Tsung-Yi Lin

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All published works
Action Title Year Authors
+ PDF Chat Edify 3D: Scalable High-Quality 3D Asset Generation 2024 NVIDIA
NULL AUTHOR_ID
Madhu Bala
Yin Cui
Yifan Ding
Yunhao Ge
Zekun Hao
Jon Hasselgren
J. B. Huffman
Jingyi Jin
+ PDF Chat ATT3D: Amortized Text-to-3D Object Synthesis 2023 Jonathan Lorraine
Kevin Xie
Xiaohui Zeng
Chen-Hsuan Lin
Towaki Takikawa
Nicholas Sharp
Tsung-Yi Lin
Ming-Yu Liu
Sanja Fidler
James M. Lucas
+ PDF Chat Magic3D: High-Resolution Text-to-3D Content Creation 2023 Chen-Hsuan Lin
Jun Gao
Luming Tang
Towaki Takikawa
Xiaohui Zeng
Xun Huang
Karsten Kreis
Sanja Fidler
Ming-Yu Liu
Tsung-Yi Lin
+ PDF Chat Vision Transformer for NeRF-Based View Synthesis from a Single Input Image 2023 Kai-En Lin
Lin Yen-Chen
Wei‐Sheng Lai
Tsung-Yi Lin
YiChang Shih
Ravi Ramamoorthi
+ PDF Chat SITTA: Single Image Texture Translation for Data Augmentation 2023 Boyi Li
Yin Cui
Tsung-Yi Lin
Serge Belongie
+ Motion-Conditioned Diffusion Model for Controllable Video Synthesis 2023 Tsai-Shien Chen
Chieh Hubert Lin
Hung-Yu Tseng
Tsung-Yi Lin
Ming–Hsuan Yang
+ ATT3D: Amortized Text-to-3D Object Synthesis 2023 Jonathan Lorraine
Kevin Xie
Xiaohui Zeng
Chen-Hsuan Lin
Towaki Takikawa
Nicholas Sharp
Tsung-Yi Lin
Ming-Yu Liu
Sanja Fidler
James M. Lucas
+ PDF Chat NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields 2022 Yen-Chen Lin
Pete Florence
Jonathan T. Barron
Tsung-Yi Lin
Alberto Rodríguez
Phillip Isola
+ PDF Chat Learning Open-World Object Proposals Without Learning to Classify 2022 Dahun Kim
Tsung-Yi Lin
Anelia Angelova
In So Kweon
Weicheng Kuo
+ A Unified Sequence Interface for Vision Tasks 2022 Ting Chen
Saurabh Saxena
Lala Li
Tsung-Yi Lin
David J. Fleet
Geoffrey E. Hinton
+ Vision Transformer for NeRF-Based View Synthesis from a Single Input Image 2022 Kai-En Lin
Yen-Chen Lin
Wei‐Sheng Lai
Tsung-Yi Lin
YiChang Shih
Ravi Ramamoorthi
+ Optimizing Anchor-based Detectors for Autonomous Driving Scenes 2022 Xianzhi Du
Wei-Chih Hung
Tsung-Yi Lin
+ NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields 2022 Yen-Chen Lin
Pete Florence
Jonathan T. Barron
Tsung-Yi Lin
Alberto Rodríguez
Phillip Isola
+ Magic3D: High-Resolution Text-to-3D Content Creation 2022 Chen-Hsuan Lin
Jun Gao
Luming Tang
Towaki Takikawa
Xiaohui Zeng
Xun Huang
Karsten Kreis
Sanja Fidler
Ming-Yu Liu
Tsung-Yi Lin
+ PDF Chat Scaling Open-Vocabulary Image Segmentation with Image-Level Labels 2022 Golnaz Ghiasi
Xiuye Gu
Yin Cui
Tsung-Yi Lin
+ PDF Chat Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image 2021 Weicheng Kuo
Anelia Angelova
Tsung-Yi Lin
Angela Dai
+ PDF Chat Multi-Task Self-Training for Learning General Representations 2021 Golnaz Ghiasi
Barret Zoph
Ekin D. Cubuk
Quoc V. Le
Tsung-Yi Lin
+ PDF Chat iNeRF: Inverting Neural Radiance Fields for Pose Estimation 2021 Yen-Chen Lin
Pete Florence
Jonathan T. Barron
Alberto Rodríguez
Phillip Isola
Tsung-Yi Lin
+ PDF Chat Multi-Task Self-Training for Learning General Representations 2021 Golnaz Ghiasi
Barret Zoph
Ekin D. Cubuk
Quoc V. Le
Tsung-Yi Lin
+ Single Image Texture Translation for Data Augmentation 2021 Boyi Li
Yin Cui
Tsung-Yi Lin
Serge Belongie
+ PDF Chat Bottleneck Transformers for Visual Recognition 2021 Aravind Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
