2024 : Journals

A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Corruption Depth: Analysis of DNN depth for Misclassification, In Neural Networks, 2024, vol. 172, pp. 106013
R. Uikey, H. R. Lone, A. Agarwal, Member, Indian Traffic Sign Detection and Classification Through a Unified Framework, In IEEE Transactions on Intelligent Transportation Systems, 2024
W. Yu, X. Zhang, S. Das, X. Xiang Zhu and P. Ghamisi, "MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024, Art no. 5631316, doi: 10.1109/TGRS.2024.342430
Bhardwaj R. Bhargawa, Kumar V.*. NFED: Enhancing Fire Evacuation Dynamics through 3D Congestion-Aware Indoor Navigation Framework. Simulation Modelling Practice and Theory.
Dabra A., Kumar V*, Aryal J. UAV Data Fusion and nDSM Perturbations for Automated Road Extraction in Diverse Urban Environments of Developing Nations Using Deep Learning. (Accepted for publication) Remote Sensing Applications: Society and Environment.
Lohani, B., *Khan, P., Kumar, V. et al. Role of Simulated Lidar Data for Training 3D Deep Learning Models: An Exhaustive Analysis. J Indian Soc Remote Sens. https://doi.org/10.1007/s12524-024-01905-2
*Kumar, V., Nandy, A., Soni, V. et al. Powerline extraction from aerial and mobile LiDAR data using deep learning. Earth Science Informatics. https://doi.org/10.1007/s12145-024-01310-w
Vipul Bhadani, Abhilash Singh, Vaibhav Kumar, Kumar Gaurav, Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction, Environmental Modelling & Software, Volume 175, 2024, 105995, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2024.105995.
Kuriyal, A., *Kumar, V. & Lohani, B. pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation. SN COMPUT. SCI. 5, 272 (2024). https://doi.org/10.1007/s42979-024-02627-5
Vivek Kumar Singh, Vaibhav Kumar*, Enhancing emergency vehicle access in dense settlements of Mumbai using high-resolution satellite imagery: A deep learning approach, International Journal of Disaster Risk Reduction: Elsevier, 104212, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2023.104212.
Abhilash Singh, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav. AutoML-GWL: Automated machine learning model for the prediction of groundwater level, Engineering Applications of Artificial Intelligence: Elsevier, https://doi.org/10.1016/j.engappai.2023.107405

