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2020 – today
- 2024
[j3]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): 2870-2879 (2024)- [c19]Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie:
Rejuvenating image-GPT as Strong Visual Representation Learners. ICML 2024 - [c18]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: 342-351 - [i28]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 abs/2403.05523 (2024) - [i27]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 abs/2405.14858 (2024) - [i26]Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan L. Yuille, Cihang Xie:
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. CoRR abs/2405.15160 (2024) - [i25]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 abs/2406.05565 (2024) - [i24]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 abs/2406.07537 (2024) - [i23]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 abs/2406.08478 (2024) - [i22]Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie:
Causal Image Modeling for Efficient Visual Understanding. CoRR abs/2410.07599 (2024) - 2023
- [j2]Sucheng Ren, Wenxi Liu, Jianbo Jiao, Guoqiang Han, Shengfeng He:
Edge Distraction-aware Salient Object Detection. IEEE Multim. 30(3): 63-73 (2023) - [j1]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): 9248-9255 (2023) - [c17]Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu:
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. CVPR 2023: 3687-3697 - [c16]Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang:
SG-Former: Self-guided Transformer with Evolving Token Reallocation. ICCV 2023: 5980-5991 - [c15]Tianyu Hua, Yonglong Tian, Sucheng Ren, Michalis Raptis, Hang Zhao, Leonid Sigal:
Self-supervision through Random Segments with Autoregressive Coding (RandSAC). ICLR 2023 - [c14]Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao:
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation. ICLR 2023 - [c13]Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He:
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. ICME 2023: 2363-2368 - [c12]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: 2294-2304 - [i21]Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu:
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. CoRR abs/2301.01296 (2023) - [i20]Sucheng Ren, Fangyun Wei, Samuel Albanie, Zheng Zhang, Han Hu:
DeepMIM: Deep Supervision for Masked Image Modeling. CoRR abs/2303.08817 (2023) - [i19]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 abs/2308.12163 (2023) - [i18]Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang:
SG-Former: Self-guided Transformer with Evolving Token Reallocation. CoRR abs/2308.12216 (2023) - [i17]Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie:
Rejuvenating image-GPT as Strong Visual Representation Learners. CoRR abs/2312.02147 (2023) - [i16]Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie:
Compress & Align: Curating Image-Text Data with Human Knowledge. CoRR abs/2312.06726 (2023) - 2022
- [c11]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CVPR 2022: 10843-10852 - [c10]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: 14575-14584 - [c9]Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao:
Co-advise: Cross Inductive Bias Distillation. CVPR 2022: 16752-16761 - [c8]Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang:
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. ECCV (16) 2022: 72-90 - [c7]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: 407-422 - [i15]Tianyu Hua, Yonglong Tian, Sucheng Ren, Hang Zhao, Leonid Sigal:
Self-supervision through Random Segments with Autoregressive Coding (RandSAC). CoRR abs/2203.12054 (2022) - [i14]Zhengqi Gao, Sucheng Ren, Zihui Xue, Siting Li, Hang Zhao:
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization. CoRR abs/2204.02485 (2022) - [i13]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 abs/2205.14659 (2022) - [i12]Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao:
The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation. CoRR abs/2206.06487 (2022) - [i11]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 abs/2206.07692 (2022) - [i10]Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang:
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. CoRR abs/2207.06124 (2022) - [i9]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 abs/2207.11327 (2022) - 2021
- [c6]Sucheng Ren, Yong Du, Jianming Lv, Guoqiang Han, Shengfeng He:
Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading. CVPR 2021: 13325-13333 - [c5]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: 14040-14049 - [c4]Sucheng Ren, Wenxi Liu, Yongtuo Liu, Haoxin Chen, Guoqiang Han, Shengfeng He:
Reciprocal Transformations for Unsupervised Video Object Segmentation. CVPR 2021: 15455-15464 - [c3]Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao:
Multimodal Knowledge Expansion. ICCV 2021: 834-843 - [c2]Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao:
On Feature Decorrelation in Self-Supervised Learning. ICCV 2021: 9578-9588 - [i8]Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao:
Multimodal Knowledge Expansion. CoRR abs/2103.14431 (2021) - [i7]Tianyu Hua, Wenxiao Wang, Zihui Xue, Yue Wang, Sucheng Ren, Hang Zhao:
On Feature Decorrelation in Self-Supervised Learning. CoRR abs/2105.00470 (2021) - [i6]Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao:
Co-advise: Cross Inductive Bias Distillation. CoRR abs/2106.12378 (2021) - [i5]Sucheng Ren, Qiang Wen, Nanxuan Zhao, Guoqiang Han, Shengfeng He:
Unifying Global-Local Representations in Salient Object Detection with Transformer. CoRR abs/2108.02759 (2021) - [i4]Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He:
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting. CoRR abs/2108.02970 (2021) - [i3]Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He:
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. CoRR abs/2108.02980 (2021) - [i2]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR abs/2111.15193 (2021) - 2020
- [c1]Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He:
TENet: Triple Excitation Network for Video Salient Object Detection. ECCV (5) 2020: 212-228 - [i1]Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He:
TENet: Triple Excitation Network for Video Salient Object Detection. CoRR abs/2007.09943 (2020)
Coauthor Index
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last updated on 2024-11-18 21:49 CET by the dblp team
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