1 citations · 1 across the 4 of their papers we have counts for
4 papers
Action Without Interaction: Probing the Physical Foundations of Video LMMs via Contact-Release Detection
Daniel Harari, Michael Sidorov, Chen Shterental +3
Large multi-modal models (LMMs) show increasing performance in realistic visual tasks for images and, more recently, for videos. For example, given a video sequence, such models ar…
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
Shihab Aaqil Ahamed, Udaya S. K. P. Miriya Thanthrige, Ranga Rodrigo +1
Test-time prompt tuning (TPT) has emerged as a promising technique for adapting large vision-language models (VLMs) to unseen tasks without relying on labeled data. However, the la…
CrossVideoMAE: Self-Supervised Image-Video Representation Learning with Masked Autoencoders
Shihab Aaqil Ahamed, Malitha Gunawardhana, Liel David +3
Current video-based Masked Autoencoders (MAEs) primarily focus on learning effective spatiotemporal representations from a visual perspective, which may lead the model to prioritiz…
How Effective are Self-Supervised Models for Contact Identification in Videos
Malitha Gunawardhana, Limalka Sadith, Liel David +2
The exploration of video content via Self-Supervised Learning (SSL) models has unveiled a dynamic field of study, emphasizing both the complex challenges and unique opportunities i…