BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Australia/Melbourne
X-LIC-LOCATION:Australia/Melbourne
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:19721003T020000
RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:19721003T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20240214T070310Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T123000
DTEND;TZID=Australia/Melbourne:20231213T133600
UID:siggraphasia_SIGGRAPH Asia 2023_sess163@linklings.com
SUMMARY:Motion Synthesis with Awareness
DESCRIPTION:Technical Papers\n\nDROP: Dynamics Responses from Human Motion
  Prior and Projective Dynamics\n\nSynthesizing realistic human movements, 
 dynamically responsive to the environment, is a long-standing objective in
  character animation, with applications in computer vision, sports, and he
 althcare, for motion prediction and data augmentation. Recent kinematics-b
 ased generative motion models offer im...\n\n\nYifeng Jiang (Stanford Univ
 ersity), Jungdam Won (Seoul National University), Yuting Ye (Meta Reality 
 Labs Research), and C. Karen Liu (Stanford University)\n------------------
 ---\nObject Motion Guided Human Motion Synthesis\n\nModeling human behavio
 rs in contextual environments has a wide range of applications in characte
 r animation, embodied AI, VR/AR, and robotics. In real-world scenarios, hu
 mans frequently interact with the environment and manipulate various objec
 ts to complete daily tasks. In this work, we study the p...\n\n\nJiaman Li
 , Jiajun Wu, and Karen Liu (Stanford University)\n---------------------\nS
 ynthDa: Exploiting Existing Real-World Data for Usable and Accessible Synt
 hetic Data Generation\n\nSynthDa: Empowering computer vision with automate
 d synthetic data. Integrating 3 steps, it provides diverse synthetic data 
 from real-world datasets for evaluations. Our experiments challenge data q
 uantity beliefs, challenging current beliefs.\n\n\nMegani Rajendran (NVIDI
 A), Chek Tien Tan and Indriyati Atmosukarto (Singapore Institute of Techno
 logy), Aik Beng Ng (NVIDIA), Zhihua Zhou (Singapore Institute of Technolog
 y), and Andrew Grant and Simon See (NVIDIA)\n---------------------\nMotion
  to Dance Music Generation using Latent Diffusion Model\n\nOur method is a
  motion-to-music generation model capable of producing dance music from 3D
  motion data and genre. It utilizes a latent diffusion-based architecture 
 paired with a pre-trained VAE model.\n\n\nVanessa Tan, JungHyun Nam, Juhan
  Nam, and Junyong Noh (Korea Advanced Institute of Science and Technology 
 (KAIST))\n---------------------\nCommonsense Knowledge-Driven Joint Reason
 ing Approach for Object Retrieval in Virtual Reality\n\nOut-of-reach objec
 t retrieval is an important task in virtual reality (VR). Gesture-based ap
 proach, one of the most commonly used approaches, enables bare-hand, eyes-
 free, and direct retrieval by using assigned gestures. However, it is diff
 icult to retrieve an object from plenty of objects accuratel...\n\n\nHaiya
 n Jiang (Beijing Institute of Technology; National Key Laboratory of Gener
 al Artificial Intelligence, Beijing Institute for General Artificial Intel
 ligence (BIGAI)); Dondong Weng (Beijing Institute of Technology); Xiaonuo 
 Dongye (Beijing Institute of Technology; National Key Laboratory of Genera
 l Artificial Intelligence, Beijing Institute for General Artificial Intell
 igence (BIGAI)); Le Luo (Beijing Institute of Technology); and Zhenliang Z
 hang (National Key Laboratory of General Artificial Intelligence, Beijing 
 Institute for General Artificial Intelligence (BIGAI))\n------------------
 ---\nComputational Design of Wiring Layout on Tight Suits with Minimal Mot
 ion Resistance\n\nAn increasing number of electronics are directly embedde
 d on the clothing to monitor human status (skeletal motion or electromyogr
 am activity) or provide haptic feedback.\nA specific challenge to prototyp
 e and fabricate such a clothing is to design the wiring layout, to minimiz
 e the intervention to h...\n\n\nKai Wang, Xiaoyu Xu, Yinping Zheng, Da Zho
 u, and Shihui Guo (Xiamen University); Yipeng Qin (School of Computer Scie
 nce and Informatic, Cardiff University); and Xiaohu Guo (University of Tex
 as at Dallas)\n\nRegistration Category: Full Access\n\nSession Chair: Chek
  Tien Tan (Singapore Institute of Technology)
END:VEVENT
END:VCALENDAR