At the Signal and
Multimedia Processing Lab (SiMPL), IIT
Kanpur, we combine theories, techniques and methodologies from signal
processing, computer vision and machine learning to build human-centric
technology. We are interested in both the fundamental and applied
signal and information processing, analysis and interpretation. Our
often draws inspiration from multiple domains, such as, engineering,
science and psychology. We believe in developing technology that can
personal experience, generate insights and impact our society in
SiMPL has an open environment that promotes collaboration, critical
and new ideas. If you are interested in joining us, please contact Tanaya.
2018] : Our paper titled “Multichannel attention network for
analyzing visual behavior in public speaking” is accepted in WACV
2018, Lake Tahoe. Congratulations, Rahul!
- [Aug 2017] : Ganesh
successfully defended his masters thesis. Congratulations, Ganesh!
- [Jun 2017] :
Saurabh successfully defended his masters thesis. Congratulations
- [May 2017] : Rahul,
Anurendra successfully defended their masters thesis. Congratulations!
2017] : SiMPL member
Rahul Sharma wins the Candence gold medal for the best Masters thesis
in IIT Kanpur. His work can be found
2017] : Tanaya has been Invited for a talk
at IIT Gandhinagar.
2017] : Tanaya is serving
as a Senior PC member for Int. Conf. on
Affective Computing and
Intelligent Interaction (ACII 2017), San Antonio. Consider
your work related to emotion and behavior to this prestigious venue.
2016] : Our paper
titled "On the role of head motion in
affective expression" accepted in ICASSP 2017, New Orleans.
2016] : Code released
for our paper "A trajectory clustering
approach to crowd flow segmentation in videos", ICIP 2016,
2016] : NVIDIA
Corporation has donated a TitanX to support SiMPL research Lab. Thanks
NVIDIA’s academic GPU grant
2016] : Tanaya has been Invited for a talk
at TCS Innovation Lab Kolkata.
2016] : Tanaya
has been Invited for a talk at IISc Bangalore on 14th Jun.
2016]: Paper on A
trajectory clustering approach to crowd flow segmentation in videos
accepted for publication in ICIP 2016. Congratulations Rahul.