Jason Kuen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
9
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. | 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 | SIGGRAPH | MAOAM: Unified Object and Material Selection with Vision-Language Models. | Jaden Park, Valentin Deschaintre, Jason Kuen, Kangning Liu, Iliyan Georgiev, Krishna Kumar Singh, Yong Jae Lee, Michael Fischer |
| 2025 | AAAI | LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. | 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 | CVPR | conSAMme: Achieving Consistent Segmentations with SAM. | Josh Myers-Dean, Kangning Liu, Brian L. Price, Yifei Fan, Jason Kuen, Danna Gurari |
| 2025 | ICCV | Refer to Any Segmentation Mask Group with Vision-Language Prompts. | Shengcao Cao, Zijun Wei, Jason Kuen, Kangning Liu, Lingzhi Zhang, Jiuxiang Gu, Hyunjoon Jung, Liang-Yan Gui, Yu-Xiong Wang |
| 2025 | ICCV | DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models. | Zhuoling Li, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Qiuhong Ke, Jun Liu, Hossein Rahmani |
| 2025 | ICLR | ImageFolder: Autoregressive Image Generation with Folded Tokens. | Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin |
| 2024 | CVPR | 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 |
| 2024 | ECCV | SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis. | Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian L. Price, Dan Xu |
| 2024 | ICLR | 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 |
| 2024 | ICLR | ADOPD: A Large-Scale Document Page Decomposition Dataset. | Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun |
| 2023 | CVPR | SceneComposer: Any-Level Semantic Image Synthesis. | Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel |
| 2023 | CVPR | TopNet: Transformer-Based Object Placement Network for Image Compositing. | Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen |
| 2023 | EMNLP | 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 |
| 2023 | ICCV | High Quality Entity Segmentation. | Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang |
| 2023 | WACV | PRN: Panoptic Refinement Network. | Bo Sun, Jason Kuen, Zhe Lin, Philippos Mordohai, Simon Chen |
| 2022 | ACL | 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 |
| 2022 | CVPR | Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. | Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar |
| 2022 | CVPR | High Quality Segmentation for Ultra High-resolution Images. | Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Improving the Reliability for Confidence Estimation. | Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu |
| 2022 | ECCV | Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. | Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu |
| 2022 | ECCV | GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. | Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen |
| 2021 | CVPR | SelfDoc: Self-Supervised Document Representation Learning. | Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu |
| 2021 | CVPR | Multi-Scale Aligned Distillation for Low-Resolution Detection. | Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia |
| 2021 | CVPR | Multimodal Contrastive Training for Visual Representation Learning. | Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta |
| 2019 | ICCV | Scaling Object Detection by Transferring Classification Weights. | Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan |
| 2018 | CVPR | Motion-Guided Cascaded Refinement Network for Video Object Segmentation. | Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan |
| 2018 | CVPR | 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 |
| 2018 | CVPR | 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 |
| 2016 | CVPR | Recurrent Attentional Networks for Saliency Detection. | Jason Kuen, Zhenhua Wang, Gang Wang |