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20182022
most citedKnowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains

25 citations · 65 across the 23 of their papers we have counts for

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28 papers · 1 filter

cs.CV2022

Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data

Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz +1

The re-identification (ReID) of individuals over a complex network of cameras is a challenging task, especially under real-world surveillance conditions. Several deep learning mode…

cs.CV20221 cited

Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID

Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers +2

Systems for person re-identification (ReID) can achieve a high accuracy when trained on large fully-labeled image datasets. However, the domain shift typically associated with dive…

cs.CV20221 cited

Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras

Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros +3

In intelligent building management, knowing the number of people and their location in a room are important for better control of its illumination, ventilation, and heating with re…

cs.CV20221 cited

Visible-Infrared Person Re-Identification Using Privileged Intermediate Information

Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz +1

Visible-infrared person re-identification (ReID) aims to recognize a same person of interest across a network of RGB and IR cameras. Some deep learning (DL) models have directly in…

cs.CV20224 cited

Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention

R Gnana Praveen, Eric Granger, Patrick Cardinal

Automatic emotion recognition (ER) has recently gained lot of interest due to its potential in many real-world applications. In this context, multimodal approaches have been shown…

cs.CV20225 cited

Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization

Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli +2

Self-supervised vision transformers can generate accurate localization maps of the objects in an image. However, since they decompose the scene into multiple maps containing variou…