activity
20172023
most citedTRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

17 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Sanity checks for patch visualisation in prototype-based image classification

Romain Xu-Darme, Georges Quénot, Zakaria Chihani +1

In this work, we perform an analysis of the visualisation methods implemented in ProtoPNet and ProtoTree, two self-explaining visual classifiers based on prototypes. We show that s…

cs.AI2023★ 2 cited

An overview on the evaluated video retrieval tasks at TRECVID 2022

George Awad, Keith Curtis, Asad Butt +9

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-bas…

cs.CV2021★ 17 cited

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

George Awad, Asad A. Butt, Keith Curtis +14

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-bas…

cs.CV2020

TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval

George Awad, Asad A. Butt, Keith Curtis +11

The TREC Video Retrieval Evaluation (TRECVID) 2019 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in research and developme…

cs.CV2017

Coupled Ensembles of Neural Networks

Anuvabh Dutt, Denis Pellerin, Georges Quénot

We investigate in this paper the architecture of deep convolutional networks. Building on existing state of the art models, we propose a reconfiguration of the model parameters int…