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Multi-Task Self-Training for Learning General Representations


Aug 25, 2021
Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin

* ICCV 2021 

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


Aug 20, 2021
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai

* To appear at ICCV 2021(IEEE/CVF International Conference on Computer Vision) 

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Learning Open-World Object Proposals without Learning to Classify


Aug 15, 2021
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo


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


Jul 01, 2021
Lin Yen-Chen, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin

* Accepted to ICRA 2020. Porject page: http://yenchenlin.me/vision2action/ 

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Simple Training Strategies and Model Scaling for Object Detection


Jun 30, 2021
Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin

* 8 pages 

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Single Image Texture Translation for Data Augmentation


Jun 25, 2021
Boyi Li, Yin Cui, Tsung-Yi Lin, Serge Belongie


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Zero-Shot Detection via Vision and Language Knowledge Distillation


Apr 28, 2021
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui


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Revisiting ResNets: Improved Training and Scaling Strategies


Mar 13, 2021
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph


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Bottleneck Transformers for Visual Recognition


Jan 27, 2021
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani

* Technical Report, 20 pages, 13 figures, 19 tables 

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Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation


Dec 13, 2020
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph


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iNeRF: Inverting Neural Radiance Fields for Pose Estimation


Dec 10, 2020
Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

* Website: http://yenchenlin.me/inerf/ 

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Efficient Scale-Permuted Backbone with Learned Resource Distribution


Oct 22, 2020
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc Le, Xiaodan Song

* ECCV2020 

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SoDA: Multi-Object Tracking with Soft Data Association


Aug 19, 2020
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov


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


Jul 26, 2020
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai

* ECCV 2020 (Spotlight) 

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Rethinking Pre-training and Self-training


Jun 11, 2020
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le


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Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos


Apr 11, 2020
Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova


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SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization


Dec 10, 2019
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song


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


Dec 02, 2019
Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adams, Quoc V. Le

* 10 pages, 7 figures 

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Learning Data Augmentation Strategies for Object Detection


Jun 26, 2019
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le


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


Apr 16, 2019
Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le

* Accepted at CVPR 2019 

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ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors


Apr 05, 2019
Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin


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Class-Balanced Loss Based on Effective Number of Samples


Jan 16, 2019
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie

* Code is available at: https://github.com/richardaecn/class-balanced-loss 

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DropBlock: A regularization method for convolutional networks


Oct 30, 2018
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le

* Accepted at NIPS 2018 

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Focal Loss for Dense Object Detection


Feb 07, 2018
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár


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Feature Pyramid Networks for Object Detection


Apr 19, 2017
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie


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A MultiPath Network for Object Detection


Aug 08, 2016
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár


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Learning to Refine Object Segments


Jul 26, 2016
Pedro O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollàr

* extended version of ECCV camera-ready (figures 6-9 only in arXiv) 

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Microsoft COCO Captions: Data Collection and Evaluation Server


Apr 03, 2015
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollar, C. Lawrence Zitnick

* arXiv admin note: text overlap with arXiv:1411.4952 

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Microsoft COCO: Common Objects in Context


Feb 21, 2015
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollár

* 1) updated annotation pipeline description and figures; 2) added new section describing datasets splits; 3) updated author list 

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