左旺孟

基本信息 科学研究 教育教学 Selected Publication Eng 新建主栏目 基本信息 名称 左旺孟，男，汉族，1977年生。哈尔滨工业大学计算机学院机器学习研究中心教师，主要从事计算机视觉和机器学习等方面的研究。 我的新闻 荣誉称号 名称 2008年 哈尔滨工业大学优秀博士学位论文 2009年 教育部全国百篇优秀博士学位论文提名奖 2012年 教育部新世纪优秀人才 工作经历 名称 时间 工作经历 2007.8 - 2010.10 讲师 2010.10 - 副教授 2013.4 - 博导 2015.12 教授 教育经历 名称 1995年-1999年，哈尔滨工业大学 材料科学系，学士 1999年-2001年，哈尔滨工业大学 材料学专业，硕士 2001年-2007年，哈尔滨工业大学 计算机应用技术专业，博士 主要任职 名称 《IEEE Trans. Pattern Analysis and Machine Intelligence》 Associate Editor 《IEEE Trans. Image Processing》 Associate Editor 《Journal of Electronic Imaging》 Senior Editor VALSE在线理事会 理事 中国计算机学会（CCF） 高级会员 IEEE & IEEE CS Senior Member 研究领域：视觉感知与认知 名称 底层视觉： 图像/视频去噪 图像/视频超分辨 图像/视频去模糊 恶劣天气图像复原 暗光图像增强 图像去反光 基于深度学习的相机成像链路 人脸/文字复原与增强 图像质量评价 视觉生成： 图像/3D/视频生成与合成 人脸/人体生成与编辑 图像修复 场景图像生成与编辑 个性化生成/编辑 小样本生成模型自适应 视觉解析： 图像分类、物体检测、语义/示例分割 视觉跟踪、人群计数 弱/半监督学习、迁移学习、标注噪声、小样本学习、长尾分布 多任务学习、连续学习 自监督学习 对抗样本、鲁棒机器学习 无人驾驶 工业视觉 多模态预训练及多模态学习： 视觉-3D-语言多模态学习 语言驱动的视觉学习 知识驱动的视觉学习 下游任务的零样本学习与低资源适配 基于文本的图像/3D/视频生成 基于文本的视觉编辑 团队成员 名称 2025年拟招收博士生2名。 在读： 梁潮启：博士生, 研究方向: AI4S. (2024.9-) 王泽昊：博士生, 研究方向: 机器学习. (2024.3-) 吴仁龙：博士生, 研究方向: 底层视觉. (2024.3-) 刘晓禹：博士生, 研究方向: 视觉生成. (2024.3-)（ICCV'23） 姚 航：博士生, 研究方向: 工业视觉. (2023.9-) 朱航延：博士生, 研究方向: 底层视觉. (2023.3-) 郭梓贤：博士生, 研究方向: 多模态学习. (2023.9-) (CVPR'23, Findings of EMNLP'23) 张亚博：博士生, 研究方向: 视觉生成. (2023.9-)（NeurIPS'22, ICLR'24） 张琬迎：博士生, 研究方向: 视觉学习. (2022.9-) 林敬博：博士生, 研究方向: 视频增强. (2022.3-)（CVPR'24） 黄梓桐：博士生, 研究方向: 弱监督视觉学习. (2022.9-)（ECCV'22） 黄天毓：博士生, 研究方向: 3D视觉学习. (2022.9-) (AAAI'23, ICCV'23, ICLR'24, CVPR'24) 倪旻恒：博士生, 研究方向: 多模态学习. (2022.9-)（ICLR'23，CVPR'23） 李奇璋：博士生, 研究方向: 对抗学习. (2021.9-) （ICLR'23，ICLR'23，NeurIPS'23，NeurIPS'23） 张志路：博士生, 研究方向: 多摄融合增强. (2021.9-)（ICCV'21, ECCV'22, NeurIPS'22, ICLR'24, TPAMI'24） 魏于翔：博士生, 研究方向: 视觉生成. (2021.9-)（ECCV'20, ICCV'21, CVPR'23, ICCV'23） 尚 玮：博士生, 研究方向: 视频增强. (2021.3-)（ICCV'21，CVPR'23, ICCV'23） 曹 越：博士生, 研究方向: 底层视觉. (2020.9-)（CVPR'22，CVPR'23） 李俊义：博士生, 研究方向: 底层视觉. (2020.9-)（ECCV'22，CVPR'23） 董伯文：博士生, 研究方向: 视觉解析. (2020.9-)（ICCV'21, ECCV'22, ICLR'23） 芦瀚楠：博士生, 研究方向: 视频分割. (2019.9-) 王浩霖：博士生, 研究方向: 图像生成与合成. (2019.9-)（T-IP'23） 李文瑜：博士生, 研究方向: 人脸识别. (2019.3-)（CVPR'21，T-IFS'23） 杜佳芝：博士生, 研究方向: 图像复原. (2018.9-)（PR'24） 刘 铭：博士生, 研究方向: 灵活性深度网络. (2018.9-) （CVPR'19, SCIS'23） 李沅泽：博士生, 研究方向: 多任务学习. (2018.9-) 张皓凯：博士生, 研究方向: 视频插帧. (2017.9-) 2016级 丁予康：硕士生. (导师：左旺孟) (百度) 姚英杰：硕士生. (导师：张大鹏 教授) (腾讯互娱) 高鸣岐：硕士生. (导师：张宏志 副教授) (商汤科技) 冯爱迪：硕士生. (导师：张大鹏 教授) (今日头条) 于 彬：硕士生. (导师：张大鹏 教授) (阿里巴巴) 胥凤驰：硕士生. (导师：左旺孟) (中国船舶系统工程研究院) 叶玉婷：硕士生. (导师：左旺孟) (商汤科技) 2017级 果 实：硕士生. (导师：左旺孟)（读博 香港理工大学） 刘 铭：硕士生. (导师：左旺孟)（直博） 田 成：硕士生. (导师：左旺孟) （阿里巴巴-杭州） 刘雪纯：硕士生. (导师：张宏志 副教授) （华为西安） 芦瀚楠：硕士生. (导师：张大鹏 教授) （读博） 刘继业：硕士生. (导师：左旺孟) (华为北京) 2018级 董俊呈：硕士生. (导师：左旺孟) (东软（大连）) 张文强：硕士生. (导师：左旺孟) (微软中国（北京）) 吴晓川：硕士生. (导师：张大鹏 教授) (金山云科技（北京）) 汪 磊：硕士生. (导师：王宽全 教授) (字节跳动（上海）) 夏 敏：硕士生. (导师：左旺孟) （爱奇艺（成都）） 安元植: 硕士生. (导师：张大鹏 教授) （微软苏州互联网工程院） 2019级 杨 帆：硕士生. (导师：左旺孟)（快手科技（北京）） 童超宇：硕士生. (导师：张大鹏 教授) (商汤科技（北京）) 谢超豪：硕士生. (导师：左旺孟) (香港大学（读博）) 朱洁茹：硕士生. (导师：张大鹏 教授) (商汤科技（北京）) 乔 鑫：硕士生. (导师：左旺孟) (腾讯科技（深圳）) 侯丽亚：硕士生. (导师：左旺孟) (百度（北京）) 王 智: 硕士生. (导师：张宏志) (公务员（北京）) 汤东海: 硕士生. (导师：左旺孟) (美团（北京）) 2020级 魏于翔：硕士生.（硕博连读）(ECCV'20，ICCV'21) 张志路：硕士生.（硕博连读）(ICCV'21) 王东升：硕士生. (导师：张大鹏)（招商银行（上海）） 马天麒：硕士生. (导师：张大鹏)（百度（上海））(T-IP'22) 吕峥瑶：硕士生. (导师：张大鹏)（阿里巴巴（杭州））(CVPR'21, CVPR'22) 周兆楠：硕士生. (导师：左旺孟)（民生银行（北京）） 李梦浩：硕士生. (导师：张宏志)（商汤科技（深圳）） 齐书然：硕士生. (导师：左旺孟)（小米（北京）） 朱航延：硕士生. (导师：刘绍辉)（读博） 2021级 张亚博：硕士生（读博）(NeurIPS'22) 强文杰：硕士生（中兴） 郭梓贤：硕士生（读博）(CVPR'23) 郭岳林：硕士生（港城大，读博） 黄梓桐：硕士生（硕博连读）(ECCV'2022) 王若皓：硕士生（大疆） 易亚玲：硕士生（中电科） 石宇鹏：硕士生（阿里） (CVPR'2022) 张 雷：硕士生 2022级 吴仁龙：硕士生 刘晓慧：硕士生（AAAI'24） 刘晓禹：硕士生（ICCV'23） 尹志存：硕士生（ICCV'23） 姚明帅：硕士生（AAAI'24） 邹 建：硕士生 徐溶键：硕士生 王泽昊：硕士生 杨 溢：硕士生 谢宝盛：硕士生 王家琪：硕士生 2023级 姚舜宇：硕士生 冯开来：硕士生 舒欣雅：硕士生 苑世豪：硕士生 郑 米：硕士生 梅艳婷：硕士生 姚 澜：硕士生 刘文卓：硕士生 朱天一：硕士生 江稼修：硕士生 毕业： 李 钰：博士生, 研究方向: 图像复原. (2019.9-2024.1)（AAAI'23）（OPPO深圳研究院） 刘鹏举：博士生, 研究方向: 图像增强与复原. (2017.3-2023.1)（西安应用光学研究所） 言宏亮：博士生. 研究方向: 迁移学习. (2015.9-2021.12)（上海人工智能实验室） 王 昊：博士生, 研究方向: 物体检测. (2017.4-2021.11，2020年国家奖学金)（东北大学） 颜肇义：博士生, 研究方向: 人群计数. (2016.9-2021.10，2019年国家奖学金)（鹏城实验室） 李晓明：博士生, 研究方向: 引导人脸增强. (2016.9-2021.9)（南洋理工大学 (NTU) 博士后) 李 峰：博士生, 研究方向: 目标跟踪. (2015.4-2020.12)（深信服） 张玮奇：博士生, 研究方向: 三维重建. (2015.9-2020.7，2014年国家奖学金)（华为杭州） 张 凯: 博士生, 研究方向: 图像去噪、图像超分辨. (导师：张磊教授, 2014.9-2019.10，2017年国家奖学金)（苏黎世联邦理工学院 (ETHZ) 博士后 -> 南京大学) 武小荷: 博士生, 研究方向: 目标跟踪. (2014.9-2019.5）（哈尔滨工业大学) 任冬伟: 博士生, 研究方向: 图像复原、凸优化方法. (导师：张大鹏教授, 2013.9-2017.10，2015年国家奖学金)（天津大学->哈尔滨工业大学) 王法强: 博士生, 研究方向: 测度学习、深度学习. (导师：张大鹏教授, 2013.9-2018，2015年国家奖学金)（腾讯优图->虎牙) 邓 红: 博士生, 研究方向: 图像复原及盲复原. (导师：张大鹏教授)（2016年12月答辩，东北农业大学) 崔振超: 博士生, 研究方向: 计算机舌象分析、图像分割、纹理分析. (导师：王宽全教授)（2015年12月答辩，河北大学) 李兆歆: 博士生, 研究方向: 三维重建. (导师：王宽全教授)（2015年12月答辩，中科院计算所) 王 鹏: 博士生, 研究方向: 脉象传感器设计. (导师：张大鹏教授，2013年国家奖学金）（2014年11月答辩，东北农业大学) 刘 磊: 博士生, 研究方向: 计算机脉象分析、多重核学习、信号复原. (导师：张大鹏教授，2012年国家奖学金)（2013年7月答辩，中科院声学所） 赵晓飞: 硕士生, 研究方向: 图像复原. (导师：张大鹏教授)（2012年7月毕业，杭州量子金融信息服务有限公司） 王 震: 硕士生, 研究方向: 舌图像分割. (导师：张大鹏教授)（2012年7月毕业，搜狗研究院） 胡宏波: 硕士生, 研究方向: 人脸姿态估计. (导师：左旺孟)（2012年7月毕业， 瑞芯微电子 ） 林新潜: 硕士生, 研究方向: 图像复原. (导师：张大鹏教授)（2013年7月毕业， 福建省农村信用社 ） 李 震: 硕士生, 研究方向: 中药饮片分类. (导师：张大鹏教授)（2013年7月毕业，黑龙江省烟草专卖局） 任冬伟: 硕士生, 研究方向: 图像复原、凸优化方法. (导师：张大鹏教授)（2013年7月毕业，哈尔滨工业大学博士） 王法强: 硕士生, 研究方向: 度量学习、深度学习. (导师：左旺孟)（2013年7月毕业，哈尔滨工业大学博士） 侯山鹏：硕士生, 研究方向: 非线性脉象信号分析. (导师：张大鹏教授)（2014年7月毕业，浪潮河南） 贾福青：硕士生, 研究方向: 图像去噪与复原. (导师：左旺孟)（2014年7月毕业，浙江巨化信息技术有限公司） 罗长春：硕士生, 研究方向: 半监督学习、人脸识别. (导师：张大鹏教授)（2015年7月毕业， 中海地产集团有限公司 ） 陈 丽：硕士生, 研究方向: 图像纹理/结构分离. (导师：张大鹏 教授)（2015年7月毕业， 支付宝（中国）网络技术有限公司 ） 王维智：硕士生, 研究方向: 特征选择、深度学习. (导师：张大鹏 教授)（2015年7月毕业， 中国电子科技集团公司28所 ） 王保全：硕士生, 研究方向: 图像超分辨. (导师：张宏志 副教授)（2015年7月毕业，北京搜狐新媒体信息技术有限公司） 高 益：硕士生, (导师：黑科技 程俊廷 教授)（2015年7月毕业，华中科技大学博士生） 党芸琦：硕士生. (导师：左旺孟) （2016年7月毕业，航天三院） 刘鹏举：硕士生. (导师：张宏志 副教授)（2016年7月毕业，哈尔滨工业大学博士生） 朱园园：硕士生. (导师：张大鹏 教授)（2016年7月毕业，奇虎360） 潘 峰：硕士生. (导师：左旺孟)（2017年7月毕业，秒针科技） 王昊然：硕士生. (导师：左旺孟)（2017年7月毕业，商汤科技-深圳） 马 鑫：硕士生. (导师：张大鹏 教授)（2017年7月毕业，华为北京） 郑守峰：硕士生. (导师：张宏志 副教授)（2018年4月毕业，海康威视-杭州） 丁予康：硕士生. (导师：左旺孟) (2018年7月毕业，百度) 姚英杰：硕士生. (导师：张大鹏 教授) (2018年7月毕业，腾讯互娱) 高鸣岐：硕士生. (导师：张宏志 副教授) (2018年7月毕业，商汤科技) 冯爱迪：硕士生. (导师：张大鹏 教授) (2018年7月毕业，今日头条) 于 彬：硕士生. (导师：张大鹏 教授) (2018年7月毕业，阿里巴巴) 胥凤驰：硕士生. (导师：左旺孟) (2018年7月毕业，中国船舶系统工程研究院) 叶玉婷：硕士生. (导师：左旺孟) (2018年7月毕业，商汤科技) 果 实：硕士生. (导师：左旺孟)（2019年7月毕业，香港理工大学博士生） 田 成：硕士生. (导师：左旺孟) （2019年7月毕业，阿里巴巴-杭州） 刘雪纯：硕士生. (导师：张宏志 副教授) （2019年7月毕业，华为西安） 芦瀚楠：硕士生. (导师：张大鹏 教授) （2019年7月毕业，读博） 刘继业：硕士生. (导师：左旺孟) (2019年7月毕业，华为北京) 董俊呈：硕士生. (导师：左旺孟) (2020年7月毕业，东软（大连）) 张文强：硕士生. (导师：左旺孟) (2020年7月毕业，微软中国（北京）) 吴晓川：硕士生. (导师：张大鹏 教授) (2020年7月毕业，金山云科技（北京）) 汪 磊：硕士生. (导师：王宽全 教授) (2020年7月毕业，字节跳动（上海）) 夏 敏：硕士生. (导师：左旺孟) （2020年7月毕业，爱奇艺（成都）） 安元植: 硕士生. (导师：张大鹏 教授) （2020年7月毕业，微软苏州互联网工程院） 童超宇：硕士生. (导师：张大鹏 教授) (2021年7月毕业，商汤科技（北京）) 谢超豪：硕士生. (导师：左旺孟) (2021年7月毕业，香港大学（读博）) 朱洁茹：硕士生. (导师：张大鹏 教授) (2021年7月毕业，商汤科技（北京）) 乔 鑫：硕士生. (导师：左旺孟) (2021年7月毕业，腾讯科技（深圳）) 侯丽亚：硕士生. (导师：左旺孟) (2021年7月毕业，百度（北京）) 王 智: 硕士生. (导师：张宏志) (2021年7月毕业，公务员（北京）) 汤东海: 硕士生. (导师：左旺孟) (2021年7月毕业，美团（北京）) 杨 帆：硕士生. (导师：左旺孟)（快手科技（北京）） 王东升：硕士生. (导师：张大鹏)（招商银行（上海）） 马天麒：硕士生. (导师：张大鹏)（百度（上海）） 吕峥瑶：硕士生. (导师：张大鹏)（阿里云（杭州）） 周兆楠：硕士生. (导师：左旺孟)（民生银行（北京）） 李梦浩：硕士生. (导师：张宏志)（商汤科技（深圳）） 齐书然：硕士生. (导师：左旺孟)（小米（北京）） 朱航延：硕士生. (导师：刘绍辉)（读博） 杨 柳：硕士生. (导师：左旺孟)（华为（北京）） 讲授课程 名称 模式识别（生物信息技术专业 本科） 生物特征识别（计算机学院 硕士） 深度学习（计算机学院 硕士） 招生信息 名称 博士招生情况: 武小荷：博士生. (2014级，2019年毕业) 张 凯：博士生. (2014级，2019年毕业) 张玮奇：博士生. (2015级，2020年毕业) 李 峰：博士生. (2015级，2020年毕业) 言宏亮：博士生. (2015级，2021年毕业) 李晓明：博士生. (2016级，2021年毕业) 颜肇义：博士生. (2016级，2021年毕业) 王 昊：博士生. (2017级，2021年毕业) 刘鹏举：博士生. (2017级，预计2022年毕业) 张皓凯：博士生. (2017级) 杜佳芝：博士生. (2018级) 刘 铭：博士生. (2018级) 李沅泽：博士生. (2018级) 李文瑜：博士生. (2019级) 王浩霖：博士生. (2019级) 李 钰：博士生. (2019级) 芦瀚楠：博士生. (2019级) 李俊义：博士生. (2020级) 董伯文：博士生. (2020级) 曹 越：博士生, (2020级) 李奇璋：博士生, (2021级) 张志路：博士生, (2021级) 魏于翔：博士生, (2021级) 尚 玮：博士生, (2021级) 硕士招生情况: 张玮奇：硕士生. (2014级) 