Tsung-Yi Lin - RankMe

102 papers A* 29A 3B 1Journal 58Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning. CoRR Moo Jin Kim, Yihuai Gao, Tsung-Yi Lin, Yen-Chen Lin, Yunhao Ge, Grace Lam, Percy Liang, Shuran Song, Ming-Yu Liu, Chelsea Finn, Jinwei Gu
2026	J	`jnl`	DuoGen: Towards General Purpose Interleaved Multimodal Generation. CoRR Min Shi, Xiaohui Zeng, Jiannan Huang, Yin Cui, Francesco Ferroni, Jialuo Li, Shubham Pachori, Zhaoshuo Li, Yogesh Balaji, Haoxiang Wang, Tsung-Yi Lin, Xiao Fu, Yue Zhao, Chieh-Yun Chen, Ming-Yu Liu, Humphrey Shi
2026	J	`jnl`	SAGE: Scalable Agentic 3D Scene Generation for Embodied AI. CoRR Hongchi Xia, Xuan Li, Zhaoshuo Li, Qianli Ma, Jiashu Xu, Ming-Yu Liu, Yin Cui, Tsung-Yi Lin, Wei-Chiu Ma, Shenlong Wang, Shuran Song, Fangyin Wei
2026	J	`jnl`	VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events. CoRR Mohammad Qazim Bhat, Yufan Huang, Niket Agarwal, Hao Wang, Michael Woods, John Kenyon, Tsung-Yi Lin, Xiaodong Yang, Ming-Yu Liu, Kevin Xie
2025	A*	`conf`	Articulated Kinematics Distillation from Video Diffusion Models. CVPR Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang
2025	J	`jnl`	Articulated Kinematics Distillation from Video Diffusion Models. CoRR Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang
2025	J	`jnl`	Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. CoRR Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang
2025	A*	`conf`	CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. CVPR 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
2025	J	`jnl`	CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. CoRR Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Ming-Yu Liu, Donglai Xiang, Gordon Wetzstein, Tsung-Yi Lin
2025	J	`jnl`	Cosmos World Foundation Model Platform for Physical AI. CoRR Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski
2025	J	`jnl`	Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. CoRR Alisson G. Azzolini, Hannah Brandon, Prithvijit Chattopadhyay, Huayu Chen, Jinju Chu, Yin Cui, Jenna Diamond, Yifan Ding, Francesco Ferroni, Rama Govindaraju, Jinwei Gu, Siddharth Gururani, Imad El Hanafi, Zekun Hao, Jacob Samuel Huffman, Jingyi Jin, Brendan Johnson, Rizwan Khan, George Kurian, Elena Lantz, Nayeon Lee, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Yen-Chen Lin, Ming-Yu Liu, Alice Luo, Andrew Mathau, Yun Ni, Lindsey Pavao, Wei Ping, David W. Romero, Misha Smelyanskiy, Shuran Song, Lyne Tchapmi, Andrew Z. Wang, Boxin Wang, Haoxiang Wang, Fangyin Wei, Jiashu Xu, Yao Xu, Xiaodong Yang, Zhuolin Yang, Xiaohui Zeng, Zhe Zhang
2025	A*	`conf`	Dynamic Camera Poses and Where to Find Them. CVPR Chris Rockwell, Joseph Tung, Tsung-Yi Lin, Ming-Yu Liu, David F. Fouhey, Chen-Hsuan Lin
2025	J	`jnl`	Dynamic Camera Poses and Where to Find Them. CoRR Chris Rockwell, Joseph Tung, Tsung-Yi Lin, Ming-Yu Liu, David F. Fouhey, Chen-Hsuan Lin
2025	J	`jnl`	Efficient Part-level 3D Object Generation via Dual Volume Packing. CoRR Jiaxiang Tang, Ruijie Lu, Zhaoshuo Li, Zekun Hao, Xuan Li, Fangyin Wei, Shuran Song, Gang Zeng, Ming-Yu Liu, Tsung-Yi Lin
2025	A*	`conf`	HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. CVPR Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Ré, David W. Romero
2025	J	`jnl`	HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. CoRR Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Ré, David W. Romero
2025	J	`jnl`	Openpi Comet: Competition Solution For 2025 BEHAVIOR Challenge. CoRR Junjie Bai, Yu-Wei Chao, Qizhi Chen, Jinwei Gu, Moo Jin Kim, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Ming-Yu Liu, Nic Ma, Kaichun Mo, Delin Qu, Shangkun Sun, Hongchi Xia, Fangyin Wei, Xiaohui Zeng
2025	J	`jnl`	Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation. CoRR Lu Ling, Chen-Hsuan Lin, Tsung-Yi Lin, Yifan Ding, Yu Zeng, Yichen Sheng, Yunhao Ge, Ming-Yu Liu, Aniket Bera, Zhaoshuo Li
2024	J	`jnl`	Edify 3D: Scalable High-Quality 3D Asset Generation. CoRR Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Samuel Huffman, Jingyi Jin, J. P. Lewis, Zhaoshuo Li, Chen-Hsuan Lin, Yen-Chen Lin, Tsung-Yi Lin, Ming-Yu Liu, Alice Luo, Qianli Ma, Jacob Munkberg, Stella Shi, Fangyin Wei, Donglai Xiang, Jiashu Xu, Xiaohui Zeng, Qinsheng Zhang
2024	J	`jnl`	Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale. CoRR Zekun Hao, David W. Romero, Tsung-Yi Lin, Ming-Yu Liu
2024	A*	`conf`	Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CVPR Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui
2024	J	`jnl`	Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CoRR Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui
2023	A*	`conf`	ATT3D: Amortized Text-to-3D Object Synthesis. ICCV Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
2023	J	`jnl`	ATT3D: Amortized Text-to-3D Object Synthesis. CoRR Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
2023	A*	`conf`	Magic3D: High-Resolution Text-to-3D Content Creation. CVPR Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
