Recent Advances in Convolutional Neural Networks. - Jiuxiang Gu; Zhenhua Wang 002; Jason Kuen; Lianyang Ma; Amir Shahroudy; Bing Shuai; Ting Liu 009; Xingxing Wang; Gang Wang 012 (CoRR, 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)

Recurrent Attentional Networks for Saliency Detection. - Jason Kuen; Zhenhua Wang 002; Gang Wang 012 (CVPR, 2016)

DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows. - Jason Kuen; Xiangfei Kong; Gang Wang 012 (CoRR, 2016)

DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows. - Jason Kuen; Xiangfei Kong; Gang Wang 012; Yap-Peng Tan (ICCV Workshops, 2017)

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks. - Jason Kuen; Xiangfei Kong; Zhe Lin 001; Gang Wang 012; Jianxiong Yin; Simon See; Yap-Peng Tan (CVPR, 2018)

Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification. - Jianlou Si; Honggang Zhang 002; Chun-Guang Li; Jason Kuen; Xiangfei Kong; Alex C. Kot; Gang Wang 012 (CVPR, 2018)

Recent advances in convolutional neural networks. - Jiuxiang Gu; Zhenhua Wang 002; Jason Kuen; Lianyang Ma; Amir Shahroudy; Bing Shuai; Ting Liu 009; Xingxing Wang; Gang Wang 012; Jianfei Cai 001; Tsuhan Chen (Pattern Recognit., 2018)

Scaling Object Detection by Transferring Classification Weights. - Jason Kuen; Federico Perazzi; Zhe Lin 001; Jianming Zhang 001; Yap-Peng Tan (ICCV, 2019)

Self-Supervised Relationship Probing. - Jiuxiang Gu; Jason Kuen; Shafiq R. Joty; Jianfei Cai 001; Vlad I. Morariu; Handong Zhao; Tong Sun 005 (NeurIPS, 2020)

Motion-Guided Cascaded Refinement Network for Video Object Segmentation. - Ping Hu 001; Gang Wang 012; Xiangfei Kong; Jason Kuen; Yap-Peng Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

SelfDoc: Self-Supervised Document Representation Learning. - Peizhao Li; Jiuxiang Gu; Jason Kuen; Vlad I. Morariu; Handong Zhao; Rajiv Jain; Varun Manjunatha; Hongfu Liu 001 (CVPR, 2021)

Multi-Scale Aligned Distillation for Low-Resolution Detection. - Lu Qi; Jason Kuen; Jiuxiang Gu; Zhe Lin 001; Yi Wang 074; Yukang Chen; Yanwei Li; Jiaya Jia (CVPR, 2021)

Multimodal Contrastive Training for Visual Representation Learning. - Xin Yuan; Zhe Lin 001; Jason Kuen; Jianming Zhang 001; Yilin Wang 002; Michael Maire; Ajinkya Kale; Baldo Faieta (CVPR, 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 005 (NeurIPS, 2021)

CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation. - Lu Qi; Jason Kuen; Zhe Lin 001; Jiuxiang Gu; Fengyun Rao; Dian Li; Weidong Guo; Zhen Wen; Jiaya Jia (CoRR, 2021)

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. - Zihan Wang 001; Jiuxiang Gu; Jason Kuen; Handong Zhao; Vlad I. Morariu; Ruiyi Zhang 002; Ani Nenkova; Tong Sun 005; Jingbo Shang (ACL (Findings), 2022)

Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. - Dat Huynh; Jason Kuen; Zhe Lin 001; Jiuxiang Gu; Ehsan Elhamifar (CVPR, 2022)

High Quality Segmentation for Ultra High-resolution Images. - Tiancheng Shen; Yuechen Zhang; Lu Qi; Jason Kuen; Xingyu Xie; Jianlong Wu; Zhe Lin 001; Jiaya Jia (CVPR, 2022)

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation. - Lu Qi; Jason Kuen; Zhe Lin 001; Jiuxiang Gu; Fengyun Rao; Dian Li; Weidong Guo; Zhen Wen; Ming-Hsuan Yang 001; Jiaya Jia (ECCV (31), 2022)

Improving the Reliability for Confidence Estimation. - Haoxuan Qu; Yanchao Li; Lin Geng Foo; Jason Kuen; Jiuxiang Gu; Jun Liu 036 (ECCV (27), 2022)

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. - Li Xu; Haoxuan Qu; Jason Kuen; Jiuxiang Gu; Jun Liu 036 (ECCV (27), 2022)

GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. - Sijie Zhu; Zhe Lin 001; Scott Cohen; Jason Kuen; Zhifei Zhang; Chen Chen 001 (ECCV (27), 2022)

Unified Pretraining Framework for Document Understanding. - Jiuxiang Gu; Jason Kuen; Vlad I. Morariu; Handong Zhao; Nikolaos Barmpalios; Rajiv Jain; Ani Nenkova; Tong Sun 005 (CoRR, 2022)

Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork. - Xin Yuan; Zhe Lin 001; Jason Kuen; Jianming Zhang 001; John P. Collomosse (CoRR, 2022)

