IVC People

Faculty

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  Margrit Betke

  Professor and Associate Chair of the Faculty

• 

  Bryan Plummer

  Assistant Professor

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  Kate Saenko

  Professor

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  Stan Sclaroff

  Professor & Dean of the College of Arts & Sciences

PhD Students

Dina Bashkirova

Dina is a PhD candidate in the Image and Video Computing Group advised by Professor Kate Saenko. Her research is focused on robust and semantically-consistent conditional image and video generation and generative domain alignment. Dina is also interested in applications of AI and Computer Vision for Good. Prior to that, Dina received her BSc and MSc with honors in Computer Science from Kazan Federal University.

Aoming Liu

Aoming Liu joined the Image and Video Computing group in 2022. He is advised by Prof. Bryan Plummer. Prior to his Ph.D, he obtained Master degree from ETH Zurich, and Bachelor degree from Xi’an Jiaotong University.

Nannan Li

Nannan Li joined the Image and Video Computing group in 2021. She is advised by Prof. Bryan Plummer. Prior to her PhD, she graduated from Wuhan University with a Master’s degree in Pattern Recognition and Intelligent Systems. Her research focuses on computer vision and machine learning.

Andrea Burns

Andrea is a second year PhD student in the Image and Video Computing Group. She is advised by Professor Kate Saenko and Professor Bryan A. Plummer. Andrea works on problems at the intersection of computer vision and natural language processing (vision and language). Prior to joining Boston University, she graduated Summa Cum Laude with a Bachelor of Science in Mathematics and Computer Science from Tulane University.

Diala Lteif

Diala joined the Computer Science department in 2019. Before joining BU, she received a Bachelor’s degree in Computer Science at the American University of Beirut, Lebanon. She is keenly interested in interpretable and efficient machine learning and computer vision. She is currently working on explainable AI with Professor Sarah Adel Bargal, and on cross-layer parameter sharing for resource-efficient on-device learning with Professor Bryan Plummer.

Samarth Mishra

Samarth is a PhD student in the Image and Video Computing group, advised by Prof. Derry Wijaya and Prof. Kate Saenko. He started his PhD in Fall 2019. Previously, he received his master’s degree in Spring 2019 from Georgia Tech, where he was advised by Prof. James Rehg at the Computational Perception Laboratory. He graduated with a bachelor’s degree in Spring 2017 from IIT Bombay, where his thesis work was advised by Prof. Suyash Awate.

Vitali Petsiuk

Vitali is a Ph.D student advised by Prof. Kate Saenko. He joined IVC group in 2017. His research interest focuses on computer vision and machine learning, particularly on explainable and interpretable AI. He got his bachelor’s degree in Computer Science from Belarusian State University where he did some research work on Image Segmentation.

Wenda Qin

Wenda is a Ph.D student advised by Prof. Margrit Betke. He joined IVC group in 2018. His primary research interests are in computer vision and machine learning. Prior to joining the PhD program, he received a Master’s in Computer Science at BU, and a Bachelor’s in Engineering at the South China University of Technology

Maan Qraitem

Maan joined the Image and Video Computing Group in 2020. Before that, he earned his B.A from Colby college in Computer Science and Statistics. His research is focused on Bias Mitigation in Computer Vision Models..

Arijit Ray

Arijit Ray joined the Image and Video Computing group as a Ph.D. Student in Fall 2021. He is advised by Prof. Kate Saenko and Prof. Bryan Plummer. Prior to joining BU, he worked at SRI International (formerly, Stanford Research Institute) on Explainable AI. He received his MS from Virginia Tech, where he was advised by Prof. Devi Parikh and Prof. Dhruv Batra. In his research, he is excited about how to make human-AI and AI-AI teams solve tasks effectively. Consequently, he is interested in and works on models that leverage vision, language and audio to do societal good.

Ximeng Sun

Ximeng is a Ph.D. Student who joined the Computer Science Department at Boston University in Spring, 2019. She is advised by Prof. Kate Saenko. Her research mainly focuses on the deep learning and computer vision, with an emphasis on video-level deep generative models. Before joining IVC, she received her Master of Science degree in the Electrical and Computer Engineering at University of Michigan, Ann Arbor

Reuben Tan

Reuben joined the Image and Video Computing group as a PhD student in 2018. He is advised by Professor Kate Saenko. His primary research interests lie in applications of machine learning in vision-language tasks and video understanding.

Piotr Tetewark

Piotr joined the group in 2020 and is advised by Professor Kate Saenko. Prior to his PhD, he was an AI Resident on the Perception Team at Google Research, where he spent two amazing years, working with Dr. Dilip Krishnan, Dr. Ce Liu, Professor Mike Mozer, and many others. Prior to that, he spent time on the ML team at Apple, and worked at a startup called Turi. He got his Bachelor’s degree in Computer Science from Dartmouth College.

Siqi Wang

Siqi joined the IVC group in 2020. Prior to joining the PhD program at BU, she obtained a Master’s degree in Computer Science at Brown University in 2020 and a Bachelor’s in Computer Science from Beihang University in 2018.

Zhongping Zhang

Zhongping started his PhD in 2019 and is advised by Prof. Bryan Plummer. He received his bachelor’s degree from Harbin Institute of Technology in 2016, and his master degree from University of Rochester in 2018. His research interest spans Computer Vision and its relations to Data Mining, Image Processing, Natural Language Processing, etc.

Yi Zheng

Yi started the PhD program in the computer science Department at Boston University in 2017. He is advised by Prof. Margrit Betke. Prior to joining BU, Yi graduated from the University of Southern California and worked as an algorithm engineer in image quality team in General Electrics, Healthcare department for one year. His primary research interests focus on computer vision and machine learning. In the past year, he has worked on object detection for digital radiography and X-ray equipment.

Chau Pham

Chau Pham is a Ph.D. student in the Image and Video Computing Group, advised by Prof. Bryan Plummer.
His research focuses on Machine Learning, particularly vision and language, and efficient Deep Learning. Previously, he earned his bachelor’s degree in Computer Science (Honors Program) from HCMUT, Vietnam.

Kaihong Wang

Kaihong Wang is a fourth-year PhD candidate in the Department of Computer Science at Boston University advised by Margrit Betke. He obtained my Master of Science degree in CS at BU in 2020. He is generally interested in topics that seek to minimize human efforts in supervision among various computer vision tasks via domain adaptive approaches, especially learning from synthetic data.

UROP/REU and MA students

Alumni