臺大人工智慧與機器人研究中心邀請U.C. Berkeley Prof. Trevor Darrell前來訪問，並舉辦專題演講。

講者：Prof. Trevor Darrell
CS Division, University of California, Berkeley
Founding Co-Director, Berkeley Artificial Intelligence Research (BAIR), Berkeley Deep Drive (BDD), and BAIR Commons
(個人介紹頁面：https://people.eecs.berkeley.edu/~trevor/)

時間：2023/01/10 (二) 13:45 - 14:45
地點：臺大博理館 201 會議室

Abstract
  Unsupervised and cross-modal methods are rapidly overtaking supervised techniques as the dominant paradigm for visual learning. Models based on reconstruction, masking, and denoising have demonstrated ability to generalize from few examples, allow interpretable interaction, and learn from few or no labeled examples. I'll survey recent advances at Berkeley developing such models for visual pretraining of robotic agents, learning visual analogies, adapting to out-of-distribution data, and learning social gestures, and will speculate on future unified models as time permits.

Biography
    Prof. Darrell is on the faculty of the CS and EE Divisions of the EECS Department at UC Berkeley. He founded and co-leads Berkeley’s Berkeley Artificial Intelligence Research (BAIR) lab, the Berkeley DeepDrive (BDD) Indus-trial Consortia, and the recently launched BAIR Commons program in partnership with Facebook, Google, Mi-crosoft, Amazon, and other partners. He also was Faculty Director of the PATH research center at UC Berkeley, and led the Vision group at the UC-affiliated International Computer Science Institute in Berkeley from 2008-2014. Prior to that, Prof. Darrell was on the faculty of the MIT EECS department from 1999-2008, where he di-rected the Vision Interface Group. He was a member of the research staff at Interval Research Corporation from 1996-1999, and received the S.M., and PhD. degrees from MIT in 1992 and 1996, respectively. He obtained the B.S.E. degree from the University of Pennsylvania in 1988. Darrell’s group develops algorithms for large-scale per-ceptual learning, including object and activity recognition and detection, for a variety of applications including au-tonomous vehicles, media search, and multimodal interaction with robots and mobile devices. His areas of interest include computer vision, machine learning, natural language processing, and perception-based human computer interfaces.
    Prof. Darrell also serves as consulting Chief Scientist for the start-up Grabango, which is developing checkout-free shopping experiences, and for Nexar, which is pioneering city-scale visual driving analytics. Darrell is on the scientific advisory board of several other ventures, including WaveOne, SafelyYou, and KiwiBot, and Center Stage. Previously, Darrell advised Pinterest, Tyzx (acquired by Intel), IQ Engines (acquired by Yahoo), Koozoo, BotSquare/Flutter (acquired by Google), MetaMind (acquired by Salesforce) and DeepScale. Darrell has also served as an expert witness for patent litigation relating to computer vision.

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