| Relation-Aware Global Attention for Person Re-identification Z Zhang, C Lan, W Zeng, X Jin, Z Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 861 | 2020 |
| NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation J Zhang, K Wang, R Xu, G Zhou, Y Hong, X Fang, Q Wu, Z Zhang, W He RSS, 2024, 2024 | 412 | 2024 |
| Densely Semantically Aligned Person Re-identification Z Zhang, C Lan, W Zeng, Z Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 376 | 2019 |
| Region Normalization for Image Inpainting T Yu, Z Guo, X Jin, S Wu, Z Chen, W Li, Z Zhang, S Liu The AAAI Conference on Artificial Intelligence (AAAI), 2020, 2020 | 265 | 2020 |
| Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks J Zhang, K Wang, S Wang, M Li, H Liu, S Wei, Z Wang, Z Zhang, H Wang RSS, 2025, 2024 | 248 | 2024 |
| Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification K Zheng, C Lan, W Zeng, Z Zhang, ZJ Zha The AAAI Conference on Artificial Intelligence (AAAI), 2021, 2020 | 222 | 2020 |
| Causal Contextual Prediction for Learned Image Compression Z Guo, Z Zhang, R Feng, Z Chen IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021, 2021 | 216 | 2021 |
| DreamVLA: a Vision-Language-Action Model Dreamed with Comprehensive World Knowledge W Zhang, H Liu, Z Qi, Y Wang, X Yu, J Zhang, R Dong, J He, H Wang, ... NeurIPS, 2025, 2025 | 212 | 2025 |
| Adaptive Frequency Filters As Efficient Global Token Mixers Z Huang, Z Zhang, C Lan, ZJ Zha, Y Lu, B Guo ICCV, 2023, 2023 | 193 | 2023 |
| GraspVLA: A Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data S Deng, M Yan, S Wei, H Ma, Y Yang, J Chen, Z Zhang, T Yang, X Zhang, ... CoRL, 2025, 2025 | 170 | 2025 |
| Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification Z Zhang, C Lan, W Zeng, Z Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 154 | 2020 |
| Deep Frequency Filtering for Domain Generalization S Lin, Z Zhang, Z Huang, Y Lu, C Lan, P Chu, Q You, J Wang, Z Liu, ... CVPR, 2023, 2022 | 148 | 2022 |
| Soft then Hard: Rethinking the Quantization in Neural Image Compression Z Guo, Z Zhang, R Feng, Z Chen The International Conference on Machine Learning (ICML), 2021, 2021 | 124 | 2021 |
| ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation G Wei, C Lan, W Zeng, Z Zhang, Z Chen The Conference on Neural Information Processing Systems (NeurIPS), 2021, 2021 | 122 | 2021 |
| Learning to Run Challenge Solutions: Adapting Reinforcement Learning Methods for Neuromusculoskeletal Environments Ł Kidziński, SP Mohanty, CF Ong, Z Huang, S Zhou, A Pechenko, ... The NIPS'17 Competition: Building Intelligent Systems, 121-153, 2018 | 121 | 2018 |
| Asynchronous Episodic Deep Deterministic Policy Gradient: Toward Continuous Control in Computationally Complex Environments Z Zhang, J Chen, Z Chen, W Li IEEE Transactions on Cybernetics, 2019, 2019 | 104 | 2019 |
| SeD: Semantic-Aware Discriminator for Image Super-Resolution B Li, X Li, H Zhu, Y Jin, R Feng, Z Zhang, Z Chen CVPR, 2024, 2024 | 98 | 2024 |
| Pose-guided Feature Learning with Knowledge Distillation for Occluded Person Re-identification K Zheng, C Lan, W Zeng, J Liu, Z Zhang, ZJ Zha ACM Multimedia (ACM MM), 2021, 2021 | 95 | 2021 |
| Mask-based Latent Reconstruction for Reinforcement Learning T Yu, Z Zhang, C Lan, Z Chen, Y Lu NeurIPS, 2022, 2022 | 91 | 2022 |
| Learned Block-based Hybrid Image Compression Y Wu, X Li, Z Zhang, X Jin, Z Chen IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021, 2021 | 91 | 2021 |