AMFG 2013 - The 5 th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2013)
Topics/Call fo Papers
The 5 th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2013) in conjunction with CVPR 2013
-- Towards Face and Gesture Analysis for Unconstrained Social Media
June 28, 2013
CVPR2013, Portland, Oregon, USA
Website:
http://www.northeastern.edu/smilelab/AMFG2013/home...
In the last decade, social media driven human-centered perceptual understanding tasks such as face/body detection/tracking, facial characteristic analysis (e.g., age, gender, ethnicity, and expression), face/gait based human identification, and from understanding simple hand gesture to complex human body language, activity and behavior, have attracted more and more research efforts from computational, psychological and social communities. Building tractable models has significant scientific and practical values. For example, human-computer interaction, social media analytics, video indexing, visual surveillance, and Internet vision are active application areas. To that end, researchers have made substantial progresses, especially when off-the-shelf vision products are available, e.g. Kinect. However, great challenges still remain in the social media domain, especially under unconstrained imaging conditions from diverse sources with non-cooperative users. This one-day workshop (AMFG2013) will provide a focused international forum to bring together researchers and research groups to review the status of recognition, analysis and modeling of face, gesture, and body, to discuss the challenges that we are facing, and to explore future directions particularly in the unconstrained social environments, such as social media data in the cloud, Facebook and YouTube applications. The workshop will consist of one to two invited talks together with peer-reviewed regular papers (oral and poster). Original high-quality papers are solicited on a wide range of topics including
Internet-scale soft biometrics and profiling: age, gender, ethnicity, and kinship classification by facial and/or body descriptions;
Motion analysis, tracking and extraction of face and body models from image sequences captured by single, multiple cameras, or Kinect;
Detection and recognition of face and body in real-world unconstrained environments with large 3D rotation, illumination change, partial occlusion, unknown/changing background, and aging; especially large 3D rotation robust face and gesture recognition;
Face, gait, and action recognition in low-quality (blurred for instance), low-resolution video from fixed or mobile cameras;
Novel mathematical modeling and algorithms, sensors and modalities for face & body gesture/action representation, analysis and recognition for cross-domain social media;
Dynamics and learning for facial expression, gesture, action, activity, and body behavior interpretation;
Social/Psychological studies that can assist in understanding computational modeling and building better automated face and gesture systems for interaction purposes;
Novel social applications based on robust detection, tracking and recognition of face, body and action.
Important Dates:
Submission Deadlines: March 31, 2013
Notification: April 15, 2013
Camera Ready: May 1, 2013
Organizers:
Matthew Turk, University of California, Santa Barbara, mturk-AT-cs.ucsb.edu
Xiaoou Tang, Chinese University of Hong Kong, xtang-AT-ie.cuhk.edu.hk
Kevin W. Bowyer, University of Notre Dame, kwb-AT-cse.nd.edu
Yun Raymond Fu, Northeastern University, Boston, USA, yunfu-AT-ece.neu.edu
Shuicheng Yan, National University of Singapore, Singapore, eleyans-AT-nus.edu.sg
Shaogang Gong, Queen Mary University of London, UK, sgg-AT-dcs.qmul.ac.uk
Program Committee:
Jake Aggarwal, UT Austin, USA, aggarwaljk-AT-mail.utexas.edu
Marian Bartlett, UCSD, USA, marni-AT-salk.edu
Peter Belhumeur, Columbian, USA, belhumeur-AT-cs.columbia.edu
Aaron Bobick, GaTech, USA, afb-AT-cc.gatech.edu
Richard Bowden, Surrey, UK, r.bowden-AT-surrey.ac.uk
Kevin Bowyer, Notre Dame, USA, kwb-AT-cse.nd.edu
Rama Chellappa, Maryland, USA, rama-AT-umiacs.umd.edu
Robert Collins, Penn State, USA, rcollins-AT-cse.psu.edu
