Perception-based high dynamic range compression in gradient domain. - Wen-Fu Lee; Tsung-Yi Lin; Mei-Lan Chu; Tai-Hsiang Huang; Homer H. Chen (ICIP, 2009)

Example-based human motion extrapolation based on manifold learning. - Nick C. Tang; Chiou-Ting Hsu; Tsung-Yi Lin; Hong-Yuan Mark Liao (ACM Multimedia, 2011)

Cross camera people counting with perspective estimation and occlusion handling. - Tsung-Yi Lin; Yen-Yu Lin; Ming-Fang Weng; Yu-Chiang Frank Wang; Yu-Feng Hsu; Hong-Yuan Mark Liao (WIFS, 2011)

Cross-View Image Geolocalization. - Tsung-Yi Lin; Serge J. Belongie; James Hays (CVPR, 2013)

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 (ECCV (5), 2014)

Microsoft COCO: Common Objects in Context. - 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 (CoRR, 2014)

Example-Based Human Motion Extrapolation and Motion Repairing Using Contour Manifold. - Nick C. Tang; Chiou-Ting Hsu; Ming-Fang Weng; Tsung-Yi Lin; Hong-Yuan Mark Liao (IEEE Trans. Multim., 2014)

Learning deep representations for ground-to-aerial geolocalization. - Tsung-Yi Lin; Yin Cui; Serge J. Belongie; James Hays (CVPR, 2015)

Microsoft COCO Captions: Data Collection and Evaluation Server. - Xinlei Chen; Hao Fang 002; Tsung-Yi Lin; Ramakrishna Vedantam; Saurabh Gupta 001; Piotr Dollár; C. Lawrence Zitnick (CoRR, 2015)

A MultiPath Network for Object Detection. - Sergey Zagoruyko; Adam Lerer; Tsung-Yi Lin; Pedro Oliveira Pinheiro; Sam Gross; Soumith Chintala; Piotr Dollár (BMVC, 2016)

Learning to Refine Object Segments. - Pedro Oliveira Pinheiro; Tsung-Yi Lin; Ronan Collobert; Piotr Dollár (ECCV (1), 2016)

Cross-View Image Geo-localization. - Tsung-Yi Lin; Serge J. Belongie; James Hays (Large-Scale Visual Geo-Localization, 2016)

Feature Pyramid Networks for Object Detection. - Tsung-Yi Lin; Piotr Dollár; Ross B. Girshick; Kaiming He; Bharath Hariharan; Serge J. Belongie (CVPR, 2017)

Collaborative Metric Learning. - Cheng-Kang Hsieh; Longqi Yang; Yin Cui; Tsung-Yi Lin; Serge J. Belongie; Deborah Estrin (WWW, 2017)

DropBlock: A regularization method for convolutional networks. - Golnaz Ghiasi; Tsung-Yi Lin; Quoc V. Le (NeurIPS, 2018)

Class-Balanced Loss Based on Effective Number of Samples. - Yin Cui; Menglin Jia; Tsung-Yi Lin; Yang Song 009; Serge J. Belongie (CVPR, 2019)

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. - Golnaz Ghiasi; Tsung-Yi Lin; Quoc V. Le (CVPR, 2019)

ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. - Weicheng Kuo; Anelia Angelova; Jitendra Malik; Tsung-Yi Lin (ICCV, 2019)

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. - Golnaz Ghiasi; Tsung-Yi Lin; Ruoming Pang; Quoc V. Le (CoRR, 2019)

MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. - Bo Chen 019; Golnaz Ghiasi; Hanxiao Liu; Tsung-Yi Lin; Dmitry Kalenichenko; Hartwig Adam; Quoc V. Le (CVPR, 2020)

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. - Xianzhi Du; Tsung-Yi Lin; Pengchong Jin; Golnaz Ghiasi; Mingxing Tan; Yin Cui; Quoc V. Le; Xiaodan Song (CVPR, 2020)

Efficient Scale-Permuted Backbone with Learned Resource Distribution. - Xianzhi Du; Tsung-Yi Lin; Pengchong Jin; Yin Cui; Mingxing Tan; Quoc V. Le; Xiaodan Song (ECCV (23), 2020)

Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. - Weicheng Kuo; Anelia Angelova; Tsung-Yi Lin; Angela Dai (ECCV (3), 2020)

