4 citations · 5 across the 5 of their papers we have counts for
4 papers · 1 filter
Position Aware Layer Queries for Test Time Training in Vision Language Models
Rajat Modi, Priyank Pathak, Xin Liang +1
Test-Time Training (TTT) adapts models to incoming test samples (e.g. out-of-distribution, (OOD)) when conventional fine-tuning is infeasible. Existing TTT methods for Vision-Langu…
Modern GLOM: Canonical locks that encode part-whole hierarchies
Rajat Modi, Yogesh Singh Rawat
One of the challenges in representational learning is how to encode part-whole hierarchies in a neural net. Prior works rely on flattening tree-like structures into string-like seq…
Forget, Anticipate and Adapt: Test Time Training for Long Videos
Rajat Modi, Sebastian Noel, Xin Liang +1
Test Time Training (TTT) is a mechanism in which a model adapts to an incoming test-sample by performing some self-supervised (SSL) task and updating its weights even during infere…
Sky2Ground: A Benchmark for Site Modeling under Varying Altitude
Zengyan Wang, Sirshapan Mitra, Rajat Modi +2
We introduce Sky2Ground, a three-view dataset designed for varying altitude camera localization, correspondence learning, and reconstruction. The dataset combines structured synthe…