IIT Gandhinagar is Hosting the 13th Conference on Computer Vision, Graphics and Image Processing

New Delhi: From December 8 to 10, 2022, the Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) will take place at the Indian Institute of Technology (IIT) Gandhinagar. The Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), a member of the International Association for Pattern Recognition, is organising the international conference (IAPR).

The conference at IIT Gandhinagar will feature presentations on cutting-edge fields of computer vision, graphics, and image processing, and will draw in over 300 participants from India and overseas, including students, faculty members, and industry specialists.

Three plenary talks will be given: "Strong Interpretable Priors Are All We Need," by Tali Dekel, assistant professor of mathematics and computer science at the Weizmann Institute in Israel, and "Instant NGP: Neural Networks in High-Performance Graphics," by Dr. Thomas Muller, principal research scientist at NVIDIA Research, and "Professor Santanu Chaudhury, director of IIT Jodhpur."

Leading domestic and international companies like Qualcomm, Adobe, L&T Technology Services, Samsung, Google, TCS Research, Bosch, and Vehant Technologies have joined forces with IITGN for ICVGIP 2022.

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Enabling the Metaverse with Qualcomm, Camera Snapdragon® 8 Gen 2 Mobile Platform, Under Display Camera: A Breakthrough Innovation, Image and Video Editing via Manipulating Intermediate Representations, and Computer Vision Sensing in Field Safety and Defect Tracking Applications are just a few of the topics that will be covered during the industry sessions.

The themes of Physics-based Rendering in the Service of Computational Imaging and Designing and Optimising Computational Imaging Systems with End-to-End Learning will also be covered in tutorial sessions.

Additionally, it will have doctoral symposiums, oral and spotlight sessions, and Vision India on subjects like Advanced Surgical Assistance Systems for Smart Health Care; limited supervision for deep neural networks; a programme that automatically evaluates interview performance using audio and emotional cues; Student Expression Dataset using Masking; Split and Knit: Single-camera 3D fingerprint capture; Indian Road Crossing Dataset and Model; REF-SHARP: Reconstructed faces and body geometry of individuals wearing loose garments; employing a stereo light field camera to estimate depth; Crowd Counting with Binary Supervision, Learning from Multiple Datasets for Recognizing Human Actions, and Other Dense or Sparse Problems

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