Shuicheng Yan Salient object detection models often demand a considerable amount of computation cost to make precise prediction for each pixel, making them hardly applicable on low-power devices.
List of computer science publications by Shuicheng Yan. In view of the current Corona Virus epidemic, Schloss Dagstuhl has moved its 2020 proposal submission period to July 1 to July 15, 2020, and there will not be another proposal round in November 2020.Liang Lin Professor, School of Data and Computer Science, Sun Yat-Sen University, China Verified email at ieee.org.Makepeace, and Dr. Jack Guangjie Li who provided great help during my PhD life. I am grateful to the members of the departmental staffs, Ms. Elsie Phillips, Ms. Laine Clayton, and Ms. Sara Bragg who supported generously in many ways and helped in seeing this thesis to fruition. I would also like to express many thanks to my friends and course.
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Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Trait Recognition Shaoxin Li1,3, Junliang Xing2,3, Zhiheng Niu3, Shiguang Shan1, Shuicheng Yan3 1Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China.
CHENG Zhiyong is a PhD candidate in the School of Information Systems, Singapore Management University. He is advised by Assistant Professor Jialie Shen and Associate Professor Shuicheng Yan. From August 2014 to July 2015, he visited the Informedia group led by Alexander G. Hauptmann in Carnegie Mellon University.
From Aug. 2014 to Aug. 2015, I am also an visiting scholar supervised by Prof. Shuicheng Yan in Learning and Vision Research Group at the Department of Electrical and Computer Engineering, National University of Singapore. I am the member of the IEEE, the ACM, and the CCF.
Understanding user intent from her sequential search behaviors, i.e. predicting the intent of each user query in a search session, is crucial for modern Web search engines. However, due to the huge number of user behavior variables and coarse level intent labels defined by human editors, it is very difficult to directly model user behavioral dynamics or user intent dynamics in user search.
Doctoral thesis (Ph.D), UCL (University College London). Adam, A; (2017) System modelling and optimisation studies of fuel cell based micro-CHP for residential energy demand reduction.
Before joining Snapchat, I was a Research Scientist at Adobe Research in San Jose, California. I got my M.S. and Ph.D. degrees from the ECE department of University of Illinois at Urbanan-Champaign (UIUC) in 2010 and 2011, both under supervision of Professor Thomas Huang at Beckman Institute.
She is an HEC approved PhD supervisor, currently supervising a PhD thesis, and has supervised several Final Year Projects and MS Thesis at COMSATS, Lahore. She has been Head of Department at the Department of Electrical Engineering, COMSATS Institute of Information Technology, Lahore, Pakistan from 2013 till 2016.
Ph.D. Theses. Under the terms of the TUM Regulations for the Award of Doctoral Degrees you must make the authorized version of your dissertation available to the scholarly public by means of reproduction and dissemination. For this purpose you can publish your thesis either in an electronic version or in paper version with ISBN.
A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY. Shuicheng Yan, and Assistant Professor Jiashi Feng, for accepting me into. towards the end of my PhD journey, but they have given.
I am currently a Postdoctoral Research Associate at Carnegie Mellon University. I obtained my phd degree from the National University of Singapore, working closely with Profs. Jiashi Feng, Shuicheng Yan and Zhouchen Lin.
Thesis: Uncertainty in Deep Learning. Some of the work in the thesis was previously presented in (Gal, 2015; Gal and Ghahramani, 2015a,b,c,d; Gal et al., 2016), but the thesis contains many new pieces of work as well. The most notable of these are.
In this paper, we propose a fully automatic, effective and efficient framework for 3D face reconstruction based on a single face image in arbitrary view. First, a multi-view face alignment algorithm.
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