PATENTS

  • Raghu S Iyengar, Vineeth N Balasubramanian, Shuffling of Input Data for Mini-Batch Gradient Descent Based Methods, Indian Patent Application No. 201641013266 (filed in Apr 2016), US Patent Application No 15/486,787 (filed in Apr 2017).

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, On the Usefulness of the Largest Eigenvalue of the P-Value Difference Matrix in Conformal Predictors as a Measure of Discrepancy in Learning Systems, US Provisional Patent Application No 61/802,045 (patent pending).

  • S. Chakraborty, V Balasubramanian, S Panchanathan, Active Batch Selection for Training a Data Classifier with Guaranteed Performance Bounds, US Provisional Patent Application No 61/740,315 (patent pending).

  • S. Chakraborty, V Balasubramanian, S Panchanathan, Apparatus, System and Method for Adaptive Batch Mode Active Learning for Evolving a Classifier, US Patent Application No 13/484,696 (patent pending).

BOOKS

  • V. N. Balasubramanian, S-S. Ho, V. Vovk, Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications, Insights Series, Morgan Kaufmann Publ. (Elsevier), May 2014. Elsevier Store Amazon

PUBLICATIONS

2017

  • G. Mittal, T. Marwah, V. Balasubramanian, Attentive Semantic Video Generation using Captions, Proceedings of IEEE International Conference on Computer Vision (ICCV), Oct 2017 (to appear).

  • T. Marwah, G. Mittal, V. Balasubramanian, Sync-DRAW: Automatic Video Generation using Deep Recurrent Att‚entive Architectures, Proceedings of ACM International Conference on Multimedia (ACM MM), Oct 2017 (to appear).Oral Paper Acceptance Rate: 7.5%

  • D. Bhatt, D. Sodhi, A. Pal, V. Balasubramanian, M. Krishna, Have I Reached the Intersection?, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), Sep 2017 (to appear).

  • A. Ravi Sankar, V. Balasubramanian, Are Saddles Good Enough for Deep Learning, arXiv:1706.02052, Jun 2017.

2016

  • S. Pandhre, M. Gupta, V. Balasubramanian, Community-based Outlier Detection for Edge-Attributed Graphs, arXiv:1612.09435, Dec 2016.

  • B Akilesh, T. Marwah, V. Balasubramanian, K. Rajamani, On the Relevance of Very Deep Networks for Diabetic Retinopathy Diagnostics, IBM Collaborative Academia Research Exchange (I-CARE) Conference, Bangalore, Oct 2016.

  • B. B. Sau, V. Balasubramanian, Deep Model Compression: Distilling Knowledge from Noisy Teachers, arXiv:1610.09650, Oct 2016.

  • S. Manocha, A Ravi Sankar, V. Balasubramanian, Dissimilarity-based Contrastive Divergence for Anomaly Detection, 2nd Indian Workshop on Machine Learning, Kanpur, Jul 2016.

  • A Kamath, A Biswas, V. Balasubramanian, A Crowdsourced Approach to Student Engagement Recognition in e-Learning Environments, IEEE Winter Conference on Applications of Computer Vision (WACV'16), Lake Placid, NY, Mar 2016. Acceptance Rate: 34%

  • D Singh, V. Balasubramanian, C. V. Jawahar, Fine-Tuning Human Pose Estimations in Videos, IEEE Winter Conference on Applications of Computer Vision (WACV'16), Lake Placid, NY, Mar 2016. Acceptance Rate: 34%

  • A. Pal, B.K. Khonglah, S. Mandal, H. Choudhury, S.R.M. Prasanna, H.L. Rufiner, V. Balasubramanian, Online Bengali Handwritten Numerals Recognition Using Deep Autoencoders, National Conference on Communications (NCC), Mar 2016.

2015

  • A Ravi Sankar, V. Balasubramanian, Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models, 7th Asian Conference on Machine Learning (ACML), Hong Kong, 2015. Acceptance Rate: 29.1%

  • S. Chakraborty, V. Balasubramanian, Q. Sun, S. Panchanathan, J. Ye, Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds, IEEE Transactions on Pattern Analysis and Machine Intelligence, Oct 2015, 37(10), pp 1945-58. Impact Factor: 5.694

  • S. Chakraborty, V. Balasubramanian, A. Ravi Sankar, S. Panchanathan, J. Ye, BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification, In Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015, pp 99-108. Acceptance Rate: 19.5%

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Adaptive Batch Mode Active Learning, IEEE Transactions on Neural Networks and Learning Systems, Aug 2015, vol.26, no.8, pp.1747-1760. Impact Factor: 4.291

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, Conformal Predictions for Information Fusion, Annals of Mathematics and Artificial Intelligence, Jun 2015, Vol 74, Issue 1, pp 45-65.