Conferences

K. Bhesra, A. Agarwal, A Multi-Modal Framework to Counter Hate Speeches, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024
A. Yadav, V. Pareek, A. Agarwal, S. Chaudhury, Neural Encoding of Odors: Translating Odors into Unique Digital Representation with EEG Signals, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024
U. Rathore, A. Agarwal, An Unconstrained Dataset for Face Recognition Across Distance, Pose, and Resolution, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024
M. Uzair, A. Agarwal, Robustness of Classifiers for AI-Generated Text Detectors For Copyright and Privacy Protected Society, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024
A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024
A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Restoring Noisy Images using Dual-tail Encoder-Decoder Signal Separation Network, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024
H. Dhake, A. Agarwal, Enhancing Drug Abuse Face Recognition: A Study on Image Corruption and Restoration, IEEE International Joint Conference on Biometrics (IJCB), 2024
V. Kumar, A. Agarwal, Are Object Recognition Models Effective and Unbiased for Biometric Recognition?, IEEE International Joint Conference on Biometrics (IJCB), 2024
M. RA, A. Agarwal, Benchmarking In-the-wild Soft Biometric Attribute Identification, IEEE International Joint Conference on Biometrics (IJCB), 2024
M. Dosi, U. Rathore, C. Chiranjeev, A. Agarwal, R. Singh, M Vatsa, Is Face Super Resolution Truly Pushing the Boundaries of Face Recognition?, IEEE International Joint Conference on Biometrics (IJCB), 2024
A. Agarwal, N. Ratha, Face Morphing Detection in Social Media Content, IEEE International Conference on Image Processing (ICIP), 2024
A. Agarwal, N. Ratha, Deepfake Catcher: Can a Simple Fusion be Effective and Outperform Complex DNNs?, CVPR Workshop and Challenge on DeepFake Analysis and Detection (CVPRW), 2024
H. Dhake, A. Agarwal, Unravelling Robustness of Deep Face Recognition Networks Against Illicit Drug Abuse Images, CVPR Workshop and Competition on Affective Behavior Analysis in-the-wild (CVPRW), 2024
S. Kundu, S. Swarnkar, and A. Agarwal, Application of Machine-Learning Based Models for Prediction of Suspended Sediment Load in the Indian Peninsular River Basin, EGU General Assembly, Vienna, Austria, EGU24-1117, 2024
Shraddha Agarwal, Vinod K Kurmi, Abhirup Banerjee, Tanmay Basu “TCPNet: A Novel Tumor Contour Prediction Network using MRIs “ 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024), Orlando Florida (USA).
Anuradha Mahato, Prateek Sarangi, Vinod Kumar Kurmi, Abhirup Banerjee, Abhishek Goyal and Tanmay Basu. Uncertainty Quantification in Deep Learning Framework for Mallampati Classification. Accepted for publication in Proceedings of Data privacy and Data Analysis in Healthcare Systems Workshop at IEEE International Conference on Healthcare Informatics, Orlando, USA, 2024.
Riyansha Singh, Parinita Nema, Vinod K Kurmi “ Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation” Conference of the International Speech Communication Association (Interspeech) 2024., Kos Island, Greece.
R. Gupta, S. V. Kumar, Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning, ICLR TinyPapers, 2024.
A. Agarwal, N. Ratha, Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm, IEEE International Conference on Automatic Face and Gesture Recognition, 2024.
P. Rai, P. Pal, A. Agarwal, A Generalized Semiconductor Wafer Defect Classifier, ICLR TinyPapers, 2024. (Invite to Present)
K. Bhesra, S. Shukla, A. Agarwal, Audio vs. Text: Identify a Powerful Modality for Effective Hate Speech Detection, ICLR TinyPapers, 2024. (Invite to Present)
A. Likhit, D. Tripathi, A. Agarwal, A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification, ICLR TinyPapers, 2024.
H. Dhake, A. Agarwal, On the Robustness of Drug Abuse Face Classification, ICLR TinyPapers, 2024.

2023 : Journals

Surya Prasath Ramalingam, Vaibhav Kumar*, Automatizing the generation of building usage maps from geotagged street view images using deep learning, Building, and Environment, 2023, 110215, ISSN 0360-1323.
Priyadarshi, M., Maratha, M., Anish, M., Kumar, V.. Dynamic routing for efficient waste collection in resource-constrained societies. Scientific Reports: Nature. 13, 2365 (2023). https://doi.org/10.1038/s41598-023-29593-x
Dabra, A., Kumar, V. Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning. Neural Comput & Applic (2023). https://doi.org/10.1007/s00521-023-08320-7
M. Singh, P. Jetley, A. Singhal, and P.B. Sujit: State-Dependent Riccati Equation based UAV Path Following Guidance for Shipborne Net Recovery, Unmanned System Journal, 2023.
A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Parameter Agnostic Stacked Wavelet Transformer for Detecting Singularities, In Information Fusion, 2023
A. Agarwal, R. Singh, M. Vatsa, N. Ratha, IBAttack: Being Cautious about Data Labels, In IEEE Transactions on Artificial Intelligence (IEEE T-AI), 2023 (DOI: 10.1109/TAI.2022.3206259)
A. Mehra, A. Agarwal, M. Vatsa, and R. Singh, Motion Magnified 3D Residual-in-Dense Network for DeepFake Detection, In IEEE Transactions on Biometrics, Behavior, and Identity Science (IEEE T-BIOM), volume 5, pp 39-52, 2023

