VASC Seminar
Jovan Popovic
Senior Principal Scientist
Adobe Research

Character Animator

Bio: Jovan Popovic is a Senior Principal Scientist at Adobe Systems. After receiving bachelor's degrees in mathematics and computer science in 1995, he attended the University of Washington and Carnegie Mellon University, where he earned a doctoral degree for his work in computer animation and geometric modeling. He was on the faculty at the Massachusetts [...]

VASC Seminar
Tali Dekel
Research Scientist
Google Inc.

Exploring and Modifying Spatial Variations in a Single Image

Event Location: Gates Hillman 5222Bio: Tali Dekel is currently a Research Scientist at Google, working on developing computer vision and computer graphics algorithms. Before Google, she was a Postdoctoral Associate at the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT, working with Prof. William T. Freeman. Tali completed her Ph.D studies at the school [...]

VASC Seminar
Larry Zitnick
Research Manager
Facebook AI Research

Reasoning About Our Visual World

Event Location: Newell Simon Hall 1507Bio: C. Lawrence Zitnick is a research manager at Facebook AI Research, and an affiliate associate professor at the University of Washington. He is interested in a broad range of topics related to artificial intelligence including object recognition, the relation of language and imagery, and methods for gathering common sense [...]

VASC Seminar
Julian Panetta
‎PhD Student
New York University

Fine-Scale Structure Design for 3D Printing

Event Location: Newell Simon Hall 1507Bio: Julian Panetta is a PhD candidate at NYU's Courant Institute, where he is advised by Denis Zorin. Julian is interested in simulation and optimal designproblems, specifically focusing on applications for 3D printing. Before joining NYU, he received his BS in computer science from Caltech and did research at NASA's [...]

VASC Seminar
Qixing Huang
Assistant Professor
University of Texas at Austin

Visual Correspondences in the Big Data Era

Event Location: Newell Simon Hall 1507Bio: Qixing Huang is an assistant professor at the University of Texas at Austin. He obtained his PhD in Computer Science from Stanford University and his MS and BSin Computer Science from Tsinghua University. He was a research assistant professor at Toyota Technological Institute at Chicago before joining UT Austin. [...]

VASC Seminar
Jiajun Wu
Graduate Student
MIT

Computational Perception of Geometric and Physical Object Properties

Event Location: Newell Simon Hall 1507Bio: Jiajun Wu is a third-year Ph.D. student at Massachusetts Institute of Technology, advised by Professor Bill Freeman and Professor Josh Tenenbaum. His research interests lie on the intersection of computer vision, machine learning, and computational cognitive science. Before coming to MIT, he received his B.Eng. from Tsinghua University, China, [...]

VASC Seminar

Me Car, You Human: Understanding Human Activity for Intelligent Collaborative Robotic Vehicles

Newell Simon Hall 1507

Eshed Ohn-Bar Postdoctoral Researcher, University of California, San Diego Abstract The goal of my research is to develop human-centered algorithms for intelligent and autonomous systems. The research emphasizes modeling the perception, intent, and behavior of humans inside and around a vehicle. Over a decade has passed since the DARPA Grand Challenges, and the way in [...]

VASC Seminar
Li, Yin
PhD Candidate Georgia Institute
Georgia Institute of Technology

Attention and Activities in First Person Vision

Event Location: Newell Simon Hall 1507Bio: Yin Li is currently a doctoral candidate in the School of Interactive Computing at the Georgia Institute of Technology. His research interests lie at the intersection of computer vision and mobile health. Specifically, he creates methods and systems to automatically analyze first person videos, known as First Person Vision [...]

VASC Seminar

TBA: Yin Li

Newell Simon Hall 1507

VASC Seminar
Dinesh Jayaraman
PhD Candidate
University of Texas at Austin

Embodied learning for visual recognition

Event Location: Gates 7101Bio: Dinesh Jayaraman is a PhD candidate in Kristen Grauman's group at UT Austin. His research interests are broadly in visual recognition and machine learning. In the last few years, Dinesh has worked on visual learning and active recognition in embodied agents, unsupervised representation learning from unlabeled video, visual attribute prediction, and [...]