  • Sai Rajeshwar, A Ravi Sankar, V. Balasubramanian, C.D. Sudheer, Scaling up the training of Deep CNNs for Human Action Recognition, 4th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (in conjunction with IPDPS 2015), Hyderabad, India, 2015, pp 1172-1177.

  • R. Jaiswal, V. Balasubramanian, Model Selection Using Efficiency of Conformal Predictors, 3rd International Symposium on Learning and Data Sciences (SLDS 2015), Royal Holloway University of London, Apr 2015, pp 291-300.

2014

  • Sai Rajeshwar, A Ravi Sankar, V. Balasubramanian, C.D. Sudheer, Parallel Learning of Deep Convolutional Neural networks and its Application to Action Recognition, IEEE International Conference on High Performance Computing - Student Research Symposium, Goa, India, 2014. NVIDIA Award for Best Paper using GPU Technologies Acceptance Rate: 25%

2013

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Generalized batch mode active learning for face-based biometric recognition, Pattern Recognition, 46:2, 2013.

  • S. Chakraborty, J. Zhou, V. Balasubramanian, S. Panchanathan, I. Davidson, J. Ye, Active Matrix Completion, In Proceedings of the IEEE International Conference on Data Mining (ICDM’13), Dallas, USA, pp 81-90, Dec 2013.

  • P. Lade, V. Balasubramanian, S. Panchanathan, Probabilistic Topic Models for Human Emotion Analysis, in Proceedings of the Workshop on Topic Models: Computation, Application and Evaluation at Neural Information Processing Systems (NIPS), Lake Tahoe, USA, Dec 2013.

  • V. Balasubramanian, A. Baker, M. Yanez, S. Chakraborty, S. Panchanathan, PyCP: An Open-Source Conformal Predictions Toolkit, in Proceedings of Artificial Intelligence Applications and Innovations (Workshop on Conformal Prediction and Its Applications), vol 412, pp 361-370, Paphos, Cyprus, Oct 2013.

  • P. Lade, V. Balasubramanian, S. Panchanathan, Detection of Changes in Human Affect Dimensions using an Adaptive Temporal Topic Model, in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), pp 1-6, San Jose, USA, Jul 2013.

  • H. Venkateswara, V. Balasubramanian, S. Panchanathan, Multiresolution Match Kernels for Gesture Video Classification, in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), pp 1-4, San Jose, USA, Jul 2013.

  • P. Lade, V. Balasubramanian, S. Panchanathan, Latent Facial Topics for Affect Analysis, in Proceedings of IEEE International Conference on Multimedia and Expo (ICME) Workshop on Affective Analysis in Multimedia, pp 1-6, San Jose, USA, Jul 2013.

2012

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Batch Mode Active Learning for Multimedia Pattern Recognition, PhD Workshop on Multimedia Computing Research, in Proceedings of IEEE International Symposium on Multimedia (ISM'12), pp 489-490, Irvine, USA, Dec 2012.

  • S. Panchanathan, T. McDaniel, V. Balasubramanian, Person-Centered Accessible Technologies: Improved Usability and Adaptation through Inspirations from Disability Research, in Proceedings of the International Workshop on User Experience in e-Learning and Augmented Technologies in Education Proceedings at ACM Multimedia (ACM MM’12), pp 1-6, Nara, Japan, Nov 2012.

  • M. Alzubaidi, V. Balasubramanian, A. Patel, S. Panchanathan, J. A. Black, Efficient Atypicality Detection in Chest Radiographs, in Proceedings of 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), pp 193-198, Montreal, Canada, Jul 2012.

  • M. Alzubaidi, V. Balasubramanian, A. Patel, S. Panchanathan, J. A. Black, A Novel Semi-Transductive Learning Framework for Atypicality Detection in Chest Radiographs, in Proceedings of SPIE Conference on Medical Imaging, Vol 8315 (Computer-Aided Diagnosis), 83153A, San Diego, USA, Feb 2012.

