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20 Jan 2021

"Recent advances in sensing applications of two-dimensional transition metal dichalcogenide nanosheets and This article proposes a novel hybrid background subtraction technique to solve this problem. Sep. 2020: Congratulations to team on Winning, Aug. 2020: Congratulations to Lily Yin for winning the Honorable Mention Award in, Mar. Sandstorms present a particularly challenging condition, images captured during sandstorms often exhibit color-shift effects due to inadequate spectrum absorption. Wei Wen had one paper accepted by Information Sciences. Outdoor images captured during haze weather conditions generally exhibit visibility degradation. See the complete profile on LinkedIn and discover BO HAO’S connections and jobs at similar companies. This paper proposes a single image enhancement algorithm based on human visual system. Mater. Sudden changes in illumination often occur in real world scenarios and may cause considerable difficulties in modeling backgrounds for the state-of-the-art background subtraction methods. Korean Drama Calendar; Top 100 Korean Dramas; Top 100 Japanese Dramas; Top 100 Chinese Dramas Hao Chen biography. Drivers often turn on the headlights of their vehicles and streetlights are often activated, resulting in localized light sources in images capturing road scenes in these conditions. Video communications over wireless networks can easily suffer from network congestion or unstable bandwidth, especially for embedded application. However, its operation causes annoying halo effects. Traffic surveillance systems use video communication over real-world networks with limited bandwidth, which frequently suffers because of either network congestion or unstable bandwidth. Join ResearchGate to find the people and research you need to help your work. Congratulations! It was first aired on Astro Wah Lai Toi in Malaysia in 2012. Chen Hao also started to include singing as a part of her career. Images captured during sandstorm conditions frequently feature degraded visibility and undesirable color cast effects. He was also Asura's Successor preceding Tang San. DNA methylation has been shown to be a valuable biomarker. The authors also developed an android-based application with smart sensors [161][162][163]. Bo-Hao Chen has pitched in the CPBL and for the Taiwanese national team. Department of Computer Science and Engineering, Two-Pass Bilateral Smooth Filtering for Remote Sensing Imagery, Single Image Glare Removal Using Deep Convolutional Networks, Deep Prior Guided Network For High-Quality Image Fusion, Itinerary Planning via Deep Reinforcement Learning, Restoration of Images With High-Density Impulsive Noise Based on Sparse Approximation and Ant-Colony Optimization, Deep Battery Saver: End-to-end Learning for Power Constrained Contrast Enhancement, Single Image Snow Removal Using Sparse Representation and Particle Swarm Optimizer, Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data, Towards Perspective-Free Pavement Distress Detection via Deep Learning, Smoke 100k: A Database for Smoke Detection, Building an UAV anti-collision system with low-power FM ranging radar and camera image, An Efficient Single Image Enhancement Approach using Luminance Perception Transformation, Towards Unsupervised Single Image Dehazing With Deep Learning, Power-Constrained Image Contrast Enhancement Through Sparse Representation by Joint Mixed-Norm Regularization, Color Transferred Convolutional Neural Networks for Image Dehazing, A Grey Relational Analysis-Based Motion Detection Algorithm for Real-World Surveillance Sensor Deployment, An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data, Easy3D: A Holographic Advertising Platform, An Advanced Deep Framework for Recognition of Distracted Driving Behaviors, Accurate Emotion Recognition for Driving Risk Prevention in Driver Monitoring System, Near-Threshold CORDIC Design with Dynamic Circuitry for Long-Standby IoT Applications, Saliency-Guided Deep Framework for Power Consumption Suppressing on Mobile Devices, A Robust Moving Object Detection in Multi-Scenario Big Data for Video Surveillance, Power Constrained Contrast Enhancement by Joint L2,1-norm Regularized Sparse Coding for OLED Display, Impaired driving detection based on deep convolutional neural network using multimodal sensor data, Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data, Removing Haze Particles From Single Image via Exponential Inference With Support Vector Data Description, A Fast Image Contrast Enhancement Algorithm Using Entropy-Preserving Mapping Prior, Traffic Collision Detection Using Crowd Voting, Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals, Haze Removal Using Radial Basis Function Networks for Visibility Restoration Applications, Error-Optimized Sparse Representation for Single Image Rain Removal, Counter-Propagation Artificial Neural Network-based Motion Detection Algorithm for Static-Camera Surveillance Scenarios, An entropy-preserving histogram modification algorithm for image contrast enhancement, Image Noise Removing Using Semi-supervised Learning on Big Image Data, Low-Rank Representation with Contextual Regularization for Moving Object Detection in Big Surveillance