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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
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DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030342Z
LOCATION:Meeting Room S423+S424\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251217T163000
DTEND;TZID=Asia/Hong_Kong:20251217T173500
UID:siggraphasia_SIGGRAPH Asia 2025_sess144@linklings.com
SUMMARY:Cameras, Sensors, and Acquisition
DESCRIPTION:The Technical Papers program is the heartbeat of SIGGRAPH Asia
 , spotlighting world-class scholarly research at the forefront of computer
  graphics and interactive techniques. For decades, it has been the definit
 ive venue where bold ideas take root, foundational concepts are reimagined
 , and the future of visual computing is shaped.\n\nThis year, we explore n
 ew intersections of algorithms and artistry, automation and authorship, to
 ols and imagination – challenging the very way we design, simulate, visual
 ize, and interact with digital worlds.\n\nUnderwater Optical Backscatter C
 ommunications using Acousto-Optic Beam Steering\n\nWe present a high-speed
  underwater optical backscatter communication technique based on acousto-o
 ptic light steering. Our approach enables underwater assets to transmit da
 ta at rates potentially reaching hundreds of Mbps, vastly outperforming cu
 rrent state-of-the-art optical and underwater backscatt...\n\n\nAtul Rohit
  Agarwal, Dhawal Sirikonda, and Atharv Agashe (Dartmouth College); Ziang R
 en (Columbia University); Dinithi Silva-Sassaman (Dartmouth College); Char
 les Carver (Columbia University); Alberto Quattrini Li (Dartmouth College)
 ; Xia Zhou (Columbia University); and Adithya Pediredla (Dartmouth College
 )\n---------------------\nShoot-Bounce-3D: Single-Shot Occlusion-Aware 3D 
 from Lidar by Decomposing Two-Bounce Light\n\n3D scene reconstruction from
  a single measurement is challenging, especially in the presence of occlud
 ed regions and specular materials, such as mirrors. We address these chall
 enges by leveraging single-photon lidars. These lidars estimate depth from
  light that is emitted into the scene and reflecte...\n\n\nTzofi Klinghoff
 er and Siddharth Somasundaram (MIT Media Lab); Xiaoyu Xiang, Yuchen Fan, a
 nd Christian Richardt (Meta); Akshat Dave and Ramesh Raskar (MIT Media Lab
 ); and Rakesh Ranjan (Meta)\n---------------------\nLookUp3D: Data-Driven 
 3D Scanning\n\nHigh speed, high-resolution, and accurate 3D scanning would
  open doors to many new applications in graphics, robotics, science, and m
 edicine by enabling the accurate scanning of deformable objects during int
 eractions. Past attempts to use structured light, time-of-flight, and ster
 eo in high-speed se...\n\n\nGiancarlo Pereira, Yidan Gao, Yurii Piadyk, Da
 vid Fouhey, Claudio Silva, and Daniele Panozzo (New York University)\n----
 -----------------\nRobust Single-shot Structured Light 3D Imaging via Neur
 al Feature Decoding\n\nWe consider the problem of active 3D imaging using 
 single-shot structured light systems, which are widely employed in commerc
 ial 3D sensing devices such as Apple Face ID and Intel RealSense. Traditio
 nal structured light methods typically decode depth correspondences throug
 h pixel-domain matching alg...\n\n\nJiaheng Li (Wangxuan Institute of Comp
 uter Technology, Peking University); Qiyu Dai (School of Intelligence Scie
 nce and Technology, Peking University); Lihan Li (Yuanpei College, Peking 
 University); Praneeth Chakravarthula (University of North Carolina at Chap
 el Hill (UNC)); He Sun (College of Future Technology, Peking University); 
 Baoquan Chen (School of Intelligence Science and Technology, Peking Univer
 sity; State Key Laboratory of General Artificial Intelligence, Peking Univ
 ersity); and Wenzheng Chen (Wangxuan Institute of Computer Technology, Pek
 ing University; State Key Laboratory of General Artificial Intelligence, P
 eking University)\n---------------------\nFovea Stacking: Imaging with Dyn
 amic Localized Aberration Correction\n\nThe desire for cameras with smalle
 r form factors has recently led to a push for exploring computational imag
 ing systems with reduced optical complexity such as a smaller number of le
 ns elements. Unfortunately such simplified optical systems usually  suffer
  from severe aberrations, especially in off-...\n\n\nShi Mao, Yogeshwar Na
 th Mishra, and Wolfgang Heidrich (King Abdullah University of Science and 
 Technology (KAUST))\n---------------------\nTransient LASSO: Transient Lar
 ge-Scale Scene Reconstruction\n\nReconstructing the geometry and appearanc
 e of a given scene is a fundamental task in 3D computer graphics and compu
 ter vision. Recently, radiance fields emerged as a representation of light
  transport in the scene, allowing, as a byproduct, also to extract 3D geom
 etry solely from multi-view imagery. ...\n\n\nDominik Scheuble (Mercedes B
 enz AG, Technical University of Darmstadt); Andrea Ramazzina (Mercedes-Ben
 z AG, Technical University of Munich); Hanno Holzhüter (Microvision Inc, L
 eibniz University Hannover); Stefano Gasperini (Technical University of Mu
 nich); Steven Peters (Technical University of Darmstadt); Federico Tombari
  (Technical University of Munich, Google); and Mario Bijelic and Felix Hei
 de (Princeton University, Torc Robotics)\n\nRegistration Category: Full Ac
 cess, Full Access Supporter\n\nSession Chair: Seung-Hwan Baek (POSTECH)
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