2011

  • S. Nataraju, V. Balasubramanian, S. Panchanathan, An Integrated Approach to Visual Attention Modeling for Saliency Detection in Videos, In Machine Learning for Vision-based Motion Analysis: Advances in Pattern Recognition, Part 3, pp 181-214, Liang Wang, Guoying Zhao, Li Cheng, Matti Pietikäinen (Eds.), Springer-Verlag London, 2011.

  • S. Chakraborty, H. Venkateswara, V. Balasubramanian, S. Panchanathan, Active Batch Selection for Fuzzy Classification in Facial Expression Recognition, in Proceedings of 10th International Conference on Machine Learning and Applications (ICMLA’11), vol.1, pp.241-246, Hawaii, USA, Dec 2011.

  • R. Chattopadhyay, S. Chakraborty, V. Balasubramanian, S. Panchanathan, Optimization-based Domain Adaptation towards Person-Adaptive Classification Models, in Proceedings of 10th International Conference on Machine Learning and Applications (ICMLA’11), vol.1, pp.476-483, Hawaii, USA, Dec 2011.

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Optimal Batch Selection for Active Learning in Multi-label Classification, In Proceedings of the 19th ACM International Conference on Multimedia (ACM MM '11), pp 1413-1416, Scottsdale, USA, Nov 2011.

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Dynamic Batch Mode Active Learning via L1 Regularization, in Proceedings of the National Conference on Artificial Intelligence (AAAI 2011), Vol 2, pp 1764-1765, San Francisco, USA, Aug 2011.

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Dynamic Batch Mode Active Learning, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’11), pp 2649-2656, Colorado Springs, USA, Jun 2011.

  • S. Panchanathan, S. Krishna, V. Balasubramanian, Human-Centered Multimedia Computing: Inspirations through Enriching the Lives of Individuals with Sensory, Motor, Perceptual and Cognitive Disabilities, in Proceedings of the 7th International Conference on Trends in Industrial Measurements and Automation (TIMA 2011), pp 1-6, Chennai, India, Jan 2011.

2010

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, Multiple Kernel Learning for Efficient Conformal Predictions, in Proceedings of the Workshop on New Directions in Multiple Kernel Learning at Neural Information Processing Systems (NIPS), Whistler, Canada, Dec 2010.

  • V. Balasubramanian, S. Chakraborty, S. Krishna, S. Panchanathan, Enhancing Social Interactions of Individuals with Visual Impairments: A Case Study for Assistive Machine Learning, in Proceedings of the Workshop on Machine Learning for Assistive Technologies at Neural Information Processing Systems (NIPS), Whistler, Canada, Dec 2010.

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, An Optimization Based Framework for Dynamic Batch Mode Active Learning, in Proceedings of the 3rd International Workshop on Optimization for Machine Learning at Neural Information Processing Systems (NIPS), Whistler, Canada, Dec 2010.

  • V. Balasubramanian, J. Ye, S. Chakraborty, S. Panchanathan, Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework, in Proceedings of the 9th International Conference on Machine Learning and Applications (ICMLA '10), IEEE Computer Society, pp 235-242, Washington DC, USA, Dec 2010.

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics, in Proceedings of the 9th International Conference on Machine Learning and Applications (ICMLA '10), IEEE Computer Society, pp 15-22, Washington DC, USA, Dec 2010.

  • S. Krishna, V. Balasubramanian, S. Panchanathan, Enriching Social Situational Awareness in Remote Interactions: Insights and Inspirations from Disability Focused Research, in Proceedings of the ACM International Conference on Multimedia (ACM MM’10), pp 1275-1284, Firenze, Italy, Oct 2010.

  • S. Marcel, C. McCool, S. Chakraborty, V. Balasubramanian, S. Panchanathan, J.Nolazco, L. Garcia, R. Aceves, et al., On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation, in Proceedings of the 20th International Conference on Pattern Recognition (ICPR2010), pp 210-225, Istanbul, Turkey, Aug 2010.

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Learning from Summaries of Videos: Applying Batch Mode Active Learning to Face-based Biometrics, Workshop on Biometrics, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW’10), pp 130-137, San Francisco, USA, Jun 2010.

