Babak Samari

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs 2017 Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
Michael M. Bronstein
4
+ Semi-Supervised Classification with Graph Convolutional Networks 2016 Thomas Kipf
Max Welling
4
+ Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
3
+ PDF Chat Relation Networks for Object Detection 2018 Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
3
+ Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering 2016 Michaël Defferrard
Xavier Bresson
Pierre Vandergheynst
3
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
3
+ PDF Chat Neural Motifs: Scene Graph Parsing with Global Context 2018 Rowan Zellers
Mark Yatskar
Sam Thomson
Yejin Choi
3
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
3
+ PDF Chat Scene Graph Generation by Iterative Message Passing 2017 Danfei Xu
Yuke Zhu
Christopher Choy
Li Fei-Fei
3
+ PDF Chat The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains 2013 David I Shuman
Sunil K. Narang
Pascal Frossard
Antonio Ortega
Pierre Vandergheynst
2
+ 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
2
+ Spectral Graph Theory 1996 Fan Chung
2
+ Inductive Representation Learning on Large Graphs 2017 William L. Hamilton
Rex Ying
Jure Leskovec
2
+ PDF Chat Squeeze-and-Excitation Networks 2018 Jie Hu
Li Shen
Gang Sun
2
+ Graph Attention Networks 2017 Petar Veličković
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Píetro Lió
Yoshua Bengio
2
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
2
+ PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2016 Charles R. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
2
+ PDF Chat Adaptive Graph Convolutional Neural Networks 2018 Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
2
+ PDF Chat Non-local Neural Networks 2018 Xiaolong Wang
Ross Girshick
Abhinav Gupta
Kaiming He
2
+ PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 2017 Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
2
+ PDF Chat SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation 2017 Li Yi
Hao Su
Xingwen Guo
Leonidas Guibas
2
+ PDF Chat Local Spectral Graph Convolution for Point Set Feature Learning 2018 Chu Wang
Babak Samari
Kaleem Siddiqi
2
+ Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks 2018 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Andrea Vedaldi
2
+ Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2015 Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
1
+ PDF Chat Volumetric and Multi-view CNNs for Object Classification on 3D Data 2016 Charles R. Qi
Hao Su
Matthias NieBner
Angela Dai
Mengyuan Yan
Leonidas Guibas
1
+ PDF Chat Affinity Graph Supervision for Visual Recognition 2020 Chu Wang
Babak Samari
Vladimir G. Kim
Siddhartha Chaudhuri
Kaleem Siddiqi
1
+ PDF Chat Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images 2020 Charles-Olivier Dufresne Camaro
Morteza Rezanejad
Stavros Tsogkas
Kaleem Siddiqi
Sven Dickinson
1
+ Spectral Graph Theory 1996 Fan Chung
1
+ Inductive Representation Learning on Large Graphs 2017 William L. Hamilton
Rex Ying
Jure Leskovec
1
+ PDF Chat Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
1
+ Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering 2016 Michaël Defferrard
Xavier Bresson
Pierre Vandergheynst
1
+ PDF Chat Point Set Registration: Coherent Point Drift 2010 Andriy Myronenko
Xubo Song
1
+ Graph Attention Networks 2017 Petar Veličković
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Píetro Lió
Yoshua Bengio
1
+ Attention Is All You Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
1
+ PDF Chat ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes 2017 Angela Dai
Anne Lynn S. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
1
+ Semi-Supervised Classification with Graph Convolutional Networks 2016 Thomas Kipf
Max Welling
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition 2017 Chu Wang
Marcello Pelillo
Kaleem Siddiqi
1
+ Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks 2018 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Andrea Vedaldi
1
+ Network In Network 2013 Min Lin
Qiang Chen
Shuicheng Yan
1
+ Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations 2016 Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
Joshua Kravitz
Stephanie Chen
Yannis Kalantidis
Li-Jia Li
David A. Shamma
1
+ ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes 2017 Angela Dai
Anne Lynn S. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
1
+ PDF Chat Multi-view Convolutional Neural Networks for 3D Shape Recognition 2015 Hang Su
Subhransu Maji
Evangelos Kalogerakis
Erik Learned-Miller
1
+ Multi-view Convolutional Neural Networks for 3D Shape Recognition 2015 Hang Su
Subhransu Maji
Evangelos Kalogerakis
Erik Learned-Miller
1