赵德斌科研成果

INFO/基本信息 Education/教育 Work Experience/工作经历 Publication/发表文章 Awards/获得奖励 Activities/主要任职 Project/项目 Patent/专利 PhD/博士研究生 ... Activities/主要任职 Project/项目 Patent/专利 PhD/博士研究生 新建主栏目 基本信息 名称 赵德斌，汉族，1963年生，长聘教授，博士生导师，智能人机交互研究中心 Google Citations：14609; H-index:57; i10-index:223 2022年/2023年入选由斯坦福大学与Elsevier共同发布的全球前2%顶尖科学家榜单 简介 名称 赵德斌，汉族，1963年生。教授，博士生导师；哈尔滨工业大学计算机学院。 主要研究方向(Major): Image and video coding and transmission、computer vision、machine learning. 视频编码与传输、计算机视觉与机器学习。 在国际/国内学术期刊或学术会议上发表学术论文300余篇，其中IEEE Trans/Journal国际期刊论文80余篇（IEEE TCSVT, IEEE TIP, IEEE TMM, IEEE TVCG等）；在CVPR, AAAI, DCC, ECCV等国际会议发表论文20余篇。文章被引用14607余次（Google scholar）, H-index:57。 共获得国家及省部级奖励13项，其中获得国家技术发明二等奖1项，国家科学技术进步二等奖2项，省部级科学技术进步一等奖2项，省部级科学技术进步二等奖5项，省部级科学技术进步三等奖3项。共获得发明专利33项，其中美国发明专利4项，日本发明专利3项，香港发明专利2项，国家发明专利23项。指导的博士生获得全国百篇优秀博士论文提名奖和CCF优秀博士论文奖。另外获得IEEE VCIP2011和PCM2008 best paper awards。2022年/2023年入选由斯坦福大学与Elsevier共同发布的全球前2%顶尖科学家榜单。 教育经历 名称 Bachelor's degree from Harbin Institute of Technology, China, Computer Science,1985 Master's degree from Harbin Institute of Technology, China, Computer Science,1988 Doctor's degree from Harbin Institute of Technology, China, Computer Science,1998 工作经历 名称 时间 工作经历 May 1996-Dec1996 Senior Research Associate, Dept. of Computer Science, City University of Hong Kong Mar 1998-July 1998 Senior Research Associate, Dept. of Computer Science, City University of Hong Kong July 1998-Nov 1998 Research Fellow, Dept. of Computer Science, City University of Hong Kong Oct 1999-Oct 2000 Research Fellow, Dept. of Computer Science, City University of Hong Kong July 1993 Associate Professor in Dept. of CS, Harbin Institute of Technology Oct 2000 Professor in Dept. of CS, Harbin Institute of Technology Dec 2001 Doctor superviser in Institute of Computing, CAS May 2002 Doctor superviser in Harbin Institute of Technology Publication 名称 国际期刊 IEEE Trans. on Circuits Syst. Video Technol. Debin Zhao, Y. K. Chan and Wen Gao, “Low-complexity and Low-memory Entropy Coder for Image Compression,” IEEE Trans. on Circuits Syst. Video Technol.., Vol.11, No.10, pp.1140-1145, Oct. 2001 Debin Zhao, Wen Gao and Y. K. Chan, “Morphological Representation of DCT Coefficients for Image Compression,” IEEE Trans. on Circuits Syst. Video Technol., Vol.12, No.9, pp.819-823, Sept. 2002 Xiangyang Ji, Debin Zhao and Wen Gao, “Block-wise Adaptive Motion Accuracy based B-picture Coding with Low-complexity Motion Compensation”, IEEE Trans. on Circuits Syst. Video Technol., Vol.17, No.8, pp.1085-1090, Aug. 2007 Jun Sun, Wen Gao, Debin Zhao and Qingming Huang, “Statistical Model, Analysis and Approximation of Rate-Distortion Function in MPEG-4 FGS Videos,” IEEE Trans. on Circuits Syst. Video Technol., Vol.16, No.4, pp.535-539,April 2006 Xiangyang Ji, Yanyan Zheng, Debin Zhao, Feng Wu, Wen Gao, “FGS Coding Using Cycle Based Leaky Prediction through Multiple Leaky factors” , IEEE Trans. on Circuits Syst. Video Technol., Vol.18, No. 9, pp.1201-1211, Sept. 2008 Xun Guo, Yan Lu, Feng Wu, Debin Zhao, Wen Gao , “Wyner-Ziv-based Multi-view Video Coding”,IEEE Trans. on Circuits Syst. Video Technol., Vol.18, No.6, pp.713-724, June 2008 Mei Guo, Yan Lu, Feng Wu, Debin Zhao, Wen Gao, “Wyner-Ziv Switching Scheme for Multiple Bit-Rate Video Streaming”, IEEE Trans. on Circuits Syst. Video Technol.,Vol.18, No.5, pp.569-581, May 2008 Jun Sun, Wen Gao, Debin Zhao and Weiping Li, “On Rate-Distortion Modeling and Extraction of H.264/SVC Fine-Granular Scalable Video”, IEEE Trans. on Circuits Syst. Video Technol., Vol. 19, No. 3, pp. 323-336, March 2009 Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang Wang, Wen Gao, “A Spatio-temporal Auto Regressive Model for Frame Rate Up-Conversion” , IEEE Trans. on Circuits Syst. Video Technol.,Vol. 19, No. 9, pp.1289-1301, Sept. 2009 Xiangyang Ji, Sam Kwong, Debin Zhao, Hanli Wang, C. -C. Jay Kuo, Qionghai Dai, “Early Determination of Zero-quantized 8×8 DCT Coefficients” IEEE Trans. on Circuits Syst. Video Technol., Vol . 