Tejas Indulal Dhamecha
Tejas Indulal Dhamecha
IBM Research, India
Verified email at iiitd.ac.in - Homepage
Cited by
Cited by
Computationally efficient face spoofing detection with motion magnification
S Bharadwaj, TI Dhamecha, M Vatsa, R Singh
Proceedings of the IEEE conference on computer vision and pattern …, 2013
Disguise detection and face recognition in visible and thermal spectrums
TI Dhamecha, A Nigam, R Singh, M Vatsa
2013 International Conference on Biometrics (ICB), 1-8, 2013
Recognizing Disguised Faces: Human and Machine Evaluation
TI Dhamecha, R Singh, M Vatsa, A Kumar
PloS one 9 (7), e99212, 2014
Face anti-spoofing with multifeature videolet aggregation
TA Siddiqui, S Bharadwaj, TI Dhamecha, A Agarwal, M Vatsa, R Singh, ...
2016 23rd International Conference on Pattern Recognition (ICPR), 1035-1040, 2016
On matching latent to latent fingerprints
A Sankaran, TI Dhamecha, M Vatsa, R Singh
2011 international joint conference on biometrics (IJCB), 1-6, 2011
On effectiveness of histogram of oriented gradient features for visible to near infrared face matching
TI Dhamecha, P Sharma, R Singh, M Vatsa
2014 22nd International Conference on Pattern Recognition, 1788-1793, 2014
Face anti-spoofing via motion magnification and multifeature videolet aggregation
S Bharadwaj, TI Dhamecha, M Vatsa, R Singh
IIITD-TR-2014-002, 1-14, 2014
Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both
S Saha, TI Dhamecha, S Marvaniya, R Sindhgatta, B Sengupta
International Conference on Artificial Intelligence in Education, 503-517, 2018
Improving Short Answer Grading Using Transformer-Based Pre-training
C Sung, TI Dhamecha, N Mukhi
International Conference on Artificial Intelligence in Education, 469-481, 2019
On incremental semi-supervised discriminant analysis
TI Dhamecha, R Singh, M Vatsa
Pattern Recognition 52, 135-147, 2016
On Frame Selection for Video Face Recognition
TI Dhamecha, G Goswami, R Singh, M Vatsa
Advances in Face Detection and Facial Image Analysis, 279-297, 2016
Is gender classification across ethnicity feasible using discriminant functions?
TI Dhamecha, A Sankaran, R Singh, M Vatsa
2011 International Joint Conference on Biometrics (IJCB), 1-7, 2011
Preliminary Evaluations of a Dialogue-Based Digital Tutor
M Ventura, M Chang, P Foltz, N Mukhi, J Yarbro, AP Salverda, J Behrens, ...
International Conference on Artificial Intelligence in Education, 480-483, 2018
Feature and keypoint selection for visible to near-infrared face matching
S Ghosh, TI Dhamecha, R Keshari, R Singh, M Vatsa
2015 IEEE 7th International Conference on Biometrics Theory, Applications …, 2015
Between-subclass piece-wise linear solutions in large scale kernel SVM learning
TI Dhamecha, A Noore, R Singh, M Vatsa
Pattern Recognition 95, 173-190, 2019
Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading
S Marvaniya, S Saha, TI Dhamecha, P Foltz, R Sindhgatta, B Sengupta
Proceedings of the 27th ACM International Conference on Information and …, 2018
Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors
TI Dhamecha, S Marvaniya, S Saha, R Sindhgatta, B Sengupta
International Conference on Artificial Intelligence in Education, 70-85, 2018
Pre-Training BERT on Domain Resources for Short Answer Grading
C Sung, T Dhamecha, S Saha, T Ma, V Reddy, R Arora
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Inferring Frequently Asked Questions from Student Question Answering Forums.
R Sindhgatta, S Marvaniya, TI Dhamecha, B Sengupta
Educational Data Mining, 2017
Incremental subclass discriminant analysis: a case study in face recognition
H Lamba, TI Dhamecha, M Vatsa, R Singh
2012 19th IEEE International Conference on Image Processing, 593-596, 2012
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