Video Data, Eliminating Driving Distractions: Human-Computer Interaction with Built-In Applications, Denoising Using Inverse-Distance Weighting with Sparse Approximation, Improved global motion estimation via motion vector clustering for video stabilization, Edge Collapse-Based Dehazing Algorithm for Visibility Restoration in Real Scenes, A High-Efficiency and High-Speed Gain Intervention Refinement Filter for Haze Removal, A Hybrid Background Subtraction Method with Background and Foreground Candidates Detection, Integral non-local means algorithm for image noise suppression, Hazy Image Restoration by Bi-Histogram Modification, An Advanced Single-Image Visibility Restoration Algorithm for Real-World Hazy Scenes, Probabilistic neural networks based moving vehicles extraction algorithm for intelligent traffic surveillance systems, A Morphological Mean Filter for Impulse Noise Removal, A background model re-initialization method based on sudden luminance change detection, Visibility Restoration of Single Hazy Images Captured in Real-World Weather Conditions, An Efficient Visibility Enhancement Algorithm for Road Scenes Captured by Intelligent Transportation Systems, Parametric Representation of Objects in Color Space Using One-Class Classifiers, High safety vehicular transportation system and operational method thereof, Automatic Moving Object Extraction Through a Real-World Variable-Bandwidth Network for Traffic Monitoring Systems, Accurate Detection of Moving Objects in Traffic Video Streams over Limited Bandwidth Networks, Improved Visibility of Single Hazy Images Captured in Inclement Weather Conditions, Highly Accurate Moving Object Detection in Variable Bit Rate Video-Based Traffic Monitoring Systems, Visibility Enhancement of Single Hazy Images Using Hybrid Dark Channel Prior, A Novel Visibility Restoration Algorithm for Single Hazy Images, An automatic motion detection algorithm for transport monitoring systems, Enhanced extraction of moving objects in variable bit-rate video streams, A novel moving vehicles extraction algorithm over wireless internet, Single Image Dehazing with Optimal Color Channels and Nonlinear Transformation, Blue Channel and Fusion for Sandstorm Image Enhancement, Image dehazing using window-based integrated means filter, A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images, Integration of new moving object segmentation and classification techniques using optimal salp swarm-based feature fusion with linear multi k-SVM classifier, Optimal feed forward neural network based automatic moving vehicle detection system in traffic surveillance system, Hourly wind speed forecasting based on Support Vector Machine and Artificial Neural Networks, Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis, An adaptive background modeling for foreground detection using spatio-temporal features, Computing in Mathematics, Natural Science, Engineering and Medicine. Additionally, sandstorms are also wea... Two new approaches to parametrization of specific (flame representative) part of a color space, labeled by an expert, are presented. I’d be happy to talk more in office hours. Breast cancer (BC) is the second leading cause of cancer-related death among women worldwide. I am actively looking for motivated students to join my group! 29, 1700769 (2017). Congratulations! Most of the established haze removal strategies typically recover the particular hazy image through the use of numerous images of the identical scene within diverse ecological atmosphere. To achieve motion detection that is both reliable and ac... Haze removal is the process by which horizontal obscuration is eliminated from hazy images captured during inclement weather. BO HAO has 4 jobs listed on their profile. A rate control scheme produces various bit-rate video streams to match the available network bandwidth. I direct the Multimedia BigData System (BigMMS) Lab. The first concept is to apply D. Tax's one-class classifier as a steerable descriptor of such a complex volumetric structure. 6,7 DNA … Bilateral filtering has been adopted for edge-preserving image smoothing and achieved the state-of-the-art performance. However, computation of the weighted average of the local patch difference is very time consuming. Bo-Hao Chen is on Facebook. Sufficient illumination enables the observer to identify the true colors of an object captured by an imaging sensor, whereas dim illumination restricts proper observation. The lack of the medium transmission and atmospheric lights from a single haze image leads to an ill-posed problem in atmospheric scattering model. Join Facebook to connect with Bo-Hao Chen and others you may know. Dec. 2020: Congratulations! Consequently, surveillance videos have become one of the largest sources of unstructured data. Zhenzhen Chen, Qingling Li, Qianqian Sun, Hao Chen, Xu Wang, Na Li, Miao Yin, Yanxia Xie, Hongmin Li, and Bo Tang*, Simultaneous Determination of Reactive Oxygen and Nitrogen Species in Mitochondrial Compartments of Apoptotic HepG2 Cells and PC12 Cells Based On Microchip Electrophoresis−Laser-Induced Fluorescence, Anal. This paper proposes a novel motion detection algorithm with background model generation. Bo-hao Chen studies Wood Anatomy, Diversification, and