19, No. 12, pp.1755-1765, Dec. 2009 Da Liu, Debin Zhao, Xiangyang Ji, Wen Gao, “Dual Frame Motion Compensation with Optimal Long-term Reference Frame Selection and Bit Allocation”, IEEE Trans. on Circuits Syst. Video Technol., Vol.20, No.3, pp. 325-339, March 2010 Qian Huang, Debin Zhao, Siwei Ma, Wen Gao and Huifang Sun,“Deinterlacing Using Hierarchical Motion Analysis”,IEEE Trans. on Circuits Syst. Video Technol., Vol. 20, No. 5, pp.673-686, MAY 2010 Mei Guo, Zixiang Xiong, Feng Wu, Debin Zhao, Xiangyang Ji, Wen Gao, “Witsenhausen-Wyner Video Coding”, IEEE Trans. on Circuits Syst. Video Technol., Vol. 21, No. 8, pp.1049-1060, Aug. 2011 Yongbing Zhang, Xinguang Xiang, Debin Zhao, Siwe Ma, Wen Gao, “Packet Video Error Concealment with Auto Regressive Model”, IEEE Trans. on Circuits Syst. Video Technol., Vol. 22, No. 1, pp.12-27, Jan. 2012 Long Xu, Sam Kwong, Hanli Wang, Yun Zhang, Debin Zhao, Wen Gao, “A Universal Rate Control Scheme For Video Transcoding”, IEEE Trans. on Circuits Syst. VideoTechnol., Vol. 22, No. 4, pp: 489 – 501, Apr. 2012 Hongbin Liu, Ruiqin Xiong, Debin Zhao, Siwei Ma, Wen Gao, “Multiple Hypothesis Bayesian Frame Rate Up-Conversion by Adaptive Fusion of Motion-Compensated Interpolation Frames”, IEEE Trans. on Circuits Syst. VideoTechnol., Vol. 22, No. 8, pp: 1188 – 1198, Aug. 2012 Xiaopeng Fan, Feng Wu, Debin Zhao, Oscar. Ou, “Distributed Wireless Visual Communication with Power Distortion Optimization”, IEEE Trans. on Circuits Syst. Video Technol, Vol.23, No.6, pp 1040-1053, June. 2013 Jian Zhang, Debin Zhao, Ruiqin Xiong, Siwei Ma, and Wen Gao, “Image Restoration Using Joint Statistical Modeling in Space-Transform Domain” , IEEE Trans. on Circuits Syst. Video Technol, Vol. 24, No. 6, pp.915-928, June 2014 Xiaopeng Fan, Ruiqin Xiong, Debin Zhao and Feng Wu, “Layered Soft Video Broadcast for Heterogeneous Receivers”, IEEE Trans. on Circuits Syst. Video Technol, Vol. 25, No. 11, pp:1801-1814, Nov. 2015 Tao Zhang, Ming-Ting Sun, Debin Zhao*, Wen Gao, “Fast Intra Mode and CU Size Decision for HEVC”, IEEE Trans. on Circuits Syst. Video Technol, Vol. 27, No. 8, pp. 1714-1726, Aug. 2017. Na Zhang, Xiaopeng Fan, Debin Zhao, Wen Gao, “Merge Mode for Deformable Block Motion Information Derivation” , IEEE Trans. on Circuits Syst. Video Technol, Vol. 27, No. 11, pp. 2437-2449, Nov. 2017 Liang Zhao, Zhihai He, Wenming Cao, and Debin Zhao*, “Real-Time Moving Object Segmentation and Classification from HEVC Compressed Surveillance Video”, IEEE Trans. on Circuits Syst. Video Technol, Vol. 28, No.6, pp. 1346-1357, June 2018 Feng Jiang, Wen Tao, Shaohui Liu, Jie Ren, Xun Guo, Debin Zhao, “An End-to-End Compression Framework Based on Convolutional Neural Networks”, IEEE Trans. on Circuits Syst. Video Technol, Vol. 28, No. 10, pp. 3007-3018, Oct. 2018 Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Debin Zhao, Yongbing Zhang, and Wen Gao, “CG-Cast: Scalable Wireless Image SoftCast Using Compressive Gradient”, IEEE Trans. on Circuits Syst. Video Technol, Vol. 29, No. 6, pp. 1832-1843, June 2019 Yutao Liu, Ke Gu, Yongbing Zhang, Xiu Li, Guangtao Zhai, Debin Zhao, and Wen Gao, “Unsupervised Blind Image Quality Evaluation via Statistical Measurements of Structure, Naturalness and Perception”, accepted by IEEE Trans. on Circuits Syst. Video Technol, Feb. 2019 Yang Wang, Xiaopeng Fan, Shaohui Liu, Debin Zhao, and Wen Gao, “Multi-scale Convolutional Neural Network Based Intra Prediction for Video Coding”, accepted by IEEE Trans. on Circuits Syst. Video Technol, Aug. 2019 Xingtao Wang, Wenxue Cui, Riuqin Xiaong, Xiaopeng Fan, and Debin Zhao, “FCNet: Learning Noise-free Features for Point Cloud Denoising”, IEEE Trans. on Circuits Syst. Video Technol., Vol. 33, No. 11, pp.6288-6301, Nov. 2023 Wuzhen Shi, Shaohui Liu, Feng Jiang, and Debin Zhao*, “Video Compressed Sensing using Convolutional Neural Network”, IEEE Trans. on Circuits Syst. Video Technol., Vol. 31, No. 2, pp. 425-438, Feb. 2021 Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan, Debin Zhao*, “NormalNet: Learning-based Mesh Normal Denoising via Local Partition Normalization”, IEEE