research
∙
10/27/2022
Spatio-temporal predictive tasks for abnormal event detection in videos
Abnormal event detection in videos is a challenging problem, partly due ...
share
research
∙
03/07/2022
Object-centric and memory-guided normality reconstruction for video anomaly detection
This paper addresses video anomaly detection problem for videosurveillan...
research
∙
01/24/2022
End-to-end Person Search Sequentially Trained on Aggregated Dataset
In video surveillance applications, person search is a challenging task ...
research
∙
01/24/2022
Describe me if you can! Characterized Instance-level Human Parsing
Several computer vision applications such as person search or online fas...
research
∙
01/07/2022
Detecting Human-to-Human-or-Object (H2O) Interactions with DIABOLO
Detecting human interactions is crucial for human behavior analysis. Man...
research
∙
12/24/2021
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification
The use of pseudo-labels prevails in order to tackle Unsupervised Domain...
research
∙
10/15/2021
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters
Unsupervised Domain Adaptation (UDA) for re-identification (re-ID) is a ...
research
∙
02/05/2021
Optimal Transport as a Defense Against Adversarial Attacks
Deep learning classifiers are now known to have flaws in the representat...
research
∙
11/17/2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
We present a new framework for Patch Distribution Modeling, PaDiM, to co...
research
∙
10/05/2020
Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms
Most of existing deep learning models rely on excessive amounts of label...
research
∙
09/20/2020
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling
Person Re-Identification (re-ID) aims at retrieving images of the same p...
research
∙
01/13/2020
