Two postdoc positions at NUS for deep learning and computer vision
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Jiashi Feng
Oct 29, 2015, 1:45:33 AM10/29/15
to Machine Learning News
Two postdoctoral researcher positions are available at Learning and Vision Group (http://www.lv-nus.org/) in National University of Singapore (NUS). The researchers will work on a research project of deep learning and its applications for face and object image/video analysis, led by Prof. Jiashi Feng and Prof. Shuicheng Yan. The positions start as early as Dec 2015.
Beyond the research project, the researchers are encouraged to explore research directions in computer vision, deep learning, machine learning and their applications. Interested applicants please email to Prof. Feng at ele...@nus.edu.sg.
Ideally, an applicant should have relevant research exposure in computer vision, deep learning or machine learning, and have solid programming ability. We expect an applicant to have strong research ability demonstrated from publication in high profile venue in relevant fields. The applicants must be highly motivated and self-driven, eager to learn new tools and new methodologies. Knowledge and expertise in deep learning and computer vision is preferred.
About the PI (Jiashi Feng): Dr. Jiashi Feng is currently an assistant Professor in the department of electrical and computer engineering in the National University of Singapore. His current research interest focus on machine learning and computer vision techniques for large-scale data analysis. Specifically, he has done work in object recognition, deep learning, machine learning, high-dimensional statistics and big data analysis. His research has been published in journals including IJCV, IEEE TIP as well as top tier conferences including ICCV/CVPR/ECCV/ICML/NIPS. More details of his research can be found in his website https://sites.google.com/site/jshfeng/.
About the co-PI (Shuicheng Yan): Dr. Shuicheng Yan is currently a (Dean's Chair) Associate Professor in the Department of Electrical and Computer Engineering at National University of Singapore, and the founding lead of the Learning and Vision Research Group (http://www.lv-nus.org). Dr. Yan's research areas include computer vision, multimedia and machine learning, and he has authored/co-authored over 400 technical papers over a wide range of research topics, with Google Scholar citation >20,000 times and H-index-61. He is an associate editor of Journal of Computer Vision and Image Understanding, IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) and ACM Transactions on Intelligent Systems and Technology (ACM TIST), and has been serving as the guest editor of the special issues for TMM and CVIU. He received the Best Paper Awards from ACM MM13 (Best Paper and Best Student Paper), ACM MM’12 (demo), PCM'11, ACM MM’10, ICME’10 and ICIMCS'09, the winner prizes of the classification task in PASCAL VOC 2010-2012, the winner prize of the segmentation task in PASCAL VOC 2012, the honorable mention prize of the detection task in PASCAL VOC'10, 2010 TCSVT Best Associate Editor (BAE) Award, 2010 Young Faculty Research Award, 2011 Singapore Young Scientist Award, 2012 NUS Young Researcher Award, and the co-author of the best student paper awards of PREMIA'09, PREMIA'11 and PREMIA'12. He shall or has been General/Program Co-chair of MMM13, PCM13, and ACM MM15, ICMR17 and ACM MM17.
Beyond the research project, the researchers are encouraged to explore research directions in computer vision, deep learning, machine learning and their applications. Interested applicants please email to Prof. Feng at ele...@nus.edu.sg.
Ideally, an applicant should have relevant research exposure in computer vision, deep learning or machine learning, and have solid programming ability. We expect an applicant to have strong research ability demonstrated from publication in high profile venue in relevant fields. The applicants must be highly motivated and self-driven, eager to learn new tools and new methodologies. Knowledge and expertise in deep learning and computer vision is preferred.
About the PI (Jiashi Feng): Dr. Jiashi Feng is currently an assistant Professor in the department of electrical and computer engineering in the National University of Singapore. His current research interest focus on machine learning and computer vision techniques for large-scale data analysis. Specifically, he has done work in object recognition, deep learning, machine learning, high-dimensional statistics and big data analysis. His research has been published in journals including IJCV, IEEE TIP as well as top tier conferences including ICCV/CVPR/ECCV/ICML/NIPS. More details of his research can be found in his website https://sites.google.com/site/jshfeng/.
About the co-PI (Shuicheng Yan): Dr. Shuicheng Yan is currently a (Dean's Chair) Associate Professor in the Department of Electrical and Computer Engineering at National University of Singapore, and the founding lead of the Learning and Vision Research Group (http://www.lv-nus.org). Dr. Yan's research areas include computer vision, multimedia and machine learning, and he has authored/co-authored over 400 technical papers over a wide range of research topics, with Google Scholar citation >20,000 times and H-index-61. He is an associate editor of Journal of Computer Vision and Image Understanding, IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) and ACM Transactions on Intelligent Systems and Technology (ACM TIST), and has been serving as the guest editor of the special issues for TMM and CVIU. He received the Best Paper Awards from ACM MM13 (Best Paper and Best Student Paper), ACM MM’12 (demo), PCM'11, ACM MM’10, ICME’10 and ICIMCS'09, the winner prizes of the classification task in PASCAL VOC 2010-2012, the winner prize of the segmentation task in PASCAL VOC 2012, the honorable mention prize of the detection task in PASCAL VOC'10, 2010 TCSVT Best Associate Editor (BAE) Award, 2010 Young Faculty Research Award, 2011 Singapore Young Scientist Award, 2012 NUS Young Researcher Award, and the co-author of the best student paper awards of PREMIA'09, PREMIA'11 and PREMIA'12. He shall or has been General/Program Co-chair of MMM13, PCM13, and ACM MM15, ICMR17 and ACM MM17.
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