Trans. on Circuits Syst. Video Technol., Vol. 31, No. 12, pp. 4697-4710, Dec. 2021 Yang Wang, Xiaopeng Fan, Ruiqin Xiong, Debin Zhao, and Wen Gao, “Neural Network-based Enhancement to Inter Prediction for Video Coding”, IEEE Trans. on Circuits Syst. Video Technol., Vol. 32, No. 2, pp. 826-838, Feb. 2022 Xingtao Wang, Xiaopeng Fan, and Debin Zhao, “PointFilterNet: A Filtering Network for Point Cloud Denoising”, IEEE Trans. on Circuits Syst. Video Technol., Vol. 33, No. 3, pp.1276-1290, March, 2023 Xu Liu, Jianing Li, Jinqiao Shi, Xiaopeng Fan, Yonghong Tian, and Debin Zhao, “Event-based Monocular Depth Estimation with Recurrent Transformers”, accepted by IEEE Trans. on Circuits Syst. Video Technol., Mar., 2024 IEEE Trans. on Image Processing Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wang, Wen Gao, “A Motion Aligned Auto-Regressive Model for Frame Rate up Conversion”, IEEE Trans. on Image Processing, Vol. 19, No. 5, pp. 1248-1258, MAY 2010 Long Xu, Debin Zhao, Xiangyang Ji, Lei Deng, Sam Kwong, Wen Gao, “Window-Level Rate Control for Smooth Picture Quality and Smooth Buffer Occupancy”, IEEE Trans. on Image Processing, Vol.20, No.3, pp.723-734, March 2011 Yongbing Zhang, Debin Zhao, Jian Zhang, Ruiqin Xiong, Wen Gao, “Interpolation Dependent Image Downsampling”, IEEE Trans. on Image Processing, Vol. 20, No. 11, pp.3291-3296, Nov. 2011 Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao, “Image Interpolation via Regularized Local Linear Regression”, IEEE Trans. on Image Processing, Vol. 20, No. 12, pp.3455-3469, Dec. 2011 Xianming Liu, Debin Zhao, Jiantao Zhou,Wen Gao, Huifang Sun, “Image Interpolation via Graph-based Bayesian Label Propagation”, IEEE Trans. on Image Processing, Vol.23 ,No.3, pp.1084 - 1096 March 2014 Xianming Liu, Deming Zhai, Debin Zhao, Jiantao Zhou,Wen Gao, “Progressive Image Denoising through Hybrid Graph Laplacian Regularization: A Unified Framework”, IEEE Trans. on Image Processing, Vol. 23, No. 4, pp.1491-1503, April 2014 Jian Zhang, Debin Zhao, Wen Gao, “Group-based Sparse Representation for Image Restoration” , IEEE Trans. on Image Processing, Vol. 23, No. 8, pp.3336-3351, August 2014 Xianming Liu, Xiaolin Wu, Jiantao Zhou, and Debin Zhao, “Data-driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain”, IEEE Trans. on Image Processing, Vol. 25, No. 4, pp.1649-1659, April 2016 Xianming Liu, Deming Zhai, Jiantao Zhou, Xinfeng Zhang, Debin Zhao, Wen Gao, “Compressive Sampling-Based Image Coding for Resource-Deficient Visual Communication”, IEEE Trans. on Image Processing, Vol. 25, No. 6, pp.2844-2855, June 2016 Xianming Liu, Deming Zhai, Jiantao Zhou, Shiqi Wang, Debin Zhao, Wen Gao “Sparsity-based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization”, IEEE Trans. on Image Processing, Vol. 26, No. 2, pp. 782-796, Feb. 2017. Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao, “Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images”, IEEE Trans. on Image Processing, Vol. 26, No. 2, pp. 509-524, Feb. 2017. Xianming Liu, Gene Cheung, Chia-Wen Lin, Debin Zhao, Wen Gao, “Prior-Based Quantization Bin Matching for Cloud Storage of JPEG Images”, IEEE Trans. on Image Processing, Vol. 27, No.7, pp. 3222-3235, Jul. 2018 Xianming Liu, Deming Zhai, Rong, Chen, Xiangyang Ji, Debin Zhao, Wen Gao, “Depth Restoration from RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds”, IEEE Trans. on Image Processing, Vol. 28, No. 3, pp. 1068-1079, March 2019 Xianming Liu, Gene Cheung, Xiangyang Ji, Debin Zhao, Wen Gao, “Graph-based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images” , IEEE Trans. on Image Processing, Vol. 28, No. 3, pp. 1205-1219, March 2019 Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, and Wen Gao, “Depth Super-Resolution via Joint Color-guided Internal and External Regularizations” , IEEE Trans. on Image Processing, Vol. 28, No. 4, pp. 1636-1645, April 2019 Wuzhen Shi, Feng Jiang, Shaohui Liu, and Debin Zhao, “Image Compressed Sensing using Convolutional Neural Network”, IEEE Trans. on Image