191 Result(s)
within
English
Computer Science
Pattern Recognition
M. **gliang
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Article
Focus for Free in Density-Based Counting
This work considers supervised learning to count from images and their corresponding point annotations. Where density-based counting methods typically use the point annotations only to create Gaussian-density ...
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Chapter and Conference Paper
RF-Based Drone Detection with Deep Neural Network: Review and Case Study
Drones have been widely used in many application scenarios, such as logistics and on-demand instant delivery, surveillance, traffic monitoring, firefighting, photography, and recreation. On the other hand, the...
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Article
Open AccessContext-Driven Detection of Invertebrate Species in Deep-Sea Video
Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity on Earth. However, fully util...
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Chapter and Conference Paper
The Tenth Visual Object Tracking VOT2022 Challenge Results
The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published...
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Article
Open AccessFill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition
Every year, the VISion Understanding and Machine intelligence (VISUM) summer school runs a competition where participants can learn and share knowledge about Computer Vision and Machine Learning in a vibrant e...
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Article
Investigation of an Efficient Integrated Semantic Interactive Algorithm for Image Retrieval
In this research, a novel integrated semantic interactive algorithm for image retrieval is proposed to retrieve set of relevant images for a given query. The main challenge in image retrieval is to retrieve re...
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Article
Fine-Grained Instance-Level Sketch-Based Image Retrieval
The problem of fine-grained sketch-based image retrieval (FG-SBIR) is defined and investigated in this paper. In FG-SBIR, free-hand human sketch images are used as queries to retrieve photo images containing t...
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Chapter and Conference Paper
Deep Learning for Accurate Corner Detection in Computer Vision-Based Inspection
This paper describes application of deep learning for accurate detection of corner points in images and its application for an inspection system developed for the worker training and assessment. In our local b...
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Chapter and Conference Paper
Over-and-Under Complete Convolutional RNN for MRI Reconstruction
Reconstructing magnetic resonance (MR) images from under-sampled data is a challenging problem due to various artifacts introduced by the under-sampling operation. Recent deep learning-based methods for MR ima...
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Chapter and Conference Paper
Lossless Image Compression Using a Multi-scale Progressive Statistical Model
Lossless image compression is an important technique for image storage and transmission when information loss is not allowed. With the fast development of deep learning techniques, deep neural networks have be...
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Article
Open AccessPreference-based interactive multi-document summarisation
Interactive NLP is a promising paradigm to close the gap between automatic NLP systems and the human upper bound. Preference-based interactive learning has been successfully applied, but the existing methods requ...
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Chapter and Conference Paper
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction
Automatically segmenting sub-regions of gliomas (necrosis, edema and enhancing tumor) and accurately predicting overall survival (OS) time from multimodal MRI sequences have important clinical significance in ...
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Chapter and Conference Paper
Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN
Data-driven automatic approaches have demonstrated their great potential in resolving various clinical diagnostic dilemmas for patients with malignant gliomas in neuro-oncology with the help of conventional an...
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Chapter and Conference Paper
Few Is Enough: Task-Augmented Active Meta-learning for Brain Cell Classification
Deep Neural Networks (or DNNs) must constantly cope with distribution changes in the input data when the task of interest or the data collection protocol changes. Retraining a network from scratch to combat th...
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Chapter and Conference Paper
Brain Tumor Classification with Tumor Segmentations and a Dual Path Residual Convolutional Neural Network from MRI and Pathology Images
Brain tumor classification plays an important role in brain cancer diagnosis and treatment. Pathologists typically have to work through numerous pathology images that can be in the order of hundreds or thousan...
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Chapter and Conference Paper
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Multiple Object Tracking (MOT) is the third annual UAV MOT tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer...
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Chapter and Conference Paper
Seeing Things in Random-Dot Videos
The human visual system correctly groups features and can even interpret random-dot videos induced by imaging natural dynamic scenes. Remarkably, this happens even if perception completely fails when the same ...
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Chapter and Conference Paper
MR-to-US Registration Using Multiclass Segmentation of Hepatic Vasculature with a Reduced 3D U-Net
Accurate hepatic vessel segmentation and registration using ultrasound (US) can contribute to beneficial navigation during hepatic surgery. However, it is challenging due to noise and speckle in US imaging and...
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Chapter and Conference Paper
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
During fetoscopic laser photocoagulation, a treatment for twin-to-twin transfusion syndrome (TTTS), the clinician first identifies abnormal placental vascular connections and laser ablates them to regulate blo...
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Chapter
Unobtrusive Sensing Solution for Post-stroke Rehabilitation
Chapter an unobtrusive sensing solution for monitoring post-stroke rehabilitation exercises within a home environment. It begins with the definition of stroke, its types, statistics and effects. An overvi...
