Junjie Hu (胡 君杰)
Junjie Hu (胡 君杰)
The Chinese University of Hong Kong (Shenzhen), Tohoku University
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Cited by
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Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries
J Hu, M Ozay, Y Zhang, T Okatani
2019 IEEE winter conference on applications of computer vision (WACV), 1043-1051, 2019
Visualization of convolutional neural networks for monocular depth estimation
J Hu, Y Zhang, T Okatani
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
F Deng, H Feng, M Liang, H Wang, Y Yang, Y Gao, J Chen, J Hu, X Guo, ...
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
X Guo, J Hu, J Chen, F Deng, TL Lam
IEEE Robotics and Automation Letters, 2021
Pyramid pooling module-based semi-siamese network: A benchmark model for assessing building damage from xBD satellite imagery datasets
Y Bai, J Hu, J Su, X Liu, H Liu, X He, S Meng, E Mas, S Koshimura
Remote Sensing 12 (24), 4055, 2020
Deep depth completion from extremely sparse data: A survey
J Hu, C Bao, M Ozay, C Fan, Q Gao, H Liu, TL Lam
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Boosting lightweight depth estimation via knowledge distillation
J Hu, C Fan, H Jiang, X Guo, Y Gao, X Lu, TL Lam
International Conference on Knowledge Science, Engineering and Management, 27-39, 2023
A Two-stage Unsupervised Approach for Low light Image Enhancement
J Hu, X Guo, J Chen, G Liang, F Deng, TL Lam
IEEE Robotics and Automation Letters, 2021
PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation
H Jiang, L Ding, J Hu, R Huang
IEEE International Conference on 3D Vision (3DV), 2021
Analysis of deep networks for monocular depth estimation through adversarial attacks with proposal of a defense method
J Hu, T Okatani
arXiv preprint arXiv:1911.08790, 2019
A multi-sensor data fusion system for laser welding process monitoring
F Deng, Y Huang, S Lu, Y Chen, J Chen, H Feng, J Zhang, Y Yang, J Hu, ...
IEEE Access 8, 147349-147357, 2020
Private Semi-Supervised Federated Learning
C Fan, J Hu, J Huang
International Joint Conference on Artificial Intelligence (IJCAI), 2009-2015, 2022
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks
M Liang, J Hu, C Bao, H Feng, F Deng, TL Lam
IEEE Robotics and Automation Letters, 2023
Feature pyramid attention based residual neural network for environmental sound classification
L Zhou, Y Zhou, X Qi, J Hu, TL Lam, Y Xu
arXiv preprint arXiv:2205.14411, 2022
Attentional Graph Convolutional Network for Structure-Aware Audiovisual Scene Classification
L Zhou, Y Zhou, X Qi, J Hu, TL Lam, Y Xu
IEEE Transactions on Instrumentation and Measurement 72, 1-15, 2023
Learn2Agree: Fitting With Multiple Annotators Without Objective Ground Truth
N Berthouze, C Wang, Y Gao, C Fan, J Hu, TL Lam, ND Lane
International Conference on Learning Representations Workshop, 2023
BaSICNet: Lightweight 3D Hand Pose Estimation Network Based on Biomechanical Structure Information for Dexterous Manipulator Teleoperation
W Pang, Q Gao, Y Zhao, Z Ju, J Hu
IEEE Transactions on Cognitive and Developmental Systems, 2022
Few-shot multi-agent perception
C Fan, J Hu, J Huang
Proceedings of the 29th ACM International Conference on Multimedia, 1712-1720, 2021
Dense depth distillation with out-of-distribution simulated images
J Hu, C Fan, M Ozay, H Jiang, TL Lam
Knowledge-Based Systems, 111312, 2024
Multirobolearn: An open-source framework for multi-robot deep reinforcement learning
J Chen, F Deng, Y Gao, J Hu, X Guo, G Liang, TL Lam
2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1-6, 2023
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