Sucheng Ren

According to our database, Sucheng Ren authored at least 29 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation.

Yijiang Li, Sucheng Ren, Weipeng Deng, Yuzhi Xu, Ying Gao, Edith C. H. Ngai, Haohan Wang

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting.

Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Edge Distraction-aware Salient Object Detection.

Sucheng Ren, Wenxi Liu, Jianbo Jiao, Guoqiang Han, Shengfeng He

IEEE Multim., 2023

Compress & Align: Curating Image-Text Data with Human Knowledge.

Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie

CoRR, 2023

Rejuvenating image-GPT as Strong Visual Representation Learners.

Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie

CoRR, 2023

DeepMIM: Deep Supervision for Masked Image Modeling.

Sucheng Ren, Fangyun Wei, Samuel Albanie, Zheng Zhang, Han Hu

CoRR, 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, Shengfeng He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation.

Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation.

Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-supervision through Random Segments with Autoregressive Coding (RandSAC).

Tianyu Hua, Yonglong Tian, Sucheng Ren, Michalis Raptis, Hang Zhao, Leonid Sigal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SG-Former: Self-guided Transformer with Evolving Token Reallocation.

Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models.

Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation.

Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao

CoRR, 2022

Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization.

Zhengqi Gao, Sucheng Ren, Zihui Xue, Siting Li, Hang Zhao

CoRR, 2022

Self-supervision through Random Segments with Autoregressive Coding (RandSAC).

Tianyu Hua, Yonglong Tian, Sucheng Ren, Hang Zhao, Leonid Sigal

CoRR, 2022

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.

Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision, 2022

Shunted Self-Attention via Multi-Scale Token Aggregation.

Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Co-advise: Cross Inductive Bias Distillation.

Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting.

Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He

CoRR, 2021

Unifying Global-Local Representations in Salient Object Detection with Transformer.

Sucheng Ren, Qiang Wen, Nanxuan Zhao, Guoqiang Han, Shengfeng He

CoRR, 2021

Multimodal Knowledge Expansion.

Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

On Feature Decorrelation in Self-Supervised Learning.

Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Reciprocal Transformations for Unsupervised Video Object Segmentation.

Sucheng Ren, Wenxi Liu, Yongtuo Liu, Haoxin Chen, Guoqiang Han, Shengfeng He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading.

Sucheng Ren, Yong Du, Jianming Lv, Guoqiang Han, Shengfeng He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation.

Haoxin Chen, Hanjie Wu, Nanxuan Zhao, Sucheng Ren, Shengfeng He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

TENet: Triple Excitation Network for Video Salient Object Detection.

Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He

Proceedings of the Computer Vision - ECCV 2020, 2020