| Recent Advances in Convolutional Neural Networks J Gu, Z Wang, J Kuen, L Ma, A Shahroudy, B Shuai, T Liu, X Wang, ... Pattern Recognition 77, 354-377, 2018 | 3867 | 2018 |
| Dual attention matching network for context-aware feature sequence based person re-identification J Si, H Zhang, CG Li, J Kuen, X Kong, AC Kot, G Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 464 | 2018 |
| Recurrent Attentional Networks for Saliency Detection J Kuen, Z Wang, G Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 267 | 2016 |
| Motion-guided cascaded refinement network for video object segmentation P Hu, G Wang, X Kong, J Kuen, YP Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 95 | 2018 |
| Multimodal Contrastive Training for Visual Representation Learning X Yuan, Z Lin, J Kuen, J Zhang, Y Wang, M Maire, A Kale, B Faieta Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 80 | 2021 |
| Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle J Kuen, KM Lim, CP Lee Pattern Recognition 48 (10), 2964-2982, 2015 | 55 | 2015 |
| SelfDoc: Self-Supervised Document Representation Learning P Li, J Gu, J Kuen, VI Morariu, H Zhao, R Jain, V Manjunatha, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 51 | 2021 |
| Multi-Scale Aligned Distillation for Low-Resolution Detection L Qi, J Kuen, J Gu, Z Lin, Y Wang, Y Chen, Y Li, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 29 | 2021 |
| Open World Entity Segmentation L Qi, J Kuen, Y Wang, J Gu, H Zhao, P Torr, Z Lin, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 23 | 2022 |
| DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows J Kuen, X Kong, G Wang, YP Tan Computer Vision Workshop (ICCVW), 2017 IEEE International Conference on, 958-966, 2017 | 23* | 2017 |
| Unidoc: Unified pretraining framework for document understanding J Gu, J Kuen, VI Morariu, H Zhao, R Jain, N Barmpalios, A Nenkova, ... Advances in Neural Information Processing Systems 34, 39-50, 2021 | 19* | 2021 |
| Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks J Kuen, X Kong, Z Lin, G Wang, J Yin, S See, YP Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 18* | 2018 |
| Utilizing a deep neural network-based model to identify visually similar digital images based on user-selected visual attributes Z Lin, S Xiaohui, M Ling, J Zhang, J Kuen, B Butterfield US Patent 10,628,708, 2020 | 17 | 2020 |
| Self-supervised relationship probing J Gu, J Kuen, S Joty, J Cai, V Morariu, H Zhao, T Sun Advances in Neural Information Processing Systems 33, 1841-1853, 2020 | 17* | 2020 |
| Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling D Huynh, J Kuen, Z Lin, J Gu, E Elhamifar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
| Scaling object detection by transferring classification weights J Kuen, F Perazzi, Z Lin, J Zhang, YP Tan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 14 | 2019 |
| Object Detection In Images Z Lin, S Xiaohui, M Ling, J Zhang, JWY Kuen US Patent App. 16/189,805, 2020 | 11 | 2020 |
| CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation L Qi, J Kuen, Z Lin, J Gu, F Rao, D Li, W Guo, Z Wen, MH Yang, J Jia European Conference on Computer Vision, 59-77, 2022 | 4* | 2022 |
| Meta spatio-temporal debiasing for video scene graph generation L Xu, H Qu, J Kuen, J Gu, J Liu Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
| High quality segmentation for ultra high-resolution images T Shen, Y Zhang, L Qi, J Kuen, X Xie, J Wu, Z Lin, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
Jiuxiang GuResearch Scientist, Adobe ResearchПотвърден имейл адрес: adobe.com
