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DTSTART:20070311T020000
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SEQUENCE:1
X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC
UID:242856
DTSTAMP:20260917T094332Z
DTSTART;TZID=America/New_York:20261001T160000
DTEND;TZID=America/New_York:20261001T165000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/ece-graduate-seminar-
 lecture-speaker-ziming-zhang-ece-department-wpi
SUMMARY:ECE Graduate Seminar Lecture\, Speaker: Ziming Zhang\, ECE Departme
 nt\, WPI
DESCRIPTION:Title:\nTwo Clouds of Points: The Problem at the Heart of Spati
 al Intelligence\; Why the obvious distance is wrong — and how to fix it\
 nAbstract:\nSpatial intelligence — knowing what is where and recognizing
  the same thing seen twice — underpins robotics\, navigation\, and 3D sc
 ene understanding. Almost all of it reduces to one primitive: matching one
  unordered set of points to another. This talk explains why the standard w
 ay of measuring that match quietly biases everything built on top of it\, 
 and how ideas from probability\, curved geometry\, and information theory 
 fix it without sacrificing efficiency. No prior background in 3D vision is
  assumed.\n\n\n\n      \n      \n\n\n\nSpeaker:\nZiming Zhang\nAssociate P
 rofessor\, ECE Department\, WPI\nBio:\nDr. Ziming Zhang is an Associate Pr
 ofessor at Worcester Polytechnic Institute. Before joining WPI he was a re
 search scientist at Mitsubishi Electric Research Laboratories (MERL) in 20
 16-2019. Prior to that\, he was a research assistant professor at Boston U
 niversity. Dr. Zhang received his PhD in 2013 from Oxford Brookes Universi
 ty\, UK\, under the supervision of Prof. Philip H. S. Torr (now in the Uni
 versity of Oxford). His research areas lie in computer vision and machine 
 learning\, especially in object recognition/detection\, data-efficient lea
 rning (e.g. zero-shot learning) and applications (e.g. person re-identific
 ation)\, deep learning\, optimization. His works have appeared in PAMI\, C
 VPR\, ICCV\, ECCV\, NIPS. He serves as a review/PC member for top conferen
 ces (e.g. CVPR\, ICCV\, NIPS\, ICML\, ICLR\, AAAI\, AISTATS\, IJCAI) and j
 ournals (e.g. PAMI\, IJCV\, JMLR). He won the R&D100 Award 2018.\n\nHost: 
 Professor John McNeill
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