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Batch Mode Active Learning for Biometric Recognition, Proceedings of SPIE International Conference on Biometric Technology for Human Identification, SPIE Defense, Security & Sensing, Vol 7667, B. V. K. Vijaya Kumar, Salil Prabhakar, Arun A. Ross (Eds.), 76670W, Orlando, USA, Apr 2010.

  • M. Alzubadi, V. Balasubramanian, J. A. Black, A. Patel, S. Panchanathan, What Catches a Radiologist’s Eye? A Comprehensive Comparison of Feature Types for Saliency Prediction, in Proceedings of SPIE Conference on Medical Imaging, Vol 7624 (Computer-Aided Diagnosis), Nico Karssemeijer, Ronald M. Summers (Eds.), 76240W, San Diego, USA, Feb 2010.

2009

  • S. Krishna, V. Balasubramanian, J. Black, S. Panchanathan, Person-Specific Characteristic Feature Selection for Face Recognition, Biometrics: Theory, Methods, and Applications, pp 113-141, N. V. Boulgouris, K. N. Plataniotis and E. Micheli-Tzanakou (Eds.), Wiley Publications, 2009.

  • V. Balasubramanian, S. Chakraborty, S. Krishna, S. Panchanathan, Human-Centered Machine Learning in a Social Interaction Assistant for Individuals with Visual Impairments, in Proceedings of the Symposium on Assistive Machine Learning for People with Disabilities at Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec 2009.

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, Online Active Learning using Conformal Predictions, in Proceedings of the Workshop on Analysis and Design of Algorithms for Interactive Machine Learning at Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec 2009.

  • S. Nataraju, V. Balasubramanian, S. Panchanathan, Learning Attention Based Saliency in Videos from Human Eye Movements, in Proceedings of the International Workshop on Motion and Video Computing (WMVC), IEEE Computer Society, pp 134-139, Snowbird, USA, Dec 2009.

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, Generalized Query by Transduction for Online Active Learning, Workshop on Online Learning for Computer Vision, in Proceedings of the IEEE Computer Society International Conference on Computer Vision Workshops (ICCVW’09), pp 1378-1385, Kyoto, Japan, Oct 2009.

  • V. Balasubramanian, R. Gouripeddi, J. Vermillion, A. Bhaskaran, R. Siegel, S. Panchanathan, Support Vector Machine Based Conformal Predictors for Risk of Complications Following a Coronary Drug Eluting Stent Procedure, in Proceedings of IEEE Computers in Cardiology, pp 5-8, Park City, USA, Sep 2009.

  • R. Gouripeddi, V. Balasubramanian, J. Harris, A. Bhaskaran, R. Siegel, S. Panchanathan, Ranking Predictors of Complications following a Drug Eluting Stent Procedure using Support Vector Machines, in Proceedings of IEEE Computers in Cardiology, pp 345-348, Park City, USA, Sep 2009.

  • R. Gouripeddi, V. Balasubramanian, J. Harris, A. Bhaskaran, R. Siegel, S. Panchanathan, Predicting risk of complications following a Drug Eluting Stent Procedure: a SVM approach for imbalanced data, in Proceedings of 22nd IEEE International Symposium on Computer-Based Medical Systems, pp 1-7, Albuquerque, USA, Aug 2009.

2008

  • V. Balasubramanian, S. Panchanathan, Biased Manifold Embedding: Supervised Isomap for Person-Independent Head Pose Estimation, In Computer Vision and Computer Graphics: Theory and Applications, Vol 21, pp 177-188, José Braz, Alpesh Ranchordas, Hélder J. Araújo, João Madeiras Pereira (Eds.), Springer Berlin Heidelberg, 2008.

  • V. Balasubramanian, S. Krishna, S. Panchanathan, Person-independent head pose estimation using biased manifold embedding, EURASIP Journal on Advanced Signal Processing, pp 63:1-63:15, Hindawi Publishing Corporation, 2008.

  • S. Panchanathan, N. C. Krishnan, S. Krishna, T. McDaniel, V. N. Balasubramanian, Enriched Human-Centered Multimedia Computing through Inspirations from Disabilities and Deficit-Centered Computing Solutions, in Proceedings of the 3rd ACM International Workshop on Human-Centered Computing, ACM Multimedia, pp 35-42, Vancouver, Canada, Oct 2008.

