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09/17/2023
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation
The classical human-robot interface in uncalibrated image-based visual s...
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07/11/2023
Deep Probabilistic Movement Primitives with a Bayesian Aggregator
Movement primitives are trainable parametric models that reproduce robot...
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12/06/2022
Variable-Decision Frequency Option Critic
In classic reinforcement learning algorithms, agents make decisions at d...
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02/28/2022
Generalizable task representation learning from human demonstration videos: a geometric approach
We study the problem of generalizable task learning from human demonstra...
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06/10/2021
Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control
Designing adaptable control laws that can transfer between different rob...
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05/07/2021
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving
Semantic segmentation in autonomous driving predominantly focuses on lea...
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04/08/2021
A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics
Human assistive robotics have the potential to help the elderly and indi...
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03/19/2021
Video Class Agnostic Segmentation Benchmark for Autonomous Driving
Semantic segmentation approaches are typically trained on large-scale da...
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01/12/2021
Boundary-Aware Segmentation Network for Mobile and Web Applications
Although deep models have greatly improved the accuracy and robustness o...
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01/07/2021
Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs?
Human assistive robotics have the potential to help the elderly and indi...
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05/18/2020
U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection
In this paper, we design a simple yet powerful deep network architecture...
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03/05/2020
A Geometric Perspective on Visual Imitation Learning
We consider the problem of visual imitation learning without human super...
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03/02/2020
Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream
Manipulation tasks in daily life, such as pouring water, unfold intentio...
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01/26/2020
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs
Significant progress has been made recently in developing few-shot objec...
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12/18/2019
One-Shot Weakly Supervised Video Object Segmentation
Conventional few-shot object segmentation methods learn object segmentat...
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11/08/2019
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans
We propose a method to tackle the problem of mapless collision-avoidance...
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11/08/2019
Visual Geometric Skill Inference by Watching Human Demonstration
We study the problem of learning manipulation skills from human demonstr...
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09/16/2019
Constructing Dynamic Knowledge Graph for Visual Semantic Understanding and Applications in Autonomous Robotics
Interpreting semantic knowledge describing entities, relations and attri...
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03/21/2019
Long range teleoperation for fine manipulation tasks under time-delay network conditions
We present a coarse-to-fine approach based semi-autonomous teleoperation...
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03/02/2019
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration
We evaluate different state representation methods in robot hand-eye coo...
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10/17/2018
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting
Video segmentation is a challenging task that has many applications in r...
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09/29/2018
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach
We present a robot eye-hand coordination learning method that can direct...
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09/24/2018
Online Tool and Task learning via Human Robot Interaction
This work describes the development of a robotic system that acquires kn...
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03/07/2018
RTSeg: Real-time Semantic Segmentation Comparative Study
Semantic segmentation benefits robotics related applications especially ...
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01/08/2018
End-to-end detection-segmentation network with ROI convolution
We propose an end-to-end neural network that improves the segmentation a...
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10/31/2017
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
We propose an attention mechanism for 3D medical image segmentation. The...
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09/14/2017
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving
We propose a novel multi-task learning system that combines appearance a...
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08/10/2017
Incremental 3D Line Segments Extraction from Semi-dense SLAM
Despite much interest in Simultaneous Localization and Mapping (SLAM), t...
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07/08/2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Semantic segmentation was seen as a challenging computer vision problem ...
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03/06/2017
4-DoF Tracking for Robot Fine Manipulation Tasks
This paper presents two visual trackers from the different paradigms of ...
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11/16/2016
Convolutional Gated Recurrent Networks for Video Segmentation
Semantic segmentation has recently witnessed major progress, where fully...
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06/30/2016
Parking Stall Vacancy Indicator System Based on Deep Convolutional Neural Networks
Parking management systems, and vacancy-indication services in particula...
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06/01/2016
Recurrent Fully Convolutional Networks for Video Segmentation
Image segmentation is an important step in most visual tasks. While conv...
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03/03/2016
Modular Decomposition and Analysis of Registration based Trackers
This paper presents a new way to study registration based trackers by de...
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02/29/2016