26 Result(s)
within
Conference Paper
**ting Jiang
Image Processing and Computer Vision
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Chapter and Conference Paper
Level-Set Curve Particles
In many applications it is necessary to track a moving and deforming boundary on the plane from infrequent, sparse measurements. For instance, each of a set of mobile observers may be able to tell the position...
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Chapter and Conference Paper
Study on Synthetic Evaluation of Human Performance in Manually Controlled Spacecraft Rendezvous and Docking Tasks
Manual-Control Rendezvous and Docking (MCRVD) is a complex and demanding task which requires astronauts to control the direction of six-freedom of the spacecraft accurately by hand. Its performance has a close...
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Chapter and Conference Paper
Quality Estimation for H.264/SVC Inter-layer Residual Prediction in Spatial Scalability
Scalable Video Coding (SVC) provides an efficient compression for the video bitstream equipped with various scalable configurations. H.264 scalable extension (H.264/SVC) is the most recent scalable coding stan...
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Chapter and Conference Paper
Toward Perception-Based Shape Decomposition
The aim of this work is to decompose shapes into parts which are consistent to human perception. We propose a novel shape decomposition method which utilizes the three perception rules suggested by psychologic...
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Chapter and Conference Paper
A Novel Recommendation Service Method Based on Cloud Model and User Personality
The number of Internet Web services has become increasingly large recently. Cloud services consumers face a critical challenge in selecting services from abundant candidates. Due to the uncertainty of Web serv...
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Chapter and Conference Paper
No-Reference Video Shakiness Quality Assessment
Video shakiness is a common problem for videos captured by hand-hold devices. How to evaluate the influence of video shakiness on human perception and design an objective quality assessment model is a challeng...
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Chapter and Conference Paper
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification
Recognition of surgical gesture is crucial for surgical skill assessment and efficient surgery training. Prior works on this task are based on either variant graphical models such as HMMs and CRFs, or deep lea...
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Chapter and Conference Paper
Dynamical Analysis of a Stochastic Neuron Spiking Activity in the Biological Experiment and Its Simulation by INa,P + I K Model
An irregular on-off like spiking activity is observed in the rat neural pacemaker experiment with the changes of extracellular calcium concentration. The spiking activity is simulated using a minimal model, th...
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Chapter and Conference Paper
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
Surgical skill assessment is important for surgery training and quality control. Prior works on this task largely focus on basic surgical tasks such as suturing and knot tying performed in simulation settings....
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Chapter and Conference Paper
Simulation of a Chaos-Like Irregular Neural Firing Pattern Based on Improved Deterministic Chay Model
In this paper, the deterministic Chay model was improved considering the generation mechanism of an action potential, with special relevance to the opening of potassium channel after depolarization. Then a cha...
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Chapter and Conference Paper
Hard Frame Detection and Online Map** for Surgical Phase Recognition
Surgical phase recognition is an important topic of Computer Assisted Surgery (CAS) systems. In the complicated surgical procedures, there are lots of hard frames that have indistinguishable visual features bu...
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Chapter and Conference Paper
Simulation of Complex Neural Firing Patterns Based on Improved Deterministic Chay Model
In this study, the deterministic Chay model is improved considering the K+ channel opening probability during the generation of the generation mechanism of action potential. It can not only simulate the periodic ...
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Chapter and Conference Paper
Blur-Specific No-Reference Image Quality Assessment: A Classification and Review of Representative Methods
Blur is one of the most common distortions that affect image quality, and this work focuses on blur-specific no-reference image quality assessment (NR-IQA). Since various blur-specific NR-IQA methods have been...
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Chapter and Conference Paper
Clinical-Inspired Network for Skin Lesion Recognition
Automated skin lesion recognition methods are useful for improving the diagnostic accuracy in dermoscopy images. However, several challenges delayed the pace of the development of these methods, including limi...
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Chapter and Conference Paper
A Visualization Analysis Approach for Logistics Customer Maintenance
Customer maintenance plays a critical role in operating the logistics corporations. Motivated by the recent massive employment of data science in this field, analysts tend to solve customer maintenance problem...
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Chapter and Conference Paper
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Surgical instrument segmentation is a key component in develo** context-aware operating rooms. Existing works on this task heavily rely on the supervision of a large amount of labeled data, which involve lab...
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Chapter and Conference Paper
Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images
Automated skin lesion segmentation is essential to assist doctors in diagnosis. Most methods focus on lesion segmentation of dermoscopy images, while a few focus on clinical images. Nearly all the existing met...
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Chapter and Conference Paper
Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal Difference
Automatic segmentation of hepatocellular carcinoma (HCC) in Digital Subtraction Angiography (DSA) videos can assist radiologists in efficient diagnosis of HCC and accurate evaluation of tumors in clinical prac...
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Chapter and Conference Paper
Multi-level Relationship Capture Network for Automated Skin Lesion Recognition
Automated skin lesion recognition of dermoscopy images is effective for improving diagnostic performance. Current popular solutions either leverage a single image to learn better feature representations or tak...
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Chapter and Conference Paper
Reimagining “Space”: An Approach to Increase Participants’ Social Aspects During Online Conferencing
Online conferencing has become a new normal after the COVID-19 pandemic. However, existing systems like ZOOM fall short of facilitating informal social aspects like chats, talks, discussions, dialogues, gather...
