Open Positions: 1 Ph.D. student and 2 Postdocs in the area of Computer Vision and Deep Learning at INRIA Sophia Antipolis, France
------------------------------ ------------------------------ ------------------------------ ------------------------------ ------------------------------ ----------------------
Positions are offered within the frameworks of the prestigious grants
- ANR JCJC Grant *ENVISION*: "Computer Vision for Automated Holistic Analysis for Humans" and the
- INRIA - CAS grant *FER4HM* "Facial expression recognition with application in health monitoring"
and are ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe.
Full announcements:
- Open Ph.D.-Position in Computer Vision / Deep Learning (M/F) *ENVISION*: http://antitza.com/ANR_phd.pdf
- Open Post Doc - Position in Computer Vision / Deep Learning (M/F) *FER4HM*: http://antitza.com/INRIA_CAS_p ostdoc.pdf
- Open Post Doc - Position in Computer Vision / Deep Learning (M/F) (advanced level) *ENVISION*: http://antitza.com/ANR_postdoc .pdf
To apply, please email a full application to Antitza Dantcheva ( antitza.dantcheva(a)inria.fr ), indicating the position in the e-mail subject line.
Dear Colleagues,
The Brain and Cognitive Science Section of the Canadian Psychological Association is inviting abstract submissions for a symposium on underlying mechanisms, issues, and potential solutions in the field of face processing and person recognition, as part of the International Congress of Applied Psychology in Montreal, Quebec, June 26-30, 2018. This congress is a collaboration between the International Association of Applied Psychology and the Canadian Psychological Association. Information about the congress can be found here: http://www.icap2018.com/
Each abstract is limited to 250 words, in addition to short descriptions (limited to 50 words) for each of the following sections: Background (Rationale for study/studies), Methods (the general method of the study/studies), Results, Action/Impact (i.e., recommendations from results), and Conclusions.
Abstracts should be emailed directly to Adam Sandford (adam.sandford(a)guelphhumber.ca). We hope to receive abstracts before Monday November 27th. Speakers in the symposium will be provided $500 (Canadian) to offset costs associated with participating in the symposium.
Feel free to contact Adam Sandford if you have any questions.
With sincere thanks,
-Adam Sandford, Ph.D
--
Adam Sandford, Ph.D, OCT.
Assistant Program Head, Psychology
University of Guelph-Humber
Adjunct Professor, Psychology
University of Guelph
207 Humber College Blvd; GH 408F
Toronto, ON. M9W 5L7
P: 416-798-1331, ext. 6088<tel:416-798-1331%2C%20ext.%206088>
E: adam.sandford(a)guelphhumber.ca<mailto:adam.sandford@guelphhumber.ca>
Chair-Elect, Brain and Cognitive Sciences (BCS) Section of the Canadian Psychological Association (CPA) (http://www.cpa.ca/aboutcpa/cpasections/brainandcognitivescience/)
BCS Section Liaison between CPA and International Association of Applied Psychology (IAAP) - IAAP meeting in Montreal June 26-30 with CPA (http://www.icap2018.com/content/official-icap-2018-website). Find more information about IAAP here (http://iaapsy.org/)
Member, Canadian Society for Brain, Behaviour, and Cognitive Science (CSBBCS) - joint CSBBCS and Experimental Psychology Society (EPS) meeting in St. John's, NL July 4-8 (https://csbbcs.org/ocs/index.php/2018/csbbcs2018). Find more information about EPS here (http://eps.ac.uk/)
CALL FOR PAPERS: 8th Int. Workshop on Human Behavior Understanding
(HBU) in conjunction with 2nd Int. Workshop on Automatic Face
Analytics for Human Behavior Understanding (FaceHUB) at IEEE Face &
Gesture 2018 - Xi'An, 15-19 May 2018
https://www.cmpe.boun.edu.tr/hbu/2018/
Workshop Description
With development of computer vision and sensor technology, it becomes
possible to analyze human behavior via various ways at different
time-scales and at different levels of interaction and interpretation.
Understanding human behavior automatically opens up enormous
possibilities for human-computer interaction, with a potential of
endowing the computers with a capacity to attribute meaning to users'
attitudes, preferences, personality, social relationships, etc., as
well as to understand what people are doing, the activities they have
been engaged in, and their routines.
This workshop aims to inspect developments in selected areas where
smarter computers that can sense human behavior have great potential
to revolutionize the application domain. We ultimately seek to
re-define the relationship between the computer and the interacting
human, moving the computer from a passive observer role to a socially
active participant role and enabling it to drive different kinds of
interaction.