Learning Data Augmentation Strategies for Object Detection. - Barret Zoph; Ekin D. Cubuk; Golnaz Ghiasi; Tsung-Yi Lin; Jonathon Shlens; Quoc V. Le (ECCV (27), 2020)

Learning to See before Learning to Act: Visual Pre-training for Manipulation. - Yen-Chen Lin; Andy Zeng 001; Shuran Song; Phillip Isola; Tsung-Yi Lin (ICRA, 2020)

Rethinking Pre-training and Self-training. - Barret Zoph; Golnaz Ghiasi; Tsung-Yi Lin; Yin Cui; Hanxiao Liu; Ekin Dogus Cubuk; Quoc Le 001 (NeurIPS, 2020)

Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. - Ankita Pasad; Ariel Gordon; Tsung-Yi Lin; Anelia Angelova (CoRR, 2020)

SoDA: Multi-Object Tracking with Soft Data Association. - Wei-Chih Hung; Henrik Kretzschmar; Tsung-Yi Lin; Yuning Chai; Ruichi Yu; Ming-Hsuan Yang 001; Dragomir Anguelov (CoRR, 2020)

iNeRF: Inverting Neural Radiance Fields for Pose Estimation. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Alberto Rodriguez Garcia; Phillip Isola; Tsung-Yi Lin (CoRR, 2020)

Focal Loss for Dense Object Detection. - Tsung-Yi Lin; Priya Goyal; Ross B. Girshick; Kaiming He; Piotr Dollár (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

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 (CVPR, 2021)

Bottleneck Transformers for Visual Recognition. - Aravind Srinivas; Tsung-Yi Lin; Niki Parmar; Jonathon Shlens; Pieter Abbeel; Ashish Vaswani (CVPR, 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 (ICCV, 2021)

iNeRF: Inverting Neural Radiance Fields for Pose Estimation. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Alberto Rodriguez 003; Phillip Isola; Tsung-Yi Lin (IROS, 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 (NeurIPS, 2021)

Zero-Shot Detection via Vision and Language Knowledge Distillation. - Xiuye Gu; Tsung-Yi Lin; Weicheng Kuo; Yin Cui (CoRR, 2021)

Single Image Texture Translation for Data Augmentation. - Boyi Li; Yin Cui; Tsung-Yi Lin; Serge J. Belongie (CoRR, 2021)

Simple Training Strategies and Model Scaling for Object Detection. - Xianzhi Du; Barret Zoph; Wei-Chih Hung; Tsung-Yi Lin (CoRR, 2021)

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. - Wuyang Chen 001; Xianzhi Du; Fan Yang; Lucas Beyer; Xiaohua Zhai; Tsung-Yi Lin; Huizhong Chen; Jing Li; Xiaodan Song; Zhangyang Wang; Denny Zhou (CoRR, 2021)

Open-Vocabulary Image Segmentation. - Golnaz Ghiasi; Xiuye Gu; Yin Cui; Tsung-Yi Lin (CoRR, 2021)

A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. - Wuyang Chen 001; Xianzhi Du; Fan Yang; Lucas Beyer; Xiaohua Zhai; Tsung-Yi Lin; Huizhong Chen; Jing Li; Xiaodan Song; Zhangyang Wang; Denny Zhou (ECCV (10), 2022)

Scaling Open-Vocabulary Image Segmentation with Image-Level Labels. - Golnaz Ghiasi; Xiuye Gu; Yin Cui; Tsung-Yi Lin (ECCV (36), 2022)

SITTA: Single Image Texture Translation for Data Augmentation. - Boyi Li; Yin Cui; Tsung-Yi Lin; Serge J. Belongie (ECCV Workshops (2), 2022)

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation. - Xiuye Gu; Tsung-Yi Lin; Weicheng Kuo; Yin Cui (ICLR, 2022)

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Tsung-Yi Lin; Alberto Rodriguez 003; Phillip Isola (ICRA, 2022)

A Unified Sequence Interface for Vision Tasks. - Ting Chen 007; Saurabh Saxena; Lala Li; Tsung-Yi Lin; David J. Fleet; Geoffrey E. Hinton (NeurIPS, 2022)

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Tsung-Yi Lin; Alberto Rodriguez Garcia; Phillip Isola (CoRR, 2022)

Optimizing Anchor-based Detectors for Autonomous Driving Scenes. - Xianzhi Du; Wei-Chih Hung; Tsung-Yi Lin (CoRR, 2022)