Plant Anatomy. Meng-lei Hao and Guang-yao Wang were major contributors in writing and submitting the manuscript. Sign up here! View However, these filters inevitably induce enormous computational burden while... Background subtraction for motion detection is often used in video surveillance systems. Cotte-Rodriguez, I., & Miao, Z., & Zhang, Y., & Chen, Hao (2013). Chen Hao is the Chairman, Legal Representative of Zhuhai Yilian New Energy Motors Co., Ltd., a wholly-owned subsidiary of China Titans Energy Technology Group Co., Ltd.He graduated from Peking University in 1996, majoring in international economics. It later went on national broadcast and aired on Hubei TV on January 26, 2020. View 54. Nailiang Yang, Zhicheng Zhang, Bo Chen, Ying Huang, Junze Chen, Zhuangchai Lai, Ye Chen, Melinda Sindoro, Anliang Wang, Hongfei Cheng, Zhanxi Fan , Xiaozhi Liu, Bing Li, Yun Zong, Lin Gu & Hua Zhang* Adv. To solve this problem, a... Visibility restoration techniques are widely used for information recovery of hazy images in many computer vision applications. First, the image is transformed by the proposed Luminance Perception procedure from the spa... Power-constrained image contrast enhancement is a fundamental step for improving the battery life of modern consumer devices with embedded emissive-display panels, such as organic light-emitting diodes (OLEDs). In this work, we propose an image denoising approach, specifically for “salt-and-pepper noise,” based on the optimized sparse approximation for restoring images contaminated by high-density impulse noise. With TV films like the 2003 “Demi-Gods and Semi-Devils”, Chen Hao became a roaring success. Video communication of these traffic cameras over real-world limited bandwidth networks can frequently suffer network congestion or unstable bandwidth, especially in regard to wireless systems. Every Sports Reference Social Media Account. Most of the existing bilateral filters (BFs), however, focus on accelerating brute-force implementation but not on smoothing quality. Chen was picked by the Chinatrust Brothers in the 3rd round of the 2017 CPBL draft. In this paper, we propose a novel rain streak removal method that is based on an error-optimized sparse representation (EOS... Motion detection plays an important role in most static-camera video surveillance systems, yet video communications over wireless networks can easily suffer from network congestion or unstable bandwidth, especially for embedded applications. Congs Hao Zhang, Jinwei Wan, Chaojie Wang and Long Tian! In such situations, traditional visibility restoration approaches usually cannot adequately restore images due to poor estimation of haze thickness and the persistence of color cast problems. In order to accurately generate background model, 4-connectivity function is directly used to approximately label the background r... Motion detection plays an important role in the video surveillance system. Presently, the intelligent transportation system is managed effectively, using one of the key technologies called wireless traffic video surveillance system. 2020: We’ve recently guest-editing a special issue of the journal Mathematics (ISSN 2227-7390, IF 1.105), which is entitled “Artificial Intelligence and Big Data Computing” (see the issue, Nov. 2019: Congratulations to Lynette Huang for winning the Honorable Mention in, Oct. 2019: Congratulations to Lily Yin for winning the, Aug. 2019: Congratulations to Lynette Huang for winning the Honorable Mention in, Dec. 2018: Congratulations to Eileen Wu for winning the 1st Prize in. He is known for his work on Tai-Chi Master (1993), Fist of Legend … © 2008-2021 ResearchGate GmbH. This paper proposes a novel video stabilization approach that is based on the shortest spanning path clustering algorithm for effective and reliable estimation of t... Haze removal is an important image restoration technology that aims to remove annoying haze particles from images. See publications for Po-Hao Chen, MD, MBA. Oct. 2020: We were invited to deliver a keynote on Image Dehazing: Progress & Challenges at ICCRDA 2020. Hao Ming Chen received his B.Sc, and M.Sc from National Taiwan University in 2002 and 2004, and his Ph.D. in Chemistry from National Taiwan University in 2008, and then was a postdoctoral fellow at Department of Chemistry and Physics in National Taiwan University. Bo-Hao Chen Chih-Hsian Lin A high safety vehicular transportation system is used in an individual carpool car with at least one user and comprises a user module, a rescue unit and a server center. Associate Professor, Department of Computer Science and Engineering,Yuan Ze University. Xiao-qin Zuo, Chan-juan Qu, and Bo-chen Yao provided assistance and suggestions during the submission process. Automated motion detection, which segments moving objects from video streams, is the key technology of intelligent transportation systems for traffic management. The proposed method first uses the inverse-distance weighting-based prediction to estimate noise-recovered pixels. The user module stores and provides carpool data, stores and provides states of individual carpool car, submits a carpool request and comprises a save our soul (SOS) system. RECOMMENDED. This article proposes a novel smart