Upcoming Talk

2021/04/26 Mon 4-6 PM
Via Zoom due to COVID-19
Ruben Villegas (Adobe / Research Scientist)
Neural Networks for Human Motion Modeling and Animation
(English)

Details »

Mon
MAR
08
Rohan Paul (Indian Institute of Technology Delhi (IITD) / Assistant Professor)
Bridging the Semantic Gap between Robots and Humans
(English)  
Mon
MAR
15
Minjoon Seo (KAIST Graduate School of AI / Assistant Professor)
Neural Interface for World Knowledge
(English)  
Mon
MAR
22
백승욱 (Lunit / 의장)
Conquering cancer through AI
(Korean)  
Mon
MAR
29
Xinchen Yan (Uber / Research Scientist)
Learning Deep Controllable and Structured Representations for Visual Content Synthesis and Manipulation
(English)  
Mon
APR
12
Juho Lee (KAIST Graduate School of AI / Assistant Professor)
Deep amortized inference with sets
(English)  
Mon
APR
26
Ruben Villegas (Adobe / Research Scientist)
Neural Networks for Human Motion Modeling and Animation
(English)  
Mon
MAY
03
박언규 (Samsung Research / 랩장)
Digital Twin for Embodied AI
(Korean)  
Mon
MAY
10
Minhyuk Sung (KAIST School of Computing / Assistant Professor)
3D Deep Learning – Toward Learning the Compositional Structure in 3D Shapes
(English)  
Mon
MAY
17
Tapomayukh Bhattacharjee (Cornell University / Assistant Professor)
Building Caregiving Robots that can touch, sense, and feed people
(English)  
Mon
MAY
24
박세근 (아주IB투자 / 투자이사)
벤처캐피탈에 대한 이해와 벤처투자자의 관점에서 본 스타트업
(Korean)  
Mon
MAY
31
Junhyuk Oh (Google Deepmind / Senior Research Scientist)
From Learning Complex Behaviors to Learning Algorithms
(English)  
Mon
JUN
07
Hyeonwoo Noh (OpenAI / Research Scientist)
Reinforcement learning with automatic task discovery
(English)  
Attendance
When

Mon 4:00 - 6:00 PM

Where

Zoom ( Link )

How to check attendance

Attendance is accepted only if both conditions are met:

  • Condition 1) Before the start of the lecture
    • Enter "Student ID/Name" in the chat window after entering the online remote lecture.
    • Only those who enter chat from 15:50 to 16:10 will be treated as attendance.
    • Advance entry is recommended to avoid disadvantages due to network instability.
  • Condition 2) After the lecture ends
    • Submit the Google survey form for attendace check. The link will be available 30 minutes after each lecture starts.
    • Only those submitted by 18:00 the next day (24 hours after the end of class) will be accepted.
    • Incorrect or plagiarism comments will not be counted as attendance.
Attendance Policy
  • [IMPORTANT] To get the S(pass) grade, you should attend 8 or more sessions.
  • At least 6 attendances must be permitted only at this SoC Colloquium.
  • Regarding the remaining number of attendance, attendance at the following seminars is also accepted:
  • Incorrect or plagiarism comments will not be counted as attendance.
  • Please e-mail the TA(jinwoo-kim@kaist.ac.kr) for any questions regarding your attendance.
Attending Other Seminar
  • Take a picture of your face in the seminar (if the lecture is held online, print a screenshot of the online lecture including a camera window showing your face)
  • Fill out the Google survey form and submit it.
  • Incorrect or plagiarism comments will not be counted as attendance.
Contacts
Instructor

Prof. Daehyung Park link

Prof. Seunghoon Hong link

Teaching Assistant

Janghyuk Choi (janghyuk.choi@kaist.ac.kr)

Jinwoo Kim (jinwoo-kim@kaist.ac.kr)