刘鹏举：硕士生. (2014级) 言宏亮：硕士生. (2014级) 朱园园：硕士生. (2014级) 党芸琦：硕士生. (2014级) 潘 峰：硕士生. (2015级) 马 鑫：硕士生. (2015级) 郑守峰：硕士生. (2015级) 王昊然：硕士生. (2015级) 丁予康：硕士生. (2016级) 姚英杰：硕士生. (2016级) 高鸣岐：硕士生. (2016级) 冯爱迪：硕士生. (2016级) 于 彬：硕士生. (2016级) 胥凤驰：硕士生. (2016级) 叶玉婷：硕士生. (2016级) 果 实：硕士生. (2017级) 刘 铭：硕士生. (2017级) 田 成：硕士生. (2017级) 刘雪纯：硕士生. (2017级) 芦瀚楠：硕士生. (2017级) 刘继业：硕士生. (2017级) 董俊呈：硕士生. (2018级) 张文强：硕士生. (2018级) 吴晓川：硕士生. (2018级) 汪 磊：硕士生. (2018级) 夏 敏：硕士生. (2018级) 安元植：硕士生. (2018级) 谢超豪：硕士生. (2019级) 朱洁茹：硕士生. (2019级) 侯丽亚：硕士生. (2019级) 童超宇：硕士生. (2019级) 乔 鑫：硕士生. (2019级) 杨 帆：硕士生. (2019级) 王 智：硕士生. (2019级) 汤东海：硕士生. (2019级) 魏于翔：硕士生. (2020级) 张志路：硕士生. (2020级) 王东升：硕士生. (2020级) 马天麒：硕士生. (2020级) 吕峥瑶：硕士生. (2020级) 周兆楠：硕士生. (2020级) 李梦浩：硕士生. (2020级) 齐书然：硕士生. (2020级) 朱航延：硕士生. (2020级) 张亚博：硕士生. (2021级) 强文杰：硕士生. (2021级) 郭梓贤：硕士生. (2021级) 郭岳林：硕士生. (2021级) 黄梓桐：硕士生. (2021级) 王若皓：硕士生. (2021级) 易亚玲：硕士生. (2021级) 石宇鹏：硕士生. (2021级) 张 雷：硕士生. (2021级) 吴仁龙：硕士生. (2022级) 刘晓慧：硕士生. (2022级) 刘晓禹：硕士生. (2022级) 尹志存：硕士生. (2022级) 姚明帅：硕士生. (2022级) 邹 建：硕士生. (2022级) 徐溶键：硕士生. (2022级) 王泽昊：硕士生. (2022级) 杨 溢：硕士生. (2022级) 谢宝盛：硕士生. (2022级) Publication 名称 Books: [4] L. Lin, D. Zhang, P. Luo, W. Zuo, Human Centric Visual Analysis with Deep Learning, Springer, 2019. [3] D. Zhang, W. Zuo, P. Wang, Computational Pulse Signal Analysis, Springer, 2018. [2] D. Zhang, Y. Xu, W. Zuo,Discriminative Learning in Biometrics, Springer, 2016. [1] D. Zhang, W. Zuo, N. Li, Medical Biometrics: Computerized TCM Data Analysis, World Scientific, 2015. Book Chapters: [3] W. Zuo, K. Zhang, L. Zhang, Convolutional Neural Networks for Image Denoising and Restoration: Fundamentals, Open Challenges and New Trends, In: M. Bertalmío (eds.), Denoising of Photographic Images and Video, Springer, 2018. [2] W. Zuo, H. Zhang, K. Wang, 2009, “Subspace Methods for Face Recognition: Singularity, Regularization, and Robustness”, in Book: State of the Art in Face Recognition, I-TECH Education and Publishing. [1] D. Zhang, W. Zuo, F. Yue, 2009, “Large Scale Palmprint Identification: Algorithms and Evaluation”, in Book: Biometrics: Methods, Applications and Analyses, Nova Publisher. Journal [103] Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang, Learning Context-Based Non-local Entropy Modeling for Image Compression, IEEE Trans. Neural Networks and Learning Systems, 2021. [102] Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo, Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation, IEEE Trans. Cybernetics, 2021 (Accept). [101] Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang, Asymmetric CNN for Image Superresolution, IEEE Trans. Cybernetics, 2021 (Accept). [100] Yiwen Guo, Ming Lu, Wangmeng Zuo, Changshui Zhang, Yurong Chen, Deep Likelihood Network for Image Restoration With Multiple Degradation Levels, IEEE Trans. Image Processing, 2021 (Accept). [99] Mingwen Shao, Le Li, Deyu Meng, Wangmeng Zuo, Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image, IEEE Trans. Image Processing, 2021 (Accept). [98] Hao Wang, Qilong Wang, Hongzhi Zhang, Jian Yang, Wangmeng Zuo, Constrained Online Cut-Paste for Object Detection, IEEE Transactions on Circuits and Systems for Video Technology, 2021. [97] Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo, Crowd Counting via Perspective-Guided Fractional-Dilation Convolution, IEEE Trans. Multimedia, 2021. [96] Ke Yan, Xiuying Wang, Jinman Kim, Wangmeng Zuo, David Dagan Feng, Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021. [95] Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte, Plug-and-play image restoration with deep denoiser prior, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021. [94] Zhihong Zhang, Ruiyang Liang, Xu Chen, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R Hancock, Semi-Supervised Face Frontalization in the Wild, IEEE Trans. Information Forensics and Security, 16: 909-922, 2020. [93] Xiaoming Li, Guosheng Hu, Jieru Zhu, Wangmeng Zuo*, Meng Wang, and Lei Zhang. Learning Symmetry Consistent Deep CNNs for Face Completion, IEEE Trans. Image Processing, 2020 (Accept). [92] Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang, Confidence-based Large-scale Dense Multi-view Stereo, IEEE Trans. Image Processing, 2020 (Accept). [91] Jianrui Cai, Wangmeng Zuo, Lei Zhang, Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring, IEEE Trans. Image Processing, 2020 (Accept). [90] Dongwei Ren, Wei Shang, Pengfei Zhu, Qinghua Hu, Deyu Meng, Wangmeng Zuo, Single Image Deraining Using Bilateral Recurrent Network, IEEE Trans. Image Processing, 2020 (Accept). [89] Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang, Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How, IEEE Trans. Image Processing, 2020 (Accept). [88] Mu Li, Kede Ma, Jane You, David Zhang, Wangmeng Zuo, Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression, IEEE Trans. Image Processing, 2020 (Accept). [87] Mu Li, Wangmeng Zuo*, Shuhang Gu, Jane You, David Zhang, Learning Content-Weighted Deep Image Compression, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. [86] Cairong Zhao, Xinbi Lv, Zhang Zhang, Wangmeng Zuo, Jun Wu, Duoqian Miao, Deep Fusion Feature Representation Learning with Hard Mining Center-Triplet Loss for Person Re-Identification, IEEE Trans. Multimedia, 2020. [85] Shuhang Gu, Shi Guo, Wangmeng Zuo, Yunjin Chen, Radu Timofte, Luc Van Gool, Lei Zhang, Learned Dynamic Guidance for Depth Image Reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. [84] Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li, Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. [83] Qingbo Wu, Jingang Zhang, Wenqi Ren, Wangmeng Zuo, Xiaochun Cao. Accurate Transmission Estimation for Removing Haze and Noise from a Single Image, IEEE Trans. Image Processing, 2019 (Accept). [82] Shanshan Wang, Lei Zhang, Wangmeng Zuo, Bob Zhang. Class-specific Reconstruction Transfer Learning for Visual Recognition Across Domains. IEEE Trans. Image Processing, 2019 (Accept). [81] Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang. Scaled Simplex Representation for Subspace Clustering, IEEE Trans. Cybernetics, 2019 (Accept). [80] Hongliang Yan, Qilong Wang, Peihua Li, Zhetao Li, Yong Xu, Wangmeng Zuo*. Weighted and Class-Specific Maximum MeanDiscrepancy for UnsupervisedDomain Adaptation, IEEE Trans. Multimedia, 2019 (Accept) (Code). [79] Yuan Chen, Yang Zhao, Shujie Li, Wangmeng Zuo, Wei Jia, Xiaoping Liu, Blind Quality Assessment for Cartoon Images, IEEE Transactions on Circuits and Systems for Video Technology, 2019 (Accept). [78] Dongwei Ren, Wangmeng Zuo*, David Zhang, Lei Zhang, Ming-Hsuan Yang, Simultaneous Fidelity and Regularization Learning for Image Restoration, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 (Project) [77] Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen, AttGAN: Facial Attribute Editing by Only Changing What You Want, IEEE Trans. Image Processing, 2019 (Accept). [76] Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang, Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation, IEEE Transactions on Neural Networks and Learning Systems, 2019. [75] Guangbin Wu, Weishan Chen, Hui Cheng, Wangmeng Zuo, David Zhang, Jane You, Multi-Object Grasping Detection With Hierarchical Feature Fusion, IEEE Access, vol. 7, pp. 43884 - 43894, 2019. [74] Yang Zhao, Ronggang Wang, Wei Jia, Wangmeng Zuo, Xiaoping Liu, and Wen Gao, Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion, IEEE Trans. Image Processing, 2019 (Accept). [73] Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang, Visual tracking via dynamic graph learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 (Accept). [72] Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock, Face Frontalization Using an Appearance-Flow-based Convolutional Neural Network, IEEE Trans. Image Processing, 28(5): 2187-2199, 2019. [71] Jianqing Liang, Qinghua Hu, Chuangyin Dang, Wangmeng Zuo, Weighted Graph Embedding based Metric Learning for Kinship Verification, IEEE Trans. Image Processing, 28(3): 1149-1162, 2019. [70] Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, and Ming-Hsuan Yang, Learning Support Correlation Filtersfor Visual Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 41(5): 1158 - 1172, 2019 (Code). [69] Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo. Hierarchical Scene Parsing by Weakly-supervised Learning with Image Descriptions, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 (Accept). [68] Hai Min, Wei Jia, Yang Zhao, Wangmeng Zuo, Haibin Ling, Yuetong Luo, LATE: A Level Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images, IEEE Trans. Image Processing, 27(10): 5016 - 5031, 2018. [67] Kai Zhang, Wangmeng Zuo*, Lei Zhang, FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising, IEEE Trans. Image Processing, 27(9): 4608-4622, 2018 (Code). [66] Xiaohe Wu, Wangmeng Zuo*, Liang Lin, Wei Jia, David Zhang, F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation, IEEE Transactions on Neural Networks and Learning Systems, 29(11): 5185-5199, 2018 (Code). [65] Gongning Luo, Suyu Dong, Kuanquan Wang, Wangmeng Zuo, Shaodong Cao, Henggui Zhang. Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images, IEEE Trans. Biomedical Engineering, 65(9): 1924 - 1934, 2018. [64] Hongwei Yong, Deyu Meng, Wangmeng Zuo, Lei Zhang, Robust Online Matrix Factorization for Dynamic Background Subtraction, IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 40(7): 1726 - 1740, 2018. [63] Xiaoke Zhu, Xiao-Yuan Jing, Xinge You, Wangmeng Zuo, Shiguang Shan, Wei-Shi Zheng, Image to Video Person Re-identification by Learning Heterogeneous Dictionary Pair with Feature Projection Matrix, IEEE Trans. Information Forensics and Security, 13(3): 717-732, 2018. [62] Kede Ma, Wentao Liu, Kai Zhang, Zhengfang Duanmu, Zhou Wang, Wangmeng Zuo. End-to-End Blind Image Quality Assessment Using Deep Neural Networks, IEEE Trans. Image Processing, 27(3): 1202-1213, 2018. [61] Dongwei Ren, Wangmeng Zuo*, David Zhang, Jun Xu, and Lei Zhang, Partial Deconvolution with Inaccurate Blur Kernel, IEEE Trans. Image Processing, 27(1): 511-524, 2018. [60] Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang, Active Self-Paced Learning for Cost-Effective and Progressive Face Identification, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 40(1): 7-19, 2018. [59] Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang. Distance Metric Learning via Iterated Support Vector Machines, IEEE Trans. Image Processing, 26(10): 4937 - 4950, 2017. [58] Wei Jia, Bob Zhang, Jingting Lu, Yihai Zhu, Yang Zhao, Wangmeng Zuo, Haibin Ling, Palmprint Recognition Based on Complete Direction Representation, IEEE Trans. Image Processing, 26(9): 4483 - 4498, 2017. [57] Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo*. Joint Distance and Similarity Measure Learning based on Triplet-based Constraints, Information Sciences, (406–407): 119-132, 2017. [56] Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo, Subspace Clustering guided Unsupervised Feature Selection, Pattern Recognition, 66: 364-374, 2017. [54] Kai Zhang, Wangmeng Zuo*, Yunjin Chen, Deyu Meng, and Lei Zhang, Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising, IEEE Trans. Image Processing, 26(7): 3142 - 3155, 2017 (Code) (Have been officially included in Matlab R2017b). [53] Lei Zhang, Wangmeng Zuo, Image Restoration: From Sparse and Low-rank Priors to Deep Priors, IEEE Signal Processing Magazine, 34(5): 172 - 179, Sept. 2017. [52] Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang, Cross-Domain Visual Data Matching via Generalized Similarity Measure and Feature Learning, IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 39(6): 1089 - 1102, 2017. [51] Shuhang Gu, Qi Xie, Deyu Meng, Wangmeng Zuo, Xiangchu Feng, Lei Zhang, Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision. International Journal of Computer Vision, 121(2): 183–208, 2017. [50] Yuan Xie, Shuhang Gu, Yan Liu, Wangmeng Zuo, Wensheng Zhang, Lei Zhang. Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction. IEEE Trans. Image Processing, 25(10): 4842 - 4857, 2016. [49] Wenqi Ren, Xiaochun Cao, Jinshan Pan, Xiaojie Guo, Wangmeng Zuo, Ming-Hsuan Yang, Image Deblurring via Enhanced Low Rank Prior, IEEE Trans. Image Processing, 25(7): 3426 - 3437, 2016. [48] Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo. Towards Effective Codebookless Model for Image Classification, Pattern Recognition, 59: 63 - 71, 2016. [47] Chenglong Li, Liang Lin, Wangmeng Zuo, Wenzhong Wang, Jin Tang, An Approach to Streaming Video Segmentation with Sub-optimal Low-rank Decomposition, IEEE Trans. Image Processing, 25(5): 1947 - 1960, 2016. [46] Wangmeng Zuo, Dongwei Ren, David Zhang, Shuhang Gu, Lei Zhang. Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution, IEEE Trans. Image Processing, 25(4): 1751 - 1764, 2016 (Code). [45] Chunwei Song, Feng Li, Yunqi Dang, Huijun Gao, Zifei Yan, Wangmeng Zuo*, Structured Detail Enhancement for Cross-modality Face Synthesis, Neurocomputing, 212: 107-120, 2016. [44] Hong Deng, Dongwei Ren, David Zhang, Wangmeng Zuo*, Hongzhi Zhang, Kuanquan Wang. Efficient Non-uniform Deblurring Based on Generalized Additive Convolution Model. EURASIP Journal on Advances in Signal Processing, 2016:22, pp. 1-15, 2016. [43] Lei Zhang, Wangmeng Zuo, David Zhang, LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation, IEEE Trans. Image Processing, 25(3): 1177 - 1191, 2016. [42] Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, and Lei Zhang, A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition, International Journal of Computer Vision, 118(2): 256–273, 2016. [41] Zhaoxin Li, Kuanquan Wang, Wangmeng Zuo, Deyu Meng, Lei Zhang. Detail-preserving and Content-aware Variational multi-view stereo reconstruction. IEEE Trans. Image Processing, 25(2): 864 – 877, 2016.. [40] Kai Zhang, Baoquan Wang, Wangmeng Zuo*, Hongzhi Zhang, Lei Zhang, Joint Learning of Multiple Regressors for Single Image Super-Resolution, IEEE Signal Processing Letters, 23(1): 102-106, Jan. 2016. [39] Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo. Detection-free multi-object tracking by Reconfigurable Inference with Bundle Representations. IEEE Trans. Cybernetics, 46(11): 2447 - 2458, 2016. [38] Wangmeng Zuo, Peng Wang, David Zhang. Comparison of three different types of wrist pulse signals by their physical meanings and diagnosis performance, IEEE Journal of Biomedical and Health Informatics, 20(1): 119 – 127, 2016. [37] Zhenchao Cui, Dongyu Zhang, Hongzhi Zhang, Kuanquan Wang, Wangmeng Zuo*. Weighted Nuclear Norm Minimization Based Tongue Specular Reflection Removal. Mathematical Problems in Engineering, Article ID 979415, August 2015. [36] Xiaochun Cao, Wenqi Ren, Wangmeng Zuo, Xiaojie Guo, Hassan Foroosh, Scene text deblurring using text-specific multi-scale dictionaries, IEEE Trans. Image Processing, 24(4): 1302 - 1314, Feb. 2015. [35] Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Yan Yan. L1-norm low rank matrix factorization by variational Bayes. IEEE Trans. Neural Networks and Learning Systems, 26(4): 825 - 839, Apr. 2015.. [34] Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, and Lei Zhang. Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification, IEEE Trans. Image Processing, 24(12): 4766 - 4779, 2015. [33] Zhaoxin Li, Kuanquan Wang, Wenyan Jia, Hsin-Chen Chen, Wangmeng Zuo, Deyu Meng, Mingui Sun, Multiview Stereo and Silhouette Fusion via Minimizing Generalized Reprojection Error, Image and Vision Computing, 33, 1–14, January 2015. [32] Faqiang Wang, Wangmeng Zuo*, Lei Zhang, Deyu Meng, and David Zhang, A Kernel Classification Framework for Metric Learning, IEEE Trans. Neural Networks and Learning Systems, 26(9): 1950 - 1962, 2015. [31] Zhihua Chen, Wangmeng Zuo*, Qinghua Hu, Liang Lin. Kernel Sparse Representation for Time Series Classification, Information Sciences, 292, 15–26, January 2015. [30] Dongwei Ren, Hongzhi Zhang, David Zhang, Wangmeng Zuo*. Fast Total-Variation based Image Restoration Based on Derivative Augmented Lagrangian Method, Neurocomputing, vol. 170, pp. 201–212, 2015 (Code). [29] Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Qinghua Hu, Simon Chiu. Unsupervised Feature Selection by Regularized Self-representation. Pattern Recognition, 48(2): 438–446, February 2015. [28] Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Simon Chiu, David Zhang. Image Set based Collaborative Representation for Face Recognition, IEEE Transactions on Information Forensics and Security, 9(7): 1120 - 1132, 2014. [27] Wangmeng Zuo, Lei Zhang, Chunwei Song, David Zhang and Huijun Gao, Gradient Histogram Estimation and Preservation for Texture Enhanced Image Denoising, IEEE Trans. Image Processing, 23(6): 2459 - 2472, 2014. [26] Zizhu Fan , Yong Xu , Wangmeng Zuo , Jian Yang , Jinhui Tang , Zhihui Lai , David Zhang, Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models, IEEE Transactions on Neural Networks and Learning Systems, 25(8): 1538-1552, 2014. [25] Peng Wang, Wangmeng Zuo, David Zhang, "A Novel Compound Wrist Pulse Signal Acquisition System Based on Pressure Sensor," IEEE Trans. Instrumentation and Measurement, 63(6): 1556 - 1565, 2014. [24] Hong Deng, Wangmeng Zuo*, Hongzhi Zhang, David Zhang. An Additive Convolution Model for Fast Restoration of Nonuniform Blurred Images. International Journal of Computer Mathematics, 91(11): 2446-2466, 2014. [23] Feng Yue, Wangmeng Zuo. Consistency Analysis on Orientation Features for Fast and Accurate Palmprint Identification, Information Sciences, vol. 268, pp. 78–90, 1 June 2014. [22] Zhenchao Cui, Hongzhi Zhang, David Zhang, Naimin Li, and Wangmeng Zuo*, Fast Marching over the 2D Gabor Magnitude Domain for Tongue Body Segmentation, EURASIP Journal on Advances in Signal Processing, vol. 2013, 190: 1-13, 2013. [21] Dongwei Ren, Wangmeng Zuo*, Xiaofei Zhao, Zhouchen Lin, David Zhang, Fast Gradient Vector Flow Computation Based on Augmented Lagrangian Method, Pattern Recognition Letters, 34(2): 219-225, 2013. [20] Lin Ma, David Zhang, Naimin Li, Yan Cai, Wangmeng Zuo and Kuanquan Wang, “Iris-based Medical Analysis by Geometric Deformation Features,” IEEE Journal of Biomedical and Health Informatics, 17(1): 223 – 231, Jan. 2013. [19] Lei Liu, Wangmeng Zuo, David Zhang, Hongzhi Zhang, Naimin Li. Combination of heterogeneous features for wrist pulse blood flow signal diagnosis via multiple kernel learning, IEEE Transactions on Information Technology in BioMedicine, vol. 16, no. 4, pp. 599 - 607, 2012. [18] Yong Xu, Wangmeng Zuo, Zizhu Fan. Supervised sparse representation of face images based on a heuristic strategy. Neurocomputing. 79(1): 125-131, 2012. [17] David Zhang, Wangmeng Zuo, Feng Yue. A Comparative Study of Palmprint Recognition Algorithms. ACM Computing Surveys. vol. 44, no. 1, Article 2, pp. 1-37, 2012. [16] Wangmeng Zuo*, Zhouchen Lin. A Generalized Accelerated Proximal Gradient Approach for Total Variation-Based Image Restoration. IEEE Transactions on Image Processing, vol. 20, no. 10, pp. 2748 - 2759, 2011. [15] Feng Yue, Wangmeng Zuo, David Zhang, and Bin Li. Fast palmprint identification with multiple templates per subject. Pattern Recognition Letters, vol. 32, no. 8, pp. 1108-1118, 2011. [14] Wangmeng Zuo, Feng Yue, and David Zhang. On accurate orientation extraction and appropriate distance measure for palmprint recognition. Pattern Recognition, 43(4): 964-972, 2011. [13] Dongyu Zhang, Wangmeng Zuo*, David Zhang, Hongzhi Zhang and Naimin Li. “Classification of Pulse Waveforms Using Edit Distance with Real Penalty.” EURASIP Journal on Advances in Signal Processing, 303140: 1-9, 2010. [12] Wangmeng Zuo*, Hongzhi Zhang, David Zhang, and Kuanquan Wang, "Post-Processed LDA for Face and Palmprint Recognition: What is the Rationale," Signal Processing, 90(8): 2344-2352, 2010. [11] David Zhang, Zhenhua Guo, Guangming Lu, Lei Zhang and Wangmeng Zuo, “An online system of multi-spectral palmprint verification,” IEEE Trans. Instrumentation and Measurement, 59(2): 480-490, 2010. [10] Zhenhua Guo, Wangmeng Zuo, Lei, Zhang, David Zhang, "A Unified Distance Measurement for Orientation Coding in Palmprint Verification," Neurocomputing, 73 (4-6): 944-950, 2010. [9] Feng Yue, Wangmeng Zuo, David Zhang and Kuanquan Wang, “Competitive Code-based Palmprint Recognition using FCM-based Orientation Selection,” Pattern Recognition, 42(11): 2841-2849, 2009. [8] Feng Yue, Wangmeng Zuo, David Zhang, and Kuanquan Wang, "Competitive Code Based Fast Palmprint Identification Using a Set of Cover Trees," Optical Engineering, 48(6), pp. 067204-067204-7, 2009. [7] Wangmeng Zuo*, David Zhang, and Kuanquan Wang. On kernel difference-weighted k-nearest neighbor classification. Pattern Analysis and Applications. 2008, 11: 247-257. [6] Wangmeng Zuo*, Kuanquan Wang, David Zhang, Hongzhi Zhang. Combination of two novel LDA-based methods for face recognition. Neurocomputing. 2007, 70(4-6): 735-742. [5] David Zhang, Wangmeng Zuo. Computational intelligence-based biometric technologies. IEEE Computational Intelligence Magazine. 2(2): 26-36, May 2007. [4] Hongzhi Zhang, Wangmeng Zuo, Kuanquan Wang, David Zhang. A snake-based approach to automated segmentation of tongue image using polar edge detector. International Journal of Imaging Systems and Technology. 2006, 16(4): 103-112. [3] Wangmeng Zuo, David Zhang, Kuanquan Wang. Bi-Directional PCA with assembled matrix distance metric for image recognition. IEEE Trans. Systems, Man, and Cybernetics, Part B. 2006, 36(4): 863-872. [2] Wangmeng Zuo, David Zhang, Jian Yang, Kuanquan Wang. BDPCA plus LDA: a novel fast feature extraction technique for face recognition. IEEE Trans. Systems, Man, and Cybernetics, Part B. 2006, 36(4): 946-953. [1] Wangmeng Zuo, David Zhang, Kuanquan Wang. An Assembled Matrix Distance Metric for 2DPCA-based Image Recognition. Pattern Recognition Letters. 