32 Result(s)
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Article
Dehaze on small-scale datasets via self-supervised learning
Real-world dehazing datasets usually suffer from small scales because of high collection costs. If networks are trained with such insufficient data, it leads to not only low performance on objective metrics, b...
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Article
CEA-Net: a co-interactive external attention network for joint intent detection and slot filling
Intent detection and slot filling are two crucial tasks for spoken language understanding, and they are closely related. The accuracy of spoken language understanding depends strongly on the effectiveness of t...
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Article
Fast shape recognition via a bi-level restraint reduction of contour coding
Shape recognition is an active research topic in the field of computer vision and graphic computing. Nevertheless, existing methods are still poor in accuracy and efficiency in some extent, which greatly limit...
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Chapter and Conference Paper
Device-Free Cross-Environment Human Action Recognition Using Wi-Fi Signals
The research of human action recognition (HAR) based on Wi-Fi signals shows great application value in fields of human-computer interaction. However, many existing Wi-Fi-based HAR systems are vulnerable to env...
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Chapter and Conference Paper
MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report
Develo** and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lac...
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Chapter and Conference Paper
MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report
Develo** and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lac...
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Chapter and Conference Paper
UKGAT: Uncertain Knowledge Graph Embedding Enriched KGAT for Recommendation
Heterogeneous Information Networks (HINs) with complex structures and rich semantics, which show great flexibility in modeling the heterogeneous data of HINs, are widely used in recommendation systems. Effecti...
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Chapter and Conference Paper
Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase Recognition
Surgical phase recognition is of particular interest to computer assisted surgery systems, in which the goal is to predict what phase is occurring at each frame for a surgery video. Networks with multi-stage a...
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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...
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Chapter and Conference Paper
2D Amodal Instance Segmentation Guided by 3D Shape Prior
Amodal instance segmentation aims to predict the complete mask of the occluded instance, including both visible and invisible regions. Existing 2D AIS methods learn and predict the complete silhouettes of targ...
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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
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
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...
