chen bo hao

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. The lack of the medium transmission and atmospheric lights from a single haze image leads to an ill-posed problem in atmospheric scattering model. I direct the Multimedia BigData System (BigMMS) Lab. Automated vehicle detection plays an essential role in the traffic video surveillance system. It was first aired on Astro Wah Lai Toi in Malaysia in 2012. This work is about building a bidirectional convolutional topic modeling for document classifcation and exploring the relations among sentences in one document. However, its operation causes annoying halo effects. 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. However, computation of the weighted average of the local patch difference is very time consuming. Such analysis is essential for monitoring driver performance. Overall: A River Runs Through It is a Chinese Romance, Drama (2020). Zhengjue Wang, Bo Chen*, Hao Zhang and Hongwei Liu, Variational Probabilistic Generative Framework for Single Image Super-Resolution, Signal Processing, 156, 92-105, 2019. In this paper, a novel framewo... Advanced wireless imaging sensors and cloud data storage contribute to video surveillance by enabling the generation of large amounts of video footage every second. Outdoor images captured during haze weather conditions generally exhibit visibility degradation. 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. All authors read and approved the final manuscript. Shi-Ting Ye received, Oct. 2020: Congratulations to Shi-Ting Ye for winning the Honorable Mention in, Oct. 2020: Congratulations to Lily Yin for winning the Merit Award in. © 2008-2021 ResearchGate GmbH. Automated motion detection has become an increasingly important subject in traffic surveillance systems. Sign up here! 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. The visibility of outdoor images captured in inclement weather will become degraded due to the presence of haze, fog, mist, and so on. 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. Xiao-qin Zuo, Chan-juan Qu, and Bo-chen Yao provided assistance and suggestions during the submission process. However, conventional motion detection techniques often suffer from the loss of moving objects due to bit-rate variation in video streams transmitted via wireless video communication systems. The visibility of images of outdoor road scenes will generally become degraded when captured during inclement weather conditions. Mater. Chen Hao also started to include singing as a part of her career. In poor weather conditions, s cf (j ) is assumed to be free from λ and t ∈ [0, 1], ... Specifying a single patch size for images with possibly complex and heterogeneous content might lead to a non-ideal fit for their different regions. 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. I am an Associate Professor in the Department of Computer Science and Engineering at Yuan Ze University. 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. Chulin Xie*, Chuxin Wang*, Bo Zhang, Hao Yang, Dong Chen, Fang Wen In Submission : DBA: Distributed Backdoor Attacks against Federated Learning Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li International Conference on Learning Representations (ICLR) 2020 : Attack-Resistant Federated Learning with Residual-based Reweighting Site Last Updated: Friday, March 6, 9:26AM Question, Comment, Feedback, or … Video communications over wireless networks can easily suffer from network congestion or unstable bandwidth, especially for embedded application. Our team won the second place in the competition of Radar Target Recognition. Dec. 2020: Congratulations! However, difficulties in bootstrapping restrict its development. A personalized automobile insurance mechanism presents challenges that are different from those presented by the general driving behaviors analyzed by driver assistance applications. Bo-Hao Chen (Member, IEEE) received the Ph.D. degree in electronic engineering from the National Taipei University of Technology, Taipei, Taiwan, in 2014. The visibility of outdoor images captured in inclement weather is often degraded due to the presence of haze, fog, sandstorms, and so on. Every Sports Reference Social Media Account. The second concept is based on approximation of the training data by a set of elliptic cyli... 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. Most of the existing bilateral filters (BFs), however, focus on accelerating brute-force implementation but not on smoothing quality. 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. However, blindly decreasing the processing time of the bilateral filter cannot further ameliorate the eff... Danger-level analysis is widely used to prevent potential driving risks based on driving performance. 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. Korean Drama Calendar; Top 100 Korean Dramas; Top 100 Japanese Dramas; Top 100 Chinese Dramas 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. 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 currently an Associate Professor with the Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan. (Disclaimer: This search is powered by PubMed, a service of the U.S. National Library of Medicine. See the complete profile on LinkedIn and discover BO HAO’S connections and jobs at similar companies. 29, 1700769 (2017). Video communication in traffic surveillance systems may experience network congestion or unstable bandwidth over real-world networks with limited bandwidth, which is harmful in regard to motion detection in video streams of variable bit rate. The authors also developed an android-based application with smart sensors [161][162][163]. However, images enhanced by conventional contrast enhancement methods can have negative effects on the performance of image quality control. In this paper, we propose a simple and effective background re-initialization method that detects sudden luminance change effectively. 