2 citations · 3 across the 3 of their papers we have counts for
4 papers
Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit
Junqi Yin, Mijanur Palash, M. Paul Laiu +6
Turbulence plays a crucial role in multiphysics applications, including aerodynamics, fusion, and combustion. Accurately capturing turbulence's multiscale characteristics is essent…
SAFER: Situation Aware Facial Emotion Recognition
Mijanur Palash, Bharat Bhargava
In this paper, we present SAFER, a novel system for emotion recognition from facial expressions. It employs state-of-the-art deep learning techniques to extract various features fr…
Continuous Learning Based Novelty Aware Emotion Recognition System
Mijanur Palash, Bharat Bhargava
Current works in human emotion recognition follow the traditional closed learning approach governed by rigid rules without any consideration of novelty. Classification models are t…
EMERSK -- Explainable Multimodal Emotion Recognition with Situational Knowledge
Mijanur Palash, Bharat Bhargava
Automatic emotion recognition has recently gained significant attention due to the growing popularity of deep learning algorithms. One of the primary challenges in emotion recognit…