Stephen Lin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 36

Top Topics

Visual Correspondence

Unsupervised Learning

Visual Representations

Top Venues

Publications

Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He
You Only Need Less Attention at Each Stage in Vision Transformers. CoRR (2024)
Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. CoRR (2024)
Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. ICLR (2024)
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining. Trans. Mach. Learn. Res. 2024 (2024)
Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin
Extreme Masking for Learning Instance and Distributed Visual Representations. Trans. Mach. Learn. Res. 2023 (2023)
Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. ICCV (2023)
Yuwei Sun, Hideya Ochiai, Zhirong Wu, Stephen Lin, Ryota Kanai
Associative Transformer Is A Sparse Representation Learner. CoRR (2023)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
Global Context Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. ICCV (Workshops) (2023)
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining. CoRR (2023)
Kai Qiu, Huishuai Zhang, Zhirong Wu, Stephen Lin
Exploring Transferability for Randomized Smoothing. CoRR (2023)
Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu
Randomized Quantization for Data Agnostic Representation Learning. CoRR (2022)
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations. CoRR (2022)
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
Video Swin Transformer. CVPR (2022)
Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS (2022)
Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. CoRR (2022)
Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance. CoRR (2022)
Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
Could Giant Pretrained Image Models Extract Universal Representations? CoRR (2022)
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations. ECCV (17) (2022)
Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. ECCV (24) (2022)
Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin
Extreme Masking for Learning Instance and Distributed Visual Representations. CoRR (2022)
Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence. CoRR (2022)
Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. CoRR (2022)
Jiequan Cui, Yuhui Yuan, Zhisheng Zhong, Zhuotao Tian, Han Hu, Stephen Lin, Jiaya Jia
Region Rebalance for Long-Tailed Semantic Segmentation. CoRR (2022)
Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. CoRR (2022)
Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. CoRR (2022)
Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. CVPR (2022)
Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. ECCV (7) (2022)
Yinghao Xu, Fangyun Wei, Xiao Sun, Ceyuan Yang, Yujun Shen, Bo Dai, Bolei Zhou, Stephen Lin
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition. CVPR (2022)
Kun He, Chang Liu, Stephen Lin, John E. Hopcroft
Local Magnification for Data and Feature Augmentation. CoRR (2022)
Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance. ECCV (19) (2022)
Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin
Aligning Pretraining for Detection via Object-Level Contrastive Learning. NeurIPS (2021)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
Bootstrap Your Object Detector via Mixed Training. NeurIPS (2021)
Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. NeurIPS (2021)
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada
Neural Articulated Radiance Field. ICCV (2021)
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. ICCV (2021)