In 2023, Shanghai Institute for Advanced Study, Zhejiang University has participated in computer vision conferences. Below is a list of selected work presented at CVPR:
Bo Pang, Hongchi Xia, Cewu Lu:
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving.
CVPR 2023: 5229-5239
https://ieeexplore.ieee.org/document/10203592
Wenqiang Xu, Zhenjun Yu, Han Xue, Ruolin Ye, Siqiong Yao, Cewu Lu:
Visual-Tactile Sensing for In-Hand Object Reconstruction.
CVPR 2023: 8803-8812
https://ieeexplore.ieee.org/document/10205209
Jirong Liu, Ruo Zhang, Haoshu Fang, Minghao Gou, Hongjie Fang, Chenxi Wang, Sheng Xu, Hengxu Yan, Cewu Lu:
Target-referenced Reactive Grasping for Dynamic Objects.
CVPR 2023: 8824-8833
https://ieeexplore.ieee.org/document/10203886
Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu:
NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation.
CVPR 2023: 12933-12942
https://cvpr2023.thecvf.com/virtual/2023/poster/23290
Lixin Yang, Jian Xu, Licheng Zhong, Xinyu Zhan, Zhicheng Wang, Kejian Wu, Cewu Lu:
POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo.
CVPR 2023: 21108-21112
https://cvpr.thecvf.com/virtual/2023/poster/21838
Han Xue, Wenqiang Xu, Jieyi Zhang, Tutian Tang, Yutong Li, Wenxin Du, Ruolin Ye, Cewu Lu:
GarmentTracking: Category-Level Garment Pose Tracking.
CVPR 2023: 21233-21242
https://cvpr.thecvf.com/virtual/2023/poster/22234
Jianhua Sun, Yuxuan Li, Liang Chai, Cewu Lu:
Stimulus Verification is a Universal and Effective Sampler in Multi-modal Human Trajectory Prediction.
CVPR 2023: 22014-22023
https://cvpr.thecvf.com/virtual/2023/papers.html
Mengze Li, Han Wang, Wenqiao Zhang, Jiaxu Miao, Zhou Zhao, Shengyu Zhang, Wei Ji, Fei Wu:
WINNER: Weakly-supervised hIerarchical decompositioN and aligNment for spatio-tEmporal video gRounding.
CVPR 2023: 23090-23099
https://cvpr2023.thecvf.com/virtual/2023/poster/20964
Aoxiong Yin, Tianyun Zhong, Li Tang, Weike Jin, Tao Jin, Zhou Zhao:
Gloss Attention for Gloss-free Sign Language Translation.
CVPR 2023: 2551-2562
https://cvpr2023.thecvf.com/virtual/2023/poster/23125
Haoyuan Li, Hao Jiang, Tao Jin, Mengyan Li, Yan Chen, Zhijie Lin, Yang Zhao, Zhou Zhao:
DATE: Domain Adaptive Product Seeker for E-Commerce.
CVPR 2023: 19315-19324
https://cvpr2023.thecvf.com/virtual/2023/poster/21683
Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang:
Upcycling Models Under Domain and Category Shift.
CVPR 2023: 20019-20028
https://cvpr.thecvf.com/virtual/2023/poster/21509
Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu:
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos.
CVPR 2023: 23191-23200
https://cvpr.thecvf.com/virtual/2023/poster/22148
Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu:
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos.
CVPR 2023: 23191-23200
https://cvpr.thecvf.com/virtual/2023/poster/22148
Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Yining Lin, Xi Li:
GaitGCI: Generative Counterfactual Intervention for Gait Recognition.
CVPR 2023: 5578-5588
https://cvpr2023.thecvf.com/virtual/2023/poster/22487
Wei Su, Peihan Miao, Huanzhang Dou, Gaoang Wang, Liang Qiao, Zheyang Li, Xi Li:
Language Adaptive Weight Generation for Multi-Task Visual Grounding.
CVPR 2023: 10857-10866
https://ieeexplore.ieee.org/document/10204757/authors#authors
Guangcong Zheng, Xianpan Zhou, Xuewei Li, Zhongang Qi, Ying Shan, Xi Li:
LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation.
CVPR 2023: 22490-22499
https://ieeexplore.ieee.org/document/10203809
Shengxuming Zhang, Tianqi Shi, Yang Jiang, Xiuming Zhang, Jie Lei, Zunlei Feng, Mingli Song:
A Loopback Network for Explainable Microvascular Invasion Classification.
CVPR 2023: 7443-7453
https://ieeexplore.ieee.org/document/10205205
Xiaotian Yu, Yang Jiang, Tianqi Shi, Zunlei Feng, Yuexuan Wang, Mingli Song, Li Sun:
How to Prevent the Continuous Damage of Noises to Model Training?
CVPR 2023: 12054-12063
https://ieeexplore.ieee.org/document/10204763
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning.
CVPR 2023: 16091-16101
https://ieeexplore.ieee.org/document/10204583
Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song:
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.
CVPR 2023: 20176-20185
https://ieeexplore.ieee.org/abstract/document/10205050