940 citations · 1.4k across the 33 of their papers we have counts for
8 papers · 1 filter
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
Mingxuan Jing, Xiaojian Ma, Wenbing Huang +4
In this paper, we study Reinforcement Learning from Demonstrations (RLfD) that improves the exploration efficiency of Reinforcement Learning (RL) by providing expert demonstrations…
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Chao Yang, Xiaojian Ma, Wenbing Huang +4
This paper studies Learning from Observations (LfO) for imitation learning with access to state-only demonstrations. In contrast to Learning from Demonstration (LfD) that involves…
TrajectoryNet: a new spatio-temporal feature learning network for human motion prediction
Xiaoli Liu, Jianqin Yin, Jin Liu +3
Human motion prediction is an increasingly interesting topic in computer vision and robotics. In this paper, we propose a new 2D CNN based network, TrajectoryNet, to predict future…
Deep Point-wise Prediction for Action Temporal Proposal
Luxuan Li, Tao Kong, Fuchun Sun +1
Detecting actions in videos is an important yet challenging task. Previous works usually utilize (a) sliding window paradigms, or (b) per-frame action scoring and grouping to enume…
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction
Xiaoli Liu, Jianqin Yin, Huaping Liu +1
Pose prediction is to predict future poses given a window of previous poses. In this paper, we propose a new problem that predicts poses using 3D joint coordinate sequences. Differ…
Road-network-based Rapid Geolocalization
Yongfei Li, Dongfang Yang, Shicheng Wang +1
It has always been a research hotspot to use geographic information to assist the navigation of unmanned aerial vehicles. In this paper, a road-network-based localization method is…
FoveaBox: Beyond Anchor-based Object Detector
Tao Kong, Fuchun Sun, Huaping Liu +3
We present FoveaBox, an accurate, flexible, and completely anchor-free framework for object detection. While almost all state-of-the-art object detectors utilize predefined anchors…
Consistent Optimization for Single-Shot Object Detection
Tao Kong, Fuchun Sun, Huaping Liu +2
We present consistent optimization for single stage object detection. Previous works of single stage object detectors usually rely on the regular, dense sampled anchors to generate…