TENet: Triple Excitation Network for Video Salient Object Detection. - Sucheng Ren; Chu Han; Xin Yang 011; Guoqiang Han; Shengfeng He (ECCV (5), 2020)

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 003; Jianming Lv; Guoqiang Han; Shengfeng He (CVPR, 2021)

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

On Feature Decorrelation in Self-Supervised Learning. - Tianyu Hua; Wenxiao Wang 002; Zihui Xue; Sucheng Ren; Yue Wang 041; Hang Zhao (ICCV, 2021)

Multimodal Knowledge Expansion. - Zihui Xue; Sucheng Ren; Zhengqi Gao; Hang Zhao (ICCV, 2021)

Unifying Global-Local Representations in Salient Object Detection with Transformer. - Sucheng Ren; Qiang Wen; Nanxuan Zhao; Guoqiang Han; Shengfeng He (CoRR, 2021)

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting. - Yongtuo Liu; Sucheng Ren; Liangyu Chai; Hanjie Wu; Jing Qin 001; Dan Xu 002; Shengfeng He (CoRR, 2021)

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

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

Shunted Self-Attention via Multi-Scale Token Aggregation. - Sucheng Ren; Daquan Zhou; Shengfeng He; Jiashi Feng; Xinchao Wang (CVPR, 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 (ECCV (24), 2022)

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. - Songhua Liu; Jingwen Ye; Sucheng Ren; Xinchao Wang (ECCV (16), 2022)

Self-supervision through Random Segments with Autoregressive Coding (RandSAC). - Tianyu Hua; Yonglong Tian; Sucheng Ren; Hang Zhao; Leonid Sigal (CoRR, 2022)

Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization. - Zhengqi Gao; Sucheng Ren; Zihui Xue; Siting Li; Hang Zhao (CoRR, 2022)

The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation. - Zihui Xue; Zhengqi Gao; Sucheng Ren; Hang Zhao (CoRR, 2022)

TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. - Sucheng Ren; Fangyun Wei; Zheng Zhang 022; Han Hu 001 (CVPR, 2023)

SG-Former: Self-guided Transformer with Evolving Token Reallocation. - Sucheng Ren; Xingyi Yang; Songhua Liu; Xinchao Wang (ICCV, 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 (ICLR, 2023)

Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. - Yongtuo Liu; Dan Xu 002; Sucheng Ren; Hanjie Wu; Hongmin Cai; Shengfeng He (ICME, 2023)

NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos. - Ziyu Yang; Sucheng Ren; Zongwei Wu; Nanxuan Zhao; Junle Wang; Jing Qin 001; Shengfeng He (ACM Multimedia, 2023)

DeepMIM: Deep Supervision for Masked Image Modeling. - Sucheng Ren; Fangyun Wei; Samuel Albanie; Zheng Zhang 022; Han Hu 001 (CoRR, 2023)

Compress & Align: Curating Image-Text Data with Human Knowledge. - Lei Zhang 067; Fangxun Shu; Sucheng Ren; Bingchen Zhao; Hao Jiang; Cihang Xie (CoRR, 2023)

Edge Distraction-aware Salient Object Detection. - Sucheng Ren; Wenxi Liu; Jianbo Jiao; Guoqiang Han; Shengfeng He (IEEE Multim., 2023)

Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. - Yongtuo Liu; Sucheng Ren; Liangyu Chai; Hanjie Wu; Dan Xu 002; Jing Qin 001; Shengfeng He (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Rejuvenating image-GPT as Strong Visual Representation Learners. - Sucheng Ren; Zeyu Wang 008; Hongru Zhu; Junfei Xiao; Alan L. Yuille; Cihang Xie (ICML, 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 (WACV, 2024)

Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation. - Yijiang Li; Sucheng Ren; Weipeng Deng; Yuzhi Xu; Ying Gao 004; Edith C. H. Ngai; Haohan Wang (CoRR, 2024)

Mamba-R: Vision Mamba ALSO Needs Registers. - Feng Wang 047; Jiahao Wang 001; Sucheng Ren; Guoyizhe Wei; Jieru Mei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2024)

Medical Vision Generalist: Unifying Medical Imaging Tasks in Context. - Sucheng Ren; Xiaoke Huang; Xianhang Li; Junfei Xiao; Jieru Mei; Zeyu Wang 008; Alan L. Yuille; Yuyin Zhou (CoRR, 2024)

What If We Recaption Billions of Web Images with LLaMA-3? - Xianhang Li; Haoqin Tu; Mude Hui; Zeyu Wang 008; Bingchen Zhao; Junfei Xiao; Sucheng Ren; Jieru Mei; Qing Liu 017; Huangjie Zheng; Yuyin Zhou; Cihang Xie (CoRR, 2024)

Causal Image Modeling for Efficient Visual Understanding. - Feng Wang 047; Timing Yang; Yaodong Yu; Sucheng Ren; Guoyizhe Wei; Angtian Wang; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2024)

M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation. - Sucheng Ren; Yaodong Yu; Nataniel Ruiz; Feng Wang 047; Alan L. Yuille; Cihang Xie (CoRR, 2024)

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation. - Sucheng Ren; Xiaomeng Li (CoRR, 2024)

FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. - Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2024)

Unifying Global-Local Representations in Salient Object Detection With Transformers. - Sucheng Ren; Nanxuan Zhao; Qiang Wen; Guoqiang Han; Shengfeng He (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Mamba-Reg: Vision Mamba Also Needs Registers. - Feng Wang 047; Jiahao Wang 001; Sucheng Ren; Guoyizhe Wei; Jieru Mei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CVPR, 2025)

Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency. - Feng Wang 047; Timing Yang; Yaodong Yu; Sucheng Ren; Guoyizhe Wei; Angtian Wang; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CVPR, 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 L. Yuille; Cihang Xie (ICLR, 2025)

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

ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. - Sucheng Ren; Hongru Zhu; Chen Wei 005; Yijiang Li; Alan L. Yuille; Cihang Xie (Trans. Mach. Learn. Res., 2025)

Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation. - Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2025)

Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers. - Sucheng Ren; Qihang Yu; Ju He; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2025)

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation. - Sucheng Ren; Xiaomeng Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)