Sucheng Ren

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 48

Top Topics

Visual Representation

Supervised Learning

Top Venues

Publications

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
Autoregressive Pretraining with Mamba in Vision. CoRR (2024)
Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. CoRR (2024)
Sucheng Ren, Xiaoke Huang, Xianhang Li, Junfei Xiao, Jieru Mei, Zeyu Wang, Alan L. Yuille, Yuyin Zhou
Medical Vision Generalist: Unifying Medical Imaging Tasks in Context. CoRR (2024)
Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie
Mamba-R: Vision Mamba ALSO Needs Registers. CoRR (2024)
Zheng Xiong, Liangyu Chai, Wenxi Liu, Yongtuo Liu, Sucheng Ren, Shengfeng He
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting. WACV (2024)
Sucheng Ren, Nanxuan Zhao, Qiang Wen, Guoqiang Han, Shengfeng He
Unifying Global-Local Representations in Salient Object Detection With Transformers. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Yijiang Li, Sucheng Ren, Weipeng Deng, Yuzhi Xu, Ying Gao, Edith C. H. Ngai, Haohan Wang
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation. CoRR (2024)
Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie
What If We Recaption Billions of Web Images with LLaMA-3? CoRR (2024)
Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie
Rejuvenating image-GPT as Strong Visual Representation Learners. CoRR (2023)
Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. CoRR (2023)
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
SG-Former: Self-guided Transformer with Evolving Token Reallocation. ICCV (2023)
Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang, Jing Qin, Shengfeng He
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos. ACM Multimedia (2023)
Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation. ICLR (2023)
Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie
Compress & Align: Curating Image-Text Data with Human Knowledge. CoRR (2023)
Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang, Jing Qin, Shengfeng He
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos. CoRR (2023)
Sucheng Ren, Wenxi Liu, Jianbo Jiao, Guoqiang Han, Shengfeng He
Edge Distraction-aware Salient Object Detection. IEEE Multim. 30 (3) (2023)
Sucheng Ren, Fangyun Wei, Samuel Albanie, Zheng Zhang, Han Hu
DeepMIM: Deep Supervision for Masked Image Modeling. CoRR (2023)
Tianyu Hua, Yonglong Tian, Sucheng Ren, Michalis Raptis, Hang Zhao, Leonid Sigal
Self-supervision through Random Segments with Autoregressive Coding (RandSAC). ICLR (2023)
Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. ICME (2023)
Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. CVPR (2023)
Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
SG-Former: Self-guided Transformer with Evolving Token Reallocation. CoRR (2023)
Tianyu Hua, Yonglong Tian, Sucheng Ren, Hang Zhao, Leonid Sigal
Self-supervision through Random Segments with Autoregressive Coding (RandSAC). CoRR (2022)
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CVPR (2022)
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion. ECCV (24) (2022)
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. CoRR (2022)
Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
Shunted Self-Attention via Multi-Scale Token Aggregation. CVPR (2022)
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion. CoRR (2022)
Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao
The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation. CoRR (2022)
Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CoRR (2022)
Zhengqi Gao, Sucheng Ren, Zihui Xue, Siting Li, Hang Zhao
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization. CoRR (2022)
Zheng Xiong, Liangyu Chai, Wenxi Liu, Yongtuo Liu, Sucheng Ren, Shengfeng He
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting. CoRR (2022)
Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao
Co-advise: Cross Inductive Bias Distillation. CVPR (2022)
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. ECCV (16) (2022)
Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao
Multimodal Knowledge Expansion. CoRR (2021)
Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao
Multimodal Knowledge Expansion. ICCV (2021)
Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting. CoRR (2021)
Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR (2021)
Sucheng Ren, Wenxi Liu, Yongtuo Liu, Haoxin Chen, Guoqiang Han, Shengfeng He
Reciprocal Transformations for Unsupervised Video Object Segmentation. CVPR (2021)
Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao
Co-advise: Cross Inductive Bias Distillation. CoRR (2021)
Tianyu Hua, Wenxiao Wang, Zihui Xue, Yue Wang, Sucheng Ren, Hang Zhao
On Feature Decorrelation in Self-Supervised Learning. CoRR (2021)
Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao
On Feature Decorrelation in Self-Supervised Learning. ICCV (2021)
Sucheng Ren, Yong Du, Jianming Lv, Guoqiang Han, Shengfeng He
Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading. CVPR (2021)
Sucheng Ren, Qiang Wen, Nanxuan Zhao, Guoqiang Han, Shengfeng He
Unifying Global-Local Representations in Salient Object Detection with Transformer. CoRR (2021)
Haoxin Chen, Hanjie Wu, Nanxuan Zhao, Sucheng Ren, Shengfeng He
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation. CVPR (2021)
Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. CoRR (2021)
Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He
TENet: Triple Excitation Network for Video Salient Object Detection. CoRR (2020)
Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He
TENet: Triple Excitation Network for Video Salient Object Detection. ECCV (5) (2020)