| 2023 | A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. | Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang |
| 2023 | Universal Domain Adaptation via Compressive Attention Matching. | Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu |
| 2023 | BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction. | Yiyao Zhu, Di Luan, Shaojie Shen |
| 2023 | Scene-Aware Label Graph Learning for Multi-Label Image Classification. | Xuelin Zhu, Jian Liu, Weijia Liu, Jiawei Ge, Bo Liu, Jiuxin Cao |
| 2023 | SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. | Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen |
| 2023 | Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers. | Zhiyu Zhu, Junhui Hou, Dapeng Oliver Wu |
| 2023 | 4D Panoptic Segmentation as Invariant and Equivariant Field Prediction. | Minghan Zhu, Shizhong Han, Maani Ghaffari, Hong Cai, Fatih Porikli, Shubhankar Borse |
| 2023 | Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. | Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang |
| 2023 | All-to-key Attention for Arbitrary Style Transfer. | Mingrui Zhu, Xiao He, Nannan Wang, Xiaoyu Wang, Xinbo Gao |
| 2023 | Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval. | Yunquan Zhu, Xinkai Gao, Bo Ke, Ruizhi Qiao, Xing Sun |
| 2023 | Rethinking Data Distillation: Do Not Overlook Calibration. | Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang |
| 2023 | Multi-Label Self-Supervised Learning with Scene Images. | Ke Zhu, Minghao Fu, Jianxin Wu |
| 2023 | Learning Gabor Texture Features for Fine-Grained Recognition. | Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu |
| 2023 | SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator. | Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei |
| 2023 | MAS: Towards Resource-Efficient Federated Multiple-Task Learning. | Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang |
| 2023 | The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data. | Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing |
| 2023 | Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition. | Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu |
| 2023 | ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment. | Bingyang Zhou, Haoyu Zhou, Tianhai Liang, Qiaojun Yu, Siheng Zhao, Yuwei Zeng, Jun Lv, Siyuan Luo, Qiancai Wang, Xinyuan Yu, Haonan Chen, Cewu Lu, Lin Shao |
| 2023 | F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives. | Tao Zhou, Qi Ye, Wenhan Luo, Kaihao Zhang, Zhiguo Shi, Jiming Chen |
| 2023 | Dataset Quantization. | Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng |
| 2023 | Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity. | Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis |
| 2023 | Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. | Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv |
| 2023 | ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition. | Yixuan Zhou, Yi Qu, Xing Xu, Hengtao Shen |
| 2023 | Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. | Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han |
| 2023 | BT | Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim |