Publications

2019

  • Journals
  • A. Agarwal, R. Keshari, M. Wadhwa, M. Vijh, C. Parmar, R. Singh, M. Vatsa, Iris sensor identification in multi-camera environment, Information Fusion, Volume 45, pp. 333-345, 2019.
  • T. Chakraborty, S. Ghosh, N. Park, Ensemble-based overlapping community detection using disjoint community structures, Knowledge-Based Systems, Volume 163, pp. 241-251, 2019.
  • J. Maggu, H. K. Aggarwal, A. Majumdar, Label-Consistent Transform Learning for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, 2019.
  • M. Singh, R. Singh, M. Vatsa, N. Ratha, R. Chellappa, Recognizing Disguised Faces in the Wild, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2019.
  • G. Goswami, A. Agarwal, N. Ratha, R. Singh, M. Vatsa, Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition, In International Journal of Computer Vision (IJCV), Special Issue on Deep Learning for Face Analysis, 2019.
  • N. Kohli, D. Yadav, M. Vatsa, R. Singh, A. Noore, Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos, IEEE Transactions on Image Processing, Volume 28, No. 3, pp. 1329-1341, 2019.
  • M. Singh, R. Singh, A. Ross, A Comprehensive Overview of Biometric Fusion, Information Fusion, Volume 52, pp. 187-205, 2019.
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  • Conferences
  • S. Chhabra, P. Majumdar, M. Vatsa, R. Singh, Data Fine-tuning, In Proceedings of AAAI Conference on Artificial Intelligence, 2019.
  • R. Keshari, M. Vatsa, and R. Singh, Guided Dropout, In Proceedings of AAAI Conference on Artificial Intelligence, 2019.
  • T. Chowdhury, T. Chakraborty, CQASUMM: Building References for Community Question Answering Summarization Corpora, In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019.
  • J. Maggu and A. Majumdar, Supervised Kernel Transform Learning, In IEEE International Joint Conference on Neural Networks (IJCNN), 2019.
  • S. Ghosh, R. Singh, M. Vatsa, On Learning Density Aware Embeddings, IEEE Conference on Computer Vision and Pattern Recognition , 2019.
  • S. Gupta, N. Gupta, S. Ghosh, M. Singh, S. Nagpal, R. Singh, M. Vatsa, FaceSurv: A Benchmark Video Dataset for Face Detection and Recognition Across Spectra and Resolutions, IEEE International Conference on Automatic Face and Gesture Recognition, 2019.
  • I. Kalra, M. Singh, S. Nagpal, R. Singh, M. Vatsa, DroneSURF: Benchmark Dataset for Drone-based Face Recognition, IEEE International Conference on Automatic Face and Gesture Recognition, 2019.
  • S. Mehta, A. Uberoi, A. Agarwal, M. Vatsa, R. Singh, Crafting A Panoptic Face Presentation Attack Detector, IAPR International Conference On Biometrics, 2019.
  • A. Agarwal, A. Sehwag, M. Vatsa, R. Singh, Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms, IAPR International Conference On Biometrics, 2019.
  • Ramya Y. S., S. Ghosh, M. Vatsa, R. Singh, Face Sketch Image Colorization via Supervised GANs, IAPR International Conference On Biometrics, 2019.
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2018

  •  
  • Journals
  • T. Chakraborty, Role of Interdisciplinarity in Computer Sciences: Quantification, Impact and Life Trajectory, Scientometrics, Volume 114, No. 3, pp. 1011-1029, 2018.
  • M. Thammawichai, P.B. Sujit, E.C. Kerrigan, J.B. Sousa, Optimizing communication and computation for multi-UAV information gathering applications, IEEE Transactions on Aerospace Electronic Systems, Volume 54, No. 2, pp. 601-615, 2018.
  • V. Singhal, A. Majumdar, Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning, Neural Processing Letters, Volume 47, No. 3, pp. 799-814, 2018.
  • T. I. Dhamecha, M. Shah, P. Verma, M.Vatsa, R.Singh, CrowdFaceDB: Database and benchmarking for face verification in crowd, Pattern Recognition Letters, Volume 107, pp. 17-24, 2018.
  • M. Singh, S. Nagpal, M. Vatsa, R. Singh, Are you eligible? Predicting adulthood from face images via class specific mean autoencoder, Pattern Recognition Letters, 2018.
  • A. Sethi, M. Singh, R. Singh, M. Vatsa, Residual Codean Autoencoder for Facial Attribute Analysis, Pattern Recognition Letters, 2018.
  • D. John Lewis, V. Singhal, A. Majumdar, Solving Inverse Problems in Imaging via Deep Dictionary Learning, IEEE Access, 2018.
  • S. Singh, A. Majumdar, Deep sparse coding for non–intrusive load monitoring, IEEE Transactions on Smart Grid, Volume 9, No. 5, pp. 4669-4678, 2018.
  • V. Singhal, J. Maggu, A. Majumdar, Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning, IEEE Transactions on Smart Grid, 2018.
  • S. Gopal, S. K. Kaul, S. Roy, Optimizing city-wide White-Fi networks in TV white spaces, IEEE Transactions on Cognitive Communications and Networking, Volume 4, No. 4, pp. 749-763, 2018.
  • R. D. Yates, S. K. Kaul, The age of information: Real-time status updating by multiple sources, IEEE Transactions on Information Theory, 2018.
  • A. Majumdar, Graph structured autoencoder, Neural Networks, Volume 106, pp. 271-280, 2018.
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  • Conferences
  • Garvita Allabadi, Aritra Dhar, Ambreen Bashir, Rahul Purandare, METIS: Resource and Context-Aware Monitoring of Finite State Properties. Runtime Verification (RV), 167-186, 2018.
  • A. Jain, R. Singh, M. Vatsa, On Detecting Synthetic Alterations using GANs and Retouching, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018.
  • S. Suri, A. Sankaran, M. Vatsa, R. Singh, On Matching Faces with Alterations due to Plastic Surgery and Disguise, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018.
  • R. Garg, Y. Baweja, S. Ghosh, M. Vatsa, R. Singh, N. Ratha, Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018.
  • A. Goel, A. Singh, A. Agarwal, M. Vatsa, R. Singh, Smartbox: Benchmarking adversarial detection and mitigation algorithms for face recognition, IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2018.
  • A. Agarwal, R. Singh, M. Vatsa, N. Ratha, Are imageagnostic universal adversarial perturbations for face recognition difficult to detect, IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2018.
  • V. Kushwaha, M. Singh, R. Singh, M. Vatsa, N. Ratha, R. Chellappa, Disguised Faces in the Wild, IEEE International Conference on Computer Vision and Pattern Recognition Workshop on Disguised Faces in the Wild, 2018.
  • S. Siddiqui, M. Vatsa, R. Singh, Face Recognition for Newborns, Toddlers, and Pre-School Children: A Deep Learning Approach, In 24th International Conference on Pattern Recognition (ICPR), 2018.
  • D. Khanna, S. Sharma, C. Rodríguez, R. Purandare, Dynamic Symbolic Verification of MPI Programs, In International Symposium on Formal Methods, Springer, Cham, 2018.
  • D. Yadav, N. Kohli, E. Kalsi, M. Vatsa, R. Singh, A. Noore, Unraveling Human Perception of Facial Aging using Eye Gaze, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.
  • R. Keshari, M. Vatsa, R. Singh, A. Noore, Learning Structure and Strength of CNN Filters for Small Sample Size Training, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.
  • M. Singh, S. Nagpal, M. Vatsa, R. Singh, A. Majumdar, Identity Aware Synthesis for Cross Resolution Face Recognition, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.
  • A. Malhotra, R. Singh, M. Vatsa, V. M. Patel, Person Authentication using Head Images, In IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
  • L. Tiwari, S. Anand, DGSAC: Density Guided Sampling and Consensus, In IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
  • A. Sobti, C. Arora, M. Balakrishnan, Object Detection in Real-Time Systems: Going Beyond Precision, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
  • S. Patra, P. Maheshwari, S. Yadav, S. Banerjee, C. Arora. A Joint 3D-2D based Method for Free Space Detection on Roads, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
  • D. Khandelwal, C. Arora, and P. Singla. Learning Higher Order Potentials For MRFs, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
  • C. Arora, V. Kwatra. Stabilizing First Person 360 Degree Videos, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
  • S. Chhabra, R. Singh, M. Vatsa, G. Gupta, Anonymizing k-Facial Attributes via Adversarial Perturbations, In proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  • S. Chopra, A. Malhotra, M. Vatsa, R. Singh, Unconstrained Fingerphoto Database, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.
  • P. Majumdar, S. Chhabra, R. Singh, M. Vatsa, On Detecting Domestic Abuse via Faces, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.
  • S. Sinha, M. Agarwal, M. Vatsa, R. Singh, S. Anand, Exploring Bias in Primate Face Detection and Recognition, In Proceedings of European Conference on Computer Vision Workshop on Bias Estimation in Face Analytics, 2018.
  • H. S. Dutta, A. Chetan, B. Joshi, T. Chakraborty, Retweet us, we will retweet you: Spotting collusive retweeters involved in blackmarket services, In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018.
  • M. Gupta, A Majumdar, Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring, In IEEE International Joint Conference on Neural Networks (IJCNN), 2018.
  • S. Maheshwari, A. Majumdar, Hierarchical Autoencoder for Collaborative Filtering, In IEEE International Joint Conference on Neural Networks (IJCNN), 2018.
  • S. Jain, A. Majumdar, Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems, In IEEE International Joint Conference on Neural Networks (IJCNN), 2018.
  • V. Singhal, A. Majumdar, Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification, In IEEE International Joint Conference on Neural Networks (IJCNN), 2018.
  • S. K. Kaul, R. D. Yates, R. D, Age of information: Updates with priority, In IEEE International Symposium on Information Theory (ISIT), 2018.
  • S. Gopal, S. K. Kaul, A game theoretic approach to DSRC and WiFi coexistence, In IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2018.
  • T. Shreedhar, S. K. Kaul, R. D. Yates, ACP: Age Control Protocol for Minimizing Age of Information over the Internet, In Proceedings of the 24th ACM Annual International Conference on Mobile Computing and Networking (MobiCom), 2018.
  • M. K. Pal, R. Bhati, A. Sharma, A., S. K. Kaul, S. Anand, P. B. Sujit, A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving, In IEEE 21st International Conference on Intelligent Transportation Systems (ITSC), 2018.
  • S. Sikdar, T.Chakraborty, S. Sarkar, N. Ganguly, A. Mukherjee. ComPAS: Community Preserving Sampling for Streaming Graphs, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
  • S. Gupta, A. Khattar, A. Gogia, P. Kumaraguru and T. Chakraborty, Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach, In Proceedings of the World Wide Web Conference on World Wide Web, 2018.
  • P.B. Sujit, UAV coalition formation with increased decision-making autonomy, AIAA Information Systems-AIAA Infotech @ Aerospace, AIAA SciTech and Technology Forum and Exposition, 2018.
  • H. Rashid, P. Singh, Monitor: An abnormality detection approach in buildings energy consumption, In IEEE 4th International Conference on Collaboration and Internet Computing (CIC) 2018.
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  • Technical Reports
  • M. Singh, S. Nagpal, M. Vatsa, R. Singh, A. Noore, Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss, arXiv preprint arXiv:1810.06221, 2018.
  • M. Singh, S. Nagpal, R. Singh, M.Vatsa, A. Noore, Learning A Shared Transform Model for Skull to Digital Face Image Matching, arXiv preprint arXiv:1808.04571, 2018.
  • G. Goswami, N. Ratha, A. Agarwal, R. Singh, M. Vatsa, Unravelling robustness of deep learning based face recognition against adversarial attacks, arXiv preprint arXiv:1803.00401, 2018.
