| Uncertainty Inspired RGB-D Saliency Detection Jing Zhang, Deng-Ping Fan*, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh ... IEEE TPAMI 2021 (CVPR2020-Oral & Best Paper Nomination), 2021 | 463* | 2021 |
| Weakly-Supervised Salient Object Detection via Scribble Annotations Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020 | 272* | 2020 |
| Few-shot learning via saliency-guided hallucination of samples H Zhang, J Zhang, P Koniusz Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 258 | 2019 |
| Simultaneously Localize, Segment and Rank the Camouflaged Objects Y Lyu, J Zhang, Y Dai, A Li, B Liu, N Barnes, DP Fan CVPR2021, 2021 | 255 | 2021 |
| Uncertainty-aware Joint Salient Object and Camouflaged Object Detection A Li, J Zhang, Y Lyu, B Liu, T Zhang, Y Dai CVPR2021, 2021 | 200 | 2021 |
| Deep unsupervised saliency detection: A multiple noisy labeling perspective J Zhang, T Zhang, Y Dai, M Harandi, R Hartley Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 194 | 2018 |
| RGB-D Saliency Detection via Cascaded Mutual Information Minimization Jing Zhang, Deng-Ping Fan, Yuchao Dai , Xin Yu, Yiran Zhong, Nick Barnes ... ICCV 2021, 2021 | 108* | 2021 |
| Audio–visual segmentation J Zhou, J Wang, J Zhang, W Sun, J Zhang, S Birchfield, D Guo, L Kong, ... European Conference on Computer Vision, 386-403, 2022 | 100 | 2022 |
| Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li NeurIPS 2021, 2021 | 82* | 2021 |
| Weakly Supervised Video Salient Object Detection W Zhao, J Zhang, L Li, N Barnes, N Liu, J Han CVPR2021, 2021 | 78 | 2021 |
| Transformer transforms salient object detection and camouflaged object detection Y Mao, J Zhang, Z Wan, Y Dai, A Li, Y Lv, X Tian, DP Fan, N Barnes arXiv preprint arXiv:2104.10127 1 (2), 5, 2021 | 74 | 2021 |
| Modeling Aleatoric Uncertainty for Camouflaged Object Detection Jiawei Liu, Jing Zhang, Nick Barnes WACV 2022, 2022 | 58* | 2022 |
| Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection J Zhang, J Xie, N Barnes ECCV 2020, 2020 | 54 | 2020 |
| Salient objects in clutter DP Fan, J Zhang, G Xu, MM Cheng, L Shao TPAMI 2022, 2021 | 43 | 2021 |
| Toward Deeper Understanding of Camouflaged Object Detection Y Lv, J Zhang, Y Dai, A Li, N Barnes, DP Fan IEEE transactions on circuits and systems for video technology 33 (7), 3462-3476, 2023 | 35 | 2023 |
| Weakly supervised RGB-D salient object detection with prediction consistency training and active scribble boosting Y Xu, X Yu, J Zhang, L Zhu, D Wang IEEE Transactions on Image Processing 31, 2148-2161, 2022 | 26 | 2022 |
| Deep salient object detection by integrating multi-level cues J Zhang, Y Dai, F Porikli 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-10, 2017 | 26 | 2017 |
| Semi-supervised active salient object detection Y Lv, B Liu, J Zhang, Y Dai, A Li, T Zhang Pattern Recognition 123, 108364, 2022 | 24 | 2022 |
| Salient object detection from multi-spectral remote sensing images with deep residual network Y Dai, J Zhang, M He, F Porikli, LIU Bowen Journal of Geodesy and Geoinformation Science 2 (2), 101, 2019 | 24* | 2019 |
| Learning saliency from single noisy labelling: A robust model fitting perspective J Zhang, Y Dai, T Zhang, M Harandi, N Barnes, R Hartley IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (8), 2866-2873, 2020 | 23 | 2020 |
Yuchao Dai (戴玉超)Northwestern Polytechnical University在 nwpu.edu.cn 的电子邮件经过验证
