From the 1 of 6 linked papers with an AI index.
5 citations · 5 across the 3 of their papers we have counts for
6 papers
FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding
Ghazal Kaviani, Ghassan AlRegib
The paper introduces FORGE, a training-free method that selects a diverse set of query-relevant video frames at inference by shaping a query‑conditioned geometry in a pretrained mu…
Hierarchical and Multimodal Data for Daily Activity Understanding
Ghazal Kaviani, Yavuz Yarici, Seulgi Kim +4
Daily Activity Recordings for Artificial Intelligence (DARai, pronounced "Dahr-ree") is a multimodal, hierarchically annotated dataset constructed to understand human activities in…
A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking
Prithwijit Chowdhury, Ahmad Mustafa, Mohit Prabhushankar +1
In geophysics, hydrocarbon prospect risking involves assessing the risks associated with hydrocarbon exploration by integrating data from various sources. Machine learning-based cl…
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
Jorge Quesada, Chen Zhou, Prithwijit Chowdhury +5
Machine learning has taken a critical role in seismic interpretation workflows, especially in fault delineation tasks. However, despite the recent proliferation of pretrained model…
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
A key factor in effective Self-Supervised learning (SSL) is preventing dimensional collapse, where higher-dimensional representation spaces () span a lower-dimensional subspace.…
Multi-level and Multi-modal Action Anticipation
Seulgi Kim, Ghazal Kaviani, Mohit Prabhushankar +1
Action anticipation, the task of predicting future actions from partially observed videos, is crucial for advancing intelligent systems. Unlike action recognition, which operates o…