Amil Dravid

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All published works

Action	Title	Year	Authors
+ PDF Chat	Interpreting the Weight Space of Customized Diffusion Models	2024	Amil Dravid Yossi Gandelsman Kuan-Chieh Wang Rameen Abdal Gordon Wetzstein Alexei A. Efros Kfir Aberman
+ PDF Chat	Rosetta Neurons: Mining the Common Units in a Model Zoo	2023	Amil Dravid Yossi Gandelsman Alexei A. Efros Assaf Shocher
+ PDF Chat	BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos	2023	Jennifer J. Sun Lili Karashchuk Amil Dravid Serim Ryou Sonia Fereidooni John C. Tuthill Aggelos K. Katsaggelos Bingni W. Brunton Georgia Gkioxari Ann R. Kennedy
+	DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels	2023	Yunan Wu Amil Dravid Ramsey M. Wehbe Aggelos K. Katsaggelos
+	Rosetta Neurons: Mining the Common Units in a Model Zoo	2023	Amil Dravid Yossi Gandelsman Alexei A. Efros Assaf Shocher
+	Idempotent Generative Network	2023	Assaf Shocher Amil Dravid Yossi Gandelsman Inbar Mosseri Michael Rubinstein Alexei A. Efros
+ PDF Chat	medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space	2022	Amil Dravid Florian Schiffers Boqing Gong Aggelos K. Katsaggelos
+ PDF Chat	Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes	2022	Amil Dravid Florian Schiffers Yunan Wu Oliver Cossairt Aggelos K. Katsaggelos
+	medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space	2022	Amil Dravid Florian Schiffers Boqing Gong Aggelos K. Katsaggelos
+	Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes	2022	Amil Dravid Florian Schiffers Yunan Wu Oliver Cossairt Aggelos K. Katsaggelos
+	BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos	2022	Jennifer J. Sun Pierre Karashchuk Amil Dravid Serim Ryou Sonia Fereidooni John C. Tuthill Aggelos K. Katsaggelos Bingni W. Brunton Georgia Gkioxari Ann R. Kennedy
+	Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks.	2021	Amil Dravid Aggelos K. Katsaggelos
+	Visual Explanations for Convolutional Neural Networks via Latent Traversal	2021	Amil Dravid Aggelos K. Katsaggelos
+	Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks	2021	Amil Dravid Aggelos K. Katsaggelos
+ PDF Chat	Interpretation of Brain Morphology in Association to Alzheimer’s Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes	2020	Emanuel A. Azcona Pierre Besson Yunan Wu Arjun Punjabi Adam Martersteck Amil Dravid Todd B. Parrish S. Kathleen Bandt Aggelos K. Katsaggelos

