most citedSpace-Time Representation of People Based on 3D Skeletal Data: A Review

28 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2017

Multisensory Omni-directional Long-term Place Recognition: Benchmark Dataset and Analysis

Ashwin Mathur, Fei Han, Hao Zhang

Recognizing a previously visited place, also known as place recognition (or loop closure detection) is the key towards fully autonomous mobile robots and self-driving vehicle navig…

cs.RO2017

Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making

Fei Han, Xue Yang, Yu Zhang +1

Apprenticeship learning has recently attracted a wide attention due to its capability of allowing robots to learn physical tasks directly from demonstrations provided by human expe…

cs.CV2017★ 1 cited

Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors

Fei Han, Xue Yang, Christopher Reardon +2

Robot awareness of human actions is an essential research problem in robotics with many important real-world applications, including human-robot collaboration and teaming. Over the…

cs.RO2016★ 1 cited

Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors

Fei Han, Christopher Reardon, Lynne E. Parker +1

In order for cooperative robots ("co-robots") to respond to human behaviors accurately and efficiently in human-robot collaboration, interpretation of human actions, awareness of n…

cs.CV2016★ 3 cited

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking

Xue Yang, Fei Han, Hua Wang +1

Sparse representation has been widely studied in visual tracking, which has shown promising tracking performance. Despite a lot of progress, the visual tracking problem is still a…

cs.CV2016★ 28 cited

Space-Time Representation of People Based on 3D Skeletal Data: A Review

Fei Han, Brian Reily, William Hoff +1

Spatiotemporal human representation based on 3D visual perception data is a rapidly growing research area. Based on the information sources, these representations can be broadly ca…