Artificial intelligence, Real-time computing, Computer vision, Pattern recognition and Image resolution are his primary areas of study. Zongming Guo integrates several fields in his works, including Artificial intelligence and Streak. His Real-time computing study which covers Quality of experience that intersects with Viewport, Panorama, Buffer overflow and Greedy algorithm.
His work carried out in the field of Computer vision brings together such families of science as Visualization and Distortion. In Distortion, he works on issues like Algorithm, which are connected to Graph. His biological study spans a wide range of topics, including Non-local means and Robustness.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Real-time computing. His work is connected to Pixel, Image, Iterative reconstruction, Image resolution and Superresolution, as a part of Artificial intelligence. His work in Computer vision is not limited to one particular discipline; it also encompasses Frame.
His research in Algorithm intersects with topics in Point cloud, Distortion and Graph. His research integrates issues of Image restoration and Feature detection in his study of Pattern recognition. Zongming Guo has researched Real-time computing in several fields, including Computer network, Bandwidth, Network packet, Scalable Video Coding and Video quality.
Zongming Guo mostly deals with Artificial intelligence, Algorithm, Image, Computer network and Real-time computing. His Artificial intelligence research includes themes of Natural language processing, Computer vision and Pattern recognition. His work on Feature extraction as part of general Pattern recognition research is frequently linked to Training, bridging the gap between disciplines.
His studies in Algorithm integrate themes in fields like Information hiding and Point cloud. His study looks at the relationship between Image and fields such as Pixel, as well as how they intersect with chemical problems. His Real-time computing study combines topics from a wide range of disciplines, such as Decoding methods, Quality of experience and Bandwidth.
Zongming Guo focuses on Artificial intelligence, Image, Pattern recognition, Key and Glyph. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Natural language processing. Zongming Guo interconnects Frame, Compensation and Manifold in the investigation of issues within Computer vision.
His Image research includes elements of Paraphrase, Deep learning and Benchmark. His Pattern recognition study integrates concerns from other disciplines, such as Optical flow, Pixel, Modality and Adaptation. His Pixel research is multidisciplinary, incorporating elements of Variation, Texture and Metric.
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Deep Joint Rain Detection and Removal from a Single Image
Wenhan Yang;Robby T. Tan;Jiashi Feng;Jiaying Liu.
computer vision and pattern recognition (2017)
Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model
Mading Li;Jiaying Liu;Wenhan Yang;Xiaoyan Sun.
IEEE Transactions on Image Processing (2018)
Efficient Generalized Integer Transform for Reversible Watermarking
Xiang Wang;Xiaolong Li;Bin Yang;Zongming Guo.
IEEE Signal Processing Letters (2010)
360ProbDASH: Improving QoE of 360 Video Streaming Using Tile-based HTTP Adaptive Streaming
Lan Xie;Zhimin Xu;Yixuan Ban;Xinggong Zhang.
acm multimedia (2017)
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution
Wenhan Yang;Jiashi Feng;Jianchao Yang;Fang Zhao.
IEEE Transactions on Image Processing (2017)
Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks
Wenhan Yang;Robby T. Tan;Jiashi Feng;Zongming Guo.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)
m DASH: A Markov Decision-Based Rate Adaptation Approach for Dynamic HTTP Streaming
Chao Zhou;Chia-Wen Lin;Zongming Guo.
IEEE Transactions on Multimedia (2016)
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos
Jiaying Liu;Wenhan Yang;Shuai Yang;Zongming Guo.
computer vision and pattern recognition (2018)
Image Super-Resolution Based on Structure-Modulated Sparse Representation
Yongqin Zhang;Jiaying Liu;Wenhan Yang;Zongming Guo.
IEEE Transactions on Image Processing (2015)
Profiling Skype video calls: Rate control and video quality
Xinggong Zhang;Yang Xu;Hao Hu;Yong Liu.
international conference on computer communications (2012)
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