2006, 27(3): 210-216. Conference [142] Tianyu Huang, Yihan Zeng, Bowen Dong, Hang Xu, Songcen Xu, Rynson WH Lau, Wangmeng Zuo*, Textfield3d: Towards enhancing open-vocabulary 3d generation with noisy text fields, ICLR 2024. [141] Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, Xiaopeng Zhang, Wangmeng Zuo*, Qi Tian, ControlVideo: Training-free Controllable Text-to-Video Generation, ICLR 2024. [140] Zhilu Zhang, Haoyu Wang, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo*, Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes, ICLR 2024. [139] Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng, Sentence-level Prompts Benefit Composed Image Retrieval, ICLR 2024. [138] Mingshuai Yao, Yabo Zhang, Xianhui Lin, Xiaoming Li, Wangmeng Zuo, VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization, AAAI 2024. [137] Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chaoyu Feng, Xiaotao Wang, LEI LEI, Wangmeng Zuo, Learning Real-World Image De-Weathering with Imperfect Supervision, AAAI 2024. [136] Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, Wangmeng Zuo, Decoupled Textual Embeddings for Customized Image Generation, AAAI 2024. [135] Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen, Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly, NeurIPS 2023. [134] Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen, Improving Adversarial Transferability via Intermediate-level Perturbation Decay, NeurIPS 2023. [133] Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo*, Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation, Findings of EMNLP 2023. [132] Tianyu Huang, Bowen Dong, Yunhan Yang, Xiaoshui Huang, Rynson W.H. Lau, Wanli Ouyang, Wangmeng Zuo*, CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training, ICCV 2023. [131] Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, Wangmeng Zuo*, ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation ICCV 2023. (Oral Presentation) [130] Xiaoyu Liu, Ming Liu, Junyi Li, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo, Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition, ICCV 2023. [129] Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo, Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning, ICCV 2023. [128] Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo, Towards Instance-adaptive Inference for Federated Learning, ICCV 2023. [127] Zhicun Yin, Ming Liu, Xiaoming Li, Hui Yang, Longan Xiao, Wangmeng Zuo, MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces, ICCV 2023. [126] Wei Shang, Dongwei Ren, Chaoyu Feng, Xiaotao Wang, Lei Lei, Wangmeng Zuo, Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive, ICCV 2023. [125] Zixian Guo, Bowen Dong, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo*, Texts as Images in Prompt Tuning for Multi-Label Image Recognition, CVPR 2023. [124] Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo, Learning Federated Visual Prompt in Null Space for MRI Reconstruction, CVPR 2023. [123] Junyi Li, Zhilu Zhang, Xiaoyu Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Wangmeng Zuo*, Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising, CVPR 2023. [122] Yuxiang Wei, Zhilong Ji, Xiaohe Wu, Jinfeng Bai, Lei Zhang, Wangmeng Zuo, Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis, CVPR 2023. [121] Xiaoming Li, Wangmeng Zuo, Chen Change Loy, Learning Generative Structure Prior for Blind Text Image Super-Resolution, CVPR 2023. [120] Wei Shang, Dongwei Ren, Yi Yang, Hongzhi Zhang, Kede Ma, Wangmeng Zuo, Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time, CVPR 2023. [119] Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo, Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography, CVPR 2023. [118] Minheng Ni, Xiaoming Li, Wangmeng Zuo, NUWA-LIP: Language-Guided Image Inpainting With Defect-Free VQGAN, CVPR 2023. [117] Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen, Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples, ICLR 2023. [116] Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen, Squeeze Training for Adversarial Robustness, ICLR 2023. [115] Minheng Ni, Zitong Huang, Kailai Feng, Wangmeng Zuo*, ImaginaryNet: Learning Object Detectors without Real Images and Annotations, ICLR 2023. [114] Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo*, LPT: Long-tailed Prompt Tuning for Image Classification, ICLR 2023. [113] Tianyu Huang, Bowen Dong, Jiaying Lin, Xiaohui Liu, Rynson Lau, Wangmeng Zuo*. Symmetry-Aware Transformer-based Mirror Detection, AAAI 2023. (Code) [112] Yu Li, Dongwei Ren, Xinya Shu, Wangmeng Zuo. Learning Single Image Defocus Deblurring with Misaligned Training Pairs, AAAI 2023. (Oral Presentation) (Code) [111] Zhilu Zhang, Rongjian Xu, Ming Liu, Zifei Yan, Wangmeng Zuo. Self-Supervised Image Restoration with Blurry and Noisy Pairs, NeurIPS 2022. (Code) [110] Yabo Zhang, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Wangmeng Zuo. Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks, NeurIPS 2022. (Code) [109] Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, Wangmeng Zuo, Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations, ECCV 2022. (Code) [108] Xiaoming Li, Chaofeng Chen, Xianhui Lin, Wangmeng Zuo*, Lei Zhang, From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution, ECCV 2022. (Code) [107] Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo*, Self-Promoted Supervision for Few-Shot Transformer, ECCV 2022. (Code) [106] Junyi Li, Xiaohe Wu, Zhenxing Niu, Wangmeng Zuo, Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones, ECCV 2022. (Code) [105] Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu, Adversarial Contrastive Learning via Asymmetric InfoNCE, ECCV 2022. [104] Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo*, W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection, ECCV 2022. (Code) [103] Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Mingming Cheng, Localization Distillation for Dense Object Detection, CVPR 2022.(Code) [102] Zhengyao Lv, Xiaoming Li, Zhenxing Niu, Bing Cao, Wangmeng Zuo*, Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis, CVPR 2022.(Code) [101] Yupeng Shi, Xiao Liu, Yuxiang Wei, Zhongqin Wu, Wangmeng Zuo*, Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis, CVPR 2022.(Code) [100] Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, Wangmeng Zuo, Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment, CVPR 2022.(Code) [99] Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang. Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting, ICCV 2021. [98] Wei Shang, Dongwei Ren, Dongqing Zou, Jimmy S. Ren, Ping Luo, Wangmeng Zuo, Bringing Events into Video Deblurring with Non-consecutively Blurry Frames, ICCV 2021. (Will be available: Code) [97] Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo*, Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision, ICCV 2021. (Code) [96] Yuxiang Wei, Yupeng Shi, Xiao Liu, Zhilong Ji, Yuan Gao, Zhongqin Wu and Wangmeng Zuo*, Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation, ICCV 2021. (Code) [95] Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo*, Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters, ICCV 2021. (Code) [94] Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji, Learning Scalable ell_affinity Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression, CVPR 2021. [93] Zhengyao Lv, Xiaoming Li, Xin Li, Fu Li, Tianwei Lin, Dongliang He, Wangmeng Zuo*, Learning Semantic Person Image Generation by Region-Adaptive Normalization, CVPR 2021. (Code) [92] Wenyu Li, Tianchu Guo, Pengyu Li, Binghui Chen, Biao Wang, Wangmeng Zuo*, Lei Zhang, VirFace: Enhancing Face Recognition via Unlabeled Shallow Data, CVPR 2021. [91] Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Chen Change Loy, Cross-Scale Internal Graph Neural Network for Image Super-Resolution, NeurIPS 2020. [90] Xin Li, Tianwei Lin, Xiao Liu, Wangmeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen, Chuang Gan, Deep concept-wise temporal convolutional networks for action localization, ACM MM 2020. [89] Hongyi Zheng, Wangmeng Zuo, Lei Zhang, BS-MCVR: Binary-sensing based Mobile-cloud Visual Recognition, ACM MM 2020. [88] Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo*, Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision, ECCV 2020. (Code) [87] Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo*, Lei Zhang, Blind Face Restoration via Deep Multi-scale Component Dictionaries, ECCV 2020. (Code) [86] Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin, Component Divide-and-Conquer for