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2020 – today
- 2024
[c26]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR 2024- [c25]Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun:
ADOPD: A Large-Scale Document Page Decomposition Dataset. ICLR 2024 - [i26]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR abs/2404.12386 (2024) - [i25]Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Zhe Lin, Rita Singh, Bhiksha Raj:
ControlVAR: Exploring Controllable Visual Autoregressive Modeling. CoRR abs/2406.09750 (2024) - 2023
- [j4]Lu Qi
, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip H. S. Torr, Zhe Lin, Jiaya Jia:
Open World Entity Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8743-8756 (2023) - [c24]Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
TopNet: Transformer-Based Object Placement Network for Image Compositing. CVPR 2023: 1838-1847 - [c23]Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel:
SceneComposer: Any-Level Semantic Image Synthesis. CVPR 2023: 22468-22478 - [c22]Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova:
A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) 2023: 4973-4999 - [c21]Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
High Quality Entity Segmentation. ICCV 2023: 4024-4033 - [c20]Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang:
AIMS: All-Inclusive Multi-Level Segmentation for Anything. NeurIPS 2023 - [c19]Bo Sun, Jason Kuen, Zhe Lin, Philippos Mordohai, Simon Chen:
PRN: Panoptic Refinement Network. WACV 2023: 3952-3962 - [i24]Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
TopNet: Transformer-based Object Placement Network for Image Compositing. CoRR abs/2304.03372 (2023) - [i23]Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang:
AIMS: All-Inclusive Multi-Level Segmentation. CoRR abs/2305.17768 (2023) - [i22]Hanrong Ye, Jason Kuen, Qing Liu, Zhe L. Lin, Brian L. Price, Dan Xu:
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis. CoRR abs/2311.03355 (2023) - 2022
- [c18]Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang:
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) 2022: 916-925 - [c17]Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. CVPR 2022: 1300-1309 - [c16]Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CVPR 2022: 7010-7021 - [c15]Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia:
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation. ECCV (31) 2022: 59-77 - [c14]Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu:
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. ECCV (27) 2022: 374-390 - [c13]Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu:
Improving the Reliability for Confidence Estimation. ECCV (27) 2022: 391-408 - [c12]Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. ECCV (27) 2022: 676-692 - [i21]Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. CoRR abs/2204.00125 (2022) - [i20]Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun:
Unified Pretraining Framework for Document Understanding. CoRR abs/2204.10939 (2022) - [i19]Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu:
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. CoRR abs/2207.11441 (2022) - [i18]Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, John P. Collomosse:
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork. CoRR abs/2208.08493 (2022) - [i17]Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu:
Improving the Reliability for Confidence Estimation. CoRR abs/2210.06776 (2022) - [i16]Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
Fine-Grained Entity Segmentation. CoRR abs/2211.05776 (2022) - [i15]Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel:
SceneComposer: Any-Level Semantic Image Synthesis. CoRR abs/2211.11742 (2022) - 2021
- [c11]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CVPR 2021: 5652-5660 - [c10]Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta:
Multimodal Contrastive Training for Visual Representation Learning. CVPR 2021: 6995-7004 - [c9]Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia:
Multi-Scale Aligned Distillation for Low-Resolution Detection. CVPR 2021: 14443-14453 - [c8]Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun:
UniDoc: Unified Pretraining Framework for Document Understanding. NeurIPS 2021: 39-50 - [i14]Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta:
Multimodal Contrastive Training for Visual Representation Learning. CoRR abs/2104.12836 (2021) - [i13]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CoRR abs/2106.03331 (2021) - [i12]Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip H. S. Torr, Jiaya Jia:
Open-World Entity Segmentation. CoRR abs/2107.14228 (2021) - [i11]Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia:
Multi-Scale Aligned Distillation for Low-Resolution Detection. CoRR abs/2109.06875 (2021) - [i10]Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CoRR abs/2111.12698 (2021) - [i9]Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. CoRR abs/2111.14482 (2021) - [i8]Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Jiaya Jia:
CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation. CoRR abs/2112.04966 (2021) - 2020
- [j3]Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan:
Motion-Guided Cascaded Refinement Network for Video Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 1957-1967 (2020) - [c7]Jiuxiang Gu, Jason Kuen, Shafiq R. Joty, Jianfei Cai, Vlad I. Morariu, Handong Zhao, Tong Sun:
Self-Supervised Relationship Probing. NeurIPS 2020
2010 – 2019
- 2019
- [c6]Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. ICCV 2019: 6043-6052 - [i7]Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. CoRR abs/1909.06804 (2019) - 2018
- [j2]Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen:
Recent advances in convolutional neural networks. Pattern Recognit. 77: 354-377 (2018) - [c5]Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan:
Motion-Guided Cascaded Refinement Network for Video Object Segmentation. CVPR 2018: 1400-1409 - [c4]Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang:
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification. CVPR 2018: 5363-5372 - [c3]Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan:
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks. CVPR 2018: 7929-7938 - [i6]Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan:
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks. CoRR abs/1801.09335 (2018) - [i5]Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang:
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification. CoRR abs/1803.09937 (2018) - 2017
- [c2]Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan:
DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows. ICCV Workshops 2017: 958-966 - 2016
- [c1]Jason Kuen, Zhenhua Wang, Gang Wang:
Recurrent Attentional Networks for Saliency Detection. CVPR 2016: 3668-3677 - [i4]Jason Kuen, Zhenhua Wang, Gang Wang:
Recurrent Attentional Networks for Saliency Detection. CoRR abs/1604.03227 (2016) - [i3]Jason Kuen, Kian-Ming Lim, Chin-Poo Lee:
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle. CoRR abs/1604.04144 (2016) - [i2]Jason Kuen, Xiangfei Kong, Gang Wang:
DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows. CoRR abs/1611.05552 (2016) - 2015
- [j1]Jason Kuen, Kian-Ming Lim, Chin-Poo Lee:
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle. Pattern Recognit. 48(10): 2964-2982 (2015) - [i1]Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang:
Recent Advances in Convolutional Neural Networks. CoRR abs/1512.07108 (2015)
Coauthor Index
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last updated on 2024-08-16 19:26 CEST by the dblp team
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