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

PhD Thesis Defense
Albert Wu
Carnegie Mellon University

The theory, implementation, and evaluation of spring mass running on ATRIAS, a bipedal robot

Event Location: NSH 3305Abstract: We expect legged robots to be highly mobile. Human walking and running can execute quick changes in speed and direction, even on non-flat ground. Indeed, analysis of simplified models shows that these quantities can be tightly controlled by adjusting the leg placement between steps, and that leg placement can also compensate [...]

PhD Thesis Proposal
Jacob Charles Walker
Carnegie Mellon University

Data-Driven Visual Forecasting

Event Location: GHC 4405Abstract: Understanding the temporal dimension of images is a fundamental part of computer vision. Humans are able to interpret how the entities in an image will change over time. However, it has only been relatively recently that researchers have focused on visual forecasting—getting machines to anticipate events in the visual world before [...]

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 [...]

RI Seminar

From Drones To Robots, The Road To Make Technologies More Accessible

NSH 1305

Shuo Yang Director of Intelligent Navigation Technologies, DJI Abstract Over the past decade, DJI has developed several world-leading drone products, turning cutting-edge technologies such as high resolution image transmission, visual odometry, and learning-based object tracking into affordable commercial products. Along with all these technological successes, DJI is exploring innovative ways to make them more accessible. [...]

PhD Thesis Proposal
Abhijeet Tallavajhula
Carnegie Mellon University

Flexible and High-Fidelity Off-Road Lidar Scene Simulation

Event Location: NSH 3305Abstract: As the target scale of robot operations grows, so too does the challenge of developing software for such systems. It may be difficult, unsafe, or expensive to develop software on enough real-world conditions. Similarly, as the target applications of learning algorithms grow, so too do the challenges of gathering adequate training [...]

VASC Seminar
Prof. Roberto Manduchi manduchi@soe.ucsc.edu
Professor of Computer Engineering
University of California, Santa Cruz

Assistive technology for wayfinding, information access, and public transit

Event Location: Newell Simon Hall 1507Bio: Roberto Manduchi is a Professor of Computer Engineering at the University of California, Santa Cruz, where he conducts research in the areas of computer vision and sensor processing with applications to assistive technology. Prior to joining UCSC in 2001, he worked at the NASA Jet Propulsion Laboratory and at [...]