The 8th Int. Workshop on Human Behavior Understanding (HBU) and 2nd
Int. Workshop on Automatic Face Analytics for Human Behavior
Understanding (FaceHUB) are jointly organized at IEEE FG as a
single-track, one day event, to gather researchers on behavior
analysis and analytics. It will have two specific focus sessions
dealing with "face analytics" and "behavior analysis for smart cars".
Session 1 "Face analytics": There is strong evidence that face
analytic for human behavior understanding could also be highly
beneficial in human computer interaction. Application scenarios
include analyzing emotions while the person is watching emotional
movies or advertisements, playing video games, driving a car, is under
health monitoring or crime investigation, or is participating in
interactive tutoring. Furthermore, long-term continuous monitoring and
analysis of expressions provides important information for assessing
personality but also provide cues of psychological disorders.
Session 2 "Behavior analysis for smart cars": The computational
capabilities of cars are rapidly increasing. While a lot of attention
is directed towards what goes on outside the car, and to autonomous
driving systems, the inside of the car is very interesting too. In the
transition period from human-driven cars to fully autonomous cars,
there is great interest in improved driver assistance, safety, and
comfort systems. When the fully autonomous car is realized, there will
still be a need for looking inside the car, for better car-customer
interaction.
This workshop will solicit human behavior analysis solutions that
clearly advance the field, and also to propose novel application
scenarios. The covered topics may span items from the following
topics, including the focus theme challenges:
Session 1: Face analytics
*************************
-Automatic deception detection
-Deep learning models for facial analysis
-Face alignment and fiducial point detection
-Continuous and dynamic facial behavior analysis
-Emotion recognition in the wild
-Temporal models for face analysis
-Facial action unit detection and recognition
-Group emotion analysis
-Long-term behaviors and interaction
-Micro-expression detection, recognition and understanding
-Spontaneous affect databases: collection and annotation
-Cross-domain facial expression recognition
-Spontaneous facial expression analysis
-Multimodal emotion recognition
Session 2: Behavior analysis for smart cars
*******************************************
-Advanced driver assistance systems, assisting elderly drivers
-Behavior analysis for car safety
-Car driving simulation analysis
-Driver identification and biometrics
-Driver's face monitoring, drowsiness and fatigue detection
-Head pose and attention tracking
-Human factors and driver personalization
-Human-car interaction
-In-car social signals: aggression, frustration, boredom
-Multimodal interactive systems in cars
-Posture assessment and comfort analysis
Human Behavior Analysis Systems
*******************************
-Action and activity recognition
-Single and multimodal affect analysis
-Gaze, attention and saliency
-Gestures and haptic interaction
-Learning and adaptation
-Social signal processing
-Voice and speech analysis
Theory and Methodology of Human Interactive Behaviors
*****************************************************
-Data collection, annotation, and benchmarking
-Interaction design
-Theoretical frameworks of behavior analysis
-User studies and human factors
Submission
Submission site is open, and accessible at:
https://easychair.org/conferences/?conf=hbu2018
Each paper will be reviewed by at least two members of the scientific
Program Committee, in double-blind fashion. The submitted papers
should present original work, not currently under review elsewhere and
should have no substantial overlap with already published work.
Submissions should be submitted in PDF and should be no more than 8
pages in IEEE FG 2018 paper format. Accepted papers will be included
in the Proceedings of IEEE FG 2018 and Workshops and will be sent for
inclusion into the IEEE Xplore digital library.
Dates
28 January, Submission deadline
20 February, Notification of acceptance
1 March, Camera ready submission
15 May, Tentative workshop date
Special Issues
Two journal special issues are planned from the two focus tracks of
the HBU Workshop. One issue on `behavior analysis for smart cars` will
be edited as a thematic issue of Journal of Ambient Intelligence and
Smart Environments. A second issue on `face analytics` is planned.
Authors will be invited to submit suitably extended versions of their
papers to these special issues.
