3 citations · 5 across the 12 of their papers we have counts for
4 papers · 1 filter
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error
Bumgeun Park, Taeyoung Kim, Woohyeon Moon +2
Training agents via off-policy deep reinforcement learning (RL) requires a large memory, named replay memory, that stores past experiences used for learning. These experiences are…
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective
Praveen Kumar Rajendran, Quoc-Vinh Lai-Dang, Luiz Felipe Vecchietti +1
Identifying the camera pose for a given image is a challenging problem with applications in robotics, autonomous vehicles, and augmented/virtual reality. Lately, learning-based met…
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training
Praveen Kumar Rajendran, Sumit Mishra, Luiz Felipe Vecchietti +1
Relative camera pose estimation, i.e. estimating the translation and rotation vectors using a pair of images taken in different locations, is an important part of systems in augmen…
Sensing accident-prone features in urban scenes for proactive driving and accident prevention
Sumit Mishra, Praveen Kumar Rajendran, Luiz Felipe Vecchietti +1
In urban cities, visual information on and along roadways is likely to distract drivers and lead to missing traffic signs and other accident-prone (AP) features. To avoid accidents…