+ PDF Chat Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation 2021 Golnaz Ghiasi
Yin Cui
Aravind Srinivas
Rui Qian
Tsung-Yi Lin
Ekin D. Cubuk
Quoc V. Le
Barret Zoph
+ Zero-Shot Detection via Vision and Language Knowledge Distillation. 2021 Xiuye Gu
Tsung-Yi Lin
Weicheng Kuo
Yin Cui
+ Bottleneck Transformers for Visual Recognition 2021 Aravind Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
+ Revisiting ResNets: Improved Training and Scaling Strategies 2021 Irwan Bello
William Fedus
Xianzhi Du
Ekin D. Cubuk
Aravind Srinivas
Tsung-Yi Lin
Jonathon Shlens
Barret Zoph
+ Learning to See before Learning to Act: Visual Pre-training for Manipulation 2021 Yen-Chen Lin
Andy Zeng
Shuran Song
Phillip Isola
Tsung-Yi Lin
+ Simple Training Strategies and Model Scaling for Object Detection 2021 Xianzhi Du
Barret Zoph
Wei-Chih Hung
Tsung-Yi Lin
+ Multi-Task Self-Training for Learning General Representations 2021 Golnaz Ghiasi
Barret Zoph
Ekin D. Cubuk
Quoc V. Le
Tsung-Yi Lin
+ Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image 2021 Weicheng Kuo
Anelia Angelova
Tsung-Yi Lin
Angela Dai
+ Open-vocabulary Object Detection via Vision and Language Knowledge Distillation 2021 Xiuye Gu
Tsung-Yi Lin
Weicheng Kuo
Yin Cui
+ A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation 2021 Wuyang Chen
Xianzhi Du
Fan Yang
Lucas Beyer
Xiaohua Zhai
Tsung-Yi Lin
Huizhong Chen
Jing Li
Xiaodan Song
Zhangyang Wang
+ Scaling Open-Vocabulary Image Segmentation with Image-Level Labels 2021 Golnaz Ghiasi
Xiuye Gu
Yin Cui
Tsung-Yi Lin
+ Bottleneck Transformers for Visual Recognition 2021 Aravind Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
+ Learning Open-World Object Proposals without Learning to Classify 2021 Dahun Kim
Tsung-Yi Lin
Anelia Angelova
In So Kweon
Weicheng Kuo
+ SITTA: Single Image Texture Translation for Data Augmentation 2021 Boyi Li
Yin Cui
Tsung-Yi Lin
Serge Belongie
+ Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation 2020 Golnaz Ghiasi
Yin Cui
Aravind Srinivas
Rui Qian
Tsung-Yi Lin
Ekin D. Cubuk
Quoc V. Le
Barret Zoph
+ Rethinking Pre-training and Self-training 2020 Barret Zoph
Golnaz Ghiasi
Tsung-Yi Lin
Yin Cui
Hanxiao Liu
Ekin D. Cubuk
Quoc V. Le
+ PDF Chat MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices 2020 Bo Chen
Golnaz Ghiasi
Hanxiao Liu
Tsung-Yi Lin
Dmitry Kalenichenko
Hartwig Adam
Quoc V. Le
+ PDF Chat SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization 2020 Xianzhi Du
Tsung-Yi Lin
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Yin Cui
Quoc V. Le
Xiaodan Song
+ PDF Chat Learning to See before Learning to Act: Visual Pre-training for Manipulation 2020 Yen-Chen Lin
Andy Zeng
Shuran Song
Phillip Isola
Tsung-Yi Lin
+ Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos 2020 Ankita Pasad
Ariel Gordon
Tsung-Yi Lin
Anelia Angelova
+ Rethinking Pre-training and Self-training 2020 Barret Zoph
Golnaz Ghiasi
Tsung-Yi Lin
Yin Cui
Hanxiao Liu
Ekin D. Cubuk
Quoc V. Le
+ Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve 2020 Weicheng Kuo
Anelia Angelova
Tsung-Yi Lin
Angela Dai
+ SoDA: Multi-Object Tracking with Soft Data Association 2020 Wei-Chih Hung
Henrik Kretzschmar
Tsung-Yi Lin
Yuning Chai
Ruichi Yu
Ming–Hsuan Yang
Dragomir Anguelov
+ Efficient Scale-Permuted Backbone with Learned Resource Distribution 2020 Xianzhi Du
