Hwann-Tzong Chen
Hwann-Tzong Chen received a Ph.D. degree in computer science from National Taiwan University, Taiwan. He joined the Department of Computer Science at National Tsing Hua University, Taiwan, as an Assistant Professor, in 2006. He is currently a Distinguished Professor in the same department. His research interests include computer vision, image processing, and machine learning. His research team won first place at the CVPR Workshop Look into Person (LIP) Challenge in 2017 and first at the Robust Vision Challenge on Instance Segmentation Task in 2018. In 2017 and 2018, he served as a Co-PI of the Program Office of AI Innovation Research, Ministry of Science and Technology, helping organize several international workshops and summer schools.
Hwann-Tzong Chen
Hwann-Tzong Chen received a Ph.D. degree in computer science from National Taiwan University, Taiwan. He joined the Department of Computer Science at National Tsing Hua University, Taiwan, as an Assistant Professor, in 2006. He is currently a Distinguished Professor in the same department. His research interests include computer vision, image processing, and machine learning. His research team won first place at the CVPR Workshop Look into Person (LIP) Challenge in 2017 and first at the Robust Vision Challenge on Instance Segmentation Task in 2018. In 2017 and 2018, he served as a Co-PI of the Program Office of AI Innovation Research, Ministry of Science and Technology, helping organize several international workshops and summer schools.
Yasutaka Furukawa
Dr. Yasutaka Furukawa is an associate professor in the School of Computing Science at Simon Fraser University (SFU). Dr. Furukawa's group has made fundamental and practical contributions to 3D reconstruction algorithms, improved localization techniques, and computational architectural modeling. Their open-source software has been widely adopted by tech companies used in surprising applications such as 3D printing of turtle shells and archaeological reconstruction. Dr. Furukawa received the best student paper award at ECCV 2012, the NSF CAREER Award in 2015, CS-CAN Outstanding Young CS Researcher Award 2018, Google Faculty Research Awards in 2016, 2017, and 2018, and PAMI Longuet-Higgins prize in 2020.
Yasutaka Furukawa
Dr. Yasutaka Furukawa is an associate professor in the School of Computing Science at Simon Fraser University (SFU). Dr. Furukawa's group has made fundamental and practical contributions to 3D reconstruction algorithms, improved localization techniques, and computational architectural modeling. Their open-source software has been widely adopted by tech companies used in surprising applications such as 3D printing of turtle shells and archaeological reconstruction. Dr. Furukawa received the best student paper award at ECCV 2012, the NSF CAREER Award in 2015, CS-CAN Outstanding Young CS Researcher Award 2018, Google Faculty Research Awards in 2016, 2017, and 2018, and PAMI Longuet-Higgins prize in 2020.
Sing Bing Kang
Sing Bing Kang received his Ph.D. degree in robotics from Carnegie Mellon University in 1994. He is currently a Distinguished Scientist at Zillow Group. His research interests are computational photography and image-based modeling. Sing Bing has coedited two books ("Panoramic Vision" and "Emerging Topics in Computer Vision") and coauthored two books ("Image-Based Rendering" and "Image-Based Modeling of Plants and Trees"). On the community service front, he has served as Area Chair for the major computer vision conferences and as papers committee member for SIGGRAPH and SIGGRAPH Asia. Sing Bing also serves as editor for the Springer ACVPR book series. He was Program Chair for ACCV 2007 and CVPR 2009, and was Associate Editor-In-Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence from 2010-2014. He is a Fellow of the IEEE.
Sing Bing Kang
Sing Bing Kang received his Ph.D. degree in robotics from Carnegie Mellon University in 1994. He is currently a Distinguished Scientist at Zillow Group. His research interests are computational photography and image-based modeling. Sing Bing has coedited two books ("Panoramic Vision" and "Emerging Topics in Computer Vision") and coauthored two books ("Image-Based Rendering" and "Image-Based Modeling of Plants and Trees"). On the community service front, he has served as Area Chair for the major computer vision conferences and as papers committee member for SIGGRAPH and SIGGRAPH Asia. Sing Bing also serves as editor for the Springer ACVPR book series. He was Program Chair for ACCV 2007 and CVPR 2009, and was Associate Editor-In-Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence from 2010-2014. He is a Fellow of the IEEE.
