A. K. Jain, S. C. Dass, and K. Nandakumar, Soft Biometric Traits for Personal Recognition Systems, Proc. of ICBA, 2004.
DOI : 10.1007/978-3-540-25948-0_99
URL : http://biometrics.cse.msu.edu/JainDassNandakumar_ICBA2004.pdf

A. Dantcheva, P. Elia, and A. Ross, What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics, IEEE Transactions on Information Forensics and Security, pp.1-26, 2015.
DOI : 10.1109/TIFS.2015.2480381
URL : https://hal.archives-ouvertes.fr/hal-01247885

M. S. Nixon, P. L. Correia, K. Nasrollahi, T. B. Moeslund, A. Hadid et al., On soft biometrics, Pattern Recognition Letters, vol.68, pp.218-230, 2015.
DOI : 10.1016/j.patrec.2015.08.006
URL : http://vbn.aau.dk/ws/files/219488771/on_softbiometrics_preprint.pdf

A. Dantcheva and F. Bremond, Gender estimation based on smiledynamics, IEEE Transactions on Information Forensics and Security, p.2016
URL : https://hal.archives-ouvertes.fr/hal-01412408

C. Chen, A. Dantcheva, and A. Ross, Impact of facial cosmetics on automatic gender and age estimation algorithms, Proceedings of IEEE International Conference on Computer Vision Theory and Applications (VISAPP), pp.182-190, 2014.

J. Bekios-calfa, J. M. Buenaposada, and L. Baumela, Robust gender recognition by exploiting facial attributes dependencies, Pattern Recognition Letters, vol.36, 2013.
DOI : 10.1016/j.patrec.2013.04.028
URL : http://www.dia.fi.upm.es/~pcr/publications/prl2013.pdf

J. C. Klontz and A. K. Jain, A case study on unconstrained facial recognition using the boston marathon bombings suspects, 2013.
DOI : 10.1109/mc.2013.377

A. Dantcheva, C. Velardo, A. , and J. Dugelay, Bag of soft biometrics for person identification, Multimedia Tools and Applications, vol.25, issue.12, pp.739-777, 2011.
DOI : 10.1109/TPAMI.2003.1251144

V. Coetzee, J. Chen, D. I. Perrett, and I. D. Stephen, Deciphering Faces: Quantifiable Visual Cues to Weight, Perception, vol.136, issue.1, pp.51-61, 2010.
DOI : 10.1001/archinte.162.16.1867

D. D. Pham, J. Do, B. Ku, H. J. Lee, H. Kim et al., Body Mass Index and Facial Cues in Sasang Typology for Young and Elderly Persons, Evidence-Based Complementary and Alternative Medicine, vol.4, issue.6, 2011.
DOI : 10.1002/sim.1930
URL : http://doi.org/10.1155/2011/749209

D. Adjeroh, D. Cao, M. Piccirilli, and A. Ross, Predictability and correlation in human metrology, 2010 IEEE International Workshop on Information Forensics and Security, 2010.
DOI : 10.1109/WIFS.2010.5711470

L. Wen and G. Guo, A computational approach to body mass index prediction from face images, Image and Vision Computing, vol.31, issue.5, pp.392-400, 2013.
DOI : 10.1016/j.imavis.2013.03.001

E. A. Yates, A. K. Macpherson, and J. L. Kuk, Secular Trends in the Diagnosis and Treatment of Obesity Among US Adults in the Primary Care Setting, Obesity, vol.125, issue.4, 2012.
DOI : 10.1038/oby.2005.174

C. Velardo and J. Dugelay, Weight estimation from visual body appearance, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2010.
DOI : 10.1109/BTAS.2010.5634540

C. Velardo, J. L. Dugelay, M. Paleari, and P. Ariano, Building the space scale or how to weigh a person with no gravity, 2012 IEEE International Conference on Emerging Signal Processing Applications, 2012.
DOI : 10.1109/ESPA.2012.6152447

R. D. Labati, A. Genovese, V. Piuri, and F. Scotti, Weight estimation from frame sequences using computational intelligence techniques, 2012 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings, 2012.
DOI : 10.1109/CIMSA.2012.6269603
URL : https://air.unimi.it/bitstream/2434/197138/6/cimsa2012.pdf

R. Bloomfield, E. Steel, G. Maclennan, and D. W. Noble, Accuracy of weight and height estimation in an intensive care unit: Implications for clinical practice and research*, Critical Care Medicine, vol.34, issue.8, pp.2153-2157, 2006.
DOI : 10.1097/01.CCM.0000229145.04482.93

T. R. Coe, M. Halkes, K. Houghton, and D. Jefferson, The accuracy of visual estimation of weight and height in pre-operative supine patients, Anaesthesia, vol.54, issue.6, p.582598, 1999.
DOI : 10.1002/ajpa.1330100407