Common Coauthors

Coauthor	Papers Together
Aggelos K. Katsaggelos	11
Yunan Wu	4
Alexei A. Efros	4
Florian Schiffers	4
Yossi Gandelsman	4
Assaf Shocher	3
Serim Ryou	2
Pietro Perona	2
John C. Tuthill	2
Sonia Fereidooni	2
Oliver Cossairt	2
Georgia Gkioxari	2
Jennifer J. Sun	2
Boqing Gong	2
Bingni W. Brunton	2
Ann R. Kennedy	2
Lili Karashchuk	1
Yisong Yue	1
Gordon Wetzstein	1
Pierre Besson	1
Michael Rubinstein	1
Kfir Aberman	1
Adam Martersteck	1
Kuan-Chieh Wang	1
S. Kathleen Bandt	1
Emanuel A. Azcona	1
Inbar Mosseri	1
Ramsey M. Wehbe	1
Arjun Punjabi	1
Todd B. Parrish	1
Rameen Abdal	1
Yisong Yue	1
Pierre Karashchuk	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Explaining in Style: Training a GAN to explain a classifier in StyleSpace	2021	Oran Lang Yossi Gandelsman Michal Yarom Yoav Wald Gal Elidan Avinatan Hassidim William T. Freeman Phillip Isola Amir Globerson Michal Irani	2
+ PDF Chat	Image Generation From Small Datasets via Batch Statistics Adaptation	2019	Atsuhiro Noguchi Tatsuya Harada	2
+	NIPS 2016 Tutorial: Generative Adversarial Networks	2017	Ian Goodfellow	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Training Generative Adversarial Networks with Limited Data	2020	Tero Karras Miika Aittala Janne Hellsten Samuli Laine Jaakko Lehtinen Timo Aila	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2019	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+	Conditional Image Synthesis With Auxiliary Classifier GANs	2016	Augustus Odena Christopher Olah Jonathon Shlens	2
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	2
+ 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
+ PDF Chat	3D Human Pose Estimation = 2D Pose Estimation + Matching	2017	Ching-Hang Chen Deva Ramanan	1
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	1
+ PDF Chat	A Simple Yet Effective Baseline for 3d Human Pose Estimation	2017	Julieta Martínez Rayat Hossain Javier Romero James J. Little	1
+ PDF Chat	Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks	2019	Arjun Punjabi Adam Martersteck Yanran Wang Todd B. Parrish Aggelos K. Katsaggelos	1
+	Representation is representation of similarities	1998	Shimon Edelman	1
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	1
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	1
+ PDF Chat	Generating 3D Faces Using Convolutional Mesh Autoencoders	2018	Anurag Ranjan Timo Bolkart Soubhik Sanyal Michael J. Black	1
+ PDF Chat	Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease	2018	Sarah Parisot Sofia Ira Ktena Enzo Ferrante Matthew Lee Ricardo Guerrero Ben Glocker Daniel Rueckert	1
+ PDF Chat	Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks	2018	Hoo-Chang Shin Neil Tenenholtz Jameson K. Rogers Christopher G. Schwarz Matthew L. Senjem Jeffrey L. Gunter Katherine P. Andriole Mark Michalski	1
+ PDF Chat	Generative adversarial network in medical imaging: A review	2019	Yi Xin Ekta Walia Paul Babyn	1
+ PDF Chat	Integral Human Pose Regression	2018	Xiao Sun Bin Xiao Fangyin Wei Shuang Liang Yichen Wei	1
+	Data Augmentation Using GANs	2019	Fabio Henrique Kiyoiti dos Santos Tanaka Claus Aranha	1
+	Similarity of Neural Network Representations Revisited	2019	Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton	1
+	Learning a Conditional Generative Model for Anatomical Shape Analysis	2019	Benjamín Gutiérrez-Becker Christian Wachinger	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Unsupervised Learning of Object Landmarks through Conditional Image Generation	2018	Tomáš Jakab Ankush Gupta Hakan Bilen Andrea Vedaldi	1
+	Learning recurrent representations for hierarchical behavior modeling	2016	Eyrún Eyjólfsdóttir Kristin Branson Yisong Yue Pietro Perona	1
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	1
+	Cortical variability and asymmetry in normal aging and Alzheimer's disease	1998	Paul M. Thompson	1
+	Latent Space Non-Linear Statistics	2018	Line Kühnel Tom Fletcher Sarang Joshi Stefan Sommer	1
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	1
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	1
+ PDF Chat	GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification	2018	Maayan Frid-Adar Idit Diamant Eyal Klang Michal Marianne Amitai Jacob Goldberger Hayit Greenspan	1
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	1
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	1
+	Twin Auxiliary Classifiers GAN	2019	Mingming Gong Yanwu Xu Chunyuan Li Kun Zhang Kayhan Batmanghelich	1
+ PDF Chat	3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training	2019	Dario Pavllo Christoph Feichtenhofer David Grangier Michael Auli	1
+ PDF Chat	Geodesic Convolutional Neural Networks on Riemannian Manifolds	2015	Jonathan Masci Davide Boscaini Michael M. Bronstein Pierre Vandergheynst	1
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+ PDF Chat	A Three-Player GAN: Generating Hard Samples to Improve Classification Networks	2019	Simon Vandenhende Bert De Brabandere Davy Neven Luc Van Gool	1
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	1
+ PDF Chat	Unsupervised Discovery of Object Landmarks as Structural Representations	2018	Yuting Zhang Yijie Guo Yixin Jin Yijun Luo Zhiyuan He Honglak Lee	1
+ PDF Chat	Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry	2019	Muhammed Kocabas Salih Karagoz Emre Akbaş	1
+ PDF Chat	V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map	2018	Ju Yong Chang Gyeongsik Moon Kyoung Mu Lee	1
+	Do ImageNet Classifiers Generalize to ImageNet?	2019	Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar	1
+ PDF Chat	Transferring GANs: Generating Images from Limited Data	2018	Yaxing Wang Chenshen Wu Luis Herranz Joost van de Weijer Abel González-García Bogdan Raducanu	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+	Sanity Checks for Saliency Maps	2018	Julius Adebayo Justin Gilmer Michael Muelly Ian Goodfellow Moritz Hardt Been Kim	1