  • A. Tripathi, A. Mohan, S. Anand, and M. Singh, Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition, arXiv preprint arXiv:1805.08615, 2018.
  • D. Gupta, T. Chakraborty, S. Chakrabarti, GIRNet: Interleaved Multi-Task Recurrent State Sequence Models, arXiv preprint arXiv:1811.11456, 2018.
  • J. Chakraborty, D. Pradhan, H. S. Dutta, S. Nandi, T. Chakraborty, On Good and Bad Intentions behind Anomalous Citation Patterns among Journals in Computer Sciences, arXiv preprint arXiv:1807.10804, 2018.
  • T. Shreedhar, N. Mohan, S. K. Kaul, J. Kangasharju, QAware: A Cross-Layer Approach to MPTCP Scheduling, arXiv preprint arXiv:1808.04390, 2018.
  • R Chaturvedi, S Gopal, SK Kaul, Welfare Analysis of Network Neutrality Regulation, arXiv preprint arXiv:1811.10094, 2018.
  • A. Sharma, P. Kumar, S. Anand, S. K. Kaul, A Reinforcement Learning Approach to Target Tracking in a Camera Network. arXiv preprint arXiv:1807.10336, 2018.
  • D. Jaisinghani, V. Naik, S. K. Kaul, R. Balan, S. Roy, Improving the Performance of WLANs by Reducing Unnecessary Active Scans, arXiv preprint arXiv:1807.05523, 2018.
  • T. Shreedhar, S. K. Kaul, R. D. Yates, ACP: An end-to-end transport protocol for delivering fresh updates in the Internet-of-Things, arXiv preprint arXiv:1811.03353, 2018.
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2017

  •  
  • Journals
  • I. Manjani, S. Tariyal, M. Vatsa, R. Singh, A. Majumdar, Detecting silicone mask-based presentation attack via deep dictionary learning, IEEE Transactions on Information Forensics and Security, Volume 12, No. 7, pp. 1713-1723, 2017.
  • G. Goswami, M. Vatsa, and R. Singh, Face Verification via Learned Representation on Feature-Rich Video Frames, IEEE Transactions on Information Forensics and Security, Volume 12, No. 7, pp. 1686-1698, 2017.
  • S. Dawar, V. Goyal, D. Bera, A hybrid framework for mining high-utility itemsets in a sparse transaction database, Applied Intelligence, Volume 47, No. 3, pp. 809-827, 2017.
  • S. Dawar, V. Sharma,V. Goyal, Mining top-k high-utility itemsets from a data stream under sliding window model, Applied Intelligence, Volume 47, No. 4, pp. 1240-1255, 2017.
  • V. M. V. Gunturi, S. Shekhar, K. Joseph, K. M. Carley, Scalable computational techniques for centrality metrics on temporally detailed social network, Machine Learning, Volume 106, No. 8, pp. 1133-1169, 2017.
  •  
  • Conferences
  • P. Basak, S. De, M. Agarwal, A. Malhotra, M. Vatsa, R. Singh, Multimodal biometric recognition for toddlers and pre-school children, In IEEE International Joint Conference on Biometrics (IJCB), 2017.
  • M. Singh, S. Nagpal, M. Vatsa, R. Singh, A.Noore, A. Majumdar, Gender and ethnicity classification of Iris images using deep class-encoder, In IEEE International Joint Conference Biometrics (IJCB), 2017.
  • S. Nagpal, M. Singh, A. Jain, R. Singh, M. Vatsa, and A. Noore, On Matching Skulls to Digital Face Images: A Preliminary Approach, In Proceedings of IEEE International Joint Conference on Biometrics (IJCB), 2017.
  • V. Vinayakarao, A. Sarma, R. Purandare, S. Jain, S. Jain, Anne: Improving source code search using entity retrieval approach, In ACM International Conference on Web Search and Data Mining (WSDM), 2017.
