Talks & Seminars
Title: Human Sensing: the Past, Present and the Future
Dr. Arjun Jain, Perceptive Code LLC
Date & Time: November 1, 2018 14:00
Venue: Department of Computer Science and Engineering, F. C. Kohli Auditorium, 01st Floor, Kanwal Rekhi (KReSIT) Building
This talk will focus on deep learning based algorithms for the problem of unconstrained, articulated pose estimation of humans, which constitutes inferring the positions of joints, such as neck, elbow, wrist etc, from still images and videos. Surveillance, graphics, and human computer interface are some of the applications of this body of work. I will present an overview of my prior work focused towards this problem in the last decade. This will include the algorithms used in the pre-deep learning era, followed by deep learning based algorithms that can exploit richer geometric and structural constraints and relationships between body joint locations for close to human performance in-the-wild settings. Exploring and exploiting the aforementioned pose semantics has formed the major body of my work on human pose estimation. Finally, I will talk about my current research direction in which I am working towards semi-supervised and unsupervised learning to tackle large dataset challenge of deep-learning based methods.
Speaker Profile:
Arjun is the co-founder of Perceptive Code LLC, a Silicon Valley AI startup that builds intelligence into automobiles using Deep Learning. Prior to this, he was a researcher with a special project team at Apple in Cupertino. He was a post-doctoral researcher at the Computer Science department at New York University's Courant Institute and received his Ph.D. in Computer Science from the Max-Planck Institute for Informatics in Germany. Broadly, his research lies at the interface of computer graphics, computer vision, and machine learning, with a focus on human pose estimation and data-driven artistic content creation tools. Arjun has worked as a developer for several companies, including Yahoo! in Bangalore and Weta Digital in New Zealand. He has been especially active in the visual effects industry. Arjun served as a developer for Weta Digital’s motion capture system. This system has been used in many feature films, and Arjun was credited for his work in Steven Spielberg’s, The Adventures of Tintin. Arjun’s work has resulted in several academic publications, a patent, and has been featured by mainstream media, including in the magazines: New Scientist, Discovery, BCC, Vogue, Wired, India Today, and The Hollywood Reporter, among other outlets.
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