Tsung-Yi Lin
Pengchong Jin
Yin Cui
Mingxing Tan
Quoc V. Le
Xiaodan Song
+ PDF Chat Efficient Scale-Permuted Backbone with Learned Resource Distribution 2020 Xianzhi Du
Tsung-Yi Lin
Pengchong Jin
Yin Cui
Mingxing Tan
Quoc V. Le
Xiaodan Song
+ PDF Chat Learning Data Augmentation Strategies for Object Detection 2020 Barret Zoph
Ekin D. Cubuk
Golnaz Ghiasi
Tsung-Yi Lin
Jonathon Shlens
Quoc V. Le
+ PDF Chat Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve 2020 Weicheng Kuo
Anelia Angelova
Tsung-Yi Lin
Angela Dai
+ Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos 2020 Ankita Pasad
Ariel Gordon
Tsung-Yi Lin
Anelia Angelova
+ INeRF: Inverting Neural Radiance Fields for Pose Estimation 2020 Yen-Chen Lin
Pete Florence
Jonathan T. Barron
Alberto Rodríguez
Phillip Isola
Tsung-Yi Lin
+ Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation 2020 Golnaz Ghiasi
Yin Cui
Aravind Srinivas
Rui Qian
Tsung-Yi Lin
Ekin D. Cubuk
Quoc V. Le
Barret Zoph
+ PDF Chat ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors 2019 Weicheng Kuo
Anelia Angelova
Jitendra Malik
Tsung-Yi Lin
+ Learning Data Augmentation Strategies for Object Detection 2019 Barret Zoph
Ekin D. Cubuk
Golnaz Ghiasi
Tsung-Yi Lin
Jonathon Shlens
Quoc V. Le
+ PDF Chat Class-Balanced Loss Based on Effective Number of Samples 2019 Yin Cui
Menglin Jia
Tsung-Yi Lin
Yang Song
Serge Belongie
+ PDF Chat NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection 2019 Golnaz Ghiasi
Tsung-Yi Lin
Quoc V. Le
+ NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection 2019 Golnaz Ghiasi
Tsung-Yi Lin
Ruoming Pang
Quoc V. Le
+ Class-Balanced Loss Based on Effective Number of Samples 2019 Yin Cui
Menglin Jia
Tsung-Yi Lin
Yang Song
Serge Belongie
+ ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors 2019 Weicheng Kuo
Anelia Angelova
Jitendra Malik
Tsung-Yi Lin
+ MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices 2019 Bo Chen
Golnaz Ghiasi
Hanxiao Liu
Tsung-Yi Lin
Dmitry Kalenichenko
Hartwig Adams
Quoc V. Le
+ SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization 2019 Xianzhi Du
Tsung-Yi Lin
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Yin Cui
Quoc V. Le
Xiaodan Song
+ Learning Data Augmentation Strategies for Object Detection 2019 Barret Zoph
Ekin D. Cubuk
Golnaz Ghiasi
Tsung-Yi Lin
Jonathon Shlens
Quoc V. Le
+ NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection 2019 Golnaz Ghiasi
Tsung-Yi Lin
Ruoming Pang
Quoc V. Le
+ PDF Chat Focal Loss for Dense Object Detection 2018 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
+ DropBlock: A regularization method for convolutional networks 2018 Golnaz Ghiasi
Tsung-Yi Lin
Quoc V. Le
+ PDF Chat Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
+ PDF Chat Feature Pyramid Networks for Object Detection 2017 Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
+ Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
+ A MultiPath Network for Object Detection 2016 Sergey Zagoruyko
Adam Lerer
Tsung-Yi Lin
Pedro O. Pinheiro
Sam Gross
Soumith Chintala
Piotr Dollár
+ Learning to Refine Object Segments 2016 Pedro O. Pinheiro
Tsung-Yi Lin
Ronan Collobert
Piotr Dollár
+ Feature Pyramid Networks for Object Detection 2016 Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
