16 Result(s)
within
**ting Jiang
Artificial Intelligence
Pattern Recognition
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Article
Inherit or discard: learning better domain-specific child networks from the general domain for multi-domain NMT
Multi-domain NMT aims to develop a parameter-sharing model for translating general and specific domains, such as biology, legal, etc., which often struggle with the parameter interference problem. Existing app...
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Article
Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets Training
Video quality assessment (VQA) is an important problem in computer vision. The videos in computer vision applications are usually captured in the wild. We focus on automatically assessing the quality of in-the...
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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
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
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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Article
Local attribute reductions of formal contexts
Attribute reductions is an important topic in formal concept analysis. The existing attribute reduction approaches are dominated by global reductions and there is very limited investigation on local reductions...
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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
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
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
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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Article
A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization
We propose a computational model which computes the importance of 2-D object shape parts, and we apply it to detect and localize objects with and without occlusions. The importance of a shape part (a localized...
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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
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
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...
