25 citations · 89 across the 12 of their papers we have counts for
12 papers
Action-Dynamics Modeling and Cross-Temporal Interaction for Online Action Understanding
Xinyu Yang, Zheheng Jiang, Feixiang Zhou +8
Online action understanding, encompassing action detection and anticipation, is central to numerous practical applications. However, untrimmed videos contain substantial redundant…
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization
Feixiang Zhou, Bryan Williams, Hossein Rahmani
Alleviating noisy pseudo labels remains a key challenge in Semi-Supervised Temporal Action Localization (SS-TAL). Existing methods often filter pseudo labels based on strict condit…
SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation
Feixiang Zhou, Zheheng Jiang, Huiyu Zhou +1
Semi-supervised temporal action segmentation (SS-TA) aims to perform frame-wise classification in long untrimmed videos, where only a fraction of videos in the training set have la…
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation
Fang Chen, Heiko Balzter, Feixiang Zhou +2
Successful implementation of oil spill segmentation in Synthetic Aperture Radar (SAR) images is vital for marine environmental protection. In this paper, we develop an effective se…
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
Feixiang Zhou, Xinyu Yang, Fang Chen +7
Automated social behaviour analysis of mice has become an increasingly popular research area in behavioural neuroscience. Recently, pose information (i.e., locations of keypoints o…
Structured Context Enhancement Network for Mouse Pose Estimation
Feixiang Zhou, Zheheng Jiang, Zhihua Liu +8
Automated analysis of mouse behaviours is crucial for many applications in neuroscience. However, quantifying mouse behaviours from videos or images remains a challenging problem,…
Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
Zheheng Jiang, Feixiang Zhou, Aite Zhao +5
Home-cage social behaviour analysis of mice is an invaluable tool to assess therapeutic efficacy of neurodegenerative diseases. Despite tremendous efforts made within the research…
SWIPENET: Object detection in noisy underwater images
Long Chen, Feixiang Zhou, Shengke Wang +5
In recent years, deep learning based object detection methods have achieved promising performance in controlled environments. However, these methods lack sufficient capabilities to…
Deep Learning Based Brain Tumor Segmentation: A Survey
Zhihua Liu, Lei Tong, Zheheng Jiang +6
Brain tumor segmentation is one of the most challenging problems in medical image analysis. The goal of brain tumor segmentation is to generate accurate delineation of brain tumor…
CANet: Context Aware Network for 3D Brain Glioma Segmentation
Zhihua Liu, Lei Tong, Long Chen +7
Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning. Based on deep neural networks, previous studies have…
A Benchmark dataset for both underwater image enhancement and underwater object detection
Long Chen, Lei Tong, Feixiang Zhou +5
Underwater image enhancement is such an important vision task due to its significance in marine engineering and aquatic robot. It is usually work as a pre-processing step to improv…
Cost-sensitive Boosting Pruning Trees for depression detection on Twitter
Lei Tong, Zhihua Liu, Zheheng Jiang +9
Depression is one of the most common mental health disorders, and a large number of depressed people commit suicide each year. Potential depression sufferers usually do not consult…