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20212026
most citedA Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System

29 citations · 29 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Compositional Generative Modeling from Decentralized Data

Mashrur M. Morshed, Vishnu Naresh Boddeti

Learning the compositional nature of the physical world requires joint observation of interacting factors. However, because practical data is often decentralized, these factors are…

cs.LG2025

PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors

Sepehr Dehdashtian, Mashrur M. Morshed, Jacob H. Seidman +2

Synthetic image detectors (SIDs) are a key defense against the risks posed by the growing realism of images from text-to-image (T2I) models. Red teaming improves SID's effectivenes…

cs.LG2025

DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows

Mashrur M. Morshed, Vishnu Boddeti

Many real-world applications of flow-based generative models desire a diverse set of samples that cover multiple modes of the target distribution. However, the predominant approach…

cs.SD2022

Learning Audio Representations with MLPs

Mashrur M. Morshed, Ahmad Omar Ahsan, Hasan Mahmud +1

In this paper, we propose an efficient MLP-based approach for learning audio representations, namely timestamp and scene-level audio embeddings. We use an encoder consisting of seq…

cs.LG2021

Attention-Free Keyword Spotting

Mashrur M. Morshed, Ahmad Omar Ahsan

Till now, attention-based models have been used with great success in the keyword spotting problem domain. However, in light of recent advances in deep learning, the question arise…

cs.CV2021★ 29 cited

A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System

Hasan Mahmud, Mashrur M. Morshed, Md. Kamrul Hasan

The dynamic hand gesture recognition task has seen studies on various unimodal and multimodal methods. Previously, researchers have explored depth and 2D-skeleton-based multimodal…