+ A MultiPath Network for Object Detection 2016 Sergey Zagoruyko
Adam Lerer
Tsung-Yi Lin
PedroO. Pinheiro
Sam Gross
Soumith Chintala
Piotr Dollár
+ Learning to Refine Object Segments 2016 Pedro O. Pinheiro
Tsung-Yi Lin
Ronan Collobert
Piotr Dollár
+ A MultiPath Network for Object Detection 2016 Sergey Zagoruyko
Adam Lerer
Tsung-Yi Lin
Pedro O. Pinheiro
Sam Gross
Soumith Chintala
Piotr Dollár
+ Microsoft COCO Captions: Data Collection and Evaluation Server 2015 Xinlei Chen
Hao Fang
Tsung-Yi Lin
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollár
C. Lawrence Zitnick
+ Microsoft COCO: Common Objects in Context 2014 Tsung-Yi Lin
Michael Maire
Serge Belongie
Lubomir Bourdev
Ross Girshick
James Hays
Pietro Perona
Deva Ramanan
C. Lawrence Zitnick
Piotr Dollár
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
31
+ PDF Chat Feature Pyramid Networks for Object Detection 2017 Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
26
+ PDF Chat Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
18
+ SSD: Single Shot MultiBox Detector 2016 Wei Liu
Dragomir Anguelov
Dumitru Erhan
Christian Szegedy
Scott Reed
Cheng-Yang Fu
Alexander C. Berg
16
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
15
+ PDF Chat NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection 2019 Golnaz Ghiasi
Tsung-Yi Lin
Quoc V. Le
15
+ PDF Chat Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014 Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
14
+ EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 2019 Mingxing Tan
Quoc V. Le
12
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
10
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
9
+ PDF Chat Instance-Aware Semantic Segmentation via Multi-task Network Cascades 2016 Jifeng Dai
Kaiming He
Jian Sun
9
+ PDF Chat Momentum Contrast for Unsupervised Visual Representation Learning 2020 Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross Girshick
9
+ PDF Chat You Only Look Once: Unified, Real-Time Object Detection 2016 Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
9
+ PDF Chat Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors 2017 Jonathan Huang
Vivek Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara
Alireza Fathi
Ian Fischer
Zbigniew Wojna
Yang Song
Sergio Guadarrama
9
+ Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2015 Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
9
+ PDF Chat Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2016 Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
9
+ NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection 2019 Golnaz Ghiasi
Tsung-Yi Lin
Ruoming Pang
Quoc V. Le
9
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
8
+ OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks 2014 Pierre Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
8
+ PDF Chat EfficientDet: Scalable and Efficient Object Detection 2020 Mingxing Tan
Ruoming Pang
Quoc V. Le
8
+ PDF Chat Path Aggregation Network for Instance Segmentation 2018 Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
8
+ PDF Chat MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
8
+ Neural Architecture Search with Reinforcement Learning 2016 Barret Zoph
Quoc V. Le
7
+ PDF Chat The iNaturalist Species Classification and Detection Dataset 2018 Grant Van Horn
Oisin Mac Aodha
