Ramprasaath R. Selvaraju

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All published works

Action	Title	Year	Authors
+ PDF Chat	PreViTS: Contrastive Pretraining with Video Tracking Supervision	2023	Brian Chen Ramprasaath R. Selvaraju Shih‐Fu Chang Juan Carlos Niebles Nikhil Naik
+ PDF Chat	Can domain adaptation make object recognition work for everyone?	2022	Viraj Prabhu Ramprasaath R. Selvaraju Judy Hoffman Nikhil Naik
+	Can domain adaptation make object recognition work for everyone?	2022	Viraj Prabhu Ramprasaath R. Selvaraju Judy Hoffman Nikhil Naik
+	TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation	2022	Jun Wang Mingfei Gao Yuqian Hu Ramprasaath R. Selvaraju Chetan Ramaiah Ran Xu Joseph F. JáJá Larry S. Davis
+ PDF Chat	CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations	2021	Aman Shrivastava Ramprasaath R. Selvaraju Nikhil Naik Vicente Ordóñez
+ PDF Chat	CASTing Your Model: Learning to Localize Improves Self-Supervised Representations	2021	Ramprasaath R. Selvaraju Karan Desai Justin Johnson Nikhil Naik
+ PDF Chat	SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency	2021	Sameer Dharur Purva Tendulkar Dhruv Batra Devi Parikh Ramprasaath R. Selvaraju
+	Align before Fuse: Vision and Language Representation Learning with Momentum Distillation	2021	Junnan Li Ramprasaath R. Selvaraju Akhilesh Gotmare Shafiq Joty Caiming Xiong Steven C. H. Hoi
+	PreViTS: Contrastive Pretraining with Video Tracking Supervision	2021	Brian Chen Ramprasaath R. Selvaraju Shih‐Fu Chang Juan Carlos Niebles Nikhil Naik
+	CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision	2021	Aman Shrivastava Ramprasaath R. Selvaraju Nikhil Naik Vicente Ordóñez
+	CASTing Your Model: Learning to Localize Improves Self-Supervised Representations	2020	Ramprasaath R. Selvaraju Karan Desai Justin Johnson Nikhil Naik
+	SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency	2020	Sameer Dharur Purva Tendulkar Dhruv Batra Devi Parikh Ramprasaath R. Selvaraju
+ PDF Chat	SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions	2020	Ramprasaath R. Selvaraju Purva Tendulkar Devi Parikh Eric Horvitz Marco Túlio Ribeiro Besmira Nushi Ece Kamar
+	SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions	2020	Ramprasaath R. Selvaraju Purva Tendulkar Devi Parikh Eric Horvitz Marco Ribeiro Besmira Nushi Ece Kamar
+	CASTing Your Model: Learning to Localize Improves Self-Supervised Representations	2020	Ramprasaath R. Selvaraju Karan Desai Justin C. Johnson Nikhil Naik
+	SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency	2020	Sameer Dharur Purva Tendulkar Dhruv Batra Devi Parikh Ramprasaath R. Selvaraju
+	SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions	2020	Ramprasaath R. Selvaraju Purva Tendulkar Devi Parikh Eric Horvitz Marco Ribeiro Besmira Nushi Ece Kamar
+ 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
+ PDF Chat	Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded	2019	Ramprasaath R. Selvaraju Stefan Lee Yilin Shen Hongxia Jin Shalini Ghosh Larry Heck Dhruv Batra Devi Parikh
+	Trick or TReAT: Thematic Reinforcement for Artistic Typography	2019	Purva Tendulkar Kalpesh Krishna Ramprasaath R. Selvaraju Devi Parikh
+	Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded	2019	Ramprasaath R. Selvaraju Stefan Lee Yilin Shen Hongxia Jin Shalini Ghosh Larry Heck Dhruv Batra Devi Parikh
+	Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance	2018	Ramprasaath R. Selvaraju Prithvijit Chattopadhyay Mohamed Elhoseiny Tilak Raj Sharma Dhruv Batra Devi Parikh Stefan Lee
+ PDF Chat	Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance	2018	Ramprasaath R. Selvaraju Prithvijit Chattopadhyay Mohamed Elhoseiny Tilak Raj Sharma Dhruv Batra Devi Parikh Stefan Lee