Processing, Vol. 29, No. 1, pp. 375–388, Jan. 2020 Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji, “High-Resolution Depth Maps Imaging via Attention-based Hierarchical Multi-Modal Fusion”, IEEE Trans. on Image Processing, Vol. 31, No. 12, pp. 648-663, Dec. 2021 Chentian Sun, Xiaopeng Fan, and Debin Zhao, “Lossless Recompression of JPEG Images Using Transform Domain Intra Prediction”, IEEE Trans. on Image Processing, Vol. 32, pp. 88-99, Jan. 2023 Hengyu Man, Xiaopeng Fan, Ruiqin Xiong, and Debin Zhao, “Tree-Structured Data Clustering-Driven Neural Network for Intra Prediction in Video Coding”, IEEE Trans. on Image Processing, Vol. 32, pp. 3492-3506, June 2023 IEEE Trans. on Multimedia Xiangyang Ji, Debin Zhao, Wen Gao, “Concealment of Whole-picture Loss in Hierarchical B-picture Scalable Video Coding,” IEEE Trans. on Multimedia. Vol. 11, No. 1, pp.11-22, Jan. 2009 Yuan Zhang, Wen Gao, Yan Lu, Qingming Huang and Debin Zhao, “Joint Source-Channel Rate-Distortion Optimization for H.264 Video Coding Over Error-Prone Networks,” IEEE Trans .on Multimedia, Vol.9, No.3, pp.445-454, April 2007 Feng Qi, Debin Zhao, Wen Gao, “Reduced Reference Stereoscopic Image Quality Assessment Based on Binocular Perceptual Information”, IEEE Trans. on Multimedia, Vol. 17, No. 12, pp.2338-2344, Dec. 2015 Tao Zhang, Haoming Chen, Ming-Ting Sun, Debin Zhao*, and Wen Gao, “Signal Dependent Transform Based on SVD for HEVC Intra Coding”, IEEE Trans. on Multimedia, Vol.19, No. 11, pp. 2404-2414, Nov. 2017 Yutao Liu, Guangtao Zhai, Ke Gu, Xianming Liu, Debin Zhao, Wen Gao, “Reduced-reference Image Quality Assessment in Free-Energy Principle and Sparse Representation”, IEEE Trans. on Multimedia, Vol. 20, No. 2, pp.379-391, Feb. 2018 Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao, Shin’ichi Satoh, and Wen Gao “Supervised Distributed Hashing for Large-Scale Multimedia Retrieval”, IEEE Trans. on Multimedia, Vol. 20, No. 3, pp. 675-686, March 2018 Tao Zhang, Xiaopeng Fan, Debin Zhao*, Ruiqin Xiong and Wen Gao, “Hybrid Intra Prediction Based on Local and Non-local Correlations”, IEEE Trans. on Multimedia, Vol. 20, No.7, pp. 1622-1635, July 2018 Yutao Liu, Ke Gu, Shiqi Wang, Debin Zhao and Wen Gao, “Blind Quality Assessment of Camera Images Based on Low-level and High-level Statistical Features”, IEEE Trans. on Multimedia, , Vol. 21, No.1, pp. 135-146, Jan. 2019 Zhaolin Wan, Ke Gu, Debin Zhao*, “Reduced Reference Stereoscopic Image Quality Assessment Using Sparse Representation and Natural Scene Statistics”, IEEE Trans. on Multimedia, Vol. 22, No. 8, pp. 2024-2037, Aug. 2020 Wenbin Che, Xiaopeng Fan, Ruiqin Xiong, and Debin Zhao, “Visual Relationship Embedding Network for Image Paragraph Generation”, IEEE Trans. on Multimedia, Vol. 22, No. 9, pp. 2307-2320, Sept. 2020 Wenxue Cui, Shaohui Liu, Feng Jiang, and Debin Zhao*, “Image Compressed Sensing Using Non-local Neural Network”, IEEE Trans. on Multimedia, Vol. 25, pp. 816-830, March 2023 Chen Hui, Shengping Zhang, Wenxue Cui, Shaohui Liu, Feng Jiang, and Debin Zhao, “Rate-Adaptive Neural Network for Image Compressive Sensing”, IEEE Trans. on Multimedia, Vol.26, pp.2515-2530, 2024 Wenxue Cui, Xiaopeng Fan, Jiang Zhang, and Debin Zhao*, “Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling”, IEEE Trans. on Multimedia, Vol.26, pp.4012-4027, 2024 IEEE Trans. on Visualization and Computer Graphics Wenbo Zhao, Xianming Liu, Shiqi Wang, Debin Zhao, “Graph-based Feature Preserving Mesh Normal Filtering”, accepted by IEEE Trans. on Visualization and Computer Graphics, Sept. 2019 IEEE Trans. on Industrial Electronics Long Xu, Sam Kwong, Yun Zhang, and Debin Zhao, “Low-Complexity Encoder Framework for Window-Level Rate Control Optimization”, IEEE Trans. on Industrial Electronics, Vol. 60, No.5, pp.1850-1858, May 2013 Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao,Wen Gao, “Joint Gaze Correction and Face Beautification for Conference Video using Dual Sparsity Prior”, IEEE Trans. on Industrial Electronics, Vol. 66, No. 12, pp. 9601-9611, Dec. 2019 IEEE Trans on Broadcasting Yanwei Liu, Qingming Huang, Siwei Ma, Debin Zhao, and Wen Gao, “A Novel Rate Control Technique for Multiview Video plus Depth based 3D Video Coding”, IEEE Trans on Broadcasting , Vol. 57, No. 2, pp. 562-571, June 2011 IEEE Trans on Neural Networks and Learning Systems 1. Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji, “Deep Attentional Guided Image Filtering”, accepted by IEEE Trans. on Neural Networks and Learning Systems IEEE Trans. on Computational Imaging 1. Chaopeng Zhang, Xingtao Wang, Ruiqin Xiong, Xiaopeng Fan, Debin Zhao, “Local-Global Dynamic Filtering Network for Video Super-Resolution”, IEEE Trans. on Computational Imaging, Vol. 9, pp. 963-976, 2023 IEEE Trans. on Vehicular Technology 1. Penghong Wang, Rui Zhou, Xiaopeng Fan, and Debin Zhao, “A Distance Estimation Model for DV-Hop Localization in WSNs”, IEEE Trans. on Vehicular Technology, Vol. 72, No. 4, pp.5290-5299, April 2023 IEEE Trans. on System, Man and Cybernetics Part A Gaolin Fang, Wen Gao and Debin Zhao, “Large Vocabulary Sign Language Recognition based on Fuzzy Decision Trees,” IEEE Trans. on System, Man and Cybernetics Part A: Systems and Humans, Vol.34, No.3, pp.305-314, May 2004 Gaolin Fang, Wen Gao and Debin Zhao, “Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models,” IEEE Trans. on System, Man and Cybernetics Part A: Systems and Humans, Vol. 37, No. 1, pp.1-9, Jan. 2007 Wen Gao, Bo Cao, Shiguang Shan, Xilin Chen, Delong Zhou, Xiaohua Zhang and Debin Zhao, “The CAS-PEAL large-scale Chinese face database and baseline evaluations,” IEEE Trans. on System, Man and Cybernetics Part A: Systems and Humans Vol.38, No. 1, pp.149-161, Jan 2008 IEEE Trans. on Consumer Electronics Xiaoming Li, Debin Zhao, Siwei Ma, and Wen Gao, “Fast Disparity and Motion Estimation Based on Correlations for Multiview Video Coding” IEEE Trans.on Consumer Electronics., Vol. 54, No.4, pp. 2037-2044, Nov. 2008 Qian Huang, Wen Gao, Debin Zhao and Huifang Sun, “An Efficient and Robust Adaptive Deinterlacing Technique,” IEEE Trans. on Consumer Electronics, Vol.52, No.3, pp.888-895, Aug. 2006 Zhigang Yang, Wen Gao, Yan Liu and Debin Zhao, “Deeply pipelined DSP solution to deblocking filter for H.264/AVC,” IEEE Trans. on Consumer Electronics, Vol.52, No.4, pp.1267-1274, Nov. 2006 Yang Wang, Xun Guo, Xiaopeng Fan, Yan Lu, Debin Zhao, and Wen Gao, “Parallel In-loop Filtering in HEVC Encoder on GPU”, IEEE Trans. on Consumer Electronics, Vol. 64, No.3, pp. 276-284, August 2018 Chentian Sun, Xiaopeng Fan, and Debin Zhao, “JPEG Decoding with Nonlinear Inverse Transform Network and Progressive Recurrent Residual Network”, IEEE Trans. on Consumer Electronics, Vol. 69, No.3 pp. 499-509, Aug. 2023 IEEE Journal of Selected Topics in Signal Processing Shanshe Wang, Siwei Ma, Shiqi Wang, Debin Zhao, and Wen Gao, “Rate-GOP Based Rate Control for High Efficiency Video Coding”, IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No. 6, pp.1101-1111, Dec. 2013 IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) Jian Zhang, Debin Zhao, Chen Zhao, Ruiqin Xiong, Siwei Ma, and Wen Gao, “Image Compressive Sensing Recovery via Collaborative Sparsity”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Vol. 2, No. 3, pp. 380–391, Sept. 2012 Zhaolin Wan, Han Qin, Ruiqin Xiong, Zhiyang Li, Xiaopeng Fan, Debin Zhao, “Predicting 360？ Video Saliency: A ConvLSTM Encoder-Decoder Network with Spatio-temporal Consistency”, accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IEEE JETCAS), March 2024 Journal of Machine Learning Research Feng Jiang, Shengping Zhang, Shen Wu, Yang Gao, Debin Zhao, “Multi-layered Hand Gesture Recognition with Kinect”, Journal of Machine Learning Research, Vol.16 (Feb), pp.227？