926 citations · 1k across the 39 of their papers we have counts for
5 papers · 1 filter
Seeing Eye to AI: Comparing Human Gaze and Model Attention in Video Memorability
Prajneya Kumar, Eshika Khandelwal, Makarand Tapaswi +1
Understanding what makes a video memorable has important applications in advertising or education technology. Towards this goal, we investigate spatio-temporal attention mechanisms…
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen, Arsh Verma, Makarand Tapaswi +1
Real-world application of chest X-ray abnormality classification requires dealing with several challenges: (i) limited training data; (ii) training and evaluation sets that are der…
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
Dhaval Taunk, Lakshya Khanna, Pavan Kandru +3
Commonsense question-answering (QA) methods combine the power of pre-trained Language Models (LM) with the reasoning provided by Knowledge Graphs (KG). A typical approach collects…
How you feelin'? Learning Emotions and Mental States in Movie Scenes
Dhruv Srivastava, Aditya Kumar Singh, Makarand Tapaswi
Movie story analysis requires understanding characters' emotions and mental states. Towards this goal, we formulate emotion understanding as predicting a diverse and multi-label se…
Test of Time: Instilling Video-Language Models with a Sense of Time
Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek
Modelling and understanding time remains a challenge in contemporary video understanding models. With language emerging as a key driver towards powerful generalization, it is imper…