Real-World Image Super-Resolution, ECCV 2020. (Code) [85] Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo*, Unpaired Learning of Deep Image Denoising, ECCV 2020. (Code) [84] Xiaoming Li, Wenyu Li, Dongwei Ren, Hongzhi Zhang, Meng Wang, Wangmeng Zuo*, Enhanced Blind Face Restoration with Multi-Exemplar Imagesand Adaptive Spatial Feature Fusion, CVPR 2020. (Oral Presentation) (Code), [83] Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu, ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks, CVPR 2020. (Code) [82] Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo, Towards Photo-Realistic Virtual Try-On by Adaptively Generating<->Preserving Image Content, CVPR 2020. (Code) [81] Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu, What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective, CVPR 2020. (Code) [80] Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo, Neural Blind Deconvolution Using Deep Priors, CVPR 2020. (Code) [79] Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo*, Xiao Liu, Shilei Wen, Errui Ding, Image Inpainting with Learnable Bidirectional Attention Maps, ICCV 2019. (Code) (PyTorch) [78] Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo*, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding, Perspective-Guided Convolution Networks for Crowd Counting, ICCV 2019. (Code) (PyTorch) [77] Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, Jimmy Ren, Spatio-Temporal Filter Adaptive Network for Video Deblurring, ICCV 2019. (Project) [76] Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo*, Shilei Wen, STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing, CVPR 2019 (Code). [75] Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo*, Haozhe Xie, Jinshan Pan, Jimmy Ren, DAVANet: Stereo Deblurring with View Aggregation, CVPR 2019 (Dataset and Code). [74] Jinjin Gu, Hannan Lu, Wangmeng Zuo, and Chao Dong, Blind Super-Resolution With Iterative Kernel Correction, CVPR 2019. [73] Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang, Toward Convolutional Blind Denoising of Real Photographs, CVPR 2019 (Code). [72] Kai Zhang, Wangmeng Zuo*, Lei Zhang, Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels, CVPR 2019 (Code). [71] Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu, Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net, CVPR 2019. [70] Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo, Deep Global Generalized Gaussian Networks, CVPR 2019. [69] Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, and Deyu Meng, Progressive Image Deraining Networks: A Better and Simpler Baseline, CVPR 2019 (Code). [68] Haoran Zhang, Zhenzhen Hu, Changzhi Luo, Wangmeng Zuo, Meng Wang, Semantic Image Inpainting with Progressive Generative Networks, ACM MM 2018 (Oral). [67] Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, Wangmeng Zuo, Wei Liu, Ming-Hsuan Yang, Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation, NIPS 2018. [66] Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li, Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks, NIPS 2018. [65] Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng, PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities, ECCV 2018. [64] Sijia Cai, Wangmeng Zuo, Larry Davis, Lei Zhang, Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior, ECCV 2018. [63] Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo*, Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking, ECCV 2018. (Code) [62] Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo*, Liang Lin, Ruigang Yang, Learning Warped Guidance for Blind Face Restoration, ECCV 2018. (Code) [61] Zhaoyi Yan, Xiaoming Li, Mu Li, Wangmeng Zuo*, Shiguang Shan, Shift-Net: Image Inpainting via Deep Feature Rearrangement, ECCV 2018. (Code) (PyTorch) [60] Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo, Multi-level Wavelet-CNN for Image Restoration, CVPR Workshop on NTIRE 2018. (Code) [59] Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W.H. Lau, and Ming-Hsuan Yang, VITAL: VIsual Tracking via Adversarial Learning, CVPR 2018. [58] Yunhang Shen, Rongrong Ji, Shengchuan Zhang, Wangmeng Zuo, Yan Wang, Generative Adversarial Learning Towards Fast Weakly Supervised Detection, CVPR 2018. [57] Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin, Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift, CVPR 2018. [56] Kai Zhang, Wangmeng Zuo*, Lei Zhang. Learning a Single Convolutional Super-Resolution Network for Multiple Degradations, CVPR 2018. (Code) [55] Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang. Learning Convolutional Networks for Content-weighted Image Compression, CVPR 2018. (Code) [54] Feng Li, Cheng Tian, Wangmeng Zuo*, Lei Zhang, and Ming-Hsuan Yang, Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking, CVPR 2018. (Code) [53] Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo*, Multi-scale Location-aware Kernel Representation for Object Detection, CVPR 2018. (Code) [52] Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang, Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks, AAAI 2018. [51] Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo*, Ming-Hsuan Yang, Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation, ICCV Workshop on VOT 2017. (Code) [50] Shuhang Gu, Deyu Meng, Wangmeng Zuo, Lei Zhang, Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation, ICCV 2017. [49] Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo, Is Second-order Information Helpful for Large-scale Visual Recognition? ICCV 2017. [48] Sijia Cai, Wangmeng Zuo, Lei Zhang, Higher-order Integration of Hierarchical Convolutional Activations for Fine-grained Visual Categorization, ICCV 2017. [47] Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo, Ruiping Wang, Xiaoke Zhu, Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set based Classification, IJCAI 2017. [46] Kai Zhang, Wangmeng Zuo*, Shuhang Gu, Lei Zhang. Learning Deep CNN Denoiser Prior for Image Restoration, CVPR 2017 (Code). [45] Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo*. Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation, CVPR 2017 (Code). [44] Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang. Learning Dynamic Guidance for Depth Image Enhancement, CVPR 2017. [43] Chenglong Li, Liang Lin, Wangmeng Zuo and Jin Tang. Learning Patch-based Dynamic Graph for Visual Tracking, AAAI 2017. [42] Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo and Jing-YuYang. Multiset Feature Learning for Highly Imbalanced Data Classification, AAAI 2017. [41] Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo and Wei-Shi Zheng. Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image, AAAI 2017. [40] Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu. A Discriminative Self-representation Induced Classifier, IJCAI 2016. [39] Faqiang Wang, Wangmeng Zuo, Liang Lin, David Zhang, Lei Zhang. Joint Learning of Single-image and Cross-image Representations for Person Re-identification, CVPR 2016. (Github: Code) [38] Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang. RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition, CVPR 2016. [37] Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang. Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection, CVPR 2016. [36] Liang Lin, Rui Zhang, Guangrun Wang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo. Deep Structured Scene Parsing by Learning with Image Descriptions, CVPR 2016. [35] Shoou-I Yu, Deyu Meng, Wangmeng Zuo, Alexander Hauptmann. The Solution Path Algorithm for Identity-Aware Multi-Object Tracking, CVPR 2016. [34] Sijia Cai, Lei Zhang, Wangmeng Zuo, Xiangchu Feng. A Probabilistic Collaborative Representation based Approach for Pattern Classification, CVPR 2016. [33] Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang. Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization, CVPR 2016. [32] Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo. Coupled Dictionary Learning for Unsupervised Feature Selection, AAAI 2016. [31] Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng, Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising, ICCV 2015. [30] Shuhang Gu, Wangmeng Zuo, Lei Zhang, Xiangchu Feng, Deyu Meng, Qi Xie, Convolutional Sparse Coding for Image Super-resolution, ICCV 2015. [29] Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, Lei Zhang, Discriminative Learning of Iteration-wise Priors for Blind Deconvolution, CVPR 2015 (Code). [28] Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Shuicheng Yan, SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video Segmentation, CVPR 2015. [27] Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang, and Wangmeng Zuo, "Deep Joint Task Learning for Generic Object Extraction", In NIPS 2014. [26] Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014. [25] Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, and Wangmeng Zuo, "3D Activity Recognition with Reconfigurable Convolutional Neural Networks", ACM MM 2014 (long paper, oral presentation). [24] Qilong Wang, Wangmeng Zuo, Lei Zhang, and Peihua Li, Shrinkage Expansion Adaptive Metric Learning, ECCV 2014. [23] Sijia Cai, Wangmeng Zuo, Lei Zhang, Xiangchu Feng, and Ping Wang, Support Vector Guided Dictionary Learning, ECCV 2014. [22] Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, and Lei Zhang, Robust Principal Component Analysis with Complex Noise, The 31st International Conference on Machine Learning, ICML 2014. [21] Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng. Weighted Nuclear Norm Minimization with Application to Image Denoising, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [20] Peihua Li, Qilong Wang, Wangmeng Zuo, and Lei Zhang, "Log-Euclidean Kernels for Sparse Representation and Dictionary Learning", ICCV 2013. [19] Pengfei Zhu, Lei Zhang, Wangmeng Zuo, "From Point to Set: Extend the Learning of Distance Metrics", ICCV 2013. [18] Wangmeng Zuo, Deyu Meng, Lei Zhang, Xiangchu Feng, and David Zhang, "A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding", ICCV 2013. [17] Wangmeng Zuo, Lei Zhang, Chunwei Song, David Zhang, Texture Enhanced Image Denoising via Gradient Histogram Preservation, CVPR 2013. [16] Jianfeng Li, Wangmeng Zuo, Xiaofei Zhao, David Zhang. An augmented lagrangian method for fast gradient vector flow computation, International Conference on Image Processing 2011 (ICIP 2011). [15] Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang. Time Series Classification Using Support Vector Machine with Gaussian Elastic Metric Kernel. International Conference on Pattern Recognition 2010. (ICPR 2010), pp. 29-32. [14] Dongyu Zhang, Wangmeng Zuo, David Zhang, Naimin Li, Yanlai Li. Gaussian ERP Kernel Classifier for Pulse Waveforms Classification. International Conference on Pattern Recognition 2010. (ICPR 2010), pp. 2736-2739. [13] Feng Yue, Wangmeng Zuo, David Zhang. ICP Registration Using Principal Line and Orientation Feature for Palmprint Alignment. International Conference on Image Processing 2010. (ICIP 2010). [12] Wangmeng Zuo, Zhouchen Lin, Zhenhua Guo, David Zhang. The Multiscale Competitive Code via Sparse Representation for Palmprint Verification. International Conference on Computer Vision and Pattern Recognition 2010. (CVPR 2010), pp. 1-8. [11] Zhenhua Guo, Wangmeng Zuo, Lei Zhang, David Zhang. Palmprint verification using consistent orientation coding. International Conference on Image Processing 2009, pp. 1985-1988. (ICIP 2009). [10] Fei Yang, Wangmeng Zuo, Kuanquan Wang, Henggui Zhang. Visualization of Segmented Cardiac Anatomy with Accelerated Rendering Method. Computer in Cardiology 2009 (CinC 2009). [9] Fei Yang, Wangmeng Zuo, and Kuanquan Wang. 3D Cardiac MRI Data Visualization Based on Volume Data Preprocessing and Transfer Function Design. The 2008 Conference on Computers in Cardiology (CinC 2008). [8] Wangmeng Zuo, Kuanquan Wang, and Weigang Lu. Diagnosis of Cardiac Arrhythmia Using Kernel Difference Weighted KNN Classifier. The 2008 Conference on Computers in Cardiology (CinC 2008). [7] Feng Yue, Wangmeng Zuo, and Kuanquan Wang, “FCM-based Orientation Selection for Competitive Coding-based Palmprint Recognition,” International Conference on Pattern Recognition 2008 (ICPR 2008). [6] Wangmeng Zuo, Feng Yue, and Kuanquan Wang, “Multiscale Competitive Code for Efficient Palmprint Recognition,” International Conference on Pattern Recognition 2008 (ICPR 2008). [5] Feng Yue, Wangmeng Zuo, and Kuanquan Wang, “A Performance Evaluation of Filter Design and Coding Schemes for Palmprint Recognition,” International Conference on Pattern Recognition 2008 (ICPR 2008). [4] Wangmeng Zuo, Kuanquan Wang, David Zhang. Improvement on Null Space LDA for Face Recognition: A Symmetry Consideration. In: Zhang, D., Jain, A. (eds.), International Conference on Biometrics (ICB’06). 2006, LNCS3832: 78-84. [3] Kuanquan Wang, Wangmeng Zuo, David Zhang. Post-processing on LDA’s discriminant vectors for facial feature extraction. In: Kanade, T., Jain, A., and Ratha, N.K. (eds.), Audio- and Video-based Biometrics Person Authentication (AVBPA’05). 2005, LNCS3546: 346-354. [2] Wangmeng Zuo, David Zhang, Kuanquan Wang. Bi-Directional PCA with assembled matrix distance metric. Proc. IEEE Int’l Conf. Image Processing (ICIP’05). 2005, 2: 958-961. [1] Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yang. Regularization of LDA for face recognition: a post-processing method. In: Zhao, W., Gong, S., and Tang, X. (eds.), IEEE Int’l Workshop on Analysis and Modeling of Faces and Gestures 2005 (ICCV’05 Workshop). 2005, LNCS3723: 377-391. Preprints and Reports [96] Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, Wangmeng Zuo*. Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance, https://arxiv.org/abs/2012.00945. (Code) [95] Yali Peng, Yue Cao, Shigang Liu, Jian Yang, Wangmeng Zuo, Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising, https://arxiv.org/abs/2010.12422. (Code) [94] Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, Wangmeng Zuo, Discriminative Segmentation Tracking Using Dual Memory Banks, https://arxiv.org/abs/2009.09669. (Code) [93] Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte, Plug-and-Play Image Restoration with Deep Denoiser Prior, https://arxiv.org/abs/2008.13751. (Code) [92] Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo*, Unpaired Learning of Deep Image Denoising, https://arxiv.org/abs/2008.13711. (Code) [91] Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo*, Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision, https://arxiv.org/abs/2008.06843. (Code) [90] Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo*, Lei Zhang, Blind Face Restoration via Deep Multi-scale Component Dictionaries, https://arxiv.org/abs/2008.00418. (Code) [89] Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin, Component Divide-and-Conquer for Real-World Image Super-Resolution, https://arxiv.org/abs/2008.01928. (Code) [88] Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Chen Change Loy, Cross-Scale Internal Graph Neural Network for Image Super-Resolution, https://arxiv.org/abs/2006.16673. (Code) [87] Jiazhi Du, Xin Qiao, Zifei Yan, Hongzhi Zhang, Wangmeng Zuo*, Flexible Image Denoising