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)

Grad-CAM: Why did you say that? - Ramprasaath R. Selvaraju; Abhishek Das; Ramakrishna Vedantam; Michael Cogswell; Devi Parikh; Dhruv Batra (CoRR, 2016)

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. - Ashwin K. Vijayakumar; Michael Cogswell; Ramprasaath R. Selvaraju; Qing Sun 001; Stefan Lee; David J. Crandall; Dhruv Batra (CoRR, 2016)

Counting Everyday Objects in Everyday Scenes. - Prithvijit Chattopadhyay; Ramakrishna Vedantam; Ramprasaath R. Selvaraju; Dhruv Batra; Devi Parikh (CVPR, 2017)

Diverse Beam Search for Improved Description of Complex Scenes. - Ashwin K. Vijayakumar; Michael Cogswell; Ramprasaath R. Selvaraju; Qing Sun 001; Stefan Lee; David J. Crandall; Dhruv Batra (AAAI, 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 (ECCV (13), 2018)

Trick or TReAT : Thematic Reinforcement for Artistic Typography. - Purva Tendulkar; Kalpesh Krishna; Ramprasaath R. Selvaraju; Devi Parikh (ICCC, 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 (ICCV, 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)

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 (CVPR, 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)

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. - Ramprasaath R. Selvaraju; Michael Cogswell; Abhishek Das; Ramakrishna Vedantam; Devi Parikh; Dhruv Batra (Int. J. Comput. Vis., 2020)

Explaining model decisions and fixing them via human feedback. - Ramprasaath Ramasamy Selvaraju (2020)

CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. - Ramprasaath R. Selvaraju; Karan Desai; Justin Johnson 001; Nikhil Naik (CVPR, 2021)

SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency. - Sameer Dharur; Purva Tendulkar; Dhruv Batra; Devi Parikh; Ramprasaath R. Selvaraju (NAACL-HLT, 2021)

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. - Junnan Li 001; Ramprasaath R. Selvaraju; Akhilesh Gotmare; Shafiq R. Joty; Caiming Xiong; Steven Chu-Hong Hoi (NeurIPS, 2021)

CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations. - Aman Shrivastava; Ramprasaath R. Selvaraju; Nikhil Naik; Vicente Ordonez (CoRR, 2021)

TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation. - Jun Wang 090; Mingfei Gao; Yuqian Hu; Ramprasaath R. Selvaraju; Chetan Ramaiah; Ran Xu 001; Joseph F. JáJá; Larry Davis 001 (BMVC, 2022)

Can domain adaptation make object recognition work for everyone? - Viraj Prabhu; Ramprasaath R. Selvaraju; Judy Hoffman; Nikhil Naik (CVPR Workshops, 2022)

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. - Aman Shrivastava; Ramprasaath R. Selvaraju; Nikhil Naik; Vicente Ordonez (AISTATS, 2023)

PreViTS: Contrastive Pretraining with Video Tracking Supervision. - Brian Chen 001; Ramprasaath R. Selvaraju; Shih-Fu Chang; Juan Carlos Niebles; Nikhil Naik (WACV, 2023)