Jason Kuen

81 papers A* 23A 1Journal 48Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration.
CoRR
Zhuoling Li, Jiarui Zhang, Ping Hu, Jason Kuen, Jiuxiang Gu, Hossein Rahmani, Jun Liu
2026 J jnl
DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation.
CoRR
Zhuoling Li, Hossein Rahmani, Jiarui Zhang, Yu Xue, Majid Mirmehdi, Jason Kuen, Jiuxiang Gu, Jun Liu
2026 J jnl
LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models.
CoRR
Shufan Li, Yuchen Zhu, Jiuxiang Gu, Kangning Liu, Zhe Lin, Yongxin Chen, Molei Tao, Aditya Grover, Jason Kuen
2026 A* conf
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive.
AAAI
Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2026 J jnl
SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation.
CoRR
Shufan Li, Jiuxiang Gu, Kangning Liu, Zhe Lin, Aditya Grover, Jason Kuen
2026 J jnl
ViT-AdaLA: Adapting Vision Transformers with Linear Attention.
CoRR
Yifan Li, Seunghyun Yoon, Viet Dac Lai, Franck Dernoncourt, Jason Kuen, Yu Kong, Trung Bui
2025 J jnl
CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning.
CoRR
Qihua Dong, Luis Figueroa, Handong Zhao, Kushal Kafle, Jason Kuen, Zhihong Ding, Scott Cohen, Yun Fu
2025 J jnl
HBridge: H-Shape Bridging of Heterogeneous Experts for Unified Multimodal Understanding and Generation.
CoRR
Xiang Wang, Zhifei Zhang, He Zhang, Zhe Lin, Yuqian Zhou, Qing Liu, Shiwei Zhang, Yijun Li, Shaoteng Liu, Haitian Zheng, Jason Kuen, Yuehuan Wang, Changxin Gao, Nong Sang
2025 J jnl
Image Tokenizer Needs Post-Training.
CoRR
Kai Qiu, Xiang Li, Hao Chen, Jason Kuen, Xiaohao Xu, Jiuxiang Gu, Yinyi Luo, Bhiksha Raj, Zhe Lin, Marios Savvides
2025 A* conf
ImageFolder: Autoregressive Image Generation with Folded Tokens.
ICLR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin
2025 J jnl
LaViDa: A Large Diffusion Language Model for Multimodal Understanding.
CoRR
Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover
2025 J jnl
Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation.
CoRR
Shufan Li, Jiuxiang Gu, Kangning Liu, Zhe Lin, Zijun Wei, Aditya Grover, Jason Kuen
2025 A* conf
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.
AAAI
Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
2025 J jnl
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive.
CoRR
Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2025 J jnl
Refer to Anything with Vision-Language Prompts.
CoRR
Shengcao Cao, Zijun Wei, Jason Kuen, Kangning Liu, Lingzhi Zhang, Jiuxiang Gu, Hyunjoon Jung, Liang-Yan Gui, Yu-Xiong Wang
2025 J jnl
Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis.
CoRR
Kai Qiu, Xiang Li, Jason Kuen, Hao Chen, Xiaohao Xu, Jiuxiang Gu, Yinyi Luo, Bhiksha Raj, Zhe Lin, Marios Savvides
2025 J jnl
Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models.
CoRR
Shufan Li, Jiuxiang Gu, Kangning Liu, Zhe Lin, Zijun Wei, Aditya Grover, Jason Kuen
2025 J jnl
VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction.
CoRR
Weitai Kang, Jason Kuen, Mengwei Ren, Zijun Wei, Yan Yan, Kangning Liu
2025 — conf
conSAMme: Achieving Consistent Segmentations with SAM.
CVPR Workshops
Josh Myers-Dean, Kangning Liu, Brian L. Price, Yifei Fan, Jason Kuen, Danna Gurari
2024 A* conf
ADOPD: A Large-Scale Document Page Decomposition Dataset.
ICLR
Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun
2024 J jnl
ControlVAR: Exploring Controllable Visual Autoregressive Modeling.
CoRR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Zhe Lin, Rita Singh, Bhiksha Raj
2024 J jnl
ImageFolder: Autoregressive Image Generation with Folded Tokens.
CoRR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin
2024 J jnl
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.
CoRR
Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
2024 A* conf
MAGICK: A Large-Scale Captioned Dataset from Matting Generated Images Using Chroma Keying.
CVPR
Ryan D. Burgert, Brian L. Price, Jason Kuen, Yijun Li, Michael S. Ryoo
2024 A* conf
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.
ICLR
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
2024 J jnl
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.
CoRR
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang
2024 — conf
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis.
ECCV (8)
Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian L. Price, Dan Xu
2024 A* conf
Uncertainty-aware Fine-tuning of Segmentation Foundation Models.
NeurIPS
Kangning Liu, Brian L. Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda
2024 J jnl
XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation.
CoRR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Jindong Wang, Zhe Lin, Bhiksha Raj
2023 — conf
A Critical Analysis of Document Out-of-Distribution Detection.