+	Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance	2018	Ramprasaath R. Selvaraju Prithvijit Chattopadhyay Mohamed Elhoseiny Tilak Raj Sharma Dhruv Batra Devi Parikh Stefan Lee
+ 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
+ PDF Chat	Counting Everyday Objects in Everyday Scenes	2017	Prithvijit Chattopadhyay Ramakrishna Vedantam Ramprasaath R. Selvaraju Dhruv Batra Devi Parikh
+	Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.	2016	Ashwin K. Vijayakumar Michael Cogswell Ramprasaath R. Selvaraju Qing Sun Stefan Lee David Crandall Dhruv Batra
+	Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization	2016	Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra
+	Counting Everyday Objects in Everyday Scenes	2016	Prithvijit Chattopadhyay Ramakrishna Vedantam Ramprasaath R. Selvaraju Dhruv Batra Devi Parikh
+	Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization	2016	Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra
+	Grad-CAM: Why did you say that?	2016	Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra
+	Counting Everyday Objects in Everyday Scenes	2016	Prithvijit Chattopadhyay Ramakrishna Vedantam Ramprasaath R. Selvaraju Dhruv Batra Devi Parikh

Common Coauthors

Coauthor	Papers Together
Devi Parikh	20
Dhruv Batra	17
Nikhil Naik	8
Ramakrishna Vedantam	8
Purva Tendulkar	7
Prithvijit Chattopadhyay	6
Stefan Lee	6
Michael Cogswell	6
Abhishek Das	5
Ece Kamar	3
Mohamed Elhoseiny	3
Besmira Nushi	3
Sameer Dharur	3
Tilak Raj Sharma	3
Eric Horvitz	3
Yilin Shen	2
Justin Johnson	2
Vicente Ordóñez	2
Aman Shrivastava	2
Larry Heck	2
Shih‐Fu Chang	2
Judy Hoffman	2
Shalini Ghosh	2
Juan Carlos Niebles	2
Hongxia Jin	2
Viraj Prabhu	2
Karan Desai	2
Akhilesh Gotmare	1
Shafiq Joty	1
Justin C. Johnson	1
Marco Túlio Ribeiro	1
Mingfei Gao	1
Caiming Xiong	1
Marco Ribeiro	1
Ashwin K. Vijayakumar	1
Brian Chen	1
Steven C. H. Hoi	1
Kalpesh Krishna	1
Joseph F. JáJá	1
Marco Ribeiro	1
Chetan Ramaiah	1
Junnan Li	1
Ran Xu	1
Qing Sun	1
Brian Chen	1
Karan Desai	1
Nikhil Naik	1
David Crandall	1
Jun Wang	1
Yuqian Hu	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	10
+ PDF Chat	VQA: Visual Question Answering	2015	Stanislaw Antol Aishwarya Agrawal Jiasen Lu Margaret Mitchell Dhruv Batra C. Lawrence Zitnick Devi Parikh	10
+ PDF Chat	Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded	2019	Ramprasaath R. Selvaraju Stefan Lee Yilin Shen Hongxia Jin Shalini Ghosh Larry Heck Dhruv Batra Devi Parikh	8
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	6
+ 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	6
+	VQA: Visual Question Answering	2015	Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. Lawrence Zitnick Dhruv Batra Devi Parikh	5
+ PDF Chat	Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?	2016	Abhishek Das Harsh Agrawal Larry Zitnick Devi Parikh Dhruv Batra	5
+	Analyzing the Behavior of Visual Question Answering Models	2016	Aishwarya Agrawal Dhruv Batra Devi Parikh	5
+	Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?	2017	Abhishek Das Harsh Agrawal Larry Zitnick Devi Parikh Dhruv Batra	5
+	Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization	2016	Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra	5
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	5
+	Exploring Human-like Attention Supervision in Visual Question Answering	2017	Tingting Qiao Jianfeng Dong D. S. Xu	5
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	5
+	Exploring models and data for image question answering	2015	Mengye Ren Ryan Kiros Richard S. Zemel	5
+ PDF Chat	Exploring Human-Like Attention Supervision in Visual Question Answering	2018	Tingting Qiao Jianfeng Dong Duanqing Xu	5
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	4
+ PDF Chat	Contrastive Multiview Coding	2020	Yonglong Tian Dilip Krishnan Phillip Isola	4
+ PDF Chat	Self-Supervised Learning of Pretext-Invariant Representations	2020	Ishan Misra Laurens van der Maaten	4
