84 citations · 155 across the 28 of their papers we have counts for
29 papers
AECNav: Active Evidence Consolidation for Efficient Zero-Shot Open-Vocabulary Object Navigation
Guanlin Liu, Shaobin Ling, Renyuan Liu +2
Zero-shot object-goal navigation (ZSON) in open-vocabulary scenarios is challenging, as it requires a robot to locate an arbitrarily specified object in an unseen environment witho…
DexTele: A Dual-Arm Dexterous Teleoperation System Based on Motion Retargeting and Adaptive Force Control
Yuanchuan Lai, Qing Gao, Ziyan Liang +3
In dual-arm dexterous teleoperation, cross-platform generalization of motion retargeting and interactivity of grasping are crucial. However, the heterogeneity of robotic architectu…
ObjRetarget: An Object-Aware Motion Retargeting Framework with Anthropomorphic Arm Constraints and Polyhedral Hand Modeling
Yuanchuan Lai, Qing Gao, Ziyan Liang +2
Learning robot dexterous manipulation from human manipulation videos requires reliably retargeting human intent to executable robot actions while maintaining stable hand-object con…
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
Yun Wang, Junjie Hu, Qiaole Dong +4
Temporally consistent depth estimation from stereo video is critical for real-world applications such as augmented reality, where inconsistent depth estimation disrupts the immersi…
RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions
Yun Wang, Junjie Hu, Junhui Hou +3
Recent self-supervised stereo matching methods have made significant progress, but their performance significantly degrades under adverse weather conditions such as night, rain, an…
ELHPlan: Efficient Long-Horizon Task Planning for Multi-Agent Collaboration
Shaobin Ling, Yun Wang, Chenyou Fan +2
Large Language Models (LLMs) enable intelligent multi-robot collaboration but face fundamental trade-offs: open-loop methods that compile tasks into formal representations for exte…
Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis with Adaptive Compression and Fire Source Detection
Yanbing Bai, Rui-Yang Ju, Lemeng Zhao +4
Unmanned Aerial Vehicles (UAVs) have become increasingly important in disaster emergency response by facilitating aerial video analysis. Due to the limited computational resources…
Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
Yun Wang, Longguang Wang, Chenghao Zhang +6
Recently, learning-based stereo matching networks have advanced significantly. However, they often lack robustness and struggle to achieve impressive cross-domain performance due t…
SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion
Xiyue Guo, Jiarui Hu, Junjie Hu +2
Recently, camera-based solutions have been extensively explored for scene semantic completion (SSC). Despite their success in visible areas, existing methods struggle to capture co…
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks
Mingjian Liang, Junjie Hu, Chenyu Bao +3
Recently, RGB-Thermal based perception has shown significant advances. Thermal information provides useful clues when visual cameras suffer from poor lighting conditions, such as l…
Descriptor Distillation for Efficient Multi-Robot SLAM
Xiyue Guo, Junjie Hu, Hujun Bao +1
Performing accurate localization while maintaining the low-level communication bandwidth is an essential challenge of multi-robot simultaneous localization and mapping (MR-SLAM). I…
Peer Learning for Unbiased Scene Graph Generation
Liguang Zhou, Junjie Hu, Yuhongze Zhou +2
Unbiased scene graph generation (USGG) is a challenging task that requires predicting diverse and heavily imbalanced predicates between objects in an image. To address this, we pro…
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
Junjie Hu, Chenyou Fan, Liguang Zhou +3
With the rapid advancements in autonomous driving and robot navigation, there is a growing demand for lifelong learning models capable of estimating metric (absolute) depth. Lifelo…
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…
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…
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
Junjie Hu, Chenyou Fan, Mete Ozay +3
We study a practical yet hasn't been explored problem: how a drone can perceive in an environment from different flight heights. Unlike autonomous driving, where the perception is…
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…
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…
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
Fuqin Deng, Hua Feng, Mingjian Liang +7
The RGB-Thermal (RGB-T) information for semantic segmentation has been extensively explored in recent years. However, most existing RGB-T semantic segmentation usually compromises…
PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation
Hualie Jiang, Laiyan Ding, Junjie Hu +1
Unsupervised learning of depth from indoor monocular videos is challenging as the artificial environment contains many textureless regions. Fortunately, the indoor scenes are full…
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems
Junfeng Chen, Yuan Gao, Junjie Hu +2
We study a novel problem that tackles learning based sensor scanning in 3D and uncertain environments with heterogeneous multi-robot systems. Our motivation is two-fold: first, 3D…
Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth
Chongyang Wang, Yuan Gao, Chenyou Fan +4
The annotation of domain experts is important for some medical applications where the objective ground truth is ambiguous to define, e.g., the rehabilitation for some chronic disea…
Boosting Light-Weight Depth Estimation Via Knowledge Distillation
Junjie Hu, Chenyou Fan, Hualie Jiang +4
Monocular depth estimation (MDE) methods are often either too computationally expensive or not accurate enough due to the trade-off between model complexity and inference performan…