People
Program Committee
Tadas Baltrušaitis, Microsoft Corporation, UK
Wei Chen, China University of Mining and Technology, CN
Adrian Davison, University of Manchester, UK
Hamdi Dibeklioğlu, Bilkent University, TR
Jordi Gonzàlez, CVC Barcelona, ES
Jürgen Gall, Univ. of Bonn, DE
Heikki Huttunen, Tampere University of Technology, FI
Peng Liu, Aware, US
Marwa Mahmoud, Univ. of Cambridge, UK
Matei Mancas, Univ. of Mons, BE
Javier J. Sanchez Medina, CVC-UAB, ES
Teruhisa Misu, Honda Research Institute, US
Wenxuan Mou, Queen Mary University of London, UK
Eshed Ohn-Bar, Carnegie Mellon University, US
Shogo Okada, JAIST, JP
Yannis Panagakis, Imperial College London, UK
Senya Polikovsky, Max Planck Institute for Intelligent Systems, JP
Nicu Sebe, University of Trento, IT
Caifeng Shan, Philips Research, NL
Karan Sikka, Stanford Research Institute, US
Xiaoyang Tan, Nanjing University of Aeronautics and Astronautics, CN
Yan Tong, University of South Carolina, US
Fernando De la Torre, Facebook, US
Mohan M. Trivedi, University of California San Diego, US
Ruiping Wang, Chinese Academy of Sciences, CN
Sujing Wang, Chinese Academy of Sciences, CN
Jacob Whitehill, Worcester Polytechnic Institute, US
Lijun Yin, University of Binghamton, US
Zeynep Yücel, Okayama University, JP
Organizers
Carlos Busso, Univ. of Texas at Dallas
Xiaohua Huang, Univ. of Oulu (contact for session 1)
Takatsugu Hirayama, Nagoya Univ.
Guoying Zhao, Univ. of Oulu & Northwest Univ. of China
Albert Ali Salah, Boğaziçi Univ. & Nagoya Univ. (contact for session 2)
Matti Pietikäinen, Univ. of Oulu
Roberto Vezzani, Univ. of Modena and Reggio Emilia
Wenming Zheng, Southeast Univ.
Abhinav Dhall, Indian Institute of Technology, Ropar
--
Dr. Albert Ali Salah
http://www.cmpe.boun.edu.tr/~salah/
Nagoya University,
Future Value Creation Research Center (FV-CRC), Graduate School Informatics
Bogazici University,
Computer Engineering Dept. & Cognitive Science MA Program
http://www.cogsci.boun.edu.tr
[apologies if you received multiple copies]
----------------------------------------------------------------------------
---------
Call for papers
First Workshop on Large scale Emotion Recognition (LERA),
IEEE Automatic Faces & Gesture Recognition 2018, Xi’an, China.
https://sites.google.com/view/lera2018
----------------------------------------------------------------------------
---------
With the advancement in social computing, multimedia, and sensing
technology, the amount of emotionally relevant data has grown enormously.
It becomes crucial for the affective computing community to develop new
methods for understanding emotion conveyed by the media and the emotion
felt by the user at a large scale. This workshop invites researchers to
submit their original work proposing methods to create data and new
methodologies for large-scale analysis. Much development has been observed
in the computer vision community after large-scale databases such as the
ImageNet and MS COCO have been released. The first LERA workshop at FG'18
aims to transfer current research focus on small-scale, lab based
environment to real-world, large-scale corpus.
Topics for the workshop include but are not limited to:
1. Large scale data collection and annotation
2. Large scale emotion recognition in the wild
3. Big data approaches for emotion recognition
4. Face tracking and affect analysis in videos
5. Group-level emotion recognition
6. Fusion techniques for audio-visual/physiological signals
7. Localization & identification of salient affect signals
8. Applications in education, entertainment & healthcare
Timeline:
Paper submission deadline: 9th January 2018
Paper acceptance notification: 7th February 2018
Camera ready deadline: 15th February 2018
Organizers:
Abhinav Dhall, Indian Institute of Technology, Ropar
Yelin Kim, State University of New York, Albany
Qiang Ji, Rensselaer Polytechnic Institute
--
Abhinav Dhall, PhD
Assistant Professor,
Indian Institute of Technology, Ropar
Webpage: https://goo.gl/5LrRB7
Google Scholar: https://goo.gl/iDwNTx
PhD student openings are available in the lab of Dr. Charles Or (http://research.ntu.edu.sg/expertise/academicprofile/Pages/StaffProfile.asp…) at Nanyang Technological University (NTU), Singapore to perform original research in the areas of face perception, visual motion perception, and form perception. Our work focuses on understanding (1) the human brain’s rapid and holistic nature of face detection, categorization, and recognition, and (2) the neural interaction of visual motion and form information in pattern and object recognition. We use a combination of approaches including psychophysics, eye tracking, EEG, and computational modelling.
The lab is housed in the Psychology Division of the School of Social Sciences, with a rapidly expanding group of researchers interested in experimental psychology and cognitive neuroscience. We are also part of the multidisciplinary Cognition and Neuroscience research cluster and Neuroscience, society, and governance research cluster. We have access to state-of-the-art facilities for psychophysics, eye tracking, EEG, MEG, fMRI, fNIRS, TMS, and tDCS.
