output
20072026
most citedFast Parallel Hypertree Decompositions in Logarithmic Recursion Depth

314 citations

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12 papers · 1 filter

cs.CV2026

Decoder-Agnostic Token Merging for Vision Transformers: A Systematic Study of G2TM

Victor Bercy, Martyna Poreba, Michal Szczepanski +1

Vision Transformers (ViTs) have achieved state-of-the-art performance across a range of computer vision tasks, mainly thanks to the self-attention mechanism. However, its complexit…

cs.CV2025

Accurate online action and gesture recognition system using detectors and Deep SPD Siamese Networks

Mohamed Sanim Akremi, Rim Slama, Hedi Tabia

Online continuous motion recognition is a hot topic of research since it is more practical in real life application cases. Recently, Skeleton-based approaches have become increasin…

cs.CV2025

SAIL: Self-supervised Albedo Estimation from Real Images with a Latent Diffusion Model

Hala Djeghim, Nathan Piasco, Luis Roldão +4

Intrinsic image decomposition aims at separating an image into its underlying albedo and shading components, isolating the base color from lighting effects to enable downstream app…

cs.CV2025

Text-driven Motion Generation: Overview, Challenges and Directions

Ali Rida Sahili, Najett Neji, Hedi Tabia

Text-driven motion generation offers a powerful and intuitive way to create human movements directly from natural language. By removing the need for predefined motion inputs, it pr…

cs.CV2025

IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability

Ahmad Fall, Federica Granese, Alex Lence +5

Monitoring and analyzing electrocardiogram (ECG) signals, even under varying physiological conditions, including those influenced by physical activity, drugs and stress, is crucial…

cs.CV2024★ 3 cited

Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach

Salah Eddine Laidoudi, Madjid Maidi, Samir Otmane

Real-time object detection in indoor settings is a challenging area of computer vision, faced with unique obstacles such as variable lighting and complex backgrounds. This field ho…