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20212026
most citedAcoustic Echo Cancellation using Residual U-Nets

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Test-Time Generalized Category Discovery

Shambhavi Mishra, Omprakash Chakraborty, Julio Silva-Rodriguez +3

Test-Time Adaptation (TTA) and Generalized Category Discovery (GCD) are traditionally treated as disjoint problems: the former adapts models to domain shift assuming all test class…

cs.CV2025

ViLU: Learning Vision-Language Uncertainties for Failure Prediction

Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez +6

Reliable Uncertainty Quantification (UQ) and failure prediction remain open challenges for Vision-Language Models (VLMs). We introduce ViLU, a new Vision-Language Uncertainty quant…

cs.CV2025

Full Conformal Adaptation of Medical Vision-Language Models

Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède +4

Vision-language models (VLMs) pre-trained at large scale have shown unprecedented transferability capabilities and are being progressively integrated into medical image analysis. A…

cs.CV2025★ 1 cited

Conformal Prediction for Zero-Shot Models

Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz

Vision-language models pre-trained at large scale have shown unprecedented adaptability and generalization to downstream tasks. Although its discriminative potential has been widel…

eess.AS2021★ 1 cited

Acoustic Echo Cancellation using Residual U-Nets

J. Silva-Rodríguez, M. F. Dolz, M. Ferrer +3

This paper presents an acoustic echo canceler based on a U-Net convolutional neural network for single-talk and double-talk scenarios. U-Net networks have previously been used in t…