The Indian Institute of Technology Gandhinagar will host the 13th edition of the International Conference on Computer Vision, Graphics and Image Processing (ICVGIP) The inaugural international conference is being organized in association with the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI) The conference will feature students, faculty, and industry experts from India and abroad .
From December 08 to December 10, the Indian Institute of Technology (IIT) Gandhinagar will host the 13th edition of the International Conference on Computer Vision, Graphics and Image Processing (ICVGIP).The inaugural international conference is being organized in association with the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), an affiliate of the International Association for Pattern Recognition (IAPR), to develop the community of researchers and enthusiasts in these fields.More than 300 delegates will attend the conference, which will feature students, faculty, and industry experts from India and abroad, who will address cutting-edge topics such as Computer Vision, Graphics, and Image Processing.You can read more about IIT Gandhinagar's Pre-Event of India Internet Governance Forum 2022, which emphasizes the importance of multilingual computers.
During the discussions, participants will be able to hear some of the industry experts address Enabling the Metaverse with Qualcomm; the Snapdragon 8 Gen 2 Mobile Platform; Under Display Camera: A New Technology; Image and Video Editing by Manipulating Intermediate Representations; and Compute Vision Sensing in Field Safety and Defect Tracking Applications.Also read: IIT Gandhinagar Receives a 5-star FSSAI rating from the Eat Right Campus Award In addition, there will be lecture sessions on the topics: Physics-based Rendering in the Service of Computational Imaging; Developing and Optimizing Computational Imaging Systems with End-to-End Learning.There will be oral and spotlight sessions, a doctoral symposium, and Vision India on topics such as Advanced Surgical Assistance Systems for Smart Health Care; Deep Neural Networks with Limited Attention; An Automated System for the Assessment of Interview Performance by Audio and Emotion Cues; A Dataset and Model for Crossing Indian Roads; REF-SHARP: Crowd Counting with Binary Inspection; Learning from Multiple Datasets for Detection Human Activities, and so on.