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Research Publications - Environment Sensing

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We enable machines' understanding of the surrounding environment through advanced machine learning algorithms and a wide range of sensors, including LiDAR, RGB-D cameras and 360 cameras, covering tasks such as scene segmentation, object detection, depth estimation and environment capturing.

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Impact Factor 0.0+

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation  Oral Paper (Top 2.3% of 8585 Submissions)   H5-Index: 206# Core A* Conference‡ 
Proceedings of the 2024 European Conference on Computer Vision (ECCV), 2024
Li Li, Hubert P. H. Shum and Toby P. Breckon
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U3DS3: Unsupervised 3D Semantic Scene Segmentation
U3DS3: Unsupervised 3D Semantic Scene Segmentation    H5-Index: 109# Core A Conference‡ 
Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
Jiaxu Liu, Zhengdi Yu, Toby P. Breckon and Hubert P. H. Shum
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TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training    H5-Index: 65#  
Proceedings of the 2024 British Machine Vision Conference (BMVC), 2024
Li Li, Tanqiu Qiao, Hubert P. H. Shum and Toby P. Breckon
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Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation     Core A* Conference‡ Citation: 36#
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Li Li, Hubert P. H. Shum and Toby P. Breckon
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Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation
Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation     Core A* Conference‡ 
Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
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360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network
360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network     Core A* Conference‡ Citation: 16#
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2022
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
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DurLAR: A High-fidelity 128-Channel LiDAR Dataset with Panoramic Ambientand Reflectivity Imagery for Multi-Modal Autonomous Driving Applications
DurLAR: A High-fidelity 128-Channel LiDAR Dataset with Panoramic Ambientand Reflectivity Imagery for Multi-Modal Autonomous Driving Applications    H5-Index: 51#  Citation: 19#
Proceedings of the 2021 International Conference on 3D Vision (3DV), 2021
Li Li, Khalid N. Ismail, Hubert P. H. Shum and Toby P. Breckon
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Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction
Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction      
Proceedings of the 2021 Visual Computing (VC), 2021
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
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Foreground-Aware Dense Depth Estimation for 360 Images
Foreground-Aware Dense Depth Estimation for 360 Images      
Journal of WSCG - Proceedings of the 2020 International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 2020
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
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Depth Sensor Based Facial and Body Animation Control
Depth Sensor Based Facial and Body Animation Control      
Book Chapter: Handbook of Human Motion, 2016
Yijun Shen, Jingtian Zhang, Longzhi Yang and Hubert P. H. Shum
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Serious Games with Human-Object Interactions using RGB-D Camera
Serious Games with Human-Object Interactions using RGB-D Camera      
Proceedings of the 2013 ACM International Conference on Motion in Games (MIG) Posters, 2013
Hubert P. H. Shum
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Environment Capturing with Microsoft Kinect
Environment Capturing with Microsoft Kinect      
Proceedings of the 2012 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2012
Kevin Mackay, Hubert P. H. Shum and Taku Komura
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† According to Journal Citation Reports 2023
‡ According to Core Ranking 2023
# According to Google Scholar 2024

 

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