254, 2015 ACM Computing Surveys Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji, “Guided Depth Map Super-resolution: A Survey”, ACM Computing Surveys, Vol.55, No. 14s, pp. 301:1-301:36, December 2023 国际会议 IEEE Data Compression Conference (Top conference, full paper) Zhaolin Wan, Yutao Liu, Feng Qi, and Debin Zhao, Reduced Reference Image Quality Assessment Based on Entropy of Classified Primitives s, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2017 Xinwei Gao, Jian Zhang, Wenbin Che, Xiaopeng Fan, Debin Zhao, Block-based Compressive Sensing Coding of Natural Images by Local Structural Measurement Matrix, , in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2015 Xianming Liu, Xiaolin Wu, Debin Zhao, Multiple Description Image Coding with Local Random Measurements, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2014 Jian Zhang, Debin Zhao, Feng Jiang, and Wen Gao, Structural Group Sparse Representation for Image Compressive Sensing Recovery, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2013 Xianming Liu, Deming Zhai, Debin Zhao, Wen Gao, Image Super-Resolution via Hierarchical and Collaborative Sparse Representation, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2013 Deming Zhai, Xianming Liu, Debin Zhao, Hong Chang, Wen Gao, Progressive Image Restoration through Hybrid Graph Laplacian Regularization, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2013 Jian Zhang, Debin Zhao, Chen Zhao, Ruiqin Xiong, Siwei Ma, and Wen Gao, Compressed Sensing Recovery via Collaborative Sparsity, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2012 Xiaopeng Fan, Feng Wu, Debin Zhao, Oscar C. Au, and Wen Gao, Distributed soft video broadcast (DCAST) with explicit motion, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2012 Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao,Ruiqin Xiong, and Wen Gao, Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2012 Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao, Huifang Sun, Transductive Regression with Local and Global Consistency for Image Super-Resolution, in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2011 Yongbing Zhang, Xinguang Xiang, Siwei Ma, Debin Zhao, Wen Gao, Auto Regressive Model- and Weighted Least Squares- Based Packet Video Error Concealment, IEEE Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, 2010 Yanwei Liu, Seiwei Ma, Qingming Huang, Debin Zhao, Wen Gao, and N. Zhang, “Compression-induced rendering distortion analysis for texture/depth rate allocation in 3D video compression,” in Proceedings of Data Compression Conference (Top conference, full paper), Snowbird, Utah, USA, pp. 352-361, Mar.16-18, 2009 IEEE Conference on Computer Vision and Pattern Recognition(CVPR) Yuelei Xie, Hong Chang, Zhe Li, Luhong Liang, Xilin Chen and Debin Zhao, A Unified Framework for Locating and Recognizing Human Actions, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Colorado Springs, USA. June 20-25, 2011 Xingming Liu, Xiaolin Wu, Debin Zhao, Data-driven Sparsity-based Restoration of JPEG-compressed Images in Dual Transform-Pixel Domain, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2015 Mu li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang, Learning Convolutional Networks for Content-weighted Image Compression, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018 Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao, Scalable Convolutional Neural Network for Image Compressed Sensing, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019. Xingtao Wang, Hongliang Wei, Xiaopeng Fan, Debin Zhao, Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2024 ACM Multimedia(MM) Wenbin Che, Xiaopeng Fan, Ruiqin Xiong, Debin Zhao, Paragraph Generation Network with Visual Relationship Detection, ACM Multimedia, 2018 Wenxue Cui, Feng Jiang, Xinwei Gao, Shengping Zhang, Debin Zhao, An Efficient Deep Quantized Compressed Sensing Coding Framework of Natural Images, ACM Multimedia, 2018 Wenxue Cui, Xingtao Wang, Xiaopeng Fan, Shaohui Liu, Chen Ma, Debin Zhao, G2-DUN: Gradient Guided Deep Unfolding Network for Image Compressive Sensing, ACM Multimedia, 2023 Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu, ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement, ACM Multimedia, 2022 Wenxue Cui, Shaohui Liu, Debin Zhao, Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing, ACM