| MMDetection: Open mmlab detection toolbox and benchmark K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ... arXiv preprint arXiv:1906.07155, 2019 | 3220 | 2019 |
| GCNet: Non-local networks meet squeeze-excitation networks and beyond Y Cao*, J Xu*, S Lin, F Wei, H Hu Proceedings of the IEEE/CVF international conference on computer vision
, 2019 | 2015 | 2019 |
| GroupViT: Semantic segmentation emerges from text supervision J Xu, S De Mello, S Liu, W Byeon, T Breuel, J Kautz, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2022 | 449 | 2022 |
| Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models J Xu, S Liu, A Vahdat, W Byeon, X Wang, S De Mello Computer Vision and Pattern Recognition (CVPR), 2023 | 327 | 2023 |
| Deep high dynamic range imaging with large foreground motions S Wu, J Xu, YW Tai, CK Tang Proceedings of the European Conference on Computer Vision (ECCV), 117-132, 2018 | 307 | 2018 |
| Spatial-Temporal Relation Networks for Multi-Object Tracking J Xu, Y Cao, Z Zhang, H Hu International Conference on Computer Vision (ICCV), 2019, 2019 | 290 | 2019 |
| Semi-supervised 3d hand-object poses estimation with interactions in time S Liu, H Jiang, J Xu, S Liu, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2021 | 163 | 2021 |
| Rethinking self-supervised correspondence learning: A video frame-level similarity perspective J Xu, X Wang Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2021 | 97 | 2021 |
| Global context networks Y Cao, J Xu, S Lin, F Wei, H Hu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 6881-6895, 2020 | 92 | 2020 |
| Fast video object segmentation with temporal aggregation network and dynamic template matching X Huang, J Xu, YW Tai, CK Tang Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2020 | 68 | 2020 |
| Learning implicit feature alignment function for semantic segmentation H Hu, Y Chen, J Xu, S Borse, H Cai, F Porikli, X Wang European Conference on Computer Vision, 487-505, 2022 | 50 | 2022 |
| Learning to group: A bottom-up framework for 3d part discovery in unseen categories T Luo, K Mo, Z Huang, J Xu, S Hu, L Wang, H Su arXiv preprint arXiv:2002.06478, 2020 | 44 | 2020 |
| Pixel-Aligned Language Model J Xu, X Zhou, S Yan, X Gu, A Arnab, C Sun, X Wang, C Schmid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2024 | 16 | 2024 |
| GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation C Yang, J Xu, S De Mello, EJ Crowley, X Wang International Conference on Learning Representations (ICLR), 2023 | 16 | 2023 |
| Learning to (learn at test time): Rnns with expressive hidden states Y Sun, X Li, K Dalal, J Xu, A Vikram, G Zhang, Y Dubois, X Chen, X Wang, ... arXiv preprint arXiv:2407.04620, 2024 | 14 | 2024 |
| Diffusion-based open-vocabulary segmentation J Xu, S De Mello, S Liu, A Vahdat, W Byeon US Patent App. 18/310,414, 2024 | 1 | 2024 |
| IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks J Xu, Y Gandelsman, A Bar, J Yang, J Gao, T Darrell, X Wang arXiv preprint arXiv:2312.01771, 2023 | 1 | 2023 |
| Performing semantic segmentation training with image/text pairs J Xu, S De Mello, S Liu, W Byeon, T Breuel, J Kautz US Patent App. 17/853,631, 2023 | 1 | 2023 |
Xiaolong WangAssistant Professor, UC San DiegoPatvirtintas el. paštas ucsd.edu
