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ORCID18th CRV 2021: Burnaby, BC, Canada
- 18th Conference on Robots and Vision, CRV 2021, Burnaby, BC, Canada, May 26-28, 2021. IEEE 2021, ISBN 978-1-6654-1413-5
- Maxime Vaidis, Philippe Giguère, François Pomerleau
, Vladimír Kubelka:
Accurate outdoor ground truth based on total stations. 1-8 - Anas Mahmoud, Steven L. Waslander:
Sequential Fusion via Bounding Box and Motion PointPainting for 3D Objection Detection. 9-16 - Simon-Pierre Deschênes, Dominic Baril, Vladimír Kubelka, Philippe Giguère, François Pomerleau:
Lidar Scan Registration Robust to Extreme Motions. 17-24 - Benjamin Congram, Timothy D. Barfoot:
Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS. 25-32 - Mukul Khanna, Tanu Sharma, Ayyappa Swamy Thatavarthy, K. Madhava Krishna:
Building Facades to Normal Maps: Adversarial Learning from Single View Images. 33-40 - Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu:
Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification. 41-48 - Xiangyu Chen, Guanghui Wang:
Few-Shot Learning by Integrating Spatial and Frequency Representation. 49-56 - Haoxu Wang, David Meger:
Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning. 57-63 - Adam Heins, Michael Jakob, Angela P. Schoellig:
Mobile Manipulation in Unknown Environments with Differential Inverse Kinematics Control. 64-71 - Manfred Diaz, Thomas Fevens, Liam Paull:
Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning. 72-78 - Alexandru-Iosif Toma, Hao-Ya Hsueh, Hussein Ali Jaafar, Riku Murai, Paul H. J. Kelly, Sajad Saeedi:
PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms. 79-86 - Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi:
Waypoint Planning Networks. 87-94 - Ao Zhang, Farzan Erlik Nowruzi, Robert Laganière:
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users. 95-102 - Ala'a Al-Habashna:
Building Height Estimation using Street-View Images, Deep-Learning, Contour Processing, and Geospatial Data. 103-110 - Ziwen Chen, Zixuan Guo, Jerod J. Weinman:
Improved Point Transformation Methods For Self-Supervised Depth Prediction. 111-118 - Zobeir Raisi, Mohamed A. Naiel, Georges Younes, Steven Wardell, John S. Zelek:
2LSPE: 2D Learnable Sinusoidal Positional Encoding using Transformer for Scene Text Recognition. 119-126 - Kaidong Li, Nina Y. Wang, Yiju Yang, Guanghui Wang:
SGNet: A Super-class Guided Network for Image Classification and Object Detection. 127-134 - Ayyappa Swamy Thatavarthy, Tanu Sharma, K. Madhava Krishna:
A new geometric approach for three view line reconstruction and motion estimation in Manhattan Scenes. 135-141 - Kevin Dick, Joshua B. Tanner, James R. Green:
To Keystone or Not to Keystone, that is the Correction. 142-150 - Ali Abedi, Shehroz S. Khan:
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network. 151-157 - Philippe Laferrière, Samuel Laferrière, Steven Dahdah, James Richard Forbes, Liam Paull:
Deep Koopman Representation for Control over Images (DKRCI). 158-164 - Orighomisan Mayuku, Brian W. Surgenor, Joshua A. Marshall:
Multi-Resolution and Multi-Domain Analysis of Off-Road Datasets for Autonomous Driving. 165-172 - Wei-Kang Tseng, Angela P. Schoellig, Timothy D. Barfoot:
Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization. 173-180 - Krushi Patel, Andrés M. Bur, Guanghui Wang:
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation. 181-188
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