Intelligent Behaviour Understanding Group (iBUG), Department of Computing, Imperial College London
180 Queen’s Gate, London SW7 2AZ
I am working in the areas of computer vision, multimodal machine learning and affective computing. I am specifically interested in making contributions to the automatic analysis of human behaviour using self-supervised deep learning methods.
I completed my Bachelors (Honours) and Masters by Research in Computer Science from IIIT Hyderabad in 2017 and 2018 respectively. I finished my thesis, “Multimodal Emotion Recognition from Advertisements with Application to Computational Advertising” advised by Dr. Ramanathan Subramanian at the Center for Visual Information Technology. I was also a visiting researcher at the SeSaMe Centre at the National University of Singapore from Sept 2017 - May 2018.
Shukla, A., Gullapuram, S. S., Katti, H., Yadati, K., Kankanhalli, M., & Subramanian, R. (2017, October). Affect recognition in ads with application to computational advertising. In Proceedings of the 25th ACM Int’l Conference on Multimedia (ACM MM) (pp. 1148-1156). (Oral, 7.5% acceptance rate)
Shukla, A., Gullapuram, S. S., Katti, H., Yadati, K., Kankanhalli, M., & Subramanian, R. (2017, November). Evaluating content-centric vs. user-centric ad affect recognition. In Proceedings of the 19th ACM International Conference on Multimodal Interaction (ICMI) (pp. 402-410).
Shukla, A., Katti, H., Kankanhalli, M., & Subramanian, R. (2018, October). Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements. In Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI) (pp. 210-219). (Oral, 15.4% acceptance rate). (data)