84 citations · 188 across the 29 of their papers we have counts for
10 papers · 1 filter
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Liguang Zhou, Yuhongze Zhou, Xiaonan Qi +3
Audio-Visual scene understanding is a challenging problem due to the unstructured spatial-temporal relations that exist in the audio signals and spatial layouts of different object…
TMSTC*: A Turn-minimizing Algorithm For Multi-robot Coverage Path Planning
Junjie Lu, Bi Zeng, Jingtao Tang +1
Coverage path planning is a major application for mobile robots, which requires robots to move along a planned path to cover the entire map. For large-scale tasks, coverage path pl…
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning
Junfeng Chen, Fuqin Deng, Yuan Gao +4
It is well known that it is difficult to have a reliable and robust framework to link multi-agent deep reinforcement learning algorithms with practical multi-robot applications. To…
Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks
Jingtao Tang, Yuan Gao, Tin Lun Lam
For massive large-scale tasks, a multi-robot system (MRS) can effectively improve efficiency by utilizing each robot's different capabilities, mobility, and functionality. In this…
Dense Depth Distillation with Out-of-Distribution Simulated Images
Junjie Hu, Chenyou Fan, Mete Ozay +2
We study data-free knowledge distillation (KD) for monocular depth estimation (MDE), which learns a lightweight model for real-world depth perception tasks by compressing it from a…
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation
Liguang Zhou, Yuhongze Zhou, Tin Lun Lam +1
Scene graph generation (SGG) has gained tremendous progress in recent years. However, its underlying long-tailed distribution of predicate classes is a challenging problem. For ext…
Feature Pyramid Attention based Residual Neural Network for Environmental Sound Classification
Liguang Zhou, Yuhongze Zhou, Xiaonan Qi +3
Environmental sound classification (ESC) is a challenging problem due to the unstructured spatial-temporal relations that exist in the sound signals. Recently, many studies have fo…
Deep Depth Completion from Extremely Sparse Data: A Survey
Junjie Hu, Chenyu Bao, Mete Ozay +4
Depth completion aims at predicting dense pixel-wise depth from an extremely sparse map captured from a depth sensor, e.g., LiDARs. It plays an essential role in various applicatio…
Whole-Body Control for Velocity-Controlled Mobile Collaborative Robots Using Coupling Dynamic Movement Primitives
Zhangjie Tu, Tianwei Zhang, Lei Yan +1
In this paper, we propose a unified whole-body control framework for velocity-controlled mobile collaborative robots which can distribute task motion into the arm and mobile base a…
RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects
Ran Long, Christian Rauch, Tianwei Zhang +3
This work presents a novel dense RGB-D SLAM approach for dynamic planar environments that enables simultaneous multi-object tracking, camera localisation and background reconstruct…