Fine-Grained Entity Segmentation. - Lu Qi; Jason Kuen; Weidong Guo; Tiancheng Shen; Jiuxiang Gu; Wenbo Li 001; Jiaya Jia; Zhe Lin 001; Ming-Hsuan Yang 001 (CoRR, 2022)

SceneComposer: Any-Level Semantic Image Synthesis. - Yu Zeng 001; Zhe Lin 001; Jianming Zhang 001; Qing Liu 017; John P. Collomosse; Jason Kuen; Vishal M. Patel (CVPR, 2023)

TopNet: Transformer-Based Object Placement Network for Image Compositing. - Sijie Zhu; Zhe Lin 001; Scott Cohen; Jason Kuen; Zhifei Zhang; Chen Chen 001 (CVPR, 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 002; Nikolaos Barmpalios; Anqi Liu; Yixuan Li 001; Tong Sun 005; Ani Nenkova (EMNLP (Findings), 2023)

High Quality Entity Segmentation. - Lu Qi; Jason Kuen; Tiancheng Shen; Jiuxiang Gu; Wenbo Li 001; Weidong Guo; Jiaya Jia; Zhe Lin 001; Ming-Hsuan Yang 001 (ICCV, 2023)

AIMS: All-Inclusive Multi-Level Segmentation for Anything. - Lu Qi; Jason Kuen; Weidong Guo; Jiuxiang Gu; Zhe Lin 001; Bo Du; Yu Xu; Ming-Hsuan Yang 001 (NeurIPS, 2023)

PRN: Panoptic Refinement Network. - Bo Sun; Jason Kuen; Zhe Lin 001; Philippos Mordohai; Simon Chen (WACV, 2023)

AIMS: All-Inclusive Multi-Level Segmentation. - Lu Qi; Jason Kuen; Weidong Guo; Jiuxiang Gu; Zhe Lin 001; Bo Du; Yu Xu; Ming-Hsuan Yang 001 (CoRR, 2023)

Open World Entity Segmentation. - Lu Qi; Jason Kuen; Yi Wang 074; Jiuxiang Gu; Hengshuang Zhao; Philip H. S. Torr; Zhe Lin 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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 (CVPR, 2024)

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis. - Hanrong Ye; Jason Kuen; Qing Liu 017; Zhe Lin 001; Brian L. Price; Dan Xu 002 (ECCV (8), 2024)

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. - Shengcao Cao; Jiuxiang Gu; Jason Kuen; Hao Tan 002; Ruiyi Zhang 002; Handong Zhao; Ani Nenkova; Liangyan Gui; Tong Sun 005; Yu-Xiong Wang (ICLR, 2024)

ADOPD: A Large-Scale Document Page Decomposition Dataset. - Jiuxiang Gu; Xiangxi Shi; Jason Kuen; Lu Qi; Ruiyi Zhang 002; Anqi Liu; Ani Nenkova; Tong Sun 005 (ICLR, 2024)

Uncertainty-aware Fine-tuning of Segmentation Foundation Models. - Kangning Liu; Brian L. Price; Jason Kuen; Yifei Fan; Zijun Wei; Luis Figueroa; Krzysztof J. Geras; Carlos Fernandez-Granda (NeurIPS, 2024)

ControlVAR: Exploring Controllable Visual Autoregressive Modeling. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Zhe Lin; Rita Singh; Bhiksha Raj (CoRR, 2024)

XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Jiuxiang Gu; Jindong Wang 001; Zhe Lin; Bhiksha Raj (CoRR, 2024)

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Yanyu Li; Yifan Gong 004; Kai Zhang 045; Hao Tan 002; Jason Kuen; Henghui Ding; Zhihao Shu; Wei Niu 002; et al. (AAAI, 2025)

conSAMme: Achieving Consistent Segmentations with SAM. - Josh Myers-Dean; Kangning Liu; Brian L. Price; Yifei Fan; Jason Kuen; Danna Gurari (CVPR Workshops, 2025)

ImageFolder: Autoregressive Image Generation with Folded Tokens. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Jiuxiang Gu; Bhiksha Raj; Zhe Lin (ICLR, 2025)

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis. - Kai Qiu; Xiang Li 106; Jason Kuen; Hao Chen 102; Xiaohao Xu; Jiuxiang Gu; Yinyi Luo; Bhiksha Raj; Zhe Lin; Marios Savvides (CoRR, 2025)

LaViDa: A Large Diffusion Language Model for Multimodal Understanding. - Shufan Li; Konstantinos Kallidromitis; Hritik Bansal; Akash Gokul; Yusuke Kato; Kazuki Kozuka; Jason Kuen; Zhe Lin; Kai-Wei Chang; Aditya Grover (CoRR, 2025)

Refer to Anything with Vision-Language Prompts. - Shengcao Cao; Zijun Wei; Jason Kuen; Kangning Liu; Lingzhi Zhang; Jiuxiang Gu; Hyunjoon Jung; Liang-Yan Gui; Yu-Xiong Wang (CoRR, 2025)