Jason Kuen

According to our database, Jason Kuen authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ImageFolder: Autoregressive Image Generation with Folded Tokens.

Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin

CoRR, 2024

ControlVAR: Exploring Controllable Visual Autoregressive Modeling.

Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Zhe Lin, Rita Singh, Bhiksha Raj

CoRR, 2024

ADOPD: A Large-Scale Document Page Decomposition Dataset.

Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.

Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis.

Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian L. Price, Dan Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

MAGICK: A Large-Scale Captioned Dataset from Matting Generated Images Using Chroma Keying.

Ryan D. Burgert, Brian L. Price, Jason Kuen, Yijun Li, Michael S. Ryoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Open World Entity Segmentation.

Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip H. S. Torr, Zhe Lin, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

AIMS: All-Inclusive Multi-Level Segmentation.

Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang

CoRR, 2023

PRN: Panoptic Refinement Network.

Bo Sun, Jason Kuen, Zhe Lin, Philippos Mordohai, Simon Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

AIMS: All-Inclusive Multi-Level Segmentation for Anything.

Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

High Quality Entity Segmentation.

Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Critical Analysis of Document Out-of-Distribution Detection.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TopNet: Transformer-Based Object Placement Network for Image Compositing.

Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SceneComposer: Any-Level Semantic Image Synthesis.

Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Fine-Grained Entity Segmentation.

Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang

CoRR, 2022

Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork.

Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, John P. Collomosse

CoRR, 2022

Unified Pretraining Framework for Document Understanding.

Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun

CoRR, 2022

GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing.

Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation.

Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving the Reliability for Confidence Estimation.

Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation.

Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2022, 2022

High Quality Segmentation for Ultra High-resolution Images.

Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling.

Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.

Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation.

Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Jiaya Jia

CoRR, 2021

UniDoc: Unified Pretraining Framework for Document Understanding.

Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal Contrastive Training for Visual Representation Learning.

Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-Scale Aligned Distillation for Low-Resolution Detection.

Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SelfDoc: Self-Supervised Document Representation Learning.

Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Motion-Guided Cascaded Refinement Network for Video Object Segmentation.

Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Self-Supervised Relationship Probing.

Jiuxiang Gu, Jason Kuen, Shafiq R. Joty, Jianfei Cai, Vlad I. Morariu, Handong Zhao, Tong Sun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Scaling Object Detection by Transferring Classification Weights.

Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Recent advances in convolutional neural networks.

Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen

Pattern Recognit., 2018

Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification.

Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks.

Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows.

Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows.

Jason Kuen, Xiangfei Kong, Gang Wang

CoRR, 2016

Recurrent Attentional Networks for Saliency Detection.

Jason Kuen, Zhenhua Wang, Gang Wang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle.

Jason Kuen, Kian-Ming Lim, Chin-Poo Lee

Pattern Recognit., 2015

Recent Advances in Convolutional Neural Networks.

Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang

CoRR, 2015