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Ismail Ben Ayed

35 papers hereh-index 2528 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author24
  • last author10

Across the 34 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CV29
  • cs.LG3
  • eess.IV3
same name
  • Ismail Ben Ayed — 76 papers, h 52
  • Ismail Ben Ayed — 14 papers, h 4
  • Ismail Ben Ayed — 9 papers
  • Ismail Ben Ayed — 1 paper
  • Ismail Ben Ayed — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132026
most cited3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

429 citations · 664 across the 34 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

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.CV2026

PRiSM: Prototype Regularization for Few-Shot VLMs

Ghassen Baklouti, Omprakash Chakraborty, Jose Dolz +1

Training-free few-shot adaptation methods have gained significant attention recently in the context of Vision-language Models (VLMs). Yet, current benchmarks rely on strong assumpt…

cs.CV2026

Quantile Adaptive Temperature Scaling for Confidence Calibration

Omprakash Chakraborty, Leo Fillioux, Ismail Ben Ayed +1

Deep neural networks often produce poorly calibrated confidence estimates, overstating their certainty even when predictions are incorrect. Temperature Scaling remains the most wid…

cs.CV2026

SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning

Leo Fillioux, Omprakash Chakraborty, Ismail Ben Ayed +4

With the increasing adoption of vision-language models (VLMs) in critical decision-making systems such as healthcare or autonomous driving, the calibration of their uncertainty est…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.