Karan Sikka
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Emotion recognition in the wild challenge 2014: Baseline, data and protocol
A Dhall, R Goecke, J Joshi, K Sikka, T Gedeon
Proceedings of the 16th international conference on multimodal interaction …, 2014
A fully automated algorithm under modified FCM framework for improved brain MR image segmentation
K Sikka, N Sinha, PK Singh, AK Mishra
Magnetic Resonance Imaging 27 (7), 994-1004, 2009
Adascan: Adaptive scan pooling in deep convolutional neural networks for human action recognition in videos
A Kar, N Rai, K Sikka, G Sharma
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Exploring bag of words architectures in the facial expression domain
K Sikka, T Wu, J Susskind, M Bartlett
European Conference on Computer Vision, 250-259, 2012
Zero-shot object detection
A Bansal, K Sikka, G Sharma, R Chellappa, A Divakaran
Proceedings of the European Conference on Computer Vision (ECCV), 384-400, 2018
Automated assessment of children’s postoperative pain using computer vision
K Sikka, AA Ahmed, D Diaz, MS Goodwin, KD Craig, MS Bartlett, ...
Pediatrics 136 (1), e124-e131, 2015
Multiple kernel learning for emotion recognition in the wild
K Sikka, K Dykstra, S Sathyanarayana, G Littlewort, M Bartlett
Proceedings of the 15th ACM on International conference on multimodal …, 2013
Weakly supervised pain localization using multiple instance learning
K Sikka, A Dhall, M Bartlett
2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013
The more the merrier: Analysing the affect of a group of people in images
A Dhall, J Joshi, K Sikka, R Goecke, N Sebe
2015 11th IEEE international conference and workshops on automatic face and …, 2015
Lomo: Latent ordinal model for facial analysis in videos
K Sikka, G Sharma, M Bartlett
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Classification and weakly supervised pain localization using multiple segment representation
K Sikka, A Dhall, MS Bartlett
Image and vision computing 32 (10), 659-670, 2014
An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification
HJ Xing, BG Hu
Neurocomputing 71 (4-6), 1008-1021, 2008
Deep Q-learning for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning.
M Malmir, K Sikka, D Forster, JR Movellan, G Cottrell
BMVC, 161.1-161.11, 2015
Exemplar hidden markov models for classification of facial expressions in videos
K Sikka, A Dhall, M Bartlett
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Deep active object recognition by joint label and action prediction
M Malmir, K Sikka, D Forster, I Fasel, JR Movellan, GW Cottrell
Computer Vision and Image Understanding 156, 128-137, 2017
Joint Clustering and Classification for Multiple Instance Learning
K Sikka, R Giri, M Bartlett
British Machine Vision Conference, 71.1-71.12, 2015
Align2ground: Weakly supervised phrase grounding guided by image-caption alignment
S Datta, K Sikka, A Roy, K Ahuja, D Parikh, A Divakaran
Proceedings of the IEEE International Conference on Computer Vision, 2601-2610, 2019
Facial expression analysis for estimating pain in clinical settings
K Sikka
Proceedings of the 16th International Conference on Multimodal Interaction …, 2014
Integrating text and image: determining multimodal document intent in instagram posts
J Kruk, J Lubin, K Sikka, X Lin, D Jurafsky, A Divakaran
arXiv preprint arXiv:1904.09073, 2019
Understanding visual ads by aligning symbols and objects using co-attention
K Ahuja, K Sikka, A Roy, A Divakaran
arXiv preprint arXiv:1807.01448, 2018
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