+	Improved Baselines with Momentum Contrastive Learning	2020	Xinlei Chen Haoqi Fan Ross Girshick Kaiming He	4
+ PDF Chat	Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering	2017	Yash Goyal Tejas Khot Douglas Summers-Stay Dhruv Batra Devi Parikh	4
+	Hierarchical Question-Image Co-Attention for Visual Question Answering	2016	Jiasen Lu Jianwei Yang Dhruv Batra Devi Parikh	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	4
+ PDF Chat	Deep visual-semantic alignments for generating image descriptions	2015	Andrej Karpathy Li Fei-Fei	4
+ PDF Chat	Unsupervised Embedding Learning via Invariant and Spreading Instance Feature	2019	Mang Ye Xu Zhang Pong C. Yuen Shih‐Fu Chang	4
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	4
+	Object Detectors Emerge in Deep Scene CNNs	2014	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	3
+	What Makes for Good Views for Contrastive Learning	2020	Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola	3
+ PDF Chat	CASTing Your Model: Learning to Localize Improves Self-Supervised Representations	2021	Ramprasaath R. Selvaraju Karan Desai Justin Johnson Nikhil Naik	3
+ PDF Chat	VirTex: Learning Visual Representations from Textual Annotations	2021	Karan Desai Justin Johnson	3
+	SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions	2020	Ramprasaath R. Selvaraju Purva Tendulkar Devi Parikh Eric Horvitz Marco Ribeiro Besmira Nushi Ece Kamar	3
+ PDF Chat	YFCC100M	2016	Bart Thomée David A. Shamma Gerald Friedland Benjamin Elizalde Karl Ni Douglas N. Poland Damian Borth Li-Jia Li	3
+	Big Self-Supervised Models are Strong Semi-Supervised Learners	2020	Ting Chen Simon Kornblith Kevin Swersky Mohammad Norouzi Geoffrey E. Hinton	3
+	Object-aware Contrastive Learning for Debiased Scene Representation	2021	Sangwoo Mo Hyunwoo Kang Kihyuk Sohn Chun‐Liang Li Jinwoo Shin	3
+ PDF Chat	DenseCap: Fully Convolutional Localization Networks for Dense Captioning	2016	Justin Johnson Andrej Karpathy Li Fei-Fei	3
+ PDF Chat	Yin and Yang: Balancing and Answering Binary Visual Questions	2016	Peng Zhang Yash Goyal Douglas Summers-Stay Dhruv Batra Devi Parikh	3
+ PDF Chat	Attention Correctness in Neural Image Captioning	2017	Chenxi Liu Junhua Mao Fei Sha Alan Yuille	3
+ PDF Chat	Top-Down Neural Attention by Excitation Backprop	2016	Jianming Zhang Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff	3
+ PDF Chat	Women Also Snowboard: Overcoming Bias in Captioning Models	2018	Lisa Anne Hendricks Kaylee Burns Kate Saenko Trevor Darrell Anna Rohrbach	3
+ PDF Chat	Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering	2018	Aishwarya Agrawal Dhruv Batra Devi Parikh Aniruddha Kembhavi	3
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	3
+ PDF Chat	Multimodal Explanations: Justifying Decisions and Pointing to the Evidence	2018	Dong Huk Park Lisa Anne Hendricks Zeynep Akata Anna Rohrbach Bernt Schiele Trevor Darrell Marcus Rohrbach	3
+ PDF Chat	Cycle-Consistency for Robust Visual Question Answering	2019	Meet Shah Xinlei Chen Marcus Rohrbach Devi Parikh	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	From captions to visual concepts and back	2015	Hao Fang Saurabh Gupta Forrest Iandola Rupesh K. Srivastava Li Deng Piotr Dollár Jianfeng Gao Xiaodong He Margaret Mitchell John Platt	3
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	3
+ PDF Chat	Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images	2015	Mateusz Malinowski Marcus Rohrbach Mario Fritz	3
+	Yin and Yang: Balancing and Answering Binary Visual Questions	2015	Peng Zhang Yash Goyal Douglas Summers-Stay Dhruv Batra Devi Parikh	3
+	Pythia v0.1: the Winning Entry to the VQA Challenge 2018	2018	Yu Jiang Vivek Natarajan Xinlei Chen Marcus Rohrbach Dhruv Batra Devi Parikh	3
+	Inverting Convolutional Networks with Convolutional Networks.	2015	Alexey Dosovitskiy Thomas Brox	2