2022 - Research.com Rising Star of Science Award
His scientific interests lie mostly in Artificial intelligence, Computer vision, Image quality, Visualization and Distortion. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition. His work deals with themes such as Artificial neural network and Spoofing attack, which intersect with Pattern recognition.
In Computer vision, Shiqi Wang works on issues like Ringing, which are connected to Visual artifact. The various areas that Shiqi Wang examines in his Image quality study include Image resolution, Data mining, Histogram, Entropy and Image gradient. His Visualization research incorporates elements of Brightness, Tone mapping and Digital image processing.
His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Coding. Shiqi Wang frequently studies issues relating to Machine learning and Artificial intelligence. His work on Data compression, Motion compensation and Human visual system model as part of general Computer vision research is often related to Distortion, thus linking different fields of science.
His studies in Pattern recognition integrate themes in fields like Image, Spoofing attack and Feature. His work on Coding tree unit and Quadtree as part of general Algorithm study is frequently linked to Rate control and Random access, bridging the gap between disciplines. His research in Coding intersects with topics in Low complexity, Quantization, Computational complexity theory, Encoder and Reference frame.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Coding, Algorithm and Machine learning. His research on Artificial intelligence often connects related topics like Computer vision. His Pattern recognition research integrates issues from Regularization, Representation, Face and Spoofing attack.
Shiqi Wang interconnects Data mining, Codec, Encoder, Video quality and Robustness in the investigation of issues within Coding. His work in the fields of Decoding methods overlaps with other areas such as Random access, Rate control and Block. His work on Convolutional neural network and Artificial neural network as part of general Machine learning research is frequently linked to Set, bridging the gap between disciplines.
Shiqi Wang focuses on Artificial intelligence, Pattern recognition, Machine learning, Coding and Algorithm. His study in Convolutional neural network, Deep learning, Feature, Feature extraction and Visualization falls under the purview of Artificial intelligence. To a larger extent, Shiqi Wang studies Computer vision with the aim of understanding Feature extraction.
Image processing is closely connected to Salience in his research, which is encompassed under the umbrella topic of Computer vision. His Pattern recognition research includes elements of Pixel, Regularization, Representation and Image restoration. His study in Coding is interdisciplinary in nature, drawing from both Encoder and Decoding methods.
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Domain Generalization with Adversarial Feature Learning
Haoliang Li;Sinno Jialin Pan;Shiqi Wang;Alex C. Kot.
computer vision and pattern recognition (2018)
Saliency-Guided Quality Assessment of Screen Content Images
Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin.
IEEE Transactions on Multimedia (2016)
A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images
Shiqi Wang;Kede Ma;Hojatollah Yeganeh;Zhou Wang.
IEEE Signal Processing Letters (2015)
SSIM-Motivated Rate-Distortion Optimization for Video Coding
Shiqi Wang;A. Rehman;Zhou Wang;Siwei Ma.
IEEE Transactions on Circuits and Systems for Video Technology (2012)
Group-Sensitive Triplet Embedding for Vehicle Reidentification
Yan Bai;Yihang Lou;Feng Gao;Shiqi Wang.
IEEE Transactions on Multimedia (2018)
Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure
Ke Gu;Shiqi Wang;Guangtao Zhai;Siwei Ma.
IEEE Transactions on Multimedia (2016)
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild
Yihang Lou;Yan Bai;Jun Liu;Shiqi Wang.
computer vision and pattern recognition (2019)
Unsupervised Domain Adaptation for Face Anti-Spoofing
Haoliang Li;Wen Li;Hong Cao;Shiqi Wang.
IEEE Transactions on Information Forensics and Security (2018)
Image and Video Compression With Neural Networks: A Review
Siwei Ma;Xinfeng Zhang;Chuanmin Jia;Zhenghui Zhao.
IEEE Transactions on Circuits and Systems for Video Technology (2020)
Quality Prediction of Asymmetrically Distorted Stereoscopic 3D Images
Jiheng Wang;Abdul Rehman;Kai Zeng;Shiqi Wang.
IEEE Transactions on Image Processing (2015)
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