527 citations · 877 across the 56 of their papers we have counts for
9 papers · 1 filter
Convolutional STN for Weakly Supervised Object Localization
Akhil Meethal, Marco Pedersoli, Soufiane Belharbi +1
Weakly supervised object localization is a challenging task in which the object of interest should be localized while learning its appearance. State-of-the-art methods recycle the…
Non-parametric Uni-modality Constraints for Deep Ordinal Classification
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey +1
We propose a new constrained-optimization formulation for deep ordinal classification, in which uni-modality of the label distribution is enforced implicitly via a set of inequalit…
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance
Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine +1
Visual object tracking is an important function in many real-time video surveillance applications, such as localization and spatio-temporal recognition of persons. In real-world ap…
Cross-Domain Face Synthesis using a Controllable GAN
Fania Mokhayeri, Kaveh Kamali, Eric Granger
The performance of face recognition (FR) systems applied in video surveillance has been shown to improve when the design data is augmented through synthetic face generation. This i…
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample
Fania Mokhayeri, Eric Granger
Sparse representation-based classification (SRC) has been shown to achieve a high level of accuracy in face recognition (FR). However, matching faces captured in unconstrained vide…
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos
R. Gnana Praveen, Eric Granger, Patrick Cardinal
Automatic pain assessment has an important potential diagnostic value for populations that are incapable of articulating their pain experiences. As one of the dominating nonverbal…
Exploiting Prunability for Person Re-Identification
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine +4
Recent years have witnessed a substantial increase in the deep learning (DL)architectures proposed for visual recognition tasks like person re-identification,where individuals must…
Progressive Gradient Pruning for Classification, Detection and DomainAdaptation
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran +2
Although deep neural networks (NNs) have achievedstate-of-the-art accuracy in many visual recognition tasks,the growing computational complexity and energy con-sumption of networks…
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions
Hoel Kervadec, Jose Dolz, Jing Yuan +3
This study investigates imposing hard inequality constraints on the outputs of convolutional neural networks (CNN) during training. Several recent works showed that the theoretical…