2.4k citations · 2.7k across the 29 of their papers we have counts for
6 papers · 1 filter
One-Shot Weakly Supervised Video Object Segmentation
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin +2
Conventional few-shot object segmentation methods learn object segmentation from a few labelled support images with strongly labelled segmentation masks. Recent work has shown to p…
Visual Geometric Skill Inference by Watching Human Demonstration
Jun Jin, Laura Petrich, Zichen Zhang +2
We study the problem of learning manipulation skills from human demonstration video by inferring the association relationships between geometric features. Motivation for this work…
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans
Jun Jin, Nhat M. Nguyen, Nazmus Sakib +3
We propose a method to tackle the problem of mapless collision-avoidance navigation where humans are present using 2D laser scans. Our proposed method uses ego-safety to measure co…
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks
Chen Jiang, Martin Jagersand
Understanding manipulation scenarios allows intelligent robots to plan for appropriate actions to complete a manipulation task successfully. It is essential for intelligent robots…
Long range teleoperation for fine manipulation tasks under time-delay network conditions
Jun Jin, Laura Petrich, Shida He +2
We present a coarse-to-fine approach based semi-autonomous teleoperation system using vision guidance. The system is optimized for long range teleoperation tasks under time-delay n…
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration
Jun Jin, Masood Dehghan, Laura Petrich +2
We evaluate different state representation methods in robot hand-eye coordination learning on different aspects. Regarding state dimension reduction: we evaluates how these state r…