D. Morgan and K. Bray, Lean Body Mass as a Predictor of Drug Dosage, Clinical Pharmacokinetics, vol.26, issue.4, p.292307, 1994.
DOI : 10.2165/00003088-199426040-00005

P. Jolliet, C. Pichard, and R. Biolo, Enteral nutrition in intensive care patients: a practical approach, Intensive Care Medicine, vol.151, issue.8, p.848859, 1998.
DOI : 10.1164/ajrccm.151.2.7842222
URL : https://hal.archives-ouvertes.fr/inserm-00390052

D. Cockcroft and M. Gault, Prediction of Creatinine Clearance from Serum Creatinine, Nephron, vol.16, issue.1, p.3141, 1976.
DOI : 10.1159/000180580

F. Simpson and G. Doig, Parenteral vs. enteral nutrition in the critically ill patient: a meta-analysis of trials using the intention to treat principle, Intensive Care Medicine, vol.136, issue.1, p.1223, 2005.
DOI : 10.7326/0003-4819-136-3-200202050-00022

J. Vincent, R. Moreno, and J. E. Takala, The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure, Intensive Care Medicine, vol.21, issue.7, p.707710, 1996.
DOI : 10.1007/BF01726543

A. Criminisi, I. Reid, and A. Zisserman, Single view metrology, International Journal of Computer Vision, vol.40, issue.2, pp.123-148, 2000.
DOI : 10.1023/A:1026598000963

D. Carney and M. Meguid, Current Concepts in Nutritional Assessment, Archives of Surgery, vol.137, issue.1, p.4244, 2002.
DOI : 10.1001/archsurg.137.1.42
URL : http://archsurg.jamanetwork.com/data/journals/surg/5342/ssa1016.pdf

E. Bl, Dosing of medications in morbidly obese patients in the intensive care unit setting, Intensive Care Med, vol.30, p.1832, 2004.

P. Eichacker, E. Gerstenberger, and S. E. Banks, Meta-Analysis of Acute Lung Injury and Acute Respiratory Distress Syndrome Trials Testing Low Tidal Volumes, American Journal of Respiratory and Critical Care Medicine, vol.166, issue.11, p.15101514, 2002.
DOI : 10.1164/ajrccm.164.2.2011028

S. Gibson and A. Numa, The importance of metabolic rate and the folly of body surface area calculations, Anaesthesia, vol.19, issue.1, p.5055, 2003.
DOI : 10.1002/(SICI)1097-0258(19960715)15:13<1325::AID-SIM233>3.0.CO;2-K

K. Callum, N. Carr, and A. Gray, National confidential enquiry into perioperative deaths Extremes of age: the 1999 report of the National Confidential Enquiry into Perioperative Deaths: data collection period, 1997.

Z. Liu, P. Luo, X. Wang, and X. Tang, Deep Learning Face Attributes in the Wild, 2015 IEEE International Conference on Computer Vision (ICCV), pp.3730-3738, 2015.
DOI : 10.1109/ICCV.2015.425
URL : http://arxiv.org/pdf/1411.7766

K. He, Y. Fu, and X. Xue, A jointly learned deep architecture for facial attribute analysis and face detection in the wild, 2017.

M. S. Sarfraz, A. Schumann, Y. Wang, and R. Stiefelhagen, Deep viewsensitive pedestrian attribute inference in an end-to-end model, 2017.

P. Viola and M. Jones, Robust real-time face detection, Proceedings of IEEE ICCV, 2001.
DOI : 10.1109/iccv.2001.937709
URL : http://csdl.computer.org/comp/proceedings/iccv/2001/1143/02/114320747.pdf

K. He, X. Zhang, S. Ren, and J. Sun, Deep Residual Learning for Image Recognition, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.770-778, 2016.
DOI : 10.1109/CVPR.2016.90
URL : http://arxiv.org/pdf/1512.03385

Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long et al., Caffe, Proceedings of the ACM International Conference on Multimedia, MM '14, pp.675-678, 2014.
DOI : 10.1145/2647868.2654889

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh et al., ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, vol.1010, issue.1, pp.211-252, 2015.
DOI : 10.1007/978-3-642-15555-0_11
URL : http://dspace.mit.edu/bitstream/1721.1/104944/1/11263_2015_Article_816.pdf

D. Cao, C. Chen, M. Piccirilli, D. Adjeroh, T. Bourlai et al., Can facial metrology predict gender?, 2011 International Joint Conference on Biometrics (IJCB), 2011.
DOI : 10.1109/IJCB.2011.6117471
URL : http://www.cse.msu.edu/~rossarun/pubs/CaoFacialMetrology_IJCB2011.pdf