An article in the magazine NewScientist covering ‘Automatic Depression Analysis’ research from various groups around the world (feat. my work). [NewScientist] [28 Mar, 2013]
Some media attention to our Depression project (feat. Dr. Roland Goecke). [SMH] [27 Feb, 2013]
Girl Geek Coffees (GGC) at University of Canberra story. [GGC@UC] [13 July, 2012]
PROJECTS
Multimodal Approach for Depression Analysis – The objective is to devise a novel multimodal framework for depression detection by integrating information from single-modal channels. The project explore facial dynamics analysis, head movements, upper body gestures, EEG measures and speech characteristics related to affect, in patients with major depressive disorders.
Group Expression Analysis – This project explores the scene emotion based on modelling the social features of a scene. Further group expression method is used to solve the problem of candid shot selection and event summarization based on emotion.
Pose Estimation & Self Occlusion Detection in Human Body – The objective of this project is to detect self occluded parts in human body and rectify the pictorial structure and hence improve pose estimation.
Sports Player Tracking – This project investigate applicability of Active Appearance Models (AAM) for tracking player’s body in video sequences captured using low resolution camera.
The More the Merrier: Analysing the Affect of a Group of People In Images [PDF]
Abhinav Dhall, Jyoti Joshi, Karan Sikka, Roland Goecke and Nicu Sebe, IEEE InternationalConfernce onAutomated Faces & Gesture Recognition (FG) 2015. (Oral)
Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol [PDF]
Abhinav Dhall, Roland Goecke, Jyoti Joshi, Karan Sikka and Tom Gedeon, ACM International Conference on Multimodal Interaction (ICMI) 2014.
Automatic Prediction of Perceived Traits using Visual Cues under Varied Situational Context [PDF]
Jyoti Joshi, Hatice Gunes, Roland Goecke, International Conference on Pattern Recognition (ICPR), 2014. (Oral)
Emotion Recognition In The Wild Challenge 2013 [PDF]
Abhinav Dhall, Roland Goecke, Jyoti Joshi, Michael Wagner, Tom Gedeon, International Conference on Multimodal Interaction (ICMI), 2013.
Diagnosis of Depression by Behavioural Signals: A Multimodal Approach [PDF]
Nick Cummins, Jyoti Joshi, Abhinav Dhall, Vidhyasaharan Sethu, Roland Goecke and Julien Epps, Audio Video Emotion Recognition Challenge (AVEC), ACM Multimedia 2013.
Relative Body Parts Movement for Automatic Depression Analysis [PDF]
Jyoti Joshi, Abhinav Dhall, Roland Goecke, Jeff Cohn, Proc. of International Conference on Affective Computing and Intelligent Interaction (ACII) 2013. (Oral)
An Automated Framework for Depression Analysis [PDF]
Jyoti Joshi, Doctoral Consortium, Proc. of International Conference on Affective Computing and Intelligent Interaction(ACII) 2013.
Multimodal Assistive Technologies for Depression Diagnosis and Monitoring [PDF]
Jyoti Joshi, Roland Goecke, Abhinav Dhall, Sharifa Alghowinem, Michael Wagner, Michael Breakspear, Julien Epps, Gordon Parker, Journal on MultiModal User Interfaces, Springer (Accepted).
Can body expressions contribute to automatic depression analysis? [PDF]
Jyoti Joshi, Roland Goecke, Michael Breakspear and Gordon Parker, IEEE InternationalConfernce onAutomated Faces & Gesture Recognition (FG) 2013. (Oral)
Finding Happiest Moments in a Social Context [PDF]
Abhinav Dhall, Jyoti Joshi, Ibrahim Radwan and Roland Goecke, Proc. of Asian Conference on Computer Vision (ACCV), 2012.
Neural-Net Classification For Spatio-Temporal Descriptor Based Depression Analysis [PDF]
Jyoti Joshi, Abhinav Dhall, Roland Goecke, Michael Breakspear and Gordon Parker, IAPR International Conference on Pattern Recognition (ICPR), 2012 (Oral).
Regression Based Pose Estimation with Automatic Occlusion Detection and Rectification [PDF]
Ibrahim Radwan, Abhinav Dhall, Jyoti Joshi and Roland Goecke, IEEE International Conference on Multimedia & Expo.(ICME), 2012 [Nominated for the best paper award] (Oral)