Learning Affect and Semantic Image analysIs (LASII) Group


Indian Institute of Technology Ropar








- WELCOME -

Learning Affect and Semantic Image analysIs Group
Learning Affect and Semantic Image analysIs (LASII) Group is a research group led by Dr. Abhinav Dhall, Assistant Professor in the department of Computer Science and Engineering at Indian Insitute of Technology Ropar. The topics of interests are Computer Vision, Health & Wellbeing, Affective Computing, Multimedia and Machine Learning.

- RECENT UPDATES -

Date   Update
October 2018 Organizing the Second Workshop on Large Scale Emotion Recognition & Analysis at IEEE FG 2019 with Qiang Ji (RPI) and Yelin Kim (SUNY Albany).
September 2018 One paper accepted in ACCV 2018 and two in DICTA 2018.
August 2018 Abhinav presented the Technology of the Future keynote on the topic of Emotional Artifical Intelligence at Honeywell forum, Bangalore.
July 2018 Abhinav and Shreya's research covered in Times of India.
June 2018 Thanks to Nvidia for kindly supporting our research by donating a graphics card, under the Academic GPU grant program!
May 2018 Dr. Dhall received the Outstanding Reviewer Award at IEEE International Conference on Automatic Faces & Gesture Recognition 2018, Xi'an, China.
May 2018 One paper accepted at IEEE ICIP 2018.
April 2018 One paper accepted at IAPR ICPR 2018 and one at IEEE CVPR DFW challenge 2018.
March 2018 Papers accepted at IEEE Trans. on Multimedia, IEEE FG 2018 Demo and IEEE FG 2018 HoMGR challenge.
October 2017 With Prof. Albert Ali Salah, Dr. Xiaohua Huang, Prof. Carlos Busso, Prof. Takatsugu Hirayama, Prof. Guoying Zhao, Prof. Matti Pietikainen and Prof. Wenming Zhang, co-organizing the joint workshop - 8th Int. Workshop on Human Behavior Understanding (HBU) and 2nd Int. Workshop on Automatic Face Analytics for Human Behavior Understanding (FaceHUB) at IEEE FG 2018.
August 2017 Amanjot Kaur's paper accepted for publication as part of the ACII doctoral consortium 2017.
July 2017 Thanks to Nvidia for kindly supporting our research by donating a Titan XP graphics card, under the Academic GPU grant program!