Tianqin Li

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Category-specific object reconstruction from a single image 2015 Abhishek Kar
Shubham Tulsiani
JoĂŁo Carreira
Jitendra Malik
1
+ PDF Chat 3D ShapeNets: A deep representation for volumetric shapes 2015 Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
1
+ PDF Chat HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere 2005 K. M. Górski
E. Hivon
A. J. Banday
B. D. Wandelt
F. K. Hansen
M. Reinecke
Matthias Bartelmann
1
+ 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
1
+ Computing Fourier Transforms and Convolutions on the 2-Sphere 1994 James R. Driscoll
D.M. Healy
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction 2016 Christopher Choy
Danfei Xu
JunYoung Gwak
Kai Chen
Silvio Savarese
1
+ Instance Normalization: The Missing Ingredient for Fast Stylization 2016 Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
1
+ Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling 2016 Jiajun Wu
Chengkai Zhang
Tianfan Xue
William T. Freeman
Joshua B. Tenenbaum
1
+ PDF Chat A Point Set Generation Network for 3D Object Reconstruction from a Single Image 2017 Haoqiang Fan
Hao Su
Leonidas Guibas
1
+ Deep and Hierarchical Implicit Models. 2017 Dustin Tran
Rajesh Ranganath
David M. Blei
1
+ PDF Chat Hierarchical Surface Prediction for 3D Object Reconstruction 2017 Christian Häne
Shubham Tulsiani
Jitendra Malik
1
+ MarrNet: 3D Shape Reconstruction via 2.5D Sketches 2017 Jiajun Wu
Yifan Wang
Tianfan Xue
Xingyuan Sun
William T. Freeman
Joshua B. Tenenbaum
1
+ Representation Learning with Contrastive Predictive Coding 2018 Aäron van den Oord
Yazhe Li
Oriol Vinyals
1
+ PDF Chat Multiresolution Tree Networks for 3D Point Cloud Processing 2018 Matheus Gadelha
Rui Wang
Subhransu Maji
1
+ PDF Chat Deep Clustering for Unsupervised Learning of Visual Features 2018 Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
1
+ Learning to Reconstruct Shapes from Unseen Classes 2018 Xiuming Zhang
Zhoutong Zhang
Chengkai Zhang
Joshua B. Tenenbaum
William T. Freeman
Jiajun Wu
1
+ Wasserstein Dependency Measure for Representation Learning 2019 Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aäron van den Oord
Sergey Levine
Pierre Sermanet
1
+ PDF Chat DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction 2019 Qiangeng Xu
Weiyue Wang
Duygu Ceylan
Radomír Měch
Ulrich Neumann
1
+ GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects 2019 Edward J. Smith
Scott Fujimoto
Adriana Romero
David Meger
1
+ Learning Representations and Generative Models for 3D Point Clouds 2017 Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas Guibas
1
+ Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision 2016 Xinchen Yan
Shuicheng Yan
Ersin Yumer
Yijie Guo
Honglak Lee
1
+ Disjoint Mapping Network for Cross-modal Matching of Voices and Faces 2018 Yandong Wen
Mahmoud Al Ismail
Weiyang Liu
Bhiksha Raj
Rita Singh
1
+ Multiresolution Tree Networks for 3D Point Cloud Processing. 2018 Matheus Gadelha
Rui Wang
Subhransu Maji
1
+ Deep Contextualized Word Representations 2018 Matthew E. Peters
Mark E Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
1
+ PDF Chat Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images 2018 Nanyang Wang
Yinda Zhang
Zhuwen Li
Yanwei Fu
Wei Liu
Yu–Gang Jiang
1
+ PDF Chat Revisiting Unreasonable Effectiveness of Data in Deep Learning Era 2017 Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
1
+ PDF Chat Learning Implicit Fields for Generative Shape Modeling 2019 Zhiqin Chen
Hao Zhang
1
+ PDF Chat MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image 2019 Jinglu Wang
Bo Sun
Yan Lu
1
+ Improved Techniques for Training GANs 2016 Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
1
+ PDF Chat 3D Object Classification via Spherical Projections 2017 Zhangjie Cao
Qixing Huang
Karthik Ramani
1
+ PDF Chat DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation 2019 Jeong Joon Park
Pete Florence
Julian Straub
Richard Newcombe
Steven Lovegrove
1
+ PDF Chat Exploring the Limits of Weakly Supervised Pretraining 2018 Dhruv Mahajan
Ross Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin Bharambe
Laurens van der Maaten
1
+ PDF Chat Learning Category-Specific Mesh Reconstruction from Image Collections 2018 Angjoo Kanazawa
Shubham Tulsiani
Alexei A. Efros
Jitendra Malik
1
+ PDF Chat Occupancy Networks: Learning 3D Reconstruction in Function Space 2019 Lars Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
1
+ PDF Chat Learning a Predictable and Generative Vector Representation for Objects 2016 Rohit Girdhar
David F. Fouhey
Mikel RodrĂ­guez
Abhinav Gupta
1
+ Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer 2019 Wenzheng Chen
Jun Gao
Huan Ling
Edward J. Smith
Jaakko Lehtinen
Alec Jacobson
Sanja Fidler
1
+ Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer 2019 Wenzheng Chen
Huan Ling
Jun Gao
Edward J. Smith
Jaakko Lehtinen
Alec Jacobson
Sanja Fidler
1
+ DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction 2019 Qiangeng Xu
Weiyue Wang
Duygu Ceylan
Radomír Měch
Ulrich Neumann
1
+ Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations 2019 Vincent Sitzmann
Michael ZollhĂśfer
Gordon Wetzstein
1
+ PDF Chat Deep Geometric Prior for Surface Reconstruction 2019 Francis Williams
Teseo Schneider
Claudio Silva
Denis Zorin
Joan Bruna
Daniele Panozzo
1
+ PDF Chat wav2vec: Unsupervised Pre-Training for Speech Recognition 2019 Steffen Schneider
Alexei Baevski
Ronan Collobert
Michael Auli
1
+ PDF Chat 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions 2019 Dongwook Shu
Sungwoo Park
Junseok Kwon
1
+ PDF Chat Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning 2019 Shichen Liu
Weikai Chen
Tianye Li
Hao Li
1
+ Adversarial Generation of Continuous Implicit Shape Representations 2020 Marian Kleineberg
Matthias Fey
Frank Weichert
1
+ Prototypical Contrastive Learning of Unsupervised Representations 2020 Junnan Li
Pan Zhou
Caiming Xiong
Richard Socher
Steven C. H. Hoi
1
+ PDF Chat DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing 2020 Shaohui Liu
Yinda Zhang
Songyou Peng
Boxin Shi
Marc Pollefeys
Zhaopeng Cui
1
+ PDF Chat SAL: Sign Agnostic Learning of Shapes From Raw Data 2020 Matan Atzmon
Yaron Lipman
1
+ PDF Chat Meshlet Priors for 3D Mesh Reconstruction 2020 Abhishek Badki
Orazio Gallo
Jan Kautz
Pradeep Sen
1
+ PDF Chat Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision 2020 Michael Niemeyer
Lars Mescheder
Michael Oechsle
Andreas Geiger
1