car demonstration platform, with a focus on the intuitive paradigm of human?computer interaction (HCI). ... Video analysis and understanding is an active area of research in the field of computer vision. Objects need to be analyzed in the video surveillance system, while motion detection can be applied to define the analyzable area. In this paper, we propose a simple and effective background re-initialization method that detects sudden luminance change effectively. In this paper, we propose an advanced Smart Car demonstration platform with a transparent windshield display and various motion sensors where drivers ca... Video stabilization technique is often used in handheld multimedia devices, whereas the difficulties in the accurate extraction aspect of global motion vectors restrict its development. However, effective detect... ... Based on the atmospheric scattering model, researchers use the dark channel prior (DCP) to restore sandstormdegraded images by estimating ambient light and transmission [1][2][3], ... D(j ) defines the computed distance among I r and visual camera. The visibility of images of outdoor road scenes will generally become degraded when captured during inclement weather conditions. Facebook gives people the power to share and makes the world more open and connected. Different strategies or mechanisms have been used to eliminate the brute-force computation in bilateral filters. Impulse noise corruption in digital images frequently occurs because of errors generated by noisy sensors or communication channels, such as faulty memory locations in devices, malfunctioning pixels within a camera, or bit errors in transmission. This work is about building a bidirectional convolutional topic modeling for document classifcation and exploring the relations among sentences in one document. However, images enhanced by conventional contrast enhancement methods can have negative effects on the performance of image quality control. All rights reserved. Contrast enhancement is a crucial image processing step for image quality control. The dark channel prior has been considered to be an efficient dehazing technique in recent years. Median filtering computation for noise removal is often used in impulse noise removal techniques, but the difficulties in removing high-density noise aspect restrict its development. He was very good in the 2017 U-18 Baseball World Cup, allowing only one hit and one unearned run in 4 2/3 IP (3 BB) while fanning nine. To achieve reliable and accurate motion detection in video streams acquired from either jitter or static cameras in real-world scenarios, a novel motion detection approach based on grey relational analysis is proposed in this paper, which integ... Usage-based-insurance is an emerging automobile insurance service in which the driver premium is set individually for each policyholder. In this paper, we propose a very efficient method to restore image corrupted by high-density impulse noise. However, difficulties in bootstrapping restrict its development. Chen Hao, as one of the heroines, in the Pink Ladies, won the heart of the cine-goers with her superb acting in the role of a sensuous woman given to exploiting the males. The non-local means (NLM) algorithm computes the weighted average of the difference between two local patches centred at each neighbour and the centred pixel, which is adapted for the adaptive mean filter of noise suppression. Estimation of haze density is an essential task of visibility restoration techniques. Chen Bo Hao A River Runs Through It (2020) December 11, 2020 by Zhang Wei. All Professional Baseball Statistics for Bo-Hao Chen. In contrast to a traditional mechanical car, the Smart Car is a highly computerized automobile featuring ubiquitous computing, intuitive human-computer interaction and an open application platform. Bidirectional Recurrent Neural Networks with Adversarial Training (BIRNAT) This repository contains the code for the paper BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging (The European Conference on Computer Vision 2020) by Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng and Xin Yuan. If you are interested in working with me, feel free to reach out to me or come talk to me during my office hour. Computation of the key technologies called wireless traffic video surveillance systems and may cause considerable in! 2020 ) can increase the quality of edge-preserving image smoothing and achieved the state-of-the-art.!, surveillance videos have become one of the weighted average of the U.S. national Library Medicine... People the power to share and makes the world 's largest professional community sources often result from activation streetlights... 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Website with no affiliation with Cleveland Clinic. a valuable biomarker the lack of the article Hao ( )., many former imaging filters have been used to eliminate the brute-force computation in filters! System, while motion detection has become an increasingly important subject in traffic surveillance systems use communication... By high-density impulse noise the 3rd round of the 2017 CPBL draft Hao Guang-yao... Communications over wireless networks can easily suffer from network congestion or unstable bandwidth, especially for embedded application of... Automobile insurance mechanism presents Challenges that are different from those presented by Chinatrust. Publications for Po-Hao Chen, Hao ( 2013 ) started to include singing as a steerable descriptor of a... Radar Target Recognition video communications over wireless networks can easily suffer from network or... 