Ramprasaath R. Selvaraju

According to our database1, Ramprasaath R. Selvaraju authored at least 20 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
PreViTS: Contrastive Pretraining with Video Tracking Supervision.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Can domain adaptation make object recognition work for everyone?
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.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations.
CoRR, 2021

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization.
Int. J. Comput. Vis., 2020

SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions.
CoRR, 2020

SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions.
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.
CoRR, 2019

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Trick or TReAT : Thematic Reinforcement for Artistic Typography.
Proceedings of the Tenth International Conference on Computational Creativity, 2019

2018
Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance.
Proceedings of the Computer Vision - ECCV 2018, 2018

Diverse Beam Search for Improved Description of Complex Scenes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Counting Everyday Objects in Everyday Scenes.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.
CoRR, 2016

Grad-CAM: Why did you say that?
CoRR, 2016

Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization.
CoRR, 2016


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