3 papers
cs.CV2026
REMAP: Regularized Matching and Partial Alignment of Video Embeddings
Soumyadeep Chandra, Kaushik Roy
Real-world instructional videos are long, noisy, and often contain extended background segments, repeated actions, and execution variability that do not correspond to meaningful pr…
cs.LG2026
2D-ThermAl: Physics-Informed Framework for Thermal Analysis of Circuits using Generative AI
Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Kaushik Roy
Thermal analysis is increasingly critical in modern integrated circuits, where non-uniform power dissipation and high transistor densities can cause rapid temperature spikes and re…
cs.CV2026
Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
Praditha Alwis, Soumyadeep Chandra, Deepak Ravikumar +1
High-quality video datasets are foundational for training robust models in tasks like action recognition, phase detection, and event segmentation. However, many real-world video da…