activity
20232026
most citedTowards Measuring and Scoring Speaker Diarization Fairness

2 citations · 4 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026

Beyond Anonymous Captions: Grounding Character Identity in Video Captioning and Question Answering

Anas Filali Razzouki, Killian Steunou, Khalil Guetari +3

Linking people's appearance and actions to character identities is essential for understanding video narratives. We present a framework for identity-aware video captioning and pers…

cs.CV2026

Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs

Killian Steunou, Yannis Tevissen, Mounîm A. El Yacoubi

Video understanding has rapidly evolved toward video large language models (VideoLLMs): systems that couple video representations with pretrained large language models and conditio…

cs.CV2026

PEEK: Picking Essential frames via Efficient Knowledge distillation

Killian Steunou, Anas Filali Razzouki, Khalil Guetari +2

Video-language models can process only a limited number of frames, making frame selection a key bottleneck for efficient video captioning. Most captioning pipelines still rely on u…

cs.CV2025

Frame Sampling Strategies Matter: A Benchmark for small vision language models

Marija Brkic, Anas Filali Razzouki, Yannis Tevissen +2

Comparing vision language models on videos is particularly complex, as the performances is jointly determined by the model's visual representation capacity and the frame-sampling s…

cs.CV2024

Disability Representations: Finding Biases in Automatic Image Generation

Yannis Tevissen

Recent advancements in image generation technology have enabled widespread access to AI-generated imagery, prominently used in advertising, entertainment, and progressively in ever…

cs.CL2024

Towards Retrieval Augmented Generation over Large Video Libraries

Yannis Tevissen, Khalil Guetari, Frédéric Petitpont

Video content creators need efficient tools to repurpose content, a task that often requires complex manual or automated searches. Crafting a new video from large video libraries r…

cs.MM2024

Multimodal Chaptering for Long-Form TV Newscast Video

Khalil Guetari, Yannis Tevissen, Frédéric Petitpont

We propose a novel approach for automatic chaptering of TV newscast videos, addressing the challenge of structuring and organizing large collections of unsegmented broadcast conten…

cs.CV2024

Inserting Faces inside Captions: Image Captioning with Attention Guided Merging

Yannis Tevissen, Khalil Guetari, Marine Tassel +2

Image captioning models are widely used to describe recent and archived pictures with the objective of improving their accessibility and retrieval. Yet, these approaches tend to be…

cs.HC2024★ 1 cited

Privacy Preserving Personal Assistant with On-Device Diarization and Spoken Dialogue System for Home and Beyond

Gérard Chollet, Hugues Sansen, Yannis Tevissen +4

In the age of personal voice assistants, the question of privacy arises. These digital companions often lack memory of past interactions, while relying heavily on the internet for…

eess.AS2023★ 1 cited

Home monitoring for frailty detection through sound and speaker diarization analysis

Yannis Tevissen, Dan Istrate, Vincent Zalc +4

As the French, European and worldwide populations are aging, there is a strong interest for new systems that guarantee a reliable and privacy preserving home monitoring for frailty…

cs.SD2023★ 2 cited

Towards Measuring and Scoring Speaker Diarization Fairness

Yannis Tevissen, Jérôme Boudy, Gérard Chollet +1

Speaker diarization, or the task of finding "who spoke and when", is now used in almost every speech processing application. Nevertheless, its fairness has not yet been evaluated b…

cs.SD2023

The Newsbridge -Telecom SudParis VoxCeleb Speaker Recognition Challenge 2022 System Description

Yannis Tevissen, Jérôme Boudy, Frédéric Petitpont

We describe the system used by our team for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC 2022) in the speaker diarization track. Our solution was designed around a new c…