Multimedia, 2022 AAAI Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji, Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising, AAAI 2022: The Thirty-Sixth AAAI Conference on Artificial Intelligence Awards 名称 Best paper awards: 1:Jian Zhang, Ruiqin Xiong, Siwei Ma, Debin Zhao, High-Quality Image Restoration from Partial Random Samples in Spatial Domain, Visual Communication and Image Processing, 2011, IEEE VCIP 2011 Best paper award 2: Lin Ma, Feng Wu, Debin Zhao, Wen Gao, Siwei Ma. Learning-based Image Restoration for Compressed Image through Neighboring Embedding, Lecture Notes in Computer Science Volume 5353/2008,PCM 2008, Tainan, Taiwan, Dec.09, 2008, PCM 2008 Best paper award 1. 2006年获国家技术发明二等奖，排名第二（高效数字视频编解码技术及其在国际标准与国家标准中的应用）。 2. 2005年获国家科学技术进步二等奖，排名第六（人脸识别理论、技术、系统及其应用）(The theory, technologies, and systems for face recognition and their applications)。 3. 2000年获国家科学技术进步二等奖，排名第五（数字视频广播编码传输与接收系统）。 4. 2004年获北京市科学技术进步一等奖，排名第二（视频编码关键技术研究及其对MPEG-4国际标准的贡献）。 5. 2003年获上海市科技进步一等奖, 排名第六（人脸识别系统及其应用）。 6. 2002年获北京市科学技术二等奖, 排名第九（基于多功能感知理论的中国手语识别与合成研究）。 7. 1995年获航天部科技进步二等奖, 排名第二 （多媒体并行加速系统：面向多功能感知的集成多媒体系统）。 8. 1995年获航天部科技进步二等奖, 排名第二（图像处理技术-大压缩比静止图像压缩系统）。 9. 1991年获航天部科技进步二等奖, 排名第三（声控篮球比赛临场统计系统）。 10. 1989年获航天部科技进步二等奖, 排名第五（通用图像处理环境:SPIDER）。 11. 1991年获国家体育总局科技进步三等奖, 排名第三（声控篮球比赛临场统计系统）。 12. 1997年获航天部科技进步三等奖, 排名第四（多功能感知机）。 13. 1995年获航天部科技进步三等奖, 排名第三（汽车牌照自动识别系统）。 奖项成果 名称 1. 2006年获国家技术发明二等奖, （高效数字视频编解码技术及其在国际标准与国家标准中的应用）, 排名第二。完成人：高文,赵德斌,吴枫,吕岩,马思伟,孙晓艳 2. 2005年获国家科学技术进步二等奖, （人脸识别理论、技术、系统及其应用）(The theory, technologies, and systems for face recognition and their applications), 排名第六。完成人：高文、张青、山世光、陈熙霖、曾文斌、赵德斌、陈军、曹波、王国田、苗军, 主要完成单位：中国科学院计算技术研究所、上海银晨智能识别科技有限公司、哈尔滨工业大学； 3. 2000年获国家科学技术进步二等奖, 排名第五（数字视频广播编码传输与接收系统）, 完成人：高文、陈熙霖、高鹏飞、张晶、赵德斌、何锦、赵巍、屈冬生、刘伟、贺思敏； 4. 2004年获北京市科学技术进步一等奖, 排名第二（视频编码关键技术研究及其对MPEG-4国际标准的贡献）, 完成人：高文、赵德斌、吴枫、吕岩、马思伟、孙晓艳、 季向阳、王强, 中国科学院计算技术研究所, 哈尔滨工业大学 5. 2003年获上海市科技进步一等奖, 排名第六（人脸识别系统及其应用）, 完成人：张青、高文、陈军、山世光、郭英、赵德斌、曾文斌、苗军、袁祖俊、曹波、赵文忠、 周德龙、 张进军、 张洪明、潘柏松, 上海银晨智能识别科技有限公司, 中科院计算所； 6. 2002年获北京市科学技术二等奖, 排名第九（基于多功能感知理论的中国手语识别与合成研究）；中国科学院计算技术研究所, 哈尔滨工业大学, 北方交通大学, 北京工业大学； 7. 1995年获航天部科技进步二等奖, 排名第二 （多媒体并行加速系统：面向多功能感知的集成多媒体系统）； 8. 1995年获航天部科技进步二等奖, 排名第二（图像处理技术-大压缩比静止图像压缩系统）； 9. 1991年获航天部科技进步二等奖, 排名第三（声控篮球比赛临场统计系统）, 获奖总人数5人； 10. 1989年获航天部科技进步二等奖, 排名第五（通用图像处理环境:SPIDER）。 11. 1991年获国家体育总局科技进步三等奖, 排名第三（声控篮球比赛临场统计系统）, 获奖总人数5人； 12. 1997年获航天部科技进步三等奖, 排名第四（多功能感知机）； 13. 1995年获航天部科技进步三等奖, 排名第三（汽车牌照自动识别系统）； 主要任职 名称 Human-Computer Interaction Research Center,HIT Reviewer for IEEE Trans. on CSVT and IEEE Trans. on Image Processing 科研项目 名称 作为项目/课题负责人目前承担的主要科研项目： 高密度集成电子电路部件缺陷视觉检测的数学方法与智能系统（国家重点研发计划项目），课题：基于元数据与元知识的领域大模型构建（课题负责人），课题编号： 2023YFA1008501，时间：2023.12-2028.11 深度压缩感知和视频编码（负责人），国家自然科学基金项目（项目编号：62272128），项目起止年月： 2023 年 01 月至 2026 年 12 月 基于视觉特性的视频编码理论与方法研究，课题：基于稀疏特性的视频编码方法（负责人）, 国家973计划（项目编号：2015CB351804）, 时间：2015.1-2019.12 基于视觉特性的视频编码理论与方法研究，课题：分布式多视点视频编码方法（负责人）, 国家973计划（项目编号：2009CB320905）, 时间：2009.1-2013.12 基于深度学习的自然图像先验模型及高效视频编码研究（负责人），国家自然科学基金项目（项目编号：61872116），项目起止年月： 2019 年 01 月至 2022 年 12 月 基于统计建模和稀疏表示的图像视频增强表达和高效编码（负责人），国家自然科学基金项目（项目编号：61272386），项目起止年月： 2013 年 01 月至 2016 年 12 月 无线分布式环境下视频信息的协同描述与智能传输（负责人）, 国家自然科学基金重点项目（项目编号：60736043）, 时间：2008.1-2011.12 Patent 名称 国家专利： 获得国家专利：（2006年获奖得全国杰出专利工程技术评审预展项目） 专利编号：ZL 03 1 57189.1 申请编号：03157189.1, 受理日期：2003年9月18日 发明名称：用于视频预测残差系数编码的熵编码方法 发明人：高文、赵德斌、王强、马思伟、吕岩 同意日期date granted: 2005年8月10日 获得国家专利： 专利编号：ZL 03 1 57077.1 申请编号: 03157077.1, 受理日期：2003年9月12日 发明名称：一种用于视频编码的编码端/解码端双向预测方法 发明人：季向阳、高文、赵德斌、吕岩、马思伟、齐洪钢 同意日期date granted: 2005年10月26日 获得国家专利： 专利编号：ZL 200310116090.2 申请编号: 200310116090.2, 受理日期：2003年 发明名称：一种直接编码模式下确定参考图像块的方法 发明人：季向阳、高文、马思伟、赵德斌、吕岩 同意日期date granted: 2005年10月26日 获得国家专利： 专利编号：ZL200310116087.0 申请编号: 200310116087.0, 受理日期：2003年 发明名称：最大宏块类型与编码块模式联合编/解码的方法 发明人：齐洪钢、马思伟、高文、季向阳、吕岩、赵德斌 同意日期date granted: 2007年6月13日 获得国家专利： 专利编号: ZL200310116089.X 申请编号: 200310116089.X, 受理日期：2003年12月31日 发明名称：固定参考帧数编码方式下获取图像参考块的方法 发明人：高文、季向阳、马思伟、赵德斌、吕岩 同意日期date granted: 2007年6月13日 获得国家专利： 专利编号: ZL200510077293.4 发明名称：视频编码的运动矢量空间预测方法 发明人：高文、齐洪钢、季向阳、马思伟、赵德斌 