Fernando de la Torre, CMU, USA, ftorre-AT-cs.cmu.edu
David Hogg, Leeds, UK, d.c.hogg-AT-leeds.ac.uk
David Jacobs, Maryland, USA, djacobs-AT-cs.umd.edu
Mike Jones, MERL, USA, mjones-AT-merl.com
Ron Kimmel, Technion, Israel, ron-AT-cs.technion.ac.il
Josef Kittler, Surrey, UK, j.kittler-AT-surrey.ac.uk
Kenneth Lam, Poly U, HK, enkmlam-AT-polyu.edu.hk
Seong-Whan Lee, Korea, swlee-AT-image.korea.ac.kr
Chengjun Liu, NJIT, USA, chengjun.liu-AT-njit.edu
Xiaoming Liu, GE, USA, liuxm-AT-cse.msu.edu
Aleix Martinez, Ohio State, USA, aleix-AT-ece.osu.edu
Vittorio Murino, University of Verona and IIT, Italy, vittorio.murino-AT-univr.it
Alice O'Toole, UT Dalles, USA, otoole-AT-utdallas.edu
Ioannis Patras, QMUL, UK, I.Patras-AT-eecs.qmul.ac.uk
Matti Pietikainen, Oulu, Finland, mkp-AT-ee.oulu.fi
Marios Savvides, CMU, USA, Marios.Savvides-AT-ri.cmu.edu
Jian Sun, MSRA, China, jiansun-AT-microsoft.com
Matthew Turk, UCSB, USA, mturk-AT-cs.ucsb.edu
Luc van Gool, ETHZ, Switzerland, vangool-AT-vision.ee.ethz.ch
Harry Wechler, GMU, USA, wechsler-AT-cs.gmu.edu
Tao Xiang, QMUL, UK, txiang-AT-eecs.qmul.ac.uk
Ming-Hsuan Yang, UCM, USA, mhyang-AT-ucmerced.edu
Dmitry Kit, NU, USA, dmitry.kit-AT-gmail.com
-- Towards Face and Gesture Analysis for Unconstrained Social Media
June 28, 2013
CVPR2013, Portland, Oregon, USA
Website:
http://www.northeastern.edu/smilelab/AMFG2013/home...
In the last decade, social media driven human-centered perceptual understanding tasks such as face/body detection/tracking, facial characteristic analysis (e.g., age, gender, ethnicity, and expression), face/gait based human identification, and from understanding simple hand gesture to complex human body language, activity and behavior, have attracted more and more research efforts from computational, psychological and social communities. Building tractable models has significant scientific and practical values. For example, human-computer interaction, social media analytics, video indexing, visual surveillance, and Internet vision are active application areas. To that end, researchers have made substantial progresses, especially when off-the-shelf vision products are available, e.g. Kinect. However, great challenges still remain in the social media domain, especially under unconstrained imaging conditions from diverse sources with non-cooperative users. This one-day workshop (AMFG2013) will provide a focused international forum to bring together researchers and research groups to review the status of recognition, analysis and modeling of face, gesture, and body, to discuss the challenges that we are facing, and to explore future directions particularly in the unconstrained social environments, such as social media data in the cloud, Facebook and YouTube applications. The workshop will consist of one to two invited talks together with peer-reviewed regular papers (oral and poster). Original high-quality papers are solicited on a wide range of topics including
Internet-scale soft biometrics and profiling: age, gender, ethnicity, and kinship classification by facial and/or body descriptions;
Motion analysis, tracking and extraction of face and body models from image sequences captured by single, multiple cameras, or Kinect;
Detection and recognition of face and body in real-world unconstrained environments with large 3D rotation, illumination change, partial occlusion, unknown/changing background, and aging; especially large 3D rotation robust face and gesture recognition;
Face, gait, and action recognition in low-quality (blurred for instance), low-resolution video from fixed or mobile cameras;
Novel mathematical modeling and algorithms, sensors and modalities for face & body gesture/action representation, analysis and recognition for cross-domain social media;
Dynamics and learning for facial expression, gesture, action, activity, and body behavior interpretation;
Social/Psychological studies that can assist in understanding computational modeling and building better automated face and gesture systems for interaction purposes;
Novel social applications based on robust detection, tracking and recognition of face, body and action.
