5 citations · 12 across the 9 of their papers we have counts for
10 papers
Future Video Prediction from a Single Frame for Video Anomaly Detection
Mohammad Baradaran, Robert Bergevin
Video anomaly detection (VAD) is an important but challenging task in computer vision. The main challenge rises due to the rarity of training samples to model all anomaly cases. He…
-Multivariational Autoencoder for Entangled Representation Learning in Video Frames
Fatemeh Nouri, Robert Bergevin
It is crucial to choose actions from an appropriate distribution while learning a sequential decision-making process in which a set of actions is expected given the states and prev…
Multi-Task Learning based Video Anomaly Detection with Attention
Mohammad Baradaran, Robert Bergevin
Multi-task learning based video anomaly detection methods combine multiple proxy tasks in different branches to detect video anomalies in different situations. Most existing method…
Object Class Aware Video Anomaly Detection through Image Translation
Mohammad Baradaran, Robert Bergevin
Semi-supervised video anomaly detection (VAD) methods formulate the task of anomaly detection as detection of deviations from the learned normal patterns. Previous works in the fie…
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods
Mohammad Baradaran, Robert Bergevin
Video anomaly detection is one of the hot research topics in computer vision nowadays, as abnormal events contain a high amount of information. Anomalies are one of the main detect…
Online Mutual Foreground Segmentation for Multispectral Stereo Videos
Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin
The segmentation of video sequences into foreground and background regions is a low-level process commonly used in video content analysis and smart surveillance applications. Using…
From Superpixel to Human Shape Modelling for Carried Object Detection
Farnoosh Ghadiri, Robert Bergevin, Guillaume-Alexandre Bilodeau
Detecting carried objects is one of the requirements for developing systems to reason about activities involving people and objects. We present an approach to detect carried object…
An adaptive thresholding approach for automatic optic disk segmentation
Farnoosh Ghadiri, Robert Bergevin, Masoud Shafiee
Optic disk segmentation is a prerequisite step in automatic retinal screening systems. In this paper, we propose an algorithm for optic disk segmentation based on a local adaptive…
SPiKeS: Superpixel-Keypoints Structure for Robust Visual Tracking
François-Xavier Derue, Guillaume-Alexandre Bilodeau, Robert Bergevin
In visual tracking, part-based trackers are attractive since they are robust against occlusion and deformation. However, a part represented by a rectangular patch does not account…
Reproducible Evaluation of Pan-Tilt-Zoom Tracking
Gengjie Chen, Pierre-Luc St-Charles, Wassim Bouachir +3
Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years. However, it is very difficult to assess the progress that has been made on t…