Yin Li mainly focuses on Artificial intelligence, Computer vision, Biochemistry, Segmentation and Computer graphics. His study in the field of Image is also linked to topics like Task. Yin Li focuses mostly in the field of Computer vision, narrowing it down to matters related to Fixation and, in some cases, Humanoid robot, Salience, Cognitive neuroscience of visual object recognition, Object detection image segmentation and Salient objects.
His Fermentation, Enzyme, Escherichia coli and Pyruvic acid study in the realm of Biochemistry interacts with subjects such as Candida glabrata. Yin Li has researched Segmentation in several fields, including Voxel, Inference and Structure from motion. His research integrates issues of Light field, Set and Flash in his study of Computer graphics.
His primary scientific interests are in Biochemistry, Artificial intelligence, Fermentation, Computer vision and Gene. His Biochemistry study often links to related topics such as Strain. The study incorporates disciplines such as Machine learning and Pattern recognition in addition to Artificial intelligence.
His Fermentation study incorporates themes from Yield, Chromatography, Ethanol and Bacteria. His research on Computer vision frequently connects to adjacent areas such as Computer graphics. His Gene study necessitates a more in-depth grasp of Genetics.
His scientific interests lie mostly in Artificial intelligence, Astrophysics, Halo, Dark matter and Biochemical engineering. His work deals with themes such as Machine learning and Computer vision, which intersect with Artificial intelligence. His Computer vision study frequently links to related topics such as Margin.
Yin Li combines subjects such as Spectral line, Computational physics, Redshift and Universe with his study of Halo. The Biochemical engineering study combines topics in areas such as Metabolic engineering, Microorganism, Synthetic biology, Biomass and Carbon fixation. As part of the same scientific family, he usually focuses on Object, concentrating on Segmentation and intersecting with Identification, Pixel and Feature.
His primary areas of study are Artificial intelligence, Astrophysics, Halo, Dark matter and Deep learning. His Artificial intelligence research includes themes of Computer vision and Pattern recognition. His studies in Computer vision integrate themes in fields like Margin and Benchmark.
His Halo research is multidisciplinary, incorporating perspectives in Proxy, Accretion, Redshift and Spin-½. The Dark matter study which covers Observable that intersects with Astrostatistics and Stellar mass. His work in Deep learning tackles topics such as Feature extraction which are related to areas like Phrase, Ranking, Similarity, Embedding and Ranking.
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Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life.
Fredrik Bäckhed;Fredrik Bäckhed;Josefine Roswall;Yangqing Peng;Qiang Feng.
Cell Host & Microbe (2015)
Yin Li;Jian Sun;Chi-Keung Tang;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2004)
The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment
Xuan Zhang;Dongya Zhang;Huijue Jia;Qiang Feng.
Nature Medicine (2015)
The Secrets of Salient Object Segmentation
Yin Li;Xiaodi Hou;Christof Koch;James M. Rehg.
computer vision and pattern recognition (2014)
Bacteriocin production as a mechanism for the antiinfective activity of Lactobacillus salivarius UCC118
Sinéad C. Corr;Yin Li;Christian U. Riedel;Paul W. O'Toole.
Proceedings of the National Academy of Sciences of the United States of America (2007)
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang;Yin Li;Svetlana Lazebnik.
computer vision and pattern recognition (2016)
Symmetric stereo matching for occlusion handling
Jian Sun;Yin Li;S.B. Kang;Heung-Yeung Shum.
computer vision and pattern recognition (2005)
Open-Source Genomic Analysis of Shiga-Toxin–Producing E. coli O104:H4
Holger Rohde;Junjie Qin;Yujun Cui;Dongfang Li.
The New England Journal of Medicine (2011)
Learning to recognize daily actions using gaze
Alireza Fathi;Yin Li;James M. Rehg.
european conference on computer vision (2012)
Video object cut and paste
Yin Li;Jian Sun;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2005)
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