2021 - IEEE Fellow For contributions to video coding and multimedia content analysis
Artificial intelligence, Pattern recognition, Computer vision, Image retrieval and Feature extraction are his primary areas of study. His Artificial intelligence research incorporates elements of Machine learning and Quantization. His research in Pattern recognition intersects with topics in Image quality, Gesture recognition, Eye tracking, Visualization and Generative model.
His study in the field of Image processing, Video tracking and Iterative reconstruction also crosses realms of Source code. The study incorporates disciplines such as Full text search, Ranking, Categorization and Spatial contextual awareness in addition to Image retrieval. His Feature extraction research incorporates themes from Entropy, Classifier, Inpainting, Feature detection and Discriminative model.
Houqiang Li spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Decoding methods. His research related to Feature extraction, Motion compensation, Multiview Video Coding, Convolutional neural network and Image might be considered part of Artificial intelligence. His Multiview Video Coding study incorporates themes from Coding tree unit and Scalable Video Coding.
His study on Data compression, Pixel and Video tracking is often connected to Encoder as part of broader study in Computer vision. His work in the fields of Pattern recognition, such as Discriminative model, overlaps with other areas such as Sign language. In the field of Algorithm, his study on Lossless compression and Quantization overlaps with subjects such as Distortion.
Houqiang Li mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Feature extraction. His research in Artificial intelligence tackles topics such as Natural language processing which are related to areas like Embedding. His Pattern recognition research is multidisciplinary, incorporating perspectives in Image and Robustness.
In his research, Object detection is intimately related to Frame, which falls under the overarching field of Computer vision. His work carried out in the field of Algorithm brings together such families of science as Sequence and Inference. His Feature extraction study combines topics from a wide range of disciplines, such as Regularization and Visualization.
His scientific interests lie mostly in Artificial intelligence, Algorithm, Computer vision, Deep learning and Data compression. His Artificial intelligence research includes themes of Machine learning and Natural language processing. His Computer vision study frequently intersects with other fields, such as Frame.
His Deep learning study also includes
Sensory cue that intertwine with fields like Speech recognition,
Facial expression together with Gesture recognition, Semantics, Sentence and Automatic summarization. His research on Data compression also deals with topics like
Point cloud, which have a strong connection to Minimum bounding box and Transform coding,
Entropy, Reference frame and Motion compensation most often made with reference to Motion vector,
Lagrange multiplier, Coding tree unit and Reference software most often made with reference to Pixel. His Feature extraction study deals with Feature intersecting with Object detection.
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The Visual Object Tracking VOT2017 Challenge Results
Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg.
international conference on computer vision (2017)
Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy
Xiaodong Yang;Houqiang Li;Xiaobo Zhou.
IEEE Transactions on Circuits and Systems (2006)
The sixth visual object tracking VOT2018 challenge results
Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg.
european conference on computer vision (2019)
Jointly Modeling Embedding and Translation to Bridge Video and Language
Yingwei Pan;Tao Mei;Ting Yao;Houqiang Li.
computer vision and pattern recognition (2016)
Adaptive Directional Lifting-Based Wavelet Transform for Image Coding
Wenpeng Ding;Feng Wu;Xiaolin Wu;Shipeng Li.
IEEE Transactions on Image Processing (2007)
λ domain rate control algorithm for high efficiency video coding.
Bin Li;Houqiang Li;Li Li;Jinlei Zhang.
IEEE Transactions on Image Processing (2014)
Spatial coding for large scale partial-duplicate web image search
Wengang Zhou;Yijuan Lu;Houqiang Li;Yibing Song.
acm multimedia (2010)
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
Jianmin Bao;Dong Chen;Fang Wen;Houqiang Li.
international conference on computer vision (2017)
Video Captioning with Transferred Semantic Attributes
Yingwei Pan;Ting Yao;Houqiang Li;Tao Mei.
computer vision and pattern recognition (2017)
Principal Visual Word Discovery for Automatic License Plate Detection
Wengang Zhou;Houqiang Li;Yijuan Lu;Qi Tian.
IEEE Transactions on Image Processing (2012)
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