We were able to witness yet another enthusiastic batch of students attending the Student Orientation program at CVIT. UGGDD and Honours students were given a warm welcome by Dr.Jawahar, who conducted the Introductory orientation program and familiarized the students with expectations from them. During his talk, he mentioned how CVIT has been cohesively and collaboratively conducting research over the years. Dr.Vineet and Dr.Sudipta briefly introduced themselves and shared their stories about how they came about joining CVIT.

The Center for Visual Information Technology(CVIT), from the International Institute of Information Technology, Hyderabad(IIITH), hosted a One-week 3D Vision Summer School from May 22, 2022-May 28,2022 at the Kohli Center for Intelligent Systems, IIITH. Dr. Avinash Sharma, Dr. Ravi Kiran and Dr. Charu Sharma conducted the event, supported by student volunteers, to provide insight on 3D Vision along with daily hands-on experience for the participants.

Detecting no-helmet and triple riding violations from mobile camera video ,
Aman Goyal, Dev Agarwal, Anbumani Subramanian, C.V. Jawahar, Ravi Kiran Sarvadevabhatla, Rohit Saluja

In many Asian countries with unconstrained road traffic conditions, driving violations such as not wearing helmets and triple-riding are the main cause of a large number of motorcycle accidents. Often static cameras are not available on all the streets and it is not economically viable. Many inside roads and crowded streets are far from reach of these cameras.

Egocentric 4D Perception(Ego4D) is a Facebook Artificial Intelligence(AI) Research project dedicated to creating a dataset of egocentric or first-person videos. The purpose is to understand how people interact in society and use objects with the intention of application in AI. It is the largest dataset in the world that captures daily-life activities around the globe from a first person’s point of view. Facebook AI collaborated with 13 universities around the world that collected over 3600 hours of unscripted, in the wild videos from 9 countries using a variety of head-mounted cameras.