Jana Kosecka
Jana Kosecka is Professor at the Department of Computer Science, George Mason University. She obtained Ph.D. in Computer Science from University of Pennsylvania. Following her PhD, she was a postdoctoral fellow at the EECS Department at University of California, Berkeley. She is the recipient of David Marr's prize and received the National Science Foundation CAREER Award. Jana is a chair of IEEE technical Committee of Robot Perception, Associate Editor of IEEE Robotics and Automation Letters and International Journal of Computer Vision, former editor of IEEE Transactions on Pattern Analysis and Machine Intelligence. She held visiting positions at Stanford University, Google and Nokia Research. She is a co-author of a monograph titled Invitation to 3D vision: From Images to Geometric Models. Her general research interests are in Computer Vision and Robotics. In particular she is interested 'seeing' systems engaged in autonomous tasks, acquisition of static and dynamic models of environments by means of visual sensing and human-computer interaction.
Jana Kosecka
Jana Kosecka is Professor at the Department of Computer Science, George Mason University. She obtained Ph.D. in Computer Science from University of Pennsylvania. Following her PhD, she was a postdoctoral fellow at the EECS Department at University of California, Berkeley. She is the recipient of David Marr's prize and received the National Science Foundation CAREER Award. Jana is a chair of IEEE technical Committee of Robot Perception, Associate Editor of IEEE Robotics and Automation Letters and International Journal of Computer Vision, former editor of IEEE Transactions on Pattern Analysis and Machine Intelligence. She held visiting positions at Stanford University, Google and Nokia Research. She is a co-author of a monograph titled Invitation to 3D vision: From Images to Geometric Models. Her general research interests are in Computer Vision and Robotics. In particular she is interested 'seeing' systems engaged in autonomous tasks, acquisition of static and dynamic models of environments by means of visual sensing and human-computer interaction.
Tomasz Malisiewicz
Tomasz Malisiewicz is a Research Scientist Manager at Meta Reality Labs, working on the next generation of wearable computing. His research lies at the intersection of Machine Learning, Visual SLAM, and Autonomous Mobility. Previously, as a Senior Research Scientist at Amazon Robotics AI, he worked on computer vision for robotic manipulation and robotics. As a Principal Engineer inside the Deep Learning team at Magic Leap, he led a research team and created new approaches to SLAM like SuperPoint and SuperGlue. He was a co-founder of VISION.AI, an object detection startup, and a Postdoctoral Researcher at MIT CSAIL, working with Antonio Torralba. He received his Ph.D. in Robotics from Carnegie Mellon University in 2011, supervised by Alyosha Efros. During his Ph.D., he received the NSF Graduate Research Fellowship, spent two summers as an intern at Google Research, and one semester as a visiting student at Ecole Normale Superieure in Paris.
Tomasz Malisiewicz
Tomasz Malisiewicz is a Research Scientist Manager at Meta Reality Labs, working on the next generation of wearable computing. His research lies at the intersection of Machine Learning, Visual SLAM, and Autonomous Mobility. Previously, as a Senior Research Scientist at Amazon Robotics AI, he worked on computer vision for robotic manipulation and robotics. As a Principal Engineer inside the Deep Learning team at Magic Leap, he led a research team and created new approaches to SLAM like SuperPoint and SuperGlue. He was a co-founder of VISION.AI, an object detection startup, and a Postdoctoral Researcher at MIT CSAIL, working with Antonio Torralba. He received his Ph.D. in Robotics from Carnegie Mellon University in 2011, supervised by Alyosha Efros. During his Ph.D., he received the NSF Graduate Research Fellowship, spent two summers as an intern at Google Research, and one semester as a visiting student at Ecole Normale Superieure in Paris.
Zihan Zhou
Zihan Zhou is currently the chief scientist at Manycore Tech Inc. (Kujiale.com), a world’s leading cloud-based SaaS design platform. Before joining Manycore Tech Inc., he was an assistant professor in the College of Information Sciences and Technology at The Pennsylvania State University. His research lies in the broad area of computer vision and machine learning, with a focus on developing new computational tools to model and analyze the 3D environments from big visual data, and apply them to solve challenging real-world problems in computer-aided design, VR/AR, social media, and more.
Zihan Zhou
Zihan Zhou is currently the chief scientist at Manycore Tech Inc. (Kujiale.com), a world’s leading cloud-based SaaS design platform. Before joining Manycore Tech Inc., he was an assistant professor in the College of Information Sciences and Technology at The Pennsylvania State University. His research lies in the broad area of computer vision and machine learning, with a focus on developing new computational tools to model and analyze the 3D environments from big visual data, and apply them to solve challenging real-world problems in computer-aided design, VR/AR, social media, and more.