  • T. McDaniel, S. Krishna, V. Balasubramanian, D. Colbry, S. Panchanathan, Using a haptic belt to convey non-verbal communication cues during social interactions to individuals who are blind, in Proceedings of IEEE International Workshop on Haptic Audio visual Environments and Games (HAVE), pp.13-18, Ottawa, Canada, Oct 2008.

  • S. Krishna, D. Colbry, J. Black, V. N. Balasubramanian, S. Panchanathan, A Systematic Requirements Analysis and Development of an Assistive Device to Enhance the Social Interaction of People Who are Blind or Visually Impaired, in Proceedings of the European Conference on Computer Vision (ECCV) Workshop on Computer Vision Applications for the Visually Impaired (CVAVI'08), Marseille, France, Oct 2008.

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, Multiple Cue Integration in Transductive Confidence Machines for Head Pose Classification, Workshop on Online Learning for Classification, in Proceedings of the IEEE Computer Vision and Pattern Recognition Workshops (CVPRW’08), pp 1-8, Anchorage, USA, Jun 2008.

  • S. Krishna, S. Panchanathan, T. Hedgpeth, C. Juillard, V. Balasubramanian, N. C. Krishnan, A Wearable Wireless RFID System for Accessible Shopping Environments, in Proceedings of the ICST 3rd International Conference on Body Area Networks (BodyNets’08), pp 29:1-29:8, Tempe, USA, Mar 2008.

  • S. Panchanathan, S. Krishna, J.A. Black, V. Balasubramanian, Human-Centered Multimedia Computing: A New Paradigm for the Design of Assistive and Rehabilitative Environments, in Proceedings of the International Conference on Signal Processing, Communications and Networking (ICSCN '08), pp 1-7, Chennai, India, Jan 2008.

2007

  • V. N. Balasubramanian, J. Ye, S. Panchanathan, Biased Manifold Embedding: A framework for Person-Independent Head Pose Estimation, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR’07), pp 1-7, Minneapolis, USA, Jun 2007.

  • V. N. Balasubramanian, S. Panchanathan, Biased Manifold Embedding for Person-Independent Head Pose Estimation, in Proceedings of the 2nd International Conference on Computer Vision Theory and Applications, pp 76-84, Alpesh Ranchordas, Helder Araújo, Jordi Vitrià (Eds.), Barcelona, Spain, Mar 2007.

2006 and prior

  • K. Kahol, N. C. Krishnan, V. N. Balasubramanian, S. Panchanathan, M. Smith, J. Ferrara, Measuring movement expertise in surgical tasks, in Proceedings of the 14th Annual ACM Conference on Multimedia (ACM MM’06), pp 719-722, Santa Barbara, USA, Oct 2006.

  • N.B. Vineeth, B. Krishnamoorthy, G.V. Prabhakara Rao, Mosaicing of MPEG compressed video: a unified approach, in Proceedings of the SPIE International Conference on Optical Science and Engineering, Vol 5558 (Applications of Digital Image Processing), 847, Denver, USA, Aug 2004.

OTHER

  • S. Chakraborty, V. Balasubramanian, S. Panchanathan, Batch Mode Active Learning for Multimedia Pattern Recognition, 7th Annual Machine Learning Symposium, New York Academy of Sciences, New York, USA, Oct 2012.

  • V. Balasubramanian, S. Chakraborty, S. Panchanathan, Confidence Estimation in Pattern Classification: An Analysis with Head Pose Estimation, Technical Report TR-09-12, School of Computing and Informatics, Arizona State University, Jul 2009.

  • S. Krishna, T. McDaniel, V. Balasubramanian, D. Colbry, S. Panchanathan, Haptic Belt for Delivering Nonverbal Cues to People who are Blind/Visually Impaired, 24th Annual International Technology and Persons with Disabilities Conference (CSUN 2009), Los Angeles, USA, Mar 2009.

  • S. Krishna, V. Balasubramanian, N. C. Krishnan, T. Hedgpeth, The iCARE Ambient Interactive Shopping Environment, CSUN's 23rd Annual International Technology and Persons with Disabilities Conference (CSUN 2008), Los Angeles, USA, Mar 2008.

PATENT APPLICATIONS

  S. Krishna, T. McDaniel, V. Balasubramanian, D. Colbry, S. Panchanathan, Vibrotactile Communication for Social Interaction, US Patent Application No 61/143,306, 2009-2010 (provisional patent).

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