| Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better O Kupyn, T Martyniuk, J Wu, Z Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1179 | 2019 |
| Gaze prediction in dynamic 360 immersive videos Y Xu, Y Dong, J Wu, Z Sun, Z Shi, J Yu, S Gao proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 331 | 2018 |
| Large language models are effective text rankers with pairwise ranking prompting Z Qin, R Jagerman, K Hui, H Zhuang, J Wu, L Yan, J Shen, T Liu, J Liu, ... arXiv preprint arXiv:2306.17563, 2023 | 204 | 2023 |
| Deep k-means: Re-training and parameter sharing with harder cluster assignments for compressing deep convolutions J Wu, Y Wang, Z Wu, Z Wang, A Veeraraghavan, Y Lin International Conference on Machine Learning, 5363-5372, 2018 | 152 | 2018 |
| Bridging the gap between computational photography and visual recognition RG VidalMata, S Banerjee, B RichardWebster, M Albright, P Davalos, ... IEEE transactions on pattern analysis and machine intelligence 43 (12), 4272 …, 2020 | 66 | 2020 |
| Beyond yes and no: Improving zero-shot llm rankers via scoring fine-grained relevance labels H Zhuang, Z Qin, K Hui, J Wu, L Yan, X Wang, M Bendersky arXiv preprint arXiv:2310.14122, 2023 | 61 | 2023 |
| Stronger NAS with weaker predictors J Wu, X Dai, D Chen, Y Chen, M Liu, Y Yu, Z Wang, Z Liu, M Chen, ... Advances in Neural Information Processing Systems 34, 28904-28918, 2021 | 60* | 2021 |
| Personalized saliency and its prediction Y Xu, S Gao, J Wu, N Li, J Yu IEEE transactions on pattern analysis and machine intelligence 41 (12), 2975 …, 2018 | 47 | 2018 |
| Lipo: Listwise preference optimization through learning-to-rank T Liu, Z Qin, J Wu, J Shen, M Khalman, R Joshi, Y Zhao, M Saleh, ... arXiv preprint arXiv:2402.01878, 2024 | 32 | 2024 |
| DAVID: Dual-attentional video deblurring J Wu, X Yu, D Liu, M Chandraker, Z Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 28 | 2020 |
| Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. Y Xu, N Li, J Wu, J Yu, S Gao IJCAI, 3887-3893, 2017 | 24 | 2017 |
| Segmentation-aware image denoising without knowing true segmentation S Wang, B Wen, J Wu, D Tao, Z Wang arXiv preprint arXiv:1905.08965, 2019 | 21 | 2019 |
| Understanding and accelerating neural architecture search with training-free and theory-grounded metrics W Chen, X Gong, J Wu, Y Wei, H Shi, Z Yan, Y Yang, Z Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (2), 749-763, 2023 | 15 | 2023 |
| Scaling multimodal pre-training via cross-modality gradient harmonization J Wu, Y Liang, H Akbari, Z Wang, C Yu Advances in Neural Information Processing Systems 35, 36161-36173, 2022 | 11 | 2022 |
| Uncertainty-aware physically-guided proxy tasks for unseen domain face anti-spoofing J Wu, X Yu, B Liu, Z Wang, M Chandraker arXiv preprint arXiv:2011.14054, 2020 | 4 | 2020 |
| Rrm: Robust reward model training mitigates reward hacking T Liu, W Xiong, J Ren, L Chen, J Wu, R Joshi, Y Gao, J Shen, Z Qin, T Yu, ... arXiv preprint arXiv:2409.13156, 2024 | 3 | 2024 |
| Beyond Yes and No: Improving Zero-Shot Pointwise LLM Rankers via Scoring Fine-Grained Relevance Labels H Zhuang, Z Qin, K Hui, J Wu, L Yan, X Wang, M Bendersky Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 3 | 2024 |
| Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. arXiv e-prints, Article Z Qin, R Jagerman, K Hui, H Zhuang, J Wu, J Shen, T Liu, J Liu, D Metzler, ... arXiv preprint arXiv:2306.17563, 2023 | 2 | 2023 |
| Auto-X3D: Ultra-efficient video understanding via finer-grained neural architecture search Y Jiang, X Gong, J Wu, H Shi, Z Yan, Z Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 2 | 2022 |
| Broad Spectrum Image Deblurring via an Adaptive Super-Network Q Wu, Y Jiang, J Wu, V Kulikov, V Goel, N Orlov, H Shi, Z Wang, S Chang IEEE Transactions on Image Processing 32, 5270-5282, 2023 | 1 | 2023 |
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinAdresă de e-mail confirmată pe utexas.edu