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17th CRV 2020: Ottawa, ON, Canada
- 17th Conference on Computer and Robot Vision, CRV 2020, Ottawa, ON, Canada, May 13-15, 2020. IEEE 2020, ISBN 978-1-7281-9891-0
- Christian Hessler, Mohamed Abouelenien, Mihai Burzo:
A Non-contact Method for Extracting Heart and Respiration Rates. 1-8 - James Ren Hou Lee, Alexander Wong:
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition. 9-16 - Bernard Llanos, Yee-Hong Yang:
Simultaneous Demosaicing and Chromatic Aberration Correction through Spectral Reconstruction. 17-24 - Martin Robert, Patrick Dallaire, Philippe Giguère:
Tree bark re-identification using a deep-learning feature descriptor. 25-32 - Askhat Temir, Kamalkhan Artykbayev, M. Fatih Demirci:
Image classification by Distortion-Free Graph Embedding and KNN-Random forest. 33-38 - Maya Antoun, Daniel C. Asmar, Rema Daher:
Towards Richer 3D Reference Maps in Urban Scenes. 39-45 - Gong Cheng, Yue Wang, Yiming Qian, James H. Elder:
Geometry-Guided Adaptation for Road Segmentation. 46-53 - Ambroise Moreau, Matei Mancas, Thierry Dutoit:
Unsupervised depth prediction from monocular sequences: Improving performances through instance segmentation. 54-61 - Payam Nikdel, Mo Chen, Richard Vaughan:
Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps. 62-69 - Ran Cheng, Christopher Agia, David Meger, Gregory Dudek:
Depth Prediction for Monocular Direct Visual Odometry. 70-77 - Andrew Holliday, Gregory Dudek:
Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation. 78-84 - Michael Cormier, Sarah Park, Lauren Beck:
Automatic Classification of Woodcuts and Copperplate Engravings. 85-92 - Dat T. Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran, Ngan Le:
Domain Generalization via Universal Non-volume Preserving Approach. 93-100 - Sadiq Al-Insaif, Jochen Lang:
Histological Image Classification using Deep Features and Transfer Learning. 101-108 - Seungchul Ryu, Ji-Ho Cho, Neeth Kunnath:
MASC-Net: Multi-scale Anisotropic Sparse Convolutional Network for Sparse Depth Densification. 109-116 - Moritz Sperling, Yann Bouteiller, Ricardo de Azambuja, Giovanni Beltrame:
Domain Generalization via Optical Flow: Training a CNN in a Low-Quality Simulation to Detect Obstacles in the Real World. 117-124 - Zhihao Cui, Zhenhua Zhang:
PVF-NET: Point & Voxel Fusion 3D Object Detection Framework for Point Cloud. 125-133 - Sean Walsh, Jason Ku, Alex D. Pon, Steven L. Waslander:
Leveraging Temporal Data for Automatic Labelling of Static Vehicles. 134-141 - Stefan Schurischuster, Jorge Mario Loaiciga R., Andrija Kurtic, Robert Sablatnig:
In-Time 3D Reconstruction and Instance Segmentation from Monocular Sensor Data. 142-149 - Mohammad Asiful Hossain, Mahesh Kumar Krishna Reddy, Kevin Cannons, Zhan Xu, Yang Wang:
Domain Adaptation in Crowd Counting. 150-157 - Kevin Dick, François Charih, Jimmy Woo, James R. Green:
Gas Prices of America: The Machine-Augmented Crowd-Sourcing Era. 158-165 - Ishaan Mehta, Mingliang Tang, Timothy D. Barfoot:
Gradient-Based Auto-Exposure Control Applied to a Self-Driving Car. 166-173 - Junfeng Wang, Andrew Hogue:
CVNodes: A Visual Programming Paradigm for Developing Computer Vision Algorithms. 174-181 - Kaveh Kamali, Ilian A. Bonev, Christian Desrosiers:
Real-time Motion Planning for Robotic Teleoperation Using Dynamic-goal Deep Reinforcement Learning. 182-189 - Chunshang Li, Steven L. Waslander:
Towards End-to-end Learning of Visual Inertial Odometry with an EKF. 190-197 - Dominic Baril, Vincent Grondin, Simon-Pierre Deschênes, Johann Laconte, Maxime Vaidis, Vladimír Kubelka, André Gallant, Philippe Giguère, François Pomerleau:
Evaluation of Skid-Steering Kinematic Models for Subarctic Environments. 198-205 - Md. Atiqur Rahman, Robert Laganière:
Single-Stage End-to-End Temporal Activity Detection in Untrimmed Videos. 206-213 - Neeth Kunnath, Ji-Ho Cho, Michael Langer:
Depth from Defocus on a Transmissive Diffraction Mask-based Sensor. 214-221 - Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia:
Differentiable Mask for Pruning Convolutional and Recurrent Networks. 222-229 - Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier:
SpotNet: Self-Attention Multi-Task Network for Object Detection. 230-237 - Rahul Kumar Dass, Nick Petersen, Ubbo Visser, Marisa Omori:
It's Not Just Black and White: Classifying Defendant Mugshots Based on the Multidimensionality of Race and Ethnicity. 238-245
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