Jason Kuen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 54

Top Topics

Convolutional Network

Object Segmentation

Image Compositing

Top Venues

Publications

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)
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 (2024)
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)
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Zhe Lin, Rita Singh, Bhiksha Raj
ControlVAR: Exploring Controllable Visual Autoregressive Modeling. CoRR (2024)
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)
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) (2023)
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)
Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang
AIMS: All-Inclusive Multi-Level Segmentation. CoRR (2023)
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
TopNet: Transformer-Based Object Placement Network for Image Compositing. CVPR (2023)
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
TopNet: Transformer-based Object Placement Network for Image Compositing. CoRR (2023)
Bo Sun, Jason Kuen, Zhe Lin, Philippos Mordohai, Simon Chen
PRN: Panoptic Refinement Network. WACV (2023)
Hanrong Ye, Jason Kuen, Qing Liu, Zhe L. Lin, Brian Price, Dan Xu
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis. CoRR (2023)
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel
SceneComposer: Any-Level Semantic Image Synthesis. CVPR (2023)
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)
Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang
Fine-Grained Entity Segmentation. CoRR (2022)
Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu
Improving the Reliability for Confidence Estimation. ECCV (27) (2022)
Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. CoRR (2022)
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, John P. Collomosse
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork. CoRR (2022)
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CVPR (2022)
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel
SceneComposer: Any-Level Semantic Image Synthesis. CoRR (2022)
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. CoRR (2022)
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)
Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun
Unified Pretraining Framework for Document Understanding. CoRR (2022)
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)
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)
Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. ECCV (27) (2022)
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)
Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu
Improving the Reliability for Confidence Estimation. CoRR (2022)
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 (2021)
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)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CoRR (2021)
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip H. S. Torr, Jiaya Jia
Open-World Entity Segmentation. CoRR (2021)
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 (2021)
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)
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CoRR (2021)
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)
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 (2021)
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)
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta
Multimodal Contrastive Training for Visual Representation Learning. CoRR (2021)
Jiuxiang Gu, Jason Kuen, Shafiq R. Joty, Jianfei Cai, Vlad I. Morariu, Handong Zhao, Tong Sun
Self-Supervised Relationship Probing. NeurIPS (2020)
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) (2020)
Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan
Scaling Object Detection by Transferring Classification Weights. CoRR (2019)
Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan
Scaling Object Detection by Transferring Classification Weights. ICCV (2019)
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)
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 (2018)
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 (2018)
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)
Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan
Motion-Guided Cascaded Refinement Network for Video Object Segmentation. CVPR (2018)
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 (2018)
Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan
DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows. ICCV Workshops (2017)
Jason Kuen, Xiangfei Kong, Gang Wang
DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows. CoRR (2016)
Jason Kuen, Zhenhua Wang, Gang Wang
Recurrent Attentional Networks for Saliency Detection. CVPR (2016)
Jason Kuen, Zhenhua Wang, Gang Wang
Recurrent Attentional Networks for Saliency Detection. CoRR (2016)
Jason Kuen, Kian-Ming Lim, Chin-Poo Lee
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle. CoRR (2016)
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 (2015)
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) (2015)