Yang Song
Yin Cui
Chen Sun
Alex Shepard
Hartwig Adam
Pietro Perona
Serge Belongie
7
+ Wide Residual Networks 2016 Sergey Zagoruyko
Nikos Komodakis
7
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
7
+ PDF Chat MnasNet: Platform-Aware Neural Architecture Search for Mobile 2019 Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew Howard
Quoc V. Le
7
+ PDF Chat Self-Training With Noisy Student Improves ImageNet Classification 2020 Qizhe Xie
Minh-Thang Luong
Eduard Hovy
Quoc V. Le
7
+ Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition 2014 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
7
+ PDF Chat Rethinking ImageNet Pre-Training 2019 Kaiming He
Ross Girshick
Piotr Dollár
7
+ Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour 2017 Priya Goyal
Piotr Dollár
Ross Girshick
Pieter Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
7
+ Learning to Segment Object Candidates 2015 Pedro O. Pinheiro
Ronan Collobert
Piotr Dollár
6
+ PDF Chat Aggregated Residual Transformations for Deep Neural Networks 2017 Saining Xie
Ross Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
6
+ YOLOv3: An Incremental Improvement. 2018 Joseph Redmon
Ali Farhadi
6
+ PDF Chat Occupancy Networks: Learning 3D Reconstruction in Function Space 2019 Lars Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
6
+ PDF Chat Squeeze-and-Excitation Networks 2018 Jie Hu
Li Shen
Gang Sun
6
+ PDF Chat Cascade R-CNN: Delving Into High Quality Object Detection 2018 Zhaowei Cai
Nuno Vasconcelos
6
+ PDF Chat Learning Transferable Architectures for Scalable Image Recognition 2018 Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
6
+ Regularized Evolution for Image Classifier Architecture Search 2019 Esteban Real
Alok Aggarwal
Yanping Huang
Quoc V. Le
6
+ Data-Efficient Image Recognition with Contrastive Predictive Coding 2019 Olivier J. Hénaff
Aravind Srinivas
Jeffrey De Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aäron van den Oord
6
+ PDF Chat LVIS: A Dataset for Large Vocabulary Instance Segmentation 2019 Agrim Gupta
Piotr Dollár
Ross Girshick
6
+ PDF Chat SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization 2020 Xianzhi Du
Tsung-Yi Lin
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Yin Cui
Quoc V. Le
Xiaodan Song
6
+ PDF Chat Squeeze-and-Excitation Networks 2019 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
6
+ An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 2020 Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
Thomas Unterthiner
Mostafa Dehghani
Matthias Minderer
Georg Heigold
Sylvain Gelly
6
+ PDF Chat Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation 2019 Chenxi Liu
Liang-Chieh Chen
Florian Schroff
Hartwig Adam
Wei Hua
Alan Yuille
Li Fei-Fei
6
+ PDF Chat Deep Networks with Stochastic Depth 2016 Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
6
+ A Simple Framework for Contrastive Learning of Visual Representations 2020 Ting Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
6
+ PDF Chat Hypercolumns for object segmentation and fine-grained localization 2015 Bharath Hariharan
Pablo Arbeláez
Ross Girshick
Jitendra Malik
5
+ PDF Chat Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 2018 Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
5
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
5