Ramprasaath R. Selvaraju
9 papers · 2017–2023 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🔥 Unstoppable · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(4)
Computer Vision
(4)
Machine Learning
(4)
Core AI · Artificial Intelligence
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Analysis
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Natural Language Processing
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Vision
(1)
Core AI · Computer Vision
(1)
Generation
(1)
Techniques
(1)
Keywords
contrastive learning
(4)
visual question answering
(3)
visual grounding
(3)
self-supervised learning
(2)
attention mechanism
(2)
scene understanding
(2)
model consistency
(2)
object counting
(1)
convolutional neural network
(1)
image-text retrieval
(1)
self-supervised representation
(1)
zero-shot classification
(1)
text supervision
(1)
video representation
(1)
human demonstration
(1)
attention alignment
(1)
image cropping
(1)
gradient-based importance
(1)
reasoning question
(1)
perception question
(1)
Papers
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
AISTATS 2023
PreViTS: Contrastive Pretraining With Video Tracking Supervision
WACV 2023
CASTing Your Model: Learning To Localize Improves Self-Supervised Representations
CVPR 2021
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency
NAACL 2021
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions
CVPR 2020
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
ICCV 2019
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
ECCV 2018
Counting Everyday Objects in Everyday Scenes
CVPR 2017
Grad-CAM: Visual Explanations From Deep Networks via Gradient-Based Localization
ICCV 2017