Ramprasaath R. Selvaraju

According to our database, Ramprasaath R. Selvaraju authored at least 21 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PreViTS: Contrastive Pretraining with Video Tracking Supervision.

Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision.

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Can domain adaptation make object recognition work for everyone?

Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation.

Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JáJá, Larry Davis

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations.

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez

CoRR, 2021

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.

Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency.

Sameer Dharur, Purva Tendulkar, Dhruv Batra, Devi Parikh, Ramprasaath R. Selvaraju

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CASTing Your Model: Learning To Localize Improves Self-Supervised Representations.

Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Explaining model decisions and fixing them via human feedback.

Ramprasaath Ramasamy Selvaraju

PhD thesis, 2020

SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions.

Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar

CoRR, 2020

SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions.

Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded.

Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Dhruv Batra, Devi Parikh

CoRR, 2019

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded.

Ramprasaath Ramasamy Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry P. Heck, Dhruv Batra, Devi Parikh

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Trick or TReAT : Thematic Reinforcement for Artistic Typography.

Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh

Proceedings of the Tenth International Conference on Computational Creativity, 2019

2018

Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance.

Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee

Proceedings of the Computer Vision - ECCV 2018, 2018

Diverse Beam Search for Improved Description of Complex Scenes.

Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization.

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra

Proceedings of the IEEE International Conference on Computer Vision, 2017

Counting Everyday Objects in Everyday Scenes.

Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.

Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra

CoRR, 2016

Grad-CAM: Why did you say that?

Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra

CoRR, 2016

Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization.

Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra

CoRR, 2016