Applicants should have a Bachelor’s or Master’s degree in cognitive science, experimental psychology, cognitive neuroscience, computer science, or related fields. The ideal candidate should be driven by scientific curiosity and self-motivated, with awareness of relevant literature, an excellent command in written and spoken English, and a strong background in statistical data analysis (e.g., SPSS, R). Aptitudes and interests in mathematics and computer programming (e.g. MATLAB, Python) are preferred.
NTU is a young and research-intensive university ranking consistently amongst the top 10 in Asia and the 1st amongst young universities under 50. It has been ranked consistently and progressively under the top 100 universities in the world by the Times Higher Education since 2013, leaping its ranking into 52nd in 2017/2018. Singapore is a fascinating, dynamic multi-cultural city in Southeast Asia with a large expat community, and a great hub for exploring neighbouring travel destinations.
PhD Scholarships are available through the university and outside sources for Singaporeans (including permanent residents), as well as overseas applicants (http://admissions.ntu.edu.sg/graduate/scholarships/Pages/default.aspx). Applicants should apply through the university admission website (http://admissions.ntu.edu.sg/graduate/R-Programs/R-WhenYouApply/Pages/R-How…) by 15th November (for CoHASS) for an expected start date in August 2018. Alternatively, the Interdisciplinary Graduate School also admits applications (http://igs.ntu.edu.sg/Programmes/Prospective%20Students/Pages/Programme-Hig…).
Informal inquiries may be made to Charles Or at charlesor(a)ntu.edu.sg
=======================
Charles C.-F. Or, PhD
Assistant Professor
Division of Psychology
School of Social Sciences
Nanyang Technological University
14 Nanyang Drive, Singapore 637332
________________________________
CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents.
Towards a sustainable earth: Print only when necessary. Thank you.
Dear colleagues
We are delighted to announce that we are hosting the 2018 biennial conference of the Consortium of European Research on Emotion (CERE). We welcome ALL disciplines and researchers studying emotion. If you could share the information below would be much appreciated.
Location: University of Glasgow
Dates: 4-5th April 2018
Submission deadline: 3rd December 2017
See here http://www.cere-emotionconferences.org/ for more information.
Follow @CERE_Emotion on Twitter for updates.
We look forward to receiving your submissions!
Best wishes,
Dr. Rachael E. Jack, Ph.D.
Lecturer
Institute of Neuroscience & Psychology
School of Psychology
+44 (0) 141 330 5087
[University of Glasgow: The Times Scottish University of the Year 2018]
We are seeking a postdoc and two PhD students to work in the Neural Mechanisms of Human Communication Research Group led by Katharina von Kriegstein at the TU Dresden, Germany.
Postdoc Position
The main research goal of the position is to investigate behavioural and neuroscience principles of perceptual learning and their translation to evidence-based teaching and training programmes. For more information on the position and application instructions see: http://tinyurl.com/y9396qdd
PhD positions
The main research goal of the two positions is to investigate behavioural and neuroscience principles of voice and face perception (identity and speech) in neurotypical populations as well as in populations with developmental person recognition deficits (i.e. phonagnosia and prosopagnosia). For more information on the position and application instructions see: http://tinyurl.com/ybvodeqo
The Human Communication Research Group is currently based at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig (MPI-CBS; www.cbs.mpg.de/independent-research-groups/human-communication) and will be newly established at the TU Dresden. The TU Dresden offers an excellent, interdisciplinary scientific environment. Research will be carried out at the Department of Psychology of the TU Dresden, which houses a Neuroimaging Centre (http://www.nic-tud.de). The centre is equipped with a research-only 3-Tesla MRI machine, MRI-compatible eye tracking, EEG systems, and a neurostimulation unit including neuronavigaton, TMS and tDCS devices. All experimental facilities are supported by experienced physics and IT staff. For analyses with high computational demands, there is access to the TU Dresden high-performance computing clusters. There are also strong existing collaborations with the MPI-CBS in Leipzig involving 7 Tesla-MRI, Connectome scanner, and MEG data acquisitions.
---
Prof. Dr. Katharina von Kriegstein
Max Planck Institute for Human Cognitive and Brain Sciences
Stephanstr. 1A, 04103 Leipzig, Germany
Technische Universität Dresden
Bamberger Str. 7, 01187 Dresden, Germany
Phone +49 (0) 341-9940-2476
http://www.cbs.mpg.de/independent-research-groups/human-communicationhttps://twitter.com/kvonkriegstein