He, Ju

20 publications

TMLR 2026 ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling Qihao Liu, Ju He, Qihang Yu, Liang-Chieh Chen, Alan Yuille

ICCV 2025 Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen

ICCV 2025 Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens Dongwon Kim, Ju He, Qihang Yu, Chenglin Yang, Xiaohui Shen, Suha Kwak, Liang-Chieh Chen

ICML 2025 FlowAR: Scale-Wise Autoregressive Image Generation Meets Flow Matching Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen

ICCV 2025 FlowTok: Flowing Seamlessly Across Text and Image Tokens Ju He, Qihang Yu, Qihao Liu, Liang-Chieh Chen

ICCV 2025 Randomized Autoregressive Visual Generation Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen

TMLR 2024 A Simple Video Segmenter by Tracking Objects Along Axial Trajectories Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan Yuille, Xiaohui Shen, Liang-Chieh Chen

NeurIPS 2024 Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen

NeurIPS 2024 Efficient Large Multi-Modal Models via Visual Context Compression Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan Yuille

WACV 2023 CORL: Compositional Representation Learning for Few-Shot Classification Ju He, Adam Kortylewski, Alan Yuille

CVPR 2023 Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille

NeurIPS 2023 Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen

CVPR 2022 Learning from Temporal Gradient for Semi-Supervised Action Recognition Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li

ICMLW 2022 OOD-CV: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski

ECCV 2022 OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski

ECCV 2022 PartImageNet: A Large, High-Quality Dataset of Parts Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille

AAAI 2022 TransFG: A Transformer Architecture for Fine-Grained Recognition Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang

CVPR 2022 TransMix: Attend to Mix for Vision Transformers Jie-Neng Chen, Shuyang Sun, Ju He, Philip H.S. Torr, Alan Yuille, Song Bai

CVPRW 2021 Semi-Synthesis: A Fast Way to Produce Effective Datasets for Stereo Matching Ju He, Enyu Zhou, Liusheng Sun, Fei Lei, Chenyang Liu, Wenxiu Sun

CVPR 2020 Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille