activity
20102026
most citedA New Representation of Skeleton Sequences for 3D Action Recognition

790 citations · 1.7k across the 23 of their papers we have counts for

collaborators

29 papers

cs.CV2026

Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention

Joy Dhar, Manish Kumar Pandey, Nayyar Zaidi +4

Multimodal fusion learning (MFL) has shown great potential in the medical domain, where we are faced with disparate data modalities such as imaging, clinical records, and omics. Ho…

cs.CV2026

TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects

Tahmina Khanam, Hamid Laga, Mohammed Bennamoun +4

We introduce a novel mathematical framework for analyzing and generating complex tree-shaped 3D objects, such as botanical trees and plants, which deform both in their 3D geometry…

cs.CG2025

A Riemannian Framework for the Elastic Analysis of the Spatiotemporal Variability in the Shape and Structure of Tree-like 4D Objects

Tahmina Khanam, Hamid Laga, Mohammed Bennamoun +5

This paper introduces a novel computational framework for modeling and analyzing the spatiotemporal shape variability of tree-like 4D structures whose shapes deform and evolve over…

cs.CV2025

FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM

Xinlong Wan, Xiaoyan Jiang, Guangsheng Luo +2

Automatic crack segmentation is a cornerstone technology for intelligent visual perception modules in road safety maintenance and structural integrity systems. Existing deep learni…

cs.CV2024

A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures

Tahmina Khanam, Hamid Laga, Mohammed Bennamoun +5

We propose the first comprehensive approach for modeling and analyzing the spatiotemporal shape variability in tree-like 4D objects, i.e., 3D objects whose shapes bend, stretch, an…

cs.CV2024★ 67 cited

Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey

Uchitha Rajapaksha, Ferdous Sohel, Hamid Laga +2

Estimating depth from single RGB images and videos is of widespread interest due to its applications in many areas, including autonomous driving, 3D reconstruction, digital enterta…