I am currently a PhD candidate working under the supervision of Dr. Margrit Betke and Dr. Stan Sclaroff with the Image and Video Computing research group at Boston University's Department of Computer Science. I attained a Master of Science degree in Computer Science from Boston University in 2014, and a Bachelor of Arts degree from Connecticut College in 2012 where I majored in Computer Science and Architectural Studies and completed a certificate program in Arts and Technology. I have had the opportunity to intern at Disney Research (Summer 2015) and Adobe Creative Technologies Lab (Summer 2016).
My broad research interests lie in the intersectional and interdisciplinary fields of computer vision, machine learning, and human computer interaction. Particularly, I am interested in the analysis of spatio-temporal human signals, generated for instance by eye-gaze, facial expressions and body gestures, in order to facilitate a computational understanding of various aspects of human behavior as well as enable intelligent interaction with the computer. In my spare time, I do freelance work in art and photography. Some of my work can be seen at ajjenjoshi.com.
EyeSwipe: Towards Fast and Comfortable Text Entry Using Gaze Paths
Andrew Kurauchi, Wenxin Feng, Ajjen Joshi, Carlos Morimoto, Margrit Betkes
Enabling Early Gesture Recognition by Motion Augmentation
Rohit Agrawal, Ajjen Joshi, Margrit Betke
ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA), 2018. To Appear.
Context-Sensitive Prediction of Facial Expressivity Using Multimodal Hierarchical Bayesian Neural Networks
Ajjen Joshi, Soumya Ghosh, Sarah Gunnery, Linda Tickle-Degnen, Margrit Betke, Stan Sclaroff
IEEE International Conference on Automatic Face and Gesture Recognition (AFGR), 2018. To Appear.
ExerciseCheck: Remote Monitoring and Evaluation Platform for Home Based Physical Therapy
Elham Saraee, Saurabh Singh, Kathryn Hendron, Mingxin Zheng, Ajjen Joshi, Terry Ellis, Margrit Betke
ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA), 2017. Oral.
Predicting Active Facial Expressivity in People with Parkinson's Disease
Ajjen Joshi, Linda Tickle-Degnen, Sarah Gunnery, Terry Ellis, Margrit Betke
ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA), 2016. Oral.
Comparing Random Forest Approaches To Segmenting And Classifying Gestures
Ajjen Joshi, Camille Monnier, Margrit Betke, Stan Sclaroff
Elsevier Image and Vision Computing (IMAVIS), 2016.
Developing a Tool for Dance Motion Synthesis
Ajjen Joshi, Bridget Baird, Ozgur Izmirli
Connecticut College Biennial Symposium on Arts and Technology (SAT), 2012. Oral.
Autonomous Driving (2017)
A collection of projects in the the self-driving car stack.
A collection of Processing sketches that generates art from code.
A Data-driven Approach to Automatic Inbetweening in Handdrawn Animation (2016)
Built a prototype deep learning system to generate inbetween frames in handdrawn animations during an internship at Adobe research.
Victory Over the Sun (2015)
Created projections for a rendition of the futurist opera: Victory Over the Sun. Wrote scripts creating generative animations and used the Kinect to record and animate dancers.
Key Eye (2015)
A prototype of a hands-free eye typing system (created by a 2-person team). Designed for people with motor impairments, users typed words using their eyegaze with a wearable eye-tracker.
"Goes in the pantheon of great CS TAs I've had here at BU." -CS440 student, Spring 2017
"Ajjen was the best teaching fellow I have had at BU thus far. He is very knowledgeable in all things computer vision and was helpful when explaining topics." -CS585 student, Fall 2014
"Ajjen is extremely qualified for this position and he clearly demonstrated it by helping students outside of class with projects he is not familiar with. He is extremely helpful and definitely deserves a good recommendation." -CS108 student, Fall 2013