103 citations · 128 across the 13 of their papers we have counts for
13 papers
PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition
Chao Cai, Ruinan Jin, Peng Wang +3
Recently, \textit{passive behavioral biometrics} (e.g., gesture or footstep) have become promising complements to conventional user identification methods (e.g., face or fingerprin…
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map
Elmira Amirloo, Mohsen Rohani, Ershad Banijamali +2
While supervised learning is widely used for perception modules in conventional autonomous driving solutions, scalability is hindered by the huge amount of data labeling needed. In…
Learning robust driving policies without online exploration
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh +2
We propose a multi-time-scale predictive representation learning method to efficiently learn robust driving policies in an offline manner that generalize well to novel road geometr…
Open-set Intersection Intention Prediction for Autonomous Driving
Fei Li, Xiangxu Li, Jun Luo +2
Intention prediction is a crucial task for Autonomous Driving (AD). Due to the variety of size and layout of intersections, it is challenging to predict intention of human driver a…
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat +1
Despite the recent successes of reinforcement learning in games and robotics, it is yet to become broadly practical. Sample efficiency and unreliable performance in rare but challe…
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
Daniel Graves, Jun Jin, Jun Luo
We propose a framework for transferring any existing policy from a potentially unknown source MDP to a target MDP. This framework (1) enables reuse in the target domain of any form…