Tsung-Yi Lin

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 71

Top Topics

Image Segmentation

Temporal Consistency

Diffusion Models

Top Venues

Publications

Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CoRR (2024)
Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis
SIGGRAPH 2023 Course on Diffusion Models. SIGGRAPH Courses (2023)
Tsai-Shien Chen, Chieh Hubert Lin, Hung-Yu Tseng, Tsung-Yi Lin, Ming-Hsuan Yang
Motion-Conditioned Diffusion Model for Controllable Video Synthesis. CoRR (2023)
Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. WACV (2023)
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
ATT3D: Amortized Text-to-3D Object Synthesis. CoRR (2023)
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
ATT3D: Amortized Text-to-3D Object Synthesis. ICCV (2023)
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
Magic3D: High-Resolution Text-to-3D Content Creation. CVPR (2023)
Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels. ECCV (36) (2022)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. CoRR (2022)
Xianzhi Du, Wei-Chih Hung, Tsung-Yi Lin
Optimizing Anchor-based Detectors for Autonomous Driving Scenes. CoRR (2022)
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation. ICLR (2022)
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
Magic3D: High-Resolution Text-to-3D Content Creation. CoRR (2022)
Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
A Unified Sequence Interface for Vision Tasks. CoRR (2022)
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics Autom. Lett. 7 (2) (2022)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. ICRA (2022)
Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
A Unified Sequence Interface for Vision Tasks. NeurIPS (2022)
Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. CoRR (2022)
Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. ECCV (10) (2022)
Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie
SITTA: Single Image Texture Translation for Data Augmentation. ECCV Workshops (2) (2022)
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
Learning Open-World Object Proposals without Learning to Classify. CoRR (2021)
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
Bottleneck Transformers for Visual Recognition. CVPR (2021)
Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie
Single Image Texture Translation for Data Augmentation. CoRR (2021)
Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin
Open-Vocabulary Image Segmentation. CoRR (2021)
Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
Learning to See before Learning to Act: Visual Pre-training for Manipulation. CoRR (2021)
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani
Bottleneck Transformers for Visual Recognition. CoRR (2021)
Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
Multi-Task Self-Training for Learning General Representations. ICCV (2021)
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
Revisiting ResNets: Improved Training and Scaling Strategies. CoRR (2021)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. CoRR (2021)
Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin
Simple Training Strategies and Model Scaling for Object Detection. CoRR (2021)
Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
Revisiting ResNets: Improved Training and Scaling Strategies. NeurIPS (2021)
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui
Zero-Shot Detection via Vision and Language Knowledge Distillation. CoRR (2021)
Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. CoRR (2021)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. ICCV (2021)
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. CVPR (2021)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. IROS (2021)
Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
Multi-Task Self-Training for Learning General Representations. CoRR (2021)
Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. CVPR (2020)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. CoRR (2020)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. ECCV (3) (2020)
Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
Learning to See before Learning to Act: Visual Pre-training for Manipulation. ICRA (2020)
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song
Efficient Scale-Permuted Backbone with Learned Resource Distribution. ECCV (23) (2020)
Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. CoRR (2020)
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
Learning Data Augmentation Strategies for Object Detection. ECCV (27) (2020)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc Le
Rethinking Pre-training and Self-training. NeurIPS (2020)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. CoRR (2020)
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. CoRR (2020)
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song
Efficient Scale-Permuted Backbone with Learned Resource Distribution. CoRR (2020)
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov
SoDA: Multi-Object Tracking with Soft Data Association. CoRR (2020)
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le
Rethinking Pre-training and Self-training. CoRR (2020)
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CVPR (2020)
Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. CoRR (2019)
Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. ICCV (2019)
Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. CoRR (2019)
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie
Class-Balanced Loss Based on Effective Number of Samples. CoRR (2019)
Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices. CoRR (2019)
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. CVPR (2019)
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CoRR (2019)
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
Learning Data Augmentation Strategies for Object Detection. CoRR (2019)
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie
Class-Balanced Loss Based on Effective Number of Samples. CVPR (2019)
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
DropBlock: A regularization method for convolutional networks. NeurIPS (2018)
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
DropBlock: A regularization method for convolutional networks. CoRR (2018)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. CoRR (2017)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. ICCV (2017)
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
Feature Pyramid Networks for Object Detection. CVPR (2017)
Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin
Collaborative Metric Learning. WWW (2017)
Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
Learning to Refine Object Segments. ECCV (1) (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. CoRR (2016)
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
Feature Pyramid Networks for Object Detection. CoRR (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. BMVC (2016)
Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
Learning to Refine Object Segments. CoRR (2016)
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick
Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR (2015)
Tsung-Yi Lin, Yin Cui, Serge J. Belongie, James Hays
Learning deep representations for ground-to-aerial geolocalization. CVPR (2015)
Nick C. Tang, Chiou-Ting Hsu, Ming-Fang Weng, Tsung-Yi Lin, Hong-Yuan Mark Liao
Example-Based Human Motion Extrapolation and Motion Repairing Using Contour Manifold. IEEE Trans. Multim. 16 (1) (2014)
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
Microsoft COCO: Common Objects in Context. ECCV (5) (2014)
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
Microsoft COCO: Common Objects in Context. CoRR (2014)
Tsung-Yi Lin, Serge J. Belongie, James Hays
Cross-View Image Geolocalization. CVPR (2013)
Tsung-Yi Lin, Yen-Yu Lin, Ming-Fang Weng, Yu-Chiang Frank Wang, Yu-Feng Hsu, Hong-Yuan Mark Liao
Cross camera people counting with perspective estimation and occlusion handling. WIFS (2011)
Nick C. Tang, Chiou-Ting Hsu, Tsung-Yi Lin, Hong-Yuan Mark Liao
Example-based human motion extrapolation based on manifold learning. ACM Multimedia (2011)
Wen-Fu Lee, Tsung-Yi Lin, Mei-Lan Chu, Tai-Hsiang Huang, Homer H. Chen
Perception-based high dynamic range compression in gradient domain. ICIP (2009)