2 papers
cs.CV2025
MoCLIP-Lite: Efficient Video Recognition by Fusing CLIP with Motion Vectors
Binhua Huang, Ni Wang, Arjun Pakrashi +1
Video action recognition is a fundamental task in computer vision, but state-of-the-art models are often computationally expensive and rely on extensive video pre-training. In para…
cs.LG2025
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks
Gabriele Sanguin, Arjun Pakrashi, Marco Viola +1
Handling uncertainty is critical for ensuring reliable decision-making in intelligent systems. Modern neural networks are known to be poorly calibrated, resulting in predicted conf…