61 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Hong KongHK3 papers
- Chinese University of Hong KongHK2 papers
- University of BristolGB2 papers
- Xi'an Jiaotong UniversityCN2 papers
- Alibaba Group (China)CN1 paper
- Aristotle University of ThessalonikiGR1 paper
- ARM (United Kingdom)GB1 paper
- Australian Institute of BusinessAU1 paper
- Beijing Institute of TechnologyCN1 paper
- Beijing University of TechnologyCN1 paper
- Harbin Institute of TechnologyCN1 paper
- Hong Kong Footwear FederationCN1 paper
13 papers
SCOPE: Scale-Consistent One-Pass Estimation of 3D Geometry
Zheng Zhang, Lihe Yang, Tianyu Yang +6
We present SCOPE (Scale-Consistent One-Pass Estimation of 3D Geometry), a novel approach for estimating 3D geometry from extended monocular video sequences, where existing methods…
Force-Displacement Profiling for Robot-Assisted Deployment of a Left Atrial Appendage Occluder Using FBG-EM Distal Sensing
Giovanni Battista Regazzo, Wim-Alexander Beckers, Xuan Thao Ha +3
Atrial fibrillation (AF) increases the risk of thromboembolic events due to impaired function of the left atrial appendage (LAA). Left atrial appendage closure (LAAC) is a minimall…
Resilient Multimodal Industrial Surface Defect Detection with Uncertain Sensors Availability
Shuai Jiang, Yunfeng Ma, Jingyu Zhou +3
Multimodal industrial surface defect detection (MISDD) aims to identify and locate defect in industrial products by fusing RGB and 3D modalities. This article focuses on modality-m…
Real-Time Sampling-Based Safe Motion Planning for Robotic Manipulators in Dynamic Environments
Nermin Covic, Bakir Lacevic, Dinko Osmankovic +1
In this paper, we present the main features of Dynamic Rapidly-exploring Generalized Bur Tree (DRGBT) algorithm, a sampling-based planner for dynamic environments. We provide a det…
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection
Junfei Yi, Jianxu Mao, Tengfei Liu +5
Knowledge distillation (KD) is a widely adopted and effective method for compressing models in object detection tasks. Particularly, feature-based distillation methods have shown r…
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection
Tongkun Liu, Bing Li, Xiao Du +4
Image reconstruction-based anomaly detection models are widely explored in industrial visual inspection. However, existing models usually suffer from the trade-off between normal r…
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching
Kun Dai, Tao Xie, Ke Wang +3
Local feature matching is an essential component in many visual applications. In this work, we propose OAMatcher, a Tranformer-based detector-free method that imitates humans behav…
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
Tongkun Liu, Bing Li, Zhuo Zhao +3
Reconstruction-based methods are widely explored in industrial visual anomaly detection. Such methods commonly require the model to well reconstruct the normal patterns but fail in…
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection
Jiahe Fan, Mohammud J. Bocus, Brett Hosking +4
This paper presents a novel pothole detection approach based on single-modal semantic segmentation. It first extracts visual features from input images using a convolutional neural…
Future Frame Prediction for Robot-assisted Surgery
Xiaojie Gao, Yueming Jin, Zixu Zhao +2
Predicting future frames for robotic surgical video is an interesting, important yet extremely challenging problem, given that the operative tasks may have complex dynamics. Existi…
ATG-PVD: Ticketing Parking Violations on A Drone
Hengli Wang, Yuxuan Liu, Huaiyang Huang +8
In this paper, we introduce a novel suspect-and-investigate framework, which can be easily embedded in a drone for automated parking violation detection (PVD). Our proposed framewo…
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
Zixu Zhao, Yueming Jin, Xiaojie Gao +2
Performing low hertz labeling for surgical videos at intervals can greatly releases the burden of surgeons. In this paper, we study the semi-supervised instrument segmentation from…
EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation
Jiayi Zhang, Chongyang Tao, Zhenjing Xu +3
Generating qualitative responses has always been a challenge for human-computer dialogue systems. Existing dialogue systems generally derive from either retrieval-based or generati…