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서울대학교 공과대학

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[대학원 (협)인공지능전공] IPAI 세미나

  • 작성자

    정현지

  • 등록일

    2024.04.16

  • 조회수

    1,389

안녕하세요.

대학원 협동과정 인공지능전공입니다.

우리 전공에서는 UC Berkeley의 Jitendra Malik 교수님을 모시고, 아래와 같이 세미나를 진행하고자 하오니 관심있는 학생들의 많은 참여 바랍니다.

 

 

▶ 주제: Reconstructing and Recognizing Human Actions in Video

▶ 연사: Jitendra Malik /  UC Berkeley

▶ 일시: 2024년 4월 19일(금) 16:30~

▶ 장소: 39동 B103호 BK다목적회의실

 

 

서울대학교 대학원 협동과정 인공지능전공 IPAI 세미나 일시 | 2024년 4월 19일 16:30~18:00 장소 | 39동 B103호 BK다목적회의실 Prof. Jitendra Malik UC Berkeley Reconstructing and Recognizing Human Actions in Video ________________________________________ Abstract Humans are social animals. Perhaps this is why we so enjoy watching movies, TV shows and YouTube videos, all of which show people in action. A central problem for artificial intelligence therefore is to develop techniques for analyzing and understanding human behavior from images and video. I will present some recent results from our research group towards this grand challenge. We have developed highly accurate techniques for reconstructing 3D meshes of human bodies from single images using transformer neural networks. Given video input, we link these reconstructions over time by 3D tracking, thus producing Humans in 4D (3D in space + 1D in time). As a fun application, we can use this capability to transfer the 3D motion of one person to another e.g. to generate a video of you performing Michael Jackson’s moonwalk or Michelle Kwan’s skating routine. The ability to do 4D reconstruction of hands is a source of imitation learning for robotics and we show examples of reconstructing human-object interactions. In addition to 4D reconstruction, we are also now able to recognize actions by attaching semantic labels such as standing, running, or jumping. However, long range video understanding, such as the ability to follow characters’ activities and understand movie plots over periods of minutes and hours, is still quite a challenge, and even the largest vision-language models struggle on such tasks. There has been substantial progress, but much remains to be done. ________________________________________ Bio Jitendra Malik is the Arthur J. Chick Professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. He is also part-time Research Scientist Director at Meta. Malik’s research group has worked on many different topics in computer vision, human visual perception, robotics, machine learning and artificial intelligence. Several well-known concepts and algorithms arose in this research, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, shape contexts and R-CNN. His honors include the 2013 IEEE PAMI-TC Distinguished Researcher in Computer Vision Award, the 2014 K.S. Fu Prize from the International Association of Pattern Recognition, the 2016 ACM-AAAI Allen Newell Award, the 2018 IJCAI Award for Research Excellence in AI, and the 2019 IEEE Computer Society Computer Pioneer Award. He is a member of the National Academy of Engineering and the National Academy of Sciences, and a fellow of the American Academy of Arts and Sciences. ________________________________________ IPAI 서울대학교 대학원 협동과정 인공지능전공 Institute of Artificial Intelligence