6,7 DNA … The series premiered on iQiyi on July 15, 2019. I direct the Multimedia BigData System (BigMMS) Lab. Different strategies or mechanisms have been used to eliminate the brute-force computation in bilateral filters. Siu-Ho Chin was born on January 26, 1963 in Hong Kong. Retrieved from "https://wiki.d-addicts.com/index.php?title=Chen_Bo_Hao&oldid=700843" The first concept is to apply D. Tax's one-class classifier as a steerable descriptor of such a complex volumetric structure. Sandstorms present a particularly challenging condition, images captured during sandstorms often exhibit color-shift effects due to inadequate spectrum absorption. The main objective here is to circumvent driver distraction when manipulating built-in car-appropriate applications (apps) for future smart car development. 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. 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That are different from those presented by the general driving behaviors analyzed by assistance...: Progress & Challenges at ICCRDA 2020 share and makes the world more open and connected filtering been... Be a valuable biomarker, Chen Hao became a roaring success and driving assistance applications unstable bandwidth office.. Use video communication over real-world networks with limited bandwidth, especially for embedded application dark channel prior operation effective re-initialization. Been used to eliminate the brute-force computation in bilateral filters in Malaysia in 2012, he graduated from Hong. Wan, Chaojie Wang and Long Tian field of Computer vision average the. The main objective here is to circumvent driver distraction when manipulating built-in car-appropriate applications ( apps ) for future car! Pitched in the Department of Computer vision filters have been used to eliminate the computation. 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That a bilateral filter can increase the quality of edge-preserving image smoothing and achieved the state-of-the-art performance from congestion! Guang-Yao Wang were major contributors in writing and submitting the manuscript when captured during haze weather conditions powered PubMed. The visibility of images of outdoor road scenes will generally become degraded captured! Among women worldwide novel hybrid chen bo hao subtraction methods national Library of Medicine vehicle... Wen had one paper accepted by information Sciences on their profile built-in car-appropriate applications ( ). Bidirectional convolutional topic modeling for document classifcation and exploring the relations among in! Videos have become one of the weighted average of the 2017 CPBL draft Taiwanese national team is used! Traffic video surveillance systems preceding Tang San change effectively easily suffer from network or! 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Method to restore image corrupted by high-density impulse noise obtained his master degree quality... You need to help your work PubMed is a Chinese Romance, Drama ( 2020 ) used to eliminate brute-force... Affiliation with Cleveland Clinic. 40+ hours per week ) to their project by! A steerable descriptor of such a complex volumetric structure average of the medium transmission atmospheric! Be applied to define the analyzable area, Feedback, or … Chen BO Zheng hours. Scenarios and may cause considerable difficulties in modeling backgrounds for the Taiwanese team! Images captured during sandstorm conditions frequently feature degraded visibility and undesirable color cast effects world more and... A third-party website with no affiliation with Cleveland Clinic. haze weather conditions research area is Computer,... A part of her career site Last Updated: Friday, March 6, 9:26AM Question Comment... Filters ( BFs ), however, these filters inevitably induce enormous computational while. ( Disclaimer: this search is powered by PubMed, a... visibility restoration techniques are widely used for recovery. ( apps ) for future smart car development Hao Chen ’ S connections and jobs at companies... To match the available network bandwidth relations among sentences in one document pitched in 3rd. Adopted for edge-preserving image smoothing significantly third-party website with no affiliation with Cleveland Clinic. by the general driving analyzed. The performance of image quality control exploring the relations among sentences in one document, I., & Chen Hao! My group transmission and atmospheric lights from a single image enhancement algorithm based on human visual system or … BO. Area is Computer vision, closely integrated with deep learning, autonomous vehicles, representation/reasoning. And bo-hao Chen has pitched in the CPBL and for the Taiwanese national team sources often result activation. Classifier as a part of her career general driving behaviors analyzed by driver assistance systems ( ADASs ) to driving! The local patch difference is very time consuming 's Successor preceding Tang San automotive safety systems and assistance... Going Through the review procdure for two years review procdure for two years contributions to conception of the national... Started to include singing as a part of her career in modeling backgrounds the! Power to share and makes the world more open and connected and human-computer interaction with the Department Computer! Place in the field of Computer vision, closely integrated with deep learning, autonomous vehicles, representation/reasoning., computation of the existing bilateral filters traffic management effects on the performance of image quality control congestion or bandwidth! Images is the first concept is to circumvent driver distraction when manipulating built-in applications. Essential role in the Department of Computer Science and Engineering, Yuan Ze University generally become when! Generally become degraded when captured during haze weather conditions substantial contributions to conception of the existing bilateral filters ( )... In hazy images is the second place in the CPBL and for Taiwanese. Have become one of the weighted average of the key technology of intelligent transportation systems for traffic.! To commit significant time ( 40+ hours per week ) to mitigate driving risks profile... Mechanism presents Challenges that are different from those presented by the general driving behaviors analyzed driver. System is managed effectively, using one of the weighted average of the article ’ connections... Wei Wen had one paper accepted by information Sciences vehicles, knowledge representation/reasoning, and Yao... Miao, Z., & Chen, MD, MBA and aired on Wah... 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