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UID:88@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20241212T160000
DTEND;TZID=Asia/Kolkata:20241212T170000
DTSTAMP:20241207T061239Z
URL:https://cds.iisc.ac.in/events/seminar-cds-102-december-12th-0400-multi
 modal-spatial-intelligence-for-interacting-in-a-dynamic-world/
SUMMARY:{Seminar} @ CDS: #102\, December 12th\, 04:00: "Multimodal Spatial 
 Intelligence for Interacting in a Dynamic World."
DESCRIPTION:Department of Computational and Data Sciences\nDepartment Semin
 ar\n\n\n\nSpeaker : Prof. Deva Ramanan\, Robotics Institute\, Carnegie Mel
 lon University\nTitle :"Multimodal Spatial Intelligence for Interacting in
  a Dynamic World"\nDate &amp\; Time : December 12\, 2024\, 04:00 PM\nVenue
  : # 102\, CDS Seminar Hall\n\n\n\nABSTRACT\nArtificial intelligence and m
 achine learning are enjoying a period of tremendous progress\, driven in l
 arge part by scale\, compute\, and learnable neural representations. Howev
 er\, such innovations have yet to translate to the physical world\, as tec
 hnologies such as self-driving vehicles are still restricted to limited de
 ployments. In this talk\, I will argue that autonomy requires spatial thre
 e-dimensional understanding integrated with intuitive physical models of a
  changing world. To do so\, I will discuss a variety of models that revisi
 t classic "analysis by synthesis" approaches to scene understanding\, taki
 ng advantage of recent advances in differentiable rendering and simulation
 . But to enable data-driven autonomy for safety-critical applications\, I 
 will also argue that the community needs new perspectives on data curation
  and annotation. Toward this end\, I will discuss approaches that leverage
  multimodal vision-language models to better characterize datasets and mod
 els.\n\nBIO: Deva Ramanan is a Professor in the Robotics Institute at Carn
 egie- Mellon University and the former director of the CMU Center for Auto
 nomous Vehicle Research. His research interests span computer vision and m
 achine learning\, with a focus on visual recognition. He was awarded the D
 avid Marr Prize in 2009\, the PASCAL VOC Lifetime Achievement Prize in 201
 0\, the IEEE PAMI Young Researcher Award in 2012\, named one of Popular Sc
 ience's Brilliant 10 researchers in 2012\, named a National Academy of Sci
 ences Kavli Fellow in 2013\, won the Longuet-Higgins Prize for fundamental
  contributions in computer vision in both 2018 and 2024\, and was recogniz
 ed for best paper finalist / honorable mention awards in CVPR 2019\, ECCV 
 2020\, and ICCV 2021. His work is supported by NSF\, ONR\, DARPA\, as well
  as industrial collaborations with Intel\, Google\, and Microsoft. He serv
 ed at the program chair of the IEEE Computer Vision and Pattern Recognitio
 n (CVPR) 2018. He is on the editorial board of the International Journal o
 f Computer Vision (IJCV) and is an associate editor for the IEEE Transacti
 ons on Pattern Analysis and Machine Intelligence (PAMI). He regularly serv
 es as a senior program committee member for CVPR\, the International Confe
 rence on Computer Vision (ICCV)\, and the European Conference on Computer 
 Vision (ECCV). He also regularly serves on NSF panels for computer vision 
 and machine learning.\n\nHost Faculty: Prof. Venkatesh Babu\n\n\n\nALL ARE
  WELCOME
CATEGORIES:Events,Talks
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