Ren, Sucheng

25 publications

TMLR 2025 ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan Yuille, Cihang Xie

CVPR 2025 Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan Yuille, Cihang Xie

ICLR 2025 Autoregressive Pretraining with Mamba in Vision Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan Yuille, Cihang Xie

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

WACV 2025 DeepMIM: Deep Supervision for Masked Image Modeling Sucheng Ren, Fangyun Wei, Samuel Albanie, Zheng Zhang, Han Hu

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

CVPR 2025 Mamba-Reg: Vision Mamba Also Needs Registers Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan Yuille, Cihang Xie

ICML 2025 What if We Recaption Billions of Web Images with Llama-3? Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie

WACV 2024 Glance to Count: Learning to Rank with Anchors for Weakly-Supervised Crowd Counting Zheng Xiong, Liangyu Chai, Wenxi Liu, Yongtuo Liu, Sucheng Ren, Shengfeng He

ICML 2024 Rejuvenating Image-GPT as Strong Visual Representation Learners Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan Yuille, Cihang Xie

ICCV 2023 SG-Former: Self-Guided Transformer with Evolving Token Reallocation Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang

ICLR 2023 Self-Supervision Through Random Segments with Autoregressive Coding (RandSAC) Tianyu Hua, Yonglong Tian, Sucheng Ren, Michalis Raptis, Hang Zhao, Leonid Sigal

ICLR 2023 The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao

CVPR 2023 TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu

CVPR 2022 A Simple Data Mixing Prior for Improving Self-Supervised Learning Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan Yuille, Yuyin Zhou, Cihang Xie

CVPR 2022 Co-Advise: Cross Inductive Bias Distillation Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao

ECCV 2022 DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang

ECCV 2022 Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning

CVPR 2022 Shunted Self-Attention via Multi-Scale Token Aggregation Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang

CVPR 2021 Delving Deep into Many-to-Many Attention for Few-Shot Video Object Segmentation Haoxin Chen, Hanjie Wu, Nanxuan Zhao, Sucheng Ren, Shengfeng He

CVPR 2021 Learning from the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading Sucheng Ren, Yong Du, Jianming Lv, Guoqiang Han, Shengfeng He

ICCV 2021 Multimodal Knowledge Expansion Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao

ICCV 2021 On Feature Decorrelation in Self-Supervised Learning Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao

CVPR 2021 Reciprocal Transformations for Unsupervised Video Object Segmentation Sucheng Ren, Wenxi Liu, Yongtuo Liu, Haoxin Chen, Guoqiang Han, Shengfeng He

ECCV 2020 TENet: Triple Excitation Network for Video Salient Object Detection Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He