同意日期date granted:：2009年3月25日 获得国家专利： 专利编号: ZL200710088261.3 发明名称：解码获取图像的方法 发明人：高文、季向阳、马思伟、赵德斌、吕岩 同意日期date granted:：2009年8月12日 获得国家专利： 申请编号: 200510126222.9 受理日期：2005年11月30日 发明名称：一种基于上下文的熵编码方法及解码方法 发明人：高文、张莉, 赵德斌, 王强 获得国家专利： 专利编号: ZL200910237862.5 受理日期：2009年11月12日 发明名称：基于梯度剖面的图像无参考质量评价方法及系统 发明人：高文、马思伟、 陈建华、 王诗淇、 赵德斌 同意日期date granted:：2012年03月11日 获得国家专利： 申请号：200910073397.6 发明名称：一种用于图像编码的图像亮度补偿方法, 发明人：赵德斌、李晓明、刘绍辉、姜峰 国际专利： 获得香港专利 专利编号Hong Kong Short Term Patent No.: HK1037462 申请编号Patent application No.: 01105139.0, filed on July 20, 2001 发明名称Title：Image Compression 发明人Inventors：Debin ZHAO, Y. K. CHAN and Wen GAO 同意日期date granted: 2002年1月4日 获得香港专利： 专利编号Hong Kong Short Term Patent No. HK1056975 申请编号Patent application No.: 03100305.7, filed on January 13 2003 发明名称Title：Image and Video Compression Techniques 发明人Inventors：Kennth K. C. LEE, Debin ZHAO and Y. K. CHAN 同意日期date granted: 2004年2月13日 在USA申请专利： 专利编号Patent No. : US2003123742-A1, 公开 US Patent application No.: 10/611,543 filed on June 3, 2002 Title：Image Compression Inventors：Debin ZHAO, Y. K. CHAN and Wen GAO Publ. Date 03 Jul 2003 Main IPC G06K-009/36 Patent No.: US 7,974,343 Title：Entropy coding Method for coding video predciction residual coefficients (用于视频预测残差系数编码的熵编码方法) Inventors：Wen Gao, Debin ZHAO, Qiang Wang and Yan Lu Date of patent: 2011年7月5日 Patent No.: US 7,974,344 Title：Method for obtaining image reference block in a code of fixed reference frame number (直接编码模式下确定参考图像块的方法) Inventors：Xiangyang Ji, Wen Gao, Siwei Ma, Debin ZHAO and Yan Lu Date of patent: 2011年7月5日 Patent No.: US 8,005,144 Title：Bi-directional predicting method for video coding/decoding (用于视频编码的编码端/解码端双向预测方法) Inventors：Xiangyang Ji, Wen Gao, Debin ZHAO, Yan Lu, Siwei Ma and Honggang Qi Date of patent: 2011年8月23日 Patent No.: US 8,116,375 Title：Method for obtaining motion vector and image reference block in a code mode of fixed reference frame a number Inventors：Wen Gao, Xiangyang Ji, Siwei Ma, Debin ZHAO, Yan Lu Date of patent: 2012年2月14日 Patent No.: JP 4670085 Title：Method for obtaining image reference block in a code of fixed reference frame number (直接编码模式下确定参考图像块的方法) Inventors：Xiangyang Ji, Wen Gao, Siwei Ma, Debin ZHAO and Yan Lu Date of patent: 2011年1月28日 Patent No.: JP 4755095 Title：Bi-directional predicting method for video coding/decoding (用于视频编码的编码端/解码端双向预测方法) Inventors：Xiangyang Ji, Wen Gao, Debin ZHAO, Yan Lu, Siwei Ma and Honggang Qi Date of patent: 2011年6月3日 博士生培养 名称 指导的博士毕业生： 季向阳，2008，可伸缩视频编码研究，清华大学，教授，国家级人才，CCF优秀博士论文，全国优秀博士学位论文提名论文 王强，2009，基于上下文的变长编码技术研究，国家广播电影电视总局广播科学研究院，教授级高级工程师 倪勋博，2009，基于手语语言学与人体运动学的手语识别研究，北京理工大学博士后 刘达，2010，基于双参考幀运动补偿的视频编码研究，航天部二院 武博，2010，基于非均匀量化和小波变换的分布式视频编码研究，首都医科大学副教授 张永兵，2010，统计推断模型及其在视频编码中的应用，哈尔滨工业大学（深圳），教授，国家级青年人才 王亮，2011，基于特征统计规律的人体行为识别方法研究，Associate Scientist at Yahoo! 项欣光，2011，多视点视频编码中容错技术研究，南京理工大学，副教授 刘贤明，2012，基于自适应回归模型的图像超分辨率技术：算法和应用，哈尔滨工业大学，教授，国家级青年人才 张健，2014，基于稀疏表示模型的图像复原技术研究，哈尔滨工业大学优秀博士论文，北京大学（深圳），助理教授 齐峰，2015，基于视觉信息表示的立体图像质量评价技术研究，计算所博士后 高欣玮，2016，基于压缩域的视频图像插值与重建技术研究，腾讯微信 赵亮，2016，HEVC视频编解码及分析技术研究，腾讯美国研究院 刘玉涛，2018，基于视觉感知与统计的图像质量评价方法研究，中国海洋大学，副教授 石武祯，2019，图像和视频的深度压缩感知，哈尔滨工业大学优秀博士论文，深圳大学助理教授 万照麟，2020，基于感知信息的图像质量评价方法研究，大连海事大学，讲师 崔文学，2022，基于深度学习的图像压缩感知及其测量值编码，哈尔滨工业大学，助理教授 孙晨天，2023，JPEG图像与帧内编码技术研究 协助高文院士指导的博士生 吕岩，Sprite Aided Video Compression and Segmentation ，全国优秀博士学位论文提名论文，Senior researcher/Research MGR at MSRA 马思伟，基于率失真优化的视频编码研究，北京大学，教授，国家优秀青年基金获得者，全国优秀博士学位论文 孙俊，流媒体编码和传输中若干关键技术的研究，北京大学，副教授 齐洪钢，视频压缩中若干关键技术的研究，中国科学院大学，副教授 张鹏，移动多媒体应用中的视频转码技术研究 郭峋，多视点视频编码技术的研究，Lead Researcher at Microsoft Research Asia 徐龙，视频编码中的码率控制算法研究，中国科学院国家天文台，研究员 张莉，视频压缩中预测误差的高效编码技术研究， Senior Engineer at Qualcomm Incorporated ,San Diego, California 杨志刚，视频编码器高效关键技术研究，哈尔滨工程大学，副教授 刘延伟，多视点视频和深度序列编码技术研究，中科院声学所 国枚，分布式视频编码关键技术的研究，Video Coding & Processing Engineer at Apple, Cupertino, California 黄倩，视频去隔行关键技术研究，河海大学 刘鸿彬，分布式视频编码关键技术研究，Senior Engineer at Qualcomm Incorporated ,San Diego, California 李晓明，三维视频编码关键技术研究 李勇鹏，分布式多视点视频编码技术研究，爱奇艺 王苫社，高效视频编码标准率失真优化研究，北京大学博士后 高敏，视频图像压缩中熵编码技术的研究，腾讯研究院 张涛，2017，视频压缩中高效帧内编码技术研究，腾讯微信 张娜，2017，视频压缩中高效帧间编码技术研究，华为海思