Learning Open-World Object Proposals Without Learning to Classify. - Dahun Kim; Tsung-Yi Lin; Anelia Angelova; In So Kweon; Weicheng Kuo (IEEE Robotics Autom. Lett., 2022)

Magic3D: High-Resolution Text-to-3D Content Creation. - Chen-Hsuan Lin 001; Jun Gao 004; Luming Tang; Towaki Takikawa; Xiaohui Zeng; Xun Huang; Karsten Kreis; Sanja Fidler; Ming-Yu Liu 001; Tsung-Yi Lin (CVPR, 2023)

ATT3D: Amortized Text-to-3D Object Synthesis. - Jonathan Lorraine; Kevin Xie; Xiaohui Zeng; Chen-Hsuan Lin 001; Towaki Takikawa; Nicholas Sharp; Tsung-Yi Lin; Ming-Yu Liu 001; Sanja Fidler; James Lucas (ICCV, 2023)

SIGGRAPH 2023 Course on Diffusion Models. - Chenlin Meng; Jiaming Song; Shuang Li; Jun-Yan Zhu; Stefano Ermon; Tsung-Yi Lin; Chen-Hsuan Lin 001; Karsten Kreis (SIGGRAPH Courses, 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 (WACV, 2023)

Motion-Conditioned Diffusion Model for Controllable Video Synthesis. - Tsai-Shien Chen; Chieh Hubert Lin; Hung-Yu Tseng; Tsung-Yi Lin; Ming-Hsuan Yang 001 (CoRR, 2023)

Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. - Yunhao Ge; Xiaohui Zeng; Jacob Samuel Huffman; Tsung-Yi Lin; Ming-Yu Liu 001; Yin Cui (CVPR, 2024)

Edify 3D: Scalable High-Quality 3D Asset Generation. - Maciej Bala; Yin Cui; Yifan Ding; Yunhao Ge; Zekun Hao; Jon Hasselgren; Jacob Samuel Huffman; Jingyi Jin; J. P. Lewis 001; Zhaoshuo Li; Chen-Hsuan Lin 001; Yen-Chen Lin; et al. (CoRR, 2024)

Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale. - Zekun Hao; David W. Romero; Tsung-Yi Lin; Ming-Yu Liu 001 (CoRR, 2024)

Dynamic Camera Poses and Where to Find Them. - Chris Rockwell 001; Joseph Tung; Tsung-Yi Lin; Ming-Yu Liu 001; David F. Fouhey; Chen-Hsuan Lin 001 (CVPR, 2025)

HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. - Hermann Kumbong; Xian Liu; Tsung-Yi Lin; Ming-Yu Liu 001; Xihui Liu; Ziwei Liu; Daniel Y. Fu; Christopher Ré; David W. Romero (CVPR, 2025)

Articulated Kinematics Distillation from Video Diffusion Models. - Xuan Li; Qianli Ma; Tsung-Yi Lin; Yongxin Chen; Chenfanfu Jiang; Ming-Yu Liu 001; Donglai Xiang (CVPR, 2025)

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. - Qingqing Zhao; Yao Lu 006; Moo Jin Kim; Zipeng Fu; Zhuoyang Zhang; Yecheng Wu; Zhaoshuo Li; Qianli Ma; Song Han 003; Chelsea Finn; Ankur Handa; Tsung-Yi Lin; et al. (CVPR, 2025)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - 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; et al. (CoRR, 2025)

Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation. - Lu Ling; Chen-Hsuan Lin 001; Tsung-Yi Lin; Yifan Ding; Yu Zeng 001; Yichen Sheng; Yunhao Ge; Ming-Yu Liu 001; Aniket Bera; Zhaoshuo Li (CoRR, 2025)

Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. - Huayu Chen; Kaiwen Zheng; Qinsheng Zhang; Ganqu Cui; Yin Cui; Haotian Ye; Tsung-Yi Lin; Ming-Yu Liu 001; Jun Zhu 001; Haoxiang Wang (CoRR, 2025)

Efficient Part-level 3D Object Generation via Dual Volume Packing. - Jiaxiang Tang; Ruijie Lu; Zhaoshuo Li; Zekun Hao; Xuan Li; Fangyin Wei; Shuran Song; Gang Zeng; Ming-Yu Liu 001; Tsung-Yi Lin (CoRR, 2025)