EMNLP (Findings)
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
2023 A* conf
AIMS: All-Inclusive Multi-Level Segmentation for Anything.
NeurIPS
Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang
2023 J jnl
AIMS: All-Inclusive Multi-Level Segmentation.
CoRR
Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang
2023 A* conf
High Quality Entity Segmentation.
ICCV
Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang
2023 J jnl
Open World Entity Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip H. S. Torr, Zhe Lin, Jiaya Jia
2023 A conf
PRN: Panoptic Refinement Network.
WACV
Bo Sun, Jason Kuen, Zhe Lin, Philippos Mordohai, Simon Chen
2023 A* conf
SceneComposer: Any-Level Semantic Image Synthesis.
CVPR
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel
2023 J jnl
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis.
CoRR
Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian L. Price, Dan Xu
2023 A* conf
TopNet: Transformer-Based Object Placement Network for Image Compositing.
CVPR
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
2023 J jnl
TopNet: Transformer-based Object Placement Network for Image Compositing.
CoRR
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
2022 — conf
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation.
ECCV (31)
Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia
2022 J jnl
Fine-Grained Entity Segmentation.
CoRR
Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang
2022 — conf
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing.
ECCV (27)
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
2022 J jnl
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing.
CoRR
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
2022 A* conf
High Quality Segmentation for Ultra High-resolution Images.
CVPR
Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia
2022 — conf
Improving the Reliability for Confidence Estimation.
ECCV (27)
Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu
2022 J jnl
Improving the Reliability for Confidence Estimation.
CoRR
Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu
2022 — conf
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.
ACL (Findings)
Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang
2022 — conf
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation.
ECCV (27)
Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu
2022 J jnl
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation.
CoRR
Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu
2022 A* conf
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling.
CVPR
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar
2022 J jnl
SceneComposer: Any-Level Semantic Image Synthesis.
CoRR
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel
2022 J jnl
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork.
CoRR
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, John P. Collomosse
2022 J jnl
Unified Pretraining Framework for Document Understanding.
CoRR
Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun
2021 J jnl
CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation.
CoRR
Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Jiaya Jia
2021 J jnl
High Quality Segmentation for Ultra High-resolution Images.
CoRR
Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia
2021 A* conf
Multi-Scale Aligned Distillation for Low-Resolution Detection.
CVPR
Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
2021 J jnl
Multi-Scale Aligned Distillation for Low-Resolution Detection.
CoRR
Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
2021 A* conf
Multimodal Contrastive Training for Visual Representation Learning.
CVPR
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta
2021 J jnl
Multimodal Contrastive Training for Visual Representation Learning.
CoRR
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta
2021 J jnl
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling.
CoRR
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar
2021 J jnl
Open-World Entity Segmentation.
CoRR
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip H. S. Torr, Jiaya Jia
2021 A* conf
SelfDoc: Self-Supervised Document Representation Learning.
CVPR
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
2021 J jnl
SelfDoc: Self-Supervised Document Representation Learning.
CoRR
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
2021 A* conf
UniDoc: Unified Pretraining Framework for Document Understanding.
NeurIPS
Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun
2020 J jnl
Motion-Guided Cascaded Refinement Network for Video Object Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan
2020 A* conf
Self-Supervised Relationship Probing.
NeurIPS
Jiuxiang Gu, Jason Kuen, Shafiq R. Joty, Jianfei Cai, Vlad I. Morariu, Handong Zhao, Tong Sun
2019 A* conf
Scaling Object Detection by Transferring Classification Weights.
ICCV
Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan
2019 J jnl
Scaling Object Detection by Transferring Classification Weights.
CoRR
Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan
2018 A* conf
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification.
CVPR
Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang
2018 J jnl
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification.
CoRR
Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang
2018 A* conf
Motion-Guided Cascaded Refinement Network for Video Object Segmentation.
CVPR
Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan
2018 J jnl
Recent advances in convolutional neural networks.
Pattern Recognit.
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen
2018 A* conf
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks.
CVPR
Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan
2018 J jnl
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks.
CoRR
Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan
2017 — conf
DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows.
ICCV Workshops
Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan
2016 J jnl
DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows.
CoRR
Jason Kuen, Xiangfei Kong, Gang Wang
2016 A* conf
Recurrent Attentional Networks for Saliency Detection.
CVPR
Jason Kuen, Zhenhua Wang, Gang Wang
2016 J jnl
Recurrent Attentional Networks for Saliency Detection.
CoRR
Jason Kuen, Zhenhua Wang, Gang Wang
2016 J jnl
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle.
CoRR
Jason Kuen, Kian-Ming Lim, Chin-Poo Lee
2015 J jnl
Recent Advances in Convolutional Neural Networks.
CoRR
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang
2015 J jnl
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle.
Pattern Recognit.
Jason Kuen, Kian-Ming Lim, Chin-Poo Lee