Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Computer graphics are his primary areas of study. Yung-Yu Chuang undertakes interdisciplinary study in the fields of Artificial intelligence and Multiple kernel learning through his works. His Image, Alpha compositing and Image-based modeling and rendering study in the realm of Computer vision interacts with subjects such as Set.
His Pattern recognition research is multidisciplinary, incorporating perspectives in Normalization and Image enhancement. As part of the same scientific family, Yung-Yu Chuang usually focuses on Feature extraction, concentrating on Pixel and intersecting with Bayesian framework, Bayesian probability and Background image. His Computer graphics study integrates concerns from other disciplines, such as Video capture and Texture.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Computer graphics and Image. His study in Convolutional neural network, Pixel, Feature extraction, Segmentation and Object are all subfields of Artificial intelligence. In the subject of general Computer vision, his work in Rendering, Stereoscopy, Optical flow and Image warping is often linked to Process, thereby combining diverse domains of study.
The Pattern recognition study combines topics in areas such as Affinity propagation, Deep learning and Feature. His research investigates the connection between Computer graphics and topics such as Shadow that intersect with problems in Compositing. His study on Similarity is often connected to Domain, Set and Layer as part of broader study in Image.
His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, Convolutional neural network and Image. The study of Artificial intelligence is intertwined with the study of Dynamic range in a number of ways. His research in the fields of Optical flow, Pixel, Image stabilization and Re identification overlaps with other disciplines such as Identity.
His Pattern recognition research focuses on Deep learning and how it relates to Pose, Saliency map and Discriminative model. His work focuses on many connections between Convolutional neural network and other disciplines, such as Training set, that overlap with his field of interest in Salient object detection and Classifier. His Image study combines topics in areas such as Representation, Generative grammar and Code.
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Segmentation, Object and Computer vision. Artificial intelligence and Color filter array are two areas of study in which Yung-Yu Chuang engages in interdisciplinary work. His work deals with themes such as Normalization, Image and Deep learning, which intersect with Pattern recognition.
His Image study incorporates themes from Noise reduction and Convolutional neural network. His research integrates issues of Ranking and Pose in his study of Deep learning. Yung-Yu Chuang combines subjects such as Pascal, Minimum bounding box and Task with his study of Segmentation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A Bayesian approach to digital matting
Yung-Yu Chuang;B. Curless;D.H. Salesin;R. Szeliski.
computer vision and pattern recognition (2001)
Video matting of complex scenes
Yung-Yu Chuang;Aseem Agarwala;Brian Curless;David H. Salesin.
international conference on computer graphics and interactive techniques (2002)
Multiple Kernel Fuzzy Clustering
Hsin-Chien Huang;Yung-Yu Chuang;Chu-Song Chen.
IEEE Transactions on Fuzzy Systems (2012)
Shape-Preserving Half-Projective Warps for Image Stitching
Che-Han Chang;Yoichi Sato;Yung-Yu Chuang.
computer vision and pattern recognition (2014)
Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
Yu-Sheng Chen;Yu-Ching Wang;Man-Hsin Kao;Yung-Yu Chuang.
computer vision and pattern recognition (2018)
Video stabilization using robust feature trajectories
Ken-Yi Lee;Yung-Yu Chuang;Bing-Yu Chen;Ming Ouhyoung.
international conference on computer vision (2009)
Affinity aggregation for spectral clustering
Hsin-Chien Huang;Yung-Yu Chuang;Chu-Song Chen.
computer vision and pattern recognition (2012)
Environment matting extensions: towards higher accuracy and real-time capture
Yung-Yu Chuang;Douglas E. Zongker;Joel Hindorff;Brian Curless.
international conference on computer graphics and interactive techniques (2000)
Animating pictures with stochastic motion textures
Yung-Yu Chuang;Dan B Goldman;Ke Colin Zheng;Brian Curless.
international conference on computer graphics and interactive techniques (2005)
Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification
Zhixiang Wang;Zheng Wang;Yinqiang Zheng;Yung-Yu Chuang.
computer vision and pattern recognition (2019)
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