Lin, Tsung-Yi

30 publications

CVPR 2025 Articulated Kinematics Distillation from Video Diffusion Models Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang
CVPR 2025 CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Tsung-Yi Lin, Gordon Wetzstein, Ming-Yu Liu, Donglai Xiang
CVPR 2025 Dynamic Camera Poses and Where to Find Them Chris Rockwell, Joseph Tung, Tsung-Yi Lin, Ming-Yu Liu, David F. Fouhey, Chen-Hsuan Lin
NeurIPS 2025 Efficient Part-Level 3D Object Generation via Dual Volume Packing Jiaxiang Tang, Ruijie Lu, Max Li, Zekun Hao, Xuan Li, Fangyin Wei, Shuran Song, Gang Zeng, Ming-Yu Liu, Tsung-Yi Lin
CVPR 2025 HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Re, David W. Romero
CVPR 2024 Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui
ICCV 2023 ATT3D: Amortized Text-to-3D Object Synthesis Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
CVPR 2023 Magic3D: High-Resolution Text-to-3D Content Creation Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
WACV 2023 Vision Transformer for NeRF-Based View Synthesis from a Single Input Image Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi
ECCV 2022 A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
NeurIPS 2022 A Unified Sequence Interface for Vision Tasks Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J Fleet, Geoffrey E. Hinton
ICLR 2022 Open-Vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui
ECCVW 2022 SITTA: Single Image Texture Translation for Data Augmentation Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie
ECCV 2022 Scaling Open-Vocabulary Image Segmentation with Image-Level Labels Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin
CVPR 2021 Bottleneck Transformers for Visual Recognition Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
ICCV 2021 Multi-Task Self-Training for Learning General Representations Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
ICCV 2021 Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
NeurIPS 2021 Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
CVPR 2021 Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
ECCV 2020 Efficient Scale-Permuted Backbone with Learned Resource Distribution Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui Mingxing Tan, Quoc Le, Xiaodan Song
ECCV 2020 Learning Data Augmentation Strategies for Object Detection Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
ECCV 2020 Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
NeurIPS 2020 Rethinking Pre-Training and Self-Training Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc V. Le
NeurIPS 2018 DropBlock: A Regularization Method for Convolutional Networks Golnaz Ghiasi, Tsung-Yi Lin, Quoc V Le
CVPR 2017 Feature Pyramid Networks for Object Detection Tsung-Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie
ICCV 2017 Focal Loss for Dense Object Detection Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollar
ECCV 2016 Learning to Refine Object Segments Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
CVPR 2015 Learning Deep Representations for Ground-to-Aerial Geolocalization Tsung-Yi Lin, Yin Cui, Serge Belongie, James Hays
ECCV 2014 Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
CVPR 2013 Cross-View Image Geolocalization Tsung-Yi Lin, Serge Belongie, James Hays