4 papers
See Without Decoding: Motion-Vector-Based Tracking in Compressed Video
Axel Duché, Clément Chatelain, Gilles Gasso
We propose a lightweight compressed-domain tracking model that operates directly on video streams, without requiring full RGB video decoding. Using motion vectors and transform coe…
Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios
Dhruv Jain, Romain Modzelewski, Romain Herault +3
In data-scarce scenarios, deep learning models often overfit to noise and irrelevant patterns, which limits their ability to generalize to unseen samples. To address these challeng…
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning
Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard +3
Diffusion models have emerged as highly effective techniques for inpainting, however, they remain constrained by slow sampling rates. While recent advances have enhanced generation…
Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics
Zacharia Mesbah, Dhruv Jain, Tsiry Mayet +5
The primary objective of the AIIB 2023 competition is to evaluate the predictive significance of airway-related imaging biomarkers in determining the survival outcomes of patients…