Expectation-maximization attention networks for semantic segmentation X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 637 | 2019 |
Spatial pyramid based graph reasoning for semantic segmentation X Li*, Y Yang*, Q Zhao, T Shen, Z Lin, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 200 | 2020 |
Convolutional neural networks with alternately updated clique Y Yang, Z Zhong, T Shen, Z Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 153 | 2018 |
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers Q Zhou, X Li, L He, Y Yang, G Cheng, Y Tong, L Ma, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 96 | 2022 |
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Y Yang, S Chen, X Li, L Xie, Z Lin, D Tao Advances in Neural Information Processing Systems 35, 37991-38002, 2022 | 76 | 2022 |
Neural collapse inspired feature-classifier alignment for few-shot class incremental learning Y Yang, H Yuan, X Li, Z Lin, P Torr, D Tao ICLR 2023, 2023 | 75 | 2023 |
Sognet: Scene overlap graph network for panoptic segmentation Y Yang, H Li, X Li, Q Zhao, J Wu, Z Lin Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12637 …, 2020 | 73 | 2020 |
Joint sub-bands learning with clique structures for wavelet domain super-resolution Z Zhong, T Shen, Y Yang, Z Lin, C Zhang Advances in Neural Information Processing Systems 31, 165-175, 2018 | 73 | 2018 |
Ista-nas: Efficient and consistent neural architecture search by sparse coding Y Yang, H Li, S You, F Wang, C Qian, Z Lin Advances in Neural Information Processing Systems 33, 10503-10513, 2020 | 60 | 2020 |
Towards open vocabulary learning: A survey J Wu, X Li, S Xu, H Yuan, H Ding, Y Yang, X Li, J Zhang, Y Tong, X Jiang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 51 | 2024 |
Towards improving the consistency, efficiency, and flexibility of differentiable neural architecture search Y Yang, S You, H Li, F Wang, C Qian, Z Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 47 | 2021 |
View vertically: A hierarchical network for trajectory prediction via fourier spectrums C Wong, B Xia, Z Hong, Q Peng, W Yuan, Q Cao, Y Yang, X You European Conference on Computer Vision, 682-700, 2022 | 42 | 2022 |
Optimization algorithm inspired deep neural network structure design H Li*, Y Yang*, D Chen, Z Lin Asian Conference on Machine Learning, 614-629, 2018 | 40 | 2018 |
Panoptic-partformer: Learning a unified model for panoptic part segmentation X Li, S Xu, Y Yang, G Cheng, Y Tong, D Tao European Conference on Computer Vision, 729-747, 2022 | 35 | 2022 |
Neural collapse inspired attraction–repulsion-balanced loss for imbalanced learning L Xie, Y Yang, D Cai, X He Neurocomputing 527, 60-70, 2023 | 34 | 2023 |
Understanding imbalanced semantic segmentation through neural collapse Z Zhong*, J Cui*, Y Yang*, X Wu, X Qi, X Zhang, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 33 | 2023 |
Multi-task learning with multi-query transformer for dense prediction Y Xu, X Li, H Yuan, Y Yang, L Zhang IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 32 | 2023 |
Polyphonicformer: unified query learning for depth-aware video panoptic segmentation H Yuan, X Li, Y Yang, G Cheng, J Zhang, Y Tong, L Zhang, D Tao European Conference on Computer Vision, 582-599, 2022 | 31 | 2022 |
Problem-Dependent Power of Quantum Neural Networks on Multiclass Classification Y Du, Y Yang, D Tao, MH Hsieh Physical Review Letters 131 (14), 140601, 2023 | 28 | 2023 |
Eliminating gradient conflict in reference-based line-art colorization Z Li, Z Geng, Z Kang, W Chen, Y Yang European Conference on Computer Vision, 579-596, 2022 | 23 | 2022 |