  • R. Tiwari, P. Jain, S. Butail, S. P. Baliyarasimhuni, M. A. Goodrich, Effect of leader placement on robotic swarm control, In Proceedings of the 16th Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2017.
  • G. Goswami, R. Singh, M. Vatsa, A. Majumdar, Kernel group sparse representation based classifier for multimodal biometrics, In IEEE International Joint Conference Neural Networks (IJCNN), 2017.
  • V. Singhal, A. Majumdar, Noisy Deep Dictionary Learning: Application to Alzheimer's Disease Classification, In IEEE International Joint Conference on Neural Networks (IJCNN), 2017.
  • V. Singhal, P. Khurana, A. Majumdar, Class-wise Deep Dictionary Learning, In IEEE International Joint Conference on Neural Networks (IJCNN), 2017.
  • A. Tripathi, A. Majumdar, Asymmetric Stacked Autoencoder, In International Joint Conference on Neural Networks (IJCNN), 2017.
  • M. Singh, S. Nagpal, R. Singh and M. Vatsa, Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification, In International Joint Conference on Neural Networks (IJCNN), 2017.
  • R. D. Yates, S. K. Kaul, Status updates over unreliable multiaccess channels, In IEEE International Symposium on Information Theory (ISIT), 2017.
  • D. Jaisinghani, V. Naik, S. K. Kaul, S. Roy, Sniffer-based inference of the causes of active scanning in WiFi networks, In IEEE 23rd National Conference on Communications (NCC), 2017.
  • S. Nagpal, M. Singh, R. Singh, M. Vatsa, A. Noore, and A. Majumdar, Face Sketch Matching via Coupled Deep Transform Learning, In IEEE International Conference on Computer Vision, 2017.
  • P. Maini, S. Rathinam, P. B. Sujit, Curvature Constrained Trajectory Planning for a UAV through a Sequence of Points: A Perturbation Approach, 11th Asian Control Conference (ASCC), 2017.
  • G. Bajaj, P. Singh, Mew: A Plug-n-Play Framework for Task Allocation in Mobile Crowdsensing, In Proceedings of the 1st ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017.
  • H. Rashid, P. Singh, Poster: Energy Disaggregation for identifying anomalous appliance, In Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017.
  • H. Rashid, P. Singh, K. Ramamritham, Revisiting selection of residential consumers for demand response programs, In Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017.
  • H. Rashid, P. M. Mammen, S. Singh, K. Ramamritham, P. Singh, P. Shenoy, Want to reduce Energy Consumption? Don’t depend on the Customers!, In Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017.
  • B. Bhatnagar, S. Singh, C. Arora, C.V. Jawahar, Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions, International Joint Conference on Artificial Intelligence (IJCAI), 2017.
  • A. Gautam, P.B Sujit, S. Saripalli, Autonomous Quadrotor Landing Using Vision and Pursuit Guidance, 20th IFAC World Congress, 2017.
  • H. Oliveira, P.B. Sujit, J.B. Sousa, Robust detection and tracking of ground vehicles using UAV, AIAA Guidance, Navigation, and Control Conference, 2017.
  •  
  • Technical Reports
  • T. Shreedhar, N. Mohan, S. K. Kaul, J. Kangasharju, More Than The Sum Of Its Parts: Exploiting Cross-Layer and Joint-Flow Information in MPTCP, arXiv preprint arXiv:1711.07565, 2017.
  • V. Mittal, S. K. Kaul, S. Roy, Optimizing Networks for Internet Access Using Tethering, arXiv preprint arXiv:1709.00844, 2017.
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2016

  •  
  • Conferences
  • P. Agarwal, R. Verma, V. M. V. Gunturi, Discovering Spatial Regions of High Correlation, In 16th IEEE International Conference on Data Mining (ICDM), 2016.
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  • Dissertations
  • V.Sharma, V. Goyal, Mining top-K high utility itemsets in streaming data: a comparative study, PhD diss., 2016.
  • S. Kochanthara, R. Purandare, REVERT: runtime verification for real-time systems, PhD diss., 2016.