3 citations · 3 across the 1 of their papers we have counts for
6 papers
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning
Wenbin Li, Jeannette Bohg, Mario Fritz
Understanding physical phenomena is a key component of human intelligence and enables physical interaction with previously unseen environments. In this paper, we study how an artif…
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction
Wenbin Li, Seyedmajid Azimi, Aleš Leonardis +1
Understanding physical phenomena is a key competence that enables humans and animals to act and interact under uncertain perception in previously unseen environments containing nov…
Video Interpolation using Optical Flow and Laplacian Smoothness
Wenbin Li, Darren Cosker
Non-rigid video interpolation is a common computer vision task. In this paper we present an optical flow approach which adopts a Laplacian Cotangent Mesh constraint to enhance the…
Towards the Design of Effective Freehand Gestural Interaction for Interactive TV
Gang Ren, Wenbin Li, Eamonn O'Neill
As interactive devices become pervasive, people are beginning to looking for more advanced interaction with televisions in the living room. Interactive television has the potential…
Blur Robust Optical Flow using Motion Channel
Wenbin Li, Yang Chen, JeeHang Lee +2
It is hard to estimate optical flow given a realworld video sequence with camera shake and other motion blur. In this paper, we first investigate the blur parameterization for vide…
Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences
Wenbin Li, Darren Cosker, Matthew Brown
It is hard to densely track a nonrigid object in long term, which is a fundamental research issue in the computer vision community. This task often relies on estimating pairwise co…