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Hi, I am Sucheng Ren (ไปป่ๆ), a Computer Science Ph.D. student at Johns Hopkins University, where I am fortunate to be advised by Bloomberg Distinguished Professor Alan Yuille and Prof. Cihang Xie. I received my B.S. and M.S. degree in Computer Science from South China University of Technology. Previously, I spent great time at Microsoft Research Asia (MSRA), Tsinghua University and National University of Singapore. My research lies at the Self-Supervised Learning and Multimodal Learning. I'm currently looking for research intern roles for Summer 2024! |
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Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [paper] [code] [bibtex] We explore distillation techniques to transfer the success of large MIM-based pre-trained models to smaller ones. |
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Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (Oral), 2022 [paper] [code] [bibtex] Integrating the capability of capturing multiscale objects in each attention layer by adaptively merging tokens. |
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Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang International Conference on Computer Vision (ICCV), 2023 [paper] [code] [bibtex] Integrating the capability of capturing multiscale objects in each attention layer by adaptively merging tokens. |
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Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [paper] [code] [bibtex] The first work delves into the influence of models inductive biases in knowledge distillation |
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Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan Yuille, Yuyin Zhou, Cihang Xie IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [paper] [bibtex] A generic training strategy in data mixing that can improve the self-supervised representation learning of both CNNs and ViTs |
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Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao International Conference on Computer Vision (ICCV), 2021 [paper] [website] [bibtex] A knowledge distillation-based framework to effectively utilize multimodal data without requiring labels. |
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Sucheng Ren, Yong Du, Jianming Lv, Guoqiang Han, and Shengfeng He IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [paper] [bibtex] Training a master to learn how to teach a better student. |
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Sucheng Ren, Wenxi Liu, Yongtuo Liu, Haoxin Chen, Guoqiang Han and Shengfeng He IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [paper] [bibtex] [code] Jointly learning salient objects, moving objects, recurring objects for Unsupervised Video Object Segmentation. |
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Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han and Shengfeng He European Conference on Computer Vision (ECCV), 2020 (Spotlight, Acceptance Rate 5.0%) [paper] [bibtex]
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