Tsung-Yi Lin

According to our database, Tsung-Yi Lin authored at least 55 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Motion-Conditioned Diffusion Model for Controllable Video Synthesis.

Tsai-Shien Chen, Chieh Hubert Lin, Hung-Yu Tseng, Tsung-Yi Lin, Ming-Hsuan Yang

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SIGGRAPH 2023 Course on Diffusion Models.

Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis

Proceedings of the ACM SIGGRAPH 2023 Courses, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Optimizing Anchor-based Detectors for Autonomous Driving Scenes.

Xianzhi Du, Wei-Chih Hung, Tsung-Yi Lin

CoRR, 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

A Unified Sequence Interface for Vision Tasks.

Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui

Proceedings of the Tenth International Conference on Learning Representations, 2022

SITTA: Single Image Texture Translation for Data Augmentation.

Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Scaling Open-Vocabulary Image Segmentation with Image-Level Labels.

Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Open-Vocabulary Image Segmentation.

Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin

CoRR, 2021

A Simple Single-Scale Vision Transformer for Object Localization 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

CoRR, 2021

Simple Training Strategies and Model Scaling for Object Detection.

Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin

CoRR, 2021

Single Image Texture Translation for Data Augmentation.

Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie

CoRR, 2021

Zero-Shot Detection via Vision and Language Knowledge Distillation.

Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image.

Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multi-Task Self-Training for Learning General Representations.

Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Bottleneck Transformers for Visual Recognition.

Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

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

SoDA: Multi-Object Tracking with Soft Data Association.

Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov

CoRR, 2020

Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos.

Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova

CoRR, 2020

Rethinking Pre-training and Self-training.

Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to See before Learning to Act: Visual Pre-training for Manipulation.

Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Data Augmentation Strategies for Object Detection.

Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le

Proceedings of the Computer Vision - ECCV 2020, 2020

Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve.

Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices.

Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le

CoRR, 2019

ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors.

Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Class-Balanced Loss Based on Effective Number of Samples.

Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

DropBlock: A regularization method for convolutional networks.

Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Collaborative Metric Learning.

Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin

Proceedings of the 26th International Conference on World Wide Web, 2017

Feature Pyramid Networks for Object Detection.

Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Cross-View Image Geo-localization.

Tsung-Yi Lin, Serge J. Belongie, James Hays

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2016

Learning to Refine Object Segments.

Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár

Proceedings of the Computer Vision - ECCV 2016, 2016

A MultiPath Network for Object Detection.

Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Microsoft COCO Captions: Data Collection and Evaluation Server.

Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick

CoRR, 2015

Learning deep representations for ground-to-aerial geolocalization.

Tsung-Yi Lin, Yin Cui, Serge J. Belongie, James Hays

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

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

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

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

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Cross-View Image Geolocalization.

Tsung-Yi Lin, Serge J. Belongie, James Hays

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

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

Proceedings of the 2011 IEEE International Workshop on Information Forensics and Security, 2011

Example-based human motion extrapolation based on manifold learning.

Nick C. Tang, Chiou-Ting Hsu, Tsung-Yi Lin, Hong-Yuan Mark Liao

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

2009

Perception-based high dynamic range compression in gradient domain.

Wen-Fu Lee, Tsung-Yi Lin, Mei-Lan Chu, Tai-Hsiang Huang, Homer H. Chen

Proceedings of the International Conference on Image Processing, 2009