Important Dates:
Submission Deadlines: March 31, 2013
Notification: April 15, 2013
Camera Ready: May 1, 2013
Organizers:
Matthew Turk, University of California, Santa Barbara, mturk-AT-cs.ucsb.edu
Xiaoou Tang, Chinese University of Hong Kong, xtang-AT-ie.cuhk.edu.hk
Kevin W. Bowyer, University of Notre Dame, kwb-AT-cse.nd.edu
Yun Raymond Fu, Northeastern University, Boston, USA, yunfu-AT-ece.neu.edu
Shuicheng Yan, National University of Singapore, Singapore, eleyans-AT-nus.edu.sg
Shaogang Gong, Queen Mary University of London, UK, sgg-AT-dcs.qmul.ac.uk
Program Committee:
Jake Aggarwal, UT Austin, USA, aggarwaljk-AT-mail.utexas.edu
Marian Bartlett, UCSD, USA, marni-AT-salk.edu
Peter Belhumeur, Columbian, USA, belhumeur-AT-cs.columbia.edu
Aaron Bobick, GaTech, USA, afb-AT-cc.gatech.edu
Richard Bowden, Surrey, UK, r.bowden-AT-surrey.ac.uk
Kevin Bowyer, Notre Dame, USA, kwb-AT-cse.nd.edu
Rama Chellappa, Maryland, USA, rama-AT-umiacs.umd.edu
Robert Collins, Penn State, USA, rcollins-AT-cse.psu.edu
Fernando de la Torre, CMU, USA, ftorre-AT-cs.cmu.edu
David Hogg, Leeds, UK, d.c.hogg-AT-leeds.ac.uk
David Jacobs, Maryland, USA, djacobs-AT-cs.umd.edu
Mike Jones, MERL, USA, mjones-AT-merl.com
Ron Kimmel, Technion, Israel, ron-AT-cs.technion.ac.il
Josef Kittler, Surrey, UK, j.kittler-AT-surrey.ac.uk
Kenneth Lam, Poly U, HK, enkmlam-AT-polyu.edu.hk
Seong-Whan Lee, Korea, swlee-AT-image.korea.ac.kr
Chengjun Liu, NJIT, USA, chengjun.liu-AT-njit.edu
Xiaoming Liu, GE, USA, liuxm-AT-cse.msu.edu
Aleix Martinez, Ohio State, USA, aleix-AT-ece.osu.edu
Vittorio Murino, University of Verona and IIT, Italy, vittorio.murino-AT-univr.it
Alice O'Toole, UT Dalles, USA, otoole-AT-utdallas.edu
Ioannis Patras, QMUL, UK, I.Patras-AT-eecs.qmul.ac.uk
Matti Pietikainen, Oulu, Finland, mkp-AT-ee.oulu.fi
Marios Savvides, CMU, USA, Marios.Savvides-AT-ri.cmu.edu
Jian Sun, MSRA, China, jiansun-AT-microsoft.com
Matthew Turk, UCSB, USA, mturk-AT-cs.ucsb.edu
Luc van Gool, ETHZ, Switzerland, vangool-AT-vision.ee.ethz.ch
Harry Wechler, GMU, USA, wechsler-AT-cs.gmu.edu
Tao Xiang, QMUL, UK, txiang-AT-eecs.qmul.ac.uk
Ming-Hsuan Yang, UCM, USA, mhyang-AT-ucmerced.edu
Dmitry Kit, NU, USA, dmitry.kit-AT-gmail.com
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Last modified: 2013-03-05 07:24:13