501 citations · 838 across the 22 of their papers we have counts for
12 papers · 1 filter
MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds
William Guimont-Martin, Jean-Michel Fortin, François Pomerleau +1
Recent works in object detection in LiDAR point clouds mostly focus on predicting bounding boxes around objects. This prediction is commonly achieved using anchor-based or anchor-f…
MixVPR: Feature Mixing for Visual Place Recognition
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
Visual Place Recognition (VPR) is a crucial part of mobile robotics and autonomous driving as well as other computer vision tasks. It refers to the process of identifying a place d…
Global Proxy-based Hard Mining for Visual Place Recognition
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
Learning deep representations for visual place recognition is commonly performed using pairwise or triple loss functions that highly depend on the hardness of the examples sampled…
Tree Detection and Diameter Estimation Based on Deep Learning
Vincent Grondin, Jean-Michel Fortin, François Pomerleau +1
Tree perception is an essential building block toward autonomous forestry operations. Current developments generally consider input data from lidar sensors to solve forest navigati…
GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
This paper aims to investigate representation learning for large scale visual place recognition, which consists of determining the location depicted in a query image by referring t…
Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
Vincent Grondin, François Pomerleau, Philippe Giguère
Vision-based segmentation in forested environments is a key functionality for autonomous forestry operations such as tree felling and forwarding. Deep learning algorithms demonstra…
Instance Segmentation for Autonomous Log Grasping in Forestry Operations
Jean-Michel Fortin, Olivier Gamache, Vincent Grondin +2
Wood logs picking is a challenging task to automate. Indeed, logs usually come in cluttered configurations, randomly orientated and overlapping. Recent work on log picking automati…
Deep Template-based Object Instance Detection
Jean-Philippe Mercier, Mathieu Garon, Philippe Giguère +1
Much of the focus in the object detection literature has been on the problem of identifying the bounding box of a particular class of object in an image. Yet, in contexts such as r…
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
Jean-Philippe Mercier, Chaitanya Mitash, Philippe Giguère +1
This work proposes a process for efficiently training a point-wise object detector that enables localizing objects and computing their 6D poses in cluttered and occluded scenes. Ac…
Tree Species Identification from Bark Images Using Convolutional Neural Networks
Mathieu Carpentier, Philippe Giguère, Jonathan Gaudreault
Tree species identification using bark images is a challenging problem that could prove useful for many forestry related tasks. However, while the recent progress in deep learning…
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Convolutional neural networks (CNNs) have become the most successful approach in many vision-related domains. However, they are limited to domains where data is abundant. Recent wo…
Sign Language Fingerspelling Classification from Depth and Color Images using a Deep Belief Network
Lucas Rioux-Maldague, Philippe Giguère
Automatic sign language recognition is an open problem that has received a lot of attention recently, not only because of its usefulness to signers, but also due to the numerous ap…