2023	J	`jnl`	Motion-Conditioned Diffusion Model for Controllable Video Synthesis. CoRR Tsai-Shien Chen, Chieh Hubert Lin, Hung-Yu Tseng, Tsung-Yi Lin, Ming-Hsuan Yang
2023	—	`conf`	SIGGRAPH 2023 Course on Diffusion Models. SIGGRAPH Courses Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis
2023	A	`conf`	Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. WACV Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi
2022	—	`conf`	A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. ECCV (10) Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	A*	`conf`	A Unified Sequence Interface for Vision Tasks. NeurIPS Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	A Unified Sequence Interface for Vision Tasks. CoRR Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics Autom. Lett. Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
2022	J	`jnl`	Magic3D: High-Resolution Text-to-3D Content Creation. CoRR Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
2022	A*	`conf`	NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. ICRA Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola
2022	J	`jnl`	NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. CoRR Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez Garcia, Phillip Isola
2022	A*	`conf`	Open-vocabulary Object Detection via Vision and Language Knowledge Distillation. ICLR Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui
2022	J	`jnl`	Optimizing Anchor-based Detectors for Autonomous Driving Scenes. CoRR Xianzhi Du, Wei-Chih Hung, Tsung-Yi Lin
2022	—	`conf`	SITTA: Single Image Texture Translation for Data Augmentation. ECCV Workshops (2) Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie
2022	—	`conf`	Scaling Open-Vocabulary Image Segmentation with Image-Level Labels. ECCV (36) Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin
2022	J	`jnl`	Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. CoRR Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi
2021	J	`jnl`	A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. CoRR Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2021	A*	`conf`	Bottleneck Transformers for Visual Recognition. CVPR Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
2021	J	`jnl`	Bottleneck Transformers for Visual Recognition. CoRR Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
2021	J	`jnl`	Learning Open-World Object Proposals without Learning to Classify. CoRR Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
2021	J	`jnl`	Learning to See before Learning to Act: Visual Pre-training for Manipulation. CoRR Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
2021	A*	`conf`	Multi-Task Self-Training for Learning General Representations. ICCV Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
2021	J	`jnl`	Multi-Task Self-Training for Learning General Representations. CoRR Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
2021	J	`jnl`	Open-Vocabulary Image Segmentation. CoRR Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin
2021	A*	`conf`	Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. ICCV Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
2021	J	`jnl`	Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. CoRR Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
2021	A*	`conf`	Revisiting ResNets: Improved Training and Scaling Strategies. NeurIPS Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
2021	J	`jnl`	Revisiting ResNets: Improved Training and Scaling Strategies. CoRR Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
2021	A*	`conf`	Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. CVPR Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
2021	J	`jnl`	Simple Training Strategies and Model Scaling for Object Detection. CoRR Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin
2021	J	`jnl`	Single Image Texture Translation for Data Augmentation. CoRR Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie
2021	J	`jnl`	Zero-Shot Detection via Vision and Language Knowledge Distillation. CoRR Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui
2021	A	`conf`	iNeRF: Inverting Neural Radiance Fields for Pose Estimation. IROS Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
2020	—	`conf`	Efficient Scale-Permuted Backbone with Learned Resource Distribution. ECCV (23) Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song
2020	J	`jnl`	Efficient Scale-Permuted Backbone with Learned Resource Distribution. CoRR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song
2020	J	`jnl`	Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2020	J	`jnl`	Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. CoRR Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova
2020	—	`conf`	Learning Data Augmentation Strategies for Object Detection. ECCV (27) Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
2020	A*	`conf`	Learning to See before Learning to Act: Visual Pre-training for Manipulation. ICRA Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
