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Junru Wu
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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
10632019
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
3152018
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
1442018
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
1402023
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
652020
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
52*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
442018
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 Berdersky
arXiv preprint arXiv:2310.14122, 2023
392023
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
252020
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN.
Y Xu, N Li, J Wu, J Yu, S Gao
IJCAI, 3887-3893, 2017
242017
Segmentation-aware image denoising without knowing true segmentation
S Wang, B Wen, J Wu, D Tao, Z Wang
arXiv preprint arXiv:1905.08965, 2019
192019
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
182024
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, 2023
102023
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
72023
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
62022
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
32020
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
22022
Grasping the arrow of time from the singularity: Decoding micromotion in low-dimensional latent spaces from StyleGAN
Q Wu, Y Jiang, J Wu, K Wang, G Zhang, H Shi, Z Wang, S Chang
arXiv preprint arXiv:2204.12696, 2022
12022
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
2024
LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification
Z Qin, J Wu, J Shen, T Liu, X Wang
arXiv preprint arXiv:2408.03359, 2024
2024
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