Junjie Hu

According to our database, Junjie Hu authored at least 37 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BaSICNet: Lightweight 3-D Hand Pose Estimation Network Based on Biomechanical Structure Information for Dexterous Manipulator Teleoperation.

Wenrao Pang, Qing Gao, Yinan Zhao, Zhaojie Ju, Junjie Hu

IEEE Trans. Cogn. Dev. Syst., April, 2024

2023

Self-Supervised Single-Line LiDAR Depth Completion.

Junjie Hu, Chenyou Fan, Xiyue Guo, Liguang Zhou, Tin Lun Lam

IEEE Robotics Autom. Lett., November, 2023

Few-Shot Multi-Agent Perception With Ranking-Based Feature Learning.

Chenyou Fan, Junjie Hu, Jianwei Huang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Asymmetric Self-Play-Enabled Intelligent Heterogeneous Multirobot Catching System Using Deep Multiagent Reinforcement Learning.

Yuan Gao, Junfeng Chen, Xi Chen, Chongyang Wang, Junjie Hu, Fuqin Deng, Tin Lun Lam

IEEE Trans. Robotics, August, 2023

Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks.

Mingjian Liang, Junjie Hu, Chenyu Bao, Hua Feng, Fuqin Deng, Tin Lun Lam

IEEE Robotics Autom. Lett., July, 2023

Deep Depth Completion From Extremely Sparse Data: A Survey.

Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Attentional Graph Convolutional Network for Structure-Aware Audiovisual Scene Classification.

Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam, Yangsheng Xu

IEEE Trans. Instrum. Meas., 2023

Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation.

Junjie Hu, Chenyou Fan, Liguang Zhou, Qing Gao, Honghai Liu, Tin Lun Lam

CoRR, 2023

Peer Learning for Unbiased Scene Graph Generation.

Liguang Zhou, Junjie Hu, Yuhongze Zhou, Tin Lun Lam, Yangsheng Xu

CoRR, 2023

Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification.

Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam, Yangsheng Xu

CoRR, 2023

Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth.

Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lum Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning.

Junfeng Chen, Fuqin Deng, Yuan Gao, Junjie Hu, Xiyue Guo, Guanqi Liang, Tin Lun Lam

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Boosting LightWeight Depth Estimation via Knowledge Distillation.

Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Yuan Gao, Xiangyong Lu, Tin Lun Lam

Proceedings of the Knowledge Science, Engineering and Management, 2023

Descriptor Distillation for Efficient Multi-Robot SLAM.

Xiyue Guo, Junjie Hu, Hujun Bao, Guofeng Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Trajectory Prediction with Contrastive Pre-training and Social Rank Fine-Tuning.

Chenyou Fan, Haiqi Jiang, Aimin Huang, Junjie Hu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer.

Junjie Hu, Chenyou Fan, Hua Feng, Yuan Gao, Tin Lun Lam

CoRR, 2022

Data-free Dense Depth Distillation.

Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam

CoRR, 2022

Feature Pyramid Attention based Residual Neural Network for Environmental Sound Classification.

Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam, Yangsheng Xu

CoRR, 2022

Deep Depth Completion: A Survey.

Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam

CoRR, 2022

Private Semi-Supervised Federated Learning.

Chenyou Fan, Junjie Hu, Jianwei Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

A Two-Stage Unsupervised Approach for Low Light Image Enhancement.

Junjie Hu, Xiyue Guo, Junfeng Chen, Guanqi Liang, Fuqin Deng, Tin Lun Lam

IEEE Robotics Autom. Lett., 2021

Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment.

Xiyue Guo, Junjie Hu, Junfeng Chen, Fuqin Deng, Tin Lun Lam

IEEE Robotics Autom. Lett., 2021

Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems.

Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam

CoRR, 2021

AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth.

Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze

CoRR, 2021

Boosting Light-Weight Depth Estimation Via Knowledge Distillation.

Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Xiangyong Lu, Tin Lun Lam

CoRR, 2021

Few-Shot Multi-Agent Perception.

Chenyou Fan, Junjie Hu, Jianwei Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation.

Fuqin Deng, Hua Feng, Mingjian Liang, Hongmin Wang, Yong Yang, Yuan Gao, Junfeng Chen, Junjie Hu, Xiyue Guo, Tin Lun Lam

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation.

Hualie Jiang, Laiyan Ding, Junjie Hu, Rui Huang

Proceedings of the International Conference on 3D Vision, 2021

2020

Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets.

Yanbing Bai, Junjie Hu, Jinhua Su, Xing Liu, Haoyu Liu, Xianwen He, Shengwang Meng, Erick Mas, Shunichi Koshimura

Remote. Sens., 2020

Extending information maximization from a rate-distortion perspective.

Yan Zhang, Junjie Hu, Takayuki Okatani

Neurocomputing, 2020

A Multi-Sensor Data Fusion System for Laser Welding Process Monitoring.

Fuqin Deng, Yongshen Huang, Song Lu, Yingying Chen, Jia Chen, Hua Feng, Jianmin Zhang, Yong Yang, Junjie Hu, Tin Lun Lam, Fengbin Xia

IEEE Access, 2020

2019

Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method.

Junjie Hu, Takayuki Okatani

CoRR, 2019

Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries.

Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Visualization of Convolutional Neural Networks for Monocular Depth Estimation.

Junjie Hu, Yan Zhang, Takayuki Okatani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

A Convex Approach for Non-rigid Structure from Motion Via Sparse Representation.

Junjie Hu, Terumasa Aoki

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Improving the performance of non-rigid 3D shape recovery by points classification.

Junjie Hu, Terumasa Aoki

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

NON-rigid structure from motion via sparse self-expressive representation.

Junjie Hu, Terumasa Aoki

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017