Detection, segmentation and fine-grained localization
Event Location: NSH 1507Bio: I am a fifth year graduate student with Prof. Jitendra Malik in the Vision group at University of California Berkeley. I did my undergraduate at the Indian Institute of Technology, Delhi. My interests are in Computer Vision and Machine learning. I am funded by a Microsoft Research Fellowship.Abstract: Object recognition in [...]
Online Lidar and Vision based Ego-motion Estimation and Mapping
Event Location: NSH 1507Abstract: In many real-world applications, motion estimation and mapping must be conducted online and in real-time. The real-time motion estimates are important for controlling and maneuvering autonomous vehicles, and the maps generated online are critical for obstacle avoidance and path planning. Further, the final map can be used as a representation of [...]
Designing and Overcoming Challenges in Large-Scale Object Detection
Event Location: NSH 3305Bio: Olga Russakovsky (http://ai.stanford.edu/~olga) is a PhD student at Stanford University advised by Professor Fei-Fei Li. Her main research interests are in large-scale object detection and recognition. For the past two years she has been the lead organizer of the international ImageNet Large Scale Visual Recognition Challenge which has been featured in [...]
Bio-Inspired Dynamic Surface Grasping
Event Location: NSH 1305Bio: Mark R. Cutkosky is the Fletcher Jones Professor in the Dept. of Mechanical Engineering at Stanford University. He joined Stanford in 1985, after working in the Robotics Institute at Carnegie Mellon University and as a design engineer at ALCOA, in Pittsburgh, PA. He received his Ph.D. in Mechanical Engineering from Carnegie [...]
Words, Pictures, and Imagination
Event Location: NSH 1109Bio: Devi Parikh is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech (VT) and an Allen Distinguished Investigator of Artificial Intelligence. She leads the Computer Vision Lab at VT, and is also a member of the Virginia Center for Autonomous Systems (VaCAS) and the VT [...]
Hedging Against Uncertainty via Multiple Diverse Predictions
Event Location: NSH 1109Bio: Dhruv Batra is an Assistant Professor at the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he leads the VT Machine Learning & Perception group. He is a member of the Virginia Center for Autonomous Systems (VaCAS) and the VT Discovery Analytic Center (DAC). Prior to joining VT, [...]
Set-Based Design and Evolution
Event Location: GHC 2109Bio: Dr. Gideon Avigad has recently joined Vineland Research and Innovation Centre as Program Leader - Robotics & Automation. He has been a tenure at the Mechanical Engineering Department, Braude College of Engineering, Israel where he taught control and mechatronics related courses and led many robotics R&D projects. In the last two [...]