with Multi-layer Conditional Feature Modulation, https://arxiv.org/abs/2006.13500. (Code) [86] Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang, Learning Context-Based Non-local Entropy Modeling for Image Compression, https://arxiv.org/abs/2005.04661. (Code) [85] Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo, Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation, https://arxiv.org/abs/2005.03572. (Code) (CIoU and DIoU-NMS have been included in YOLO v4) [84] Ming Liu, Zhilu Zhang, Liya Hou, Wangmeng Zuo*, Lei Zhang, Deep Adaptive Inference Networks for Single Image Super-Resolution, https://arxiv.org/abs/2004.03915. (Code) [83] Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu, ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks, https://arxiv.org/abs/1910.03151. (Code) [82] Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo, Towards Photo-Realistic Virtual Try-On by Adaptively Generating<->Preserving Image Content, https://arxiv.org/abs/2003.05863. (Code) [81] Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu, What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective, https://arxiv.org/abs/2003.11241. (Code) [38] Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo*, Xiao Liu, Shilei Wen, Errui Ding, Image Inpainting with Learnable Bidirectional Attention Maps, https://arxiv.org/abs/1909.00968. (Code) (PyTorch) [37] Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo*, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding, Perspective-Guided Convolution Networks for Crowd Counting, https://arxiv.org/abs/1909.06966. (Code) (PyTorch) [36] Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo, Neural Blind Deconvolution Using Deep Priors, https://arxiv.org/abs/1908.02197 (Code) [35] Mu Li, Kede Ma, Jane You, David Zhang, Wangmeng Zuo, Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression, https://arxiv.org/abs/1906.10057 (Code). [34] Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, Wangmeng Zuo*, Data Augmentation for Object Detection via Progressive and Selective Instance-Switching, https://arxiv.org/abs/1906.00358 (Code). [33] Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang, Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How, https://arxiv.org/abs/1905.06648 (Code). [32] Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, Jimmy Ren, Spatio-Temporal Filter Adaptive Network for Video Deblurring, https://arxiv.org/abs/1904.12257 . [31] Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen, STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing, https://arxiv.org/abs/1904.09709 (Code). [30] Yiwen Guo, Wangmeng Zuo, Changshui Zhang, Yurong Chen, Deep Likelihood Network for Image Restoration with Multiple Degradations, https://arxiv.org/abs/1904.09105. [29] Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li, Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization, https://arxiv.org/abs/1904.06836 (Code). [28] Shangchen Zhou Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren, DAVANet: Stereo Deblurring with View Aggregation, https://arxiv.org/abs/1904.05065 (Dataset and Code). [27] Jinjin Gu, Hannan Lu, Wangmeng Zuo, and Chao Dong, Blind Super-Resolution With Iterative Kernel Correction, https://arxiv.org/abs/1904.03377. [26] Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang, Learning Content-Weighted Deep Image Compression, https://arxiv.org/abs/1904.00664 (Test: Code) [25] Kai Zhang, Wangmeng Zuo*, Lei Zhang, Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels, https://arxiv.org/abs/1903.12529 (Code). [24] Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng, Progressive Image Deraining Networks: A Better and Simpler Baseline, https://arxiv.org/abs/1901.09221 (Code). [23] Xiaoming Li, Ming Liu, Jieru Zhu, Wangmeng Zuo, Meng Wang, Guosheng Hu, Lei Zhang, Learning Symmetry Consistent Deep CNNs for Face Completion, https://arxiv.org/abs/1812.07741 (Code) [22] Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo*, Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking, https://arxiv.org/abs/1807.11071. (Code) [21] Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang, Toward Convolutional Blind Denoising of Real Photographs, https://arxiv.org/abs/1807.04686 (Code). [20] Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo, Multi-level Wavelet-CNN for Image Restoration, https://arxiv.org/abs/1805.07071 (Code). [19] Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo*, Liang Lin, Ruigang Yang, Learning Warped Guidance for Blind Face Restoration, https://arxiv.org/abs/1804.04829 (Code) [18] Dongwei Ren, Wangmeng Zuo, David Zhang, Lei Zhang, Ming-Hsuan Yang, Simultaneous Fidelity and Regularization Learning for Image Restoration, https://arxiv.org/abs/1804.04522. (Project) [17] Feng Li, Cheng Tian, Wangmeng Zuo*, Lei Zhang, and Ming-Hsuan Yang, Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking, https://arxiv.org/abs/1803.08679 (Code). [16] Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo*, Multi-scale Location-aware Kernel Representation for Object Detection, https://arxiv.org/abs/1804.00428 (Code). [15] Zhaoyi Yan, Xiaoming Li, Mu Li, Wangmeng Zuo*, Shiguang Shan, Shift-Net: Image Inpainting via Deep Feature Rearrangement, https://arxiv.org/abs/1801.09392 (Code) ( (PyTorch)). [14] Mu Li, Shuhang Gu, David Zhang, Wangmeng Zuo*, Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression, https://arxiv.org/abs/1801.04662. (Code) [13] Kai Zhang, Wangmeng Zuo*, Lei Zhang. Learning a Single Convolutional Super-Resolution Network for Multiple Degradations, https://arxiv.org/abs/1712.06116 (Code). [12] Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen, Arbitrary Facial Attribute Editing: Only Change What You Want, https://arxiv.org/abs/1711.10678 (Code). [11] Kai Zhang, Wangmeng Zuo*, Lei Zhang. FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising, https://arxiv.org/abs/1710.04026 (Code). [10] Mu Li, Wangmeng Zuo*, Shuhang Gu, Debin Zhao, David Zhang. Learning Convolutional Networks for Content-weighted Image Compression, https://arxiv.org/abs/1703.10553 (Code). [9] Mu Li, Wangmeng Zuo*, David Zhang. Deep Identity-aware Transfer of Facial Attributes, https://arxiv.org/abs/1610.05586. [8] Mu Li, Wangmeng Zuo*, David Zhang. Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation, https://arxiv.org/abs/1608.06434. [7] Kai Zhang, Wangmeng Zuo*, Yunjin Chen, Deyu Meng, and Lei Zhang. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. https://arxiv.org/abs/1608.03981. [6] Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang, Learning Support Correlation Filters for Visual Tracking, http://arxiv.org/abs/1601.06032v1 (Code). [5] Zhaoxin Li, Kuanquan Wang, Wangmeng Zuo, Deyu Meng, Lei Zhang. Detail-preserving and Content-aware Variational Multi-view Stereo Reconstruction, arXiv:1505.00389, http://arxiv.org/abs/1505.00389. [4] Xiaohe Wu, Wangmeng Zuo*, Yuanyuan Zhu, Liang Lin, F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation, http://arxiv.org/abs/1504.05035 [3] Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, and Lei Zhang, Iterated support vector machines for distance metric learning, http://arxiv.org/abs/1502.00363. [2] Qi Xie, Deyu Meng, Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Zongben Xu, On the Optimal Solution of Weighted Nuclear Norm Minimization, http://arxiv.org/abs/1405.6012. [1] Faqiang Wang, Wangmeng Zuo*, Lei Zhang, Deyu Meng, David Zhang, A Kernel Classification Framework for Metric Learning. arXiv:1309.5823, http://arxiv.org/abs/1309.5823. My publication list in Google Scholar: Wangmeng Zuo