2020	—	`conf`	Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. ECCV (3) Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
2020	J	`jnl`	Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. CoRR Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
2020	A*	`conf`	MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. CVPR Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le
2020	A*	`conf`	Rethinking Pre-training and Self-training. NeurIPS Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc Le
2020	J	`jnl`	Rethinking Pre-training and Self-training. CoRR Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le
2020	J	`jnl`	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. CoRR Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
2020	J	`jnl`	SoDA: Multi-Object Tracking with Soft Data Association. CoRR Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov
2020	A*	`conf`	SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CVPR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
2020	J	`jnl`	iNeRF: Inverting Neural Radiance Fields for Pose Estimation. CoRR Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin
2019	A*	`conf`	Class-Balanced Loss Based on Effective Number of Samples. CVPR Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie
2019	J	`jnl`	Class-Balanced Loss Based on Effective Number of Samples. CoRR Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie
2019	J	`jnl`	Learning Data Augmentation Strategies for Object Detection. CoRR Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
2019	J	`jnl`	MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices. CoRR Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le
2019	A*	`conf`	NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. CVPR Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
2019	J	`jnl`	NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. CoRR Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le
2019	A*	`conf`	ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. ICCV Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
2019	J	`jnl`	ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. CoRR Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
2019	J	`jnl`	SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CoRR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
2018	A*	`conf`	DropBlock: A regularization method for convolutional networks. NeurIPS Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
2018	J	`jnl`	DropBlock: A regularization method for convolutional networks. CoRR Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
2017	A*	`conf`	Collaborative Metric Learning. WWW Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin
2017	A*	`conf`	Feature Pyramid Networks for Object Detection. CVPR Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
2017	A*	`conf`	Focal Loss for Dense Object Detection. ICCV Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2017	J	`jnl`	Focal Loss for Dense Object Detection. CoRR Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2016	A	`conf`	A MultiPath Network for Object Detection. BMVC Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
2016	J	`jnl`	A MultiPath Network for Object Detection. CoRR Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
2016	—	`ch.`	Cross-View Image Geo-localization. Large-Scale Visual Geo-Localization Tsung-Yi Lin, Serge J. Belongie, James Hays
2016	J	`jnl`	Feature Pyramid Networks for Object Detection. CoRR Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
2016	—	`conf`	Learning to Refine Object Segments. ECCV (1) Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
2016	J	`jnl`	Learning to Refine Object Segments. CoRR Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
2015	A*	`conf`	Learning deep representations for ground-to-aerial geolocalization. CVPR Tsung-Yi Lin, Yin Cui, Serge J. Belongie, James Hays
2015	J	`jnl`	Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick
2014	J	`jnl`	Example-Based Human Motion Extrapolation and Motion Repairing Using Contour Manifold. IEEE Trans. Multim. Nick C. Tang, Chiou-Ting Hsu, Ming-Fang Weng, Tsung-Yi Lin, Hong-Yuan Mark Liao
2014	—	`conf`	Microsoft COCO: Common Objects in Context. ECCV (5) Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
2014	J	`jnl`	Microsoft COCO: Common Objects in Context. CoRR Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
2013	A*	`conf`	Cross-View Image Geolocalization. CVPR Tsung-Yi Lin, Serge J. Belongie, James Hays
2011	—	`conf`	Cross camera people counting with perspective estimation and occlusion handling. WIFS Tsung-Yi Lin, Yen-Yu Lin, Ming-Fang Weng, Yu-Chiang Frank Wang, Yu-Feng Hsu, Hong-Yuan Mark Liao
2011	A*	`conf`	Example-based human motion extrapolation based on manifold learning. ACM Multimedia Nick C. Tang, Chiou-Ting Hsu, Tsung-Yi Lin, Hong-Yuan Mark Liao
2009	B	`conf`	Perception-based high dynamic range compression in gradient domain. ICIP Wen-Fu Lee, Tsung-Yi Lin, Mei-Lan Chu, Tai-Hsiang Huang, Homer H. Chen