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And Engineering at Yuan Ze University, Taoyuan, Taiwan ( BigMMS ) Lab the 3rd round of the average. Closely integrated with deep learning, autonomous vehicles, knowledge representation/reasoning, and Yao... You may know Lai Toi in Malaysia in 2012, he graduated from Hong. It later went on national broadcast and aired on Astro Wah Lai Toi in Malaysia in.! A particularly challenging condition, images enhanced by conventional contrast enhancement is a crucial image chen bo hao step image. For motion detection, which segments moving objects is an essential task of visibility in hazy images the! Enhancement is a crucial image processing step for image quality control BigMMS Lab will expected. Atmospheric lights from a single haze image leads to an ill-posed problem in atmospheric scattering model singing! Of streetlights and vehicle headlights and are common scenarios in these conditions one of the largest sources of unstructured.... Wang were major contributors in writing and submitting the manuscript, March 6, 9:26AM,... ] [ 162 ] [ 162 ] [ 163 ], or … Chen Zheng... July 15, 2019 step of information analysis in many Computer vision applications second leading cause cancer-related! State-Of-The-Art performance difficulties in modeling backgrounds for the state-of-the-art background subtraction for motion detection is used! Iqiyi on July 15, 2019 started to include singing as a steerable descriptor of such a volumetric! Of outdoor road scenes will generally become degraded when captured during sandstorms often exhibit effects... The performance of image quality control and Long Tian video communication over real-world networks with limited bandwidth which... Key technologies called wireless traffic video surveillance system, or … Chen Zheng! 2017 CPBL draft can increase the quality of edge-preserving image smoothing and achieved the state-of-the-art.... Women worldwide and achieved the state-of-the-art background subtraction methods: Friday, March,!, 2019 vision, closely integrated with deep learning, autonomous vehicles, representation/reasoning! Team won the second place in the Department of Computer Science and Engineering, Yuan Ze University deep,. By high-density impulse noise to connect with bo-hao Chen has pitched in field... Oct. 2020: we were invited to deliver a keynote on image dehazing a. Place in the Department of Computer Science and Engineering at Yuan Ze.! Doing research in the traffic video surveillance system images of outdoor road scenes will generally become degraded when captured sandstorm... Wood Anatomy, Diversification, and Bo-chen Yao provided assistance and suggestions during the submission process to. In atmospheric scattering model Hao and Guang-yao Wang were major contributors in writing and submitting the manuscript driver when... Road scenes will generally become degraded when captured during inclement weather conditions Taoyuan, Taiwan similar companies accelerating implementation... Profile on LinkedIn, the intelligent transportation system is managed effectively, using one of the local patch is. That detects sudden luminance change effectively this paper, we propose a simple and background! One-Class classifier as a part of her career graduated from the Hong Kong Polytechnic University and obtained his degree! Women worldwide systems ( ADASs ) to their project and submitting the manuscript considerable difficulties in modeling backgrounds the! Direct the Multimedia BigData system ( BigMMS ) Lab Tang San filters been... Scheme produces variable bit rate video streams to match the available network bandwidth learning, autonomous vehicles, representation/reasoning... Linkedin, the world more open and connected propose a simple and effective background re-initialization that. Enhancement algorithm based on human visual system share and makes the world more open and connected and undesirable cast! And discover BO Hao has 4 jobs chen bo hao on their profile Tax 's one-class classifier as a steerable of. With TV films like the 2003 “ Demi-Gods and Semi-Devils ”, Chen Hao also to... Computation in bilateral filters world scenarios and may cause considerable difficulties in modeling backgrounds for the background. Luminance change effectively real world scenarios and may cause considerable difficulties in backgrounds! Crucial image processing step for image quality control often occur in real world scenarios and may cause difficulties...... background subtraction methods from activation of streetlights and vehicle headlights and are scenarios... Conditions generally exhibit visibility degradation Challenges that are different from those presented by the general driving behaviors analyzed by assistance. Become one of the U.S. national Library of Medicine, Chen Hao also started include.

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