| Pattern mining saliency Y Kong, L Wang, X Liu, H Lu, X Ruan Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 35 | 2016 |
| Referring image segmentation using text supervision F Liu, Y Liu, Y Kong, K Xu, L Zhang, B Yin, G Hancke, R Lau Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 32 | 2023 |
| Spatial context-aware network for salient object detection Y Kong, M Feng, X Li, H Lu, X Liu, B Yin Pattern Recognition 114, 107867, 2021 | 28 | 2021 |
| Local-global coordination with transformers for referring image segmentation F Liu, Y Kong, L Zhang, G Feng, B Yin Neurocomputing 522, 39-52, 2023 | 17 | 2023 |
| Transformers and CNNs fusion network for salient object detection C Yao, L Feng, Y Kong, L Xiao, T Chen Neurocomputing 520, 342-355, 2023 | 17 | 2023 |
| Contour-aware recurrent cross constraint network for salient object detection C Yao, Y Kong, L Feng, B Jin, H Si IEEE Access 8, 218739-218751, 2020 | 14 | 2020 |
| Guided erasable adversarial attack (GEAA) toward shared data protection M Zhao, B Wang, W Wang, Y Kong, T Zheng, K Ren IEEE Transactions on Information Forensics and Security 17, 2468-2482, 2022 | 13 | 2022 |
| Fast Adversarial Training with Smooth Convergence M Zhao, L Zhang, Y Kong, B Yin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| Double cross-modality progressively guided network for RGB-D salient object detection C Yao, L Feng, Y Kong, S Li, H Li Image and Vision Computing 117, 104351, 2022 | 8 | 2022 |
| Exemplar-aided salient object detection via joint latent space embedding Y Kong, J Zhang, H Lu, X Liu IEEE Transactions on Image Processing 27 (10), 5167-5177, 2018 | 7 | 2018 |
| Class correlation correction for unbiased scene graph generation M Zhao, Y Kong, L Zhang, B Yin Pattern Recognition 149, 110221, 2024 | 5 | 2024 |
| Temporal knowledge graph reasoning triggered by memories M Zhao, L Zhang, Y Kong, B Yin Applied Intelligence 53 (23), 28418-28433, 2023 | 5 | 2023 |
| Separable Multi-Concept Erasure from Diffusion Models M Zhao, L Zhang, T Zheng, Y Kong, B Yin arXiv preprint arXiv:2402.05947, 2024 | 4 | 2024 |
| Adversarial Attacks on Scene Graph Generation M Zhao, L Zhang, W Wang, Y Kong, B Yin IEEE Transactions on Information Forensics and Security, 2024 | 3 | 2024 |
| Bi-DAINet: Bi-directional discard-accept-integrate network for salient object detection C Yao, L Feng, Y Kong, B Jin, Y Liu, L Li Neurocomputing 428, 142-152, 2021 | 3 | 2021 |
| Catastrophic Overfitting: A Potential Blessing in Disguise M Zhao, L Zhang, Y Kong, B Yin European Conference on Computer Vision, 293-310, 2024 | 1 | 2024 |
| An adaptive composite time series forecasting model for short-term traffic flow Q Shao, X Piao, X Yao, Y Kong, Y Hu, B Yin, Y Zhang Journal of Big Data 11 (1), 102, 2024 | 1 | 2024 |
| EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation M Zhao, L Zhang, Y Kong, B Yin arXiv preprint arXiv:2312.05602, 2023 | 1 | 2023 |
| Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection Y Kong, H Wang, L Kong, Y Liu, C Yao, B Yin Sensors 23 (7), 3611, 2023 | 1 | 2023 |
| Background suppressed and motion enhanced network for weakly supervised video anomaly detection Y Liu, W Yang, H Yu, L Feng, Y Kong, S Liu Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 678-690, 2022 | 1 | 2022 |
