Saarbrücken, Germany

M. Hamza Mughal

Intermediate
@m-hamza-mughal

PhD Student @ Max Planck Institute for Informatics

m-hamza-mughal.github.io

Aerial-Template-Matching. This project focuses on development of an algorithm for Template Matching on aerial images by implementing classical Computer Vision based techniques and deep-learning based techniques.

111

convofusion. Code for CVPR 2024 paper: ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis

36

miburi. Implementation for MIBURI: Towards Expressive Interactive Gesture Synthesis (CVPR 2026)

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aerial-template-matching-dataset. Dataset for Deep Template Matching for Aerial Images

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RAG-Gesture. Implementation for "Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis" (CVPR 2025)

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background_changer. Change backgrounds of image and video data using Computer Vision

6

RANSACRegression. Simple Functions for Linear, Quadratic, Cubic Regression using RANSAC for outlier rejection

2

Conv-AcT-pytorch. Vision Transformer Based Action Recognition

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