惠乐科研成果

个人经历 Personal experience 工作经历 教育经历 2023.2-至今，西北工业大学，电子信息学院，副教授 - 南京理工大学，计算机科学与工程学院，工学学士，2012-2016- 南京理工大学，计算机科学与工程学院，工学博士，2016-2022

教育教学

荣誉获奖 Awards Information - 南京理工大学2021年校长奖章- 研究生国家奖学金2019年

荣誉获奖

科学研究 Scientific Research 目前研究方向集中在三维场景理解与感知，围绕三维点云特征学习、三维场景语义分割，三维场景实例分割、三维场景识别、三维点云目标跟踪、三维点云生成等方向展开。 内容来自集群智慧云企服 www.jiqunzhihui.net

科学研究

学术成果 Academic Achievements 详情参考：https://fpthink.github.io/ [1] Yaqi Shen, Le Hui, Jin Xie and Jian Yang. "Self-Supervised 3D Scene Flow Estimation Guided by Superpoint". IEEE Computer Vision and Pattern Recognition Conference (CVPR 2023). CCF-A[2] Linghua Tang, Le Hui and Jin Xie. "Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation". Asian Conference on Computer Vision (ACCV 2022). CCF-C[3] Le Hui, Linghua Tang, Yaqi Shen, Jin Xie and Jian Yang. "Learning Superpoint Graph Cut for 3D Instance Segmentation". Advances in Neural Information Processing Systems (NeurIPS 2022). CCF-A[4] Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie and Jian Yang, "3D Siamese Transformer Network for Single Object Tracking on Point Clouds". European Conference on Computer Vision (ECCV 2022). CCF-B[5] Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie and Jian Yang, "RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation". European Conference on Computer Vision (ECCV 2022). CCF-B[6] Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian and Jin Xie, "Generative Subgraph Contrast for Self-Supervised Graph Representation Learning". European Conference on Computer Vision (ECCV 2022). CCF-B[7] Yikai Bian, Le Hui, Jianjun Qian and Jin Xie, "Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching". International Conference on Intelligent Robots and Systems (IROS 2022). CCF-C [8] Le Hui, Mingmei Cheng, Jin Xie, Jian Yang and Mingming Cheng, "Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition". IEEE Transactions on Image Processing (TIP 2022). CCF-A & 一区期刊[9] Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie and Jian Yang, "Reliable Inlier Evaluation for Unsupervised Point Cloud Registration". AAAI Conference on Artificial Intelligence (AAAI 2022). CCF-A[10] Rui Xu, Zongyan Han, Le Hui, Jianjun Qian and Jin Xie, "Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval". AAAI Conference on Artificial Intelligence (AAAI 2022). CCF-A[11] Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie and Jian Yang. "3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds". Advances in Neural Information Processing Systems (NeurIPS 2021). CCF-A[12] Yifan Zhao, Le Hui and Jin Xie. "SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering". ACM International Conference on Multimedia (ACM MM 2021). CCF-A[13] Le Hui, Hang Yang, Mingmei Cheng, Jin Xie and Jian Yang. "Pyramid Point Cloud Transformer for Large-Scale Place Recognition". IEEE International Conference on Computer Vision (ICCV 2021). CCF-A[14] Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie, Xiaoya Zhang and Jian Yang. "Superpoint Network for Point Cloud Oversegmentation". IEEE International Conference on Computer Vision (ICCV 2021). CCF-A[15] Mingmei Cheng, Le Hui, Jin Xie and Jian Yang. "SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network". AAAI Conference on Artificial Intelligence (AAAI 2021). CCF-A[16] Le Hui, Rui Xu, Jin Xie, Jianjun Qian and Jian Yang. "Progressive Point Cloud Deconvolution Generation Network". European Conference on Computer Vision (ECCV 2020). CCF-B[17] Mingmei Cheng, Le Hui, Jin Xie, Jian Yang and Hui Kong. "Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation". International Conference on Intelligent Robots and Systems (IROS 2020). CCF-C[18] Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou and Jian Yang. "Inter-Class Angular Loss for Convolution Neural Networks". AAAI Conference on Artificial Intelligence (AAAI 2019). CCF-A[19] Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui and Jun Li. "Data-Adaptive Metric Learning with Scale Alignment". AAAI Conference on Artificial Intelligence (AAAI 2019). CCF-A[20] Le Hui, Xiang Li, Jiaxin Chen, Hongliang He and Jian Yang. "Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders". International Conference on Pattern Recognition (ICPR 2018). CCF-C

学术成果

社会兼职 Social Appointments - 会议审稿人   Neural Information Processing Systems (NeurIPS), 2023    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2022, 2023     IEEE International Conference on Computer Vision (ICCV), 2021, 2023        European Conference on Computer Vision (ECCV),  2022    AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022, 2023    International Conference on 3D Vison (3DV), 2022    Asian Conference on Computer Vision (ACCV), 2022- 期刊审稿人    IEEE Transactions on Image Processing (TIP)    Pattern Recognition (PR)    IEEE Robotics and Automation Letter (RA-L) 内容来自集群智慧云企服 软件产品登记测试全国受理

综合介绍

团队信息 Team Information 隶属于西北工业大学电子信息学院戴玉超教授课题组-计算机视觉与机器人研究组（ The Computer Vision and Robotics Group ，简称CVR），主要研究领域围绕机器视觉与人工智能，聚焦三维视觉、计算成像与新型传感器、视觉认知与理解等方向，致力于打造具有国际影响的计算机视觉与机器人研究。 内容来自集群智慧云企服 请访问正版网址 www.jiqunzhihui.net