Conferences

V. Kumar and A. Agarwal, On Unconstrained Ear Recognition For Privacy-Preserving Authentication, Workshop on Advances of Mobile and Wearable Biometrics (WAMWB), in conjunction with ACM International Conference on Mobile Human-Computer Interaction (MobileHCI), 2023.
Ojawasee and A. Agarwal, Benchmarking Image Classifiers for Out-of-Distribution Adversary Detection, ICCV Workshop and Challenges for Out-of-Distribution Generalization in Computer Vision, 2023.
R. Sharma, B. Jawade, A. Agarwal, S. Setlur, and N. Ratha, Attention Guided Multi-attribute Architecture For Deepfake Detection, IEEE Western New York Image and Signal Processing Workshop (WNYISPW), pp. 1-4, 2023
G. Goswami, A. Agarwal, N. K. Ratha, R. Singh, M. Vatsa, Federated Learning for Local and Global Data Distribution, ICLR TinyPapers, 2023
U. Rathore, A. Agarwal, Is DFR for Soft Biometrics Prediction in Unconstrained Images Fair and Effective?, ICLR TinyPapers, 2023
Naval A., Kumar V., Gaurav K. (2023). Quantifying Vertical Farming Potential Using Digital Twins, ICT4SD.
Kumar V., Singh V. (2023). Classification of Minor Roads Inside Dense Informal Settlements of Mumbai using Machine Learning, ICT4SD.
Kuriyal A., Kumar V. (2023). pGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient-Based Localization. ICLR TinyPapers, 2023.
Bhandani V., Kumar V. (2023) Machine learning models to predict groundwater level in a Semi-arid river catchment, Central India, EGU23 (Poster)
A. Agarwal and N. Ratha, On the Robustness of Stock Market Regressors, Workshop on Modelling Uncertainty in the Financial World (MUFin) In Conjunction with AAAI, 2023
A. Agarwal, N. Ratha, A. Noore, R. Singh, M. Vatsa, Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions?, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023

2022 : Journals

Kumar, V., (2022). Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model, Scientific Reports: Nature, 12, 1849. https://doi.org/10.1038/s41598-022-05974-6
A. Manoharan and P.B. Sujit: NMPC-Based Cooperative Strategy To Lure Two Attackers Into Collision By Two Targets, IEEE Control System Letters, 2022, vol. 7, pp. 496-501.
H. Masnavi, J. Shrestha, M. Mishra, P.B. Sujit, K. Kruusamäe, A K Singh: Visibility-aware navigation with batch projection augmented cross-entropy method over a learned occlusion cost, IEEE Robotics and Automation Letters, 2022, vol. 7, no. 4, pp. 9366-9373.
A. Gautam, M. Singh, P.B. Sujit, and Srikanth Saripalli: Autonomous quadcopter landing on a moving target, Sensors, Vol. 22, 2022.
A. Agarwal, N. Ratha, M. Vatsa, R. Singh, Crafting Adversarial Perturbations via Transformed Image Component Swapping, IEEE Transactions on Image Processing (IEEE T-IP), vol. 31, pp. 7338-7349, 2022.
A. Roy and T. Basu, Postimpact Similarity: A Similarity Measure for Effective Grouping of Unlabelled Text Using Spectral Clustering. Knowledge and Information Systems, vol. 64, pp. 723-742, Springer, 2022.

Book Chapters

A. Agarwal and N. Ratha, "Manipulating Faces for Identity Theft via Morphing and Deepfake", Handbook of Statistics: Deep Learning, Elsevier, 2022

Conferences

H. Masnavi, J. Shrestha, M. Mishra, P.B. Sujit, K. Kruusamäe, A. K. Singh: Visibility-aware navigation with batch projection augmented cross-entropy method over a learned occlusion cost, IEEE International Conference on Intelligent Robots and Systems,2022.
S. Agrawal, P.B. Sujit, and A. G. Reina: Response threshold distributions to improve best-of-n decisions in minimalistic robot swarms, International Conference on Swarm Intelligence, 2022.
P. Tyagi, C. Liu, and P.B. Sujit: Energy optimal 3D target tracking using fixed-wing UAV, International Conference on Unmanned Aerial Systems, 2022
D. Soni, A. Manoharan, P. Tyagi, and P.B. Sujit: Learning--based NMPC Framework for Car Racing Cinematography Using Fixed-Wing UAV, International Conference on Unmanned Aerial Systems, 2022.
S. Bagchi, G. Chanda, A. Agarwal, and N. Ratha, On Deep Learning for Dorsal Hand Vein Recognition, IEEE Western New York Image and Signal Processing Workshop (WNYISPW), pp. 1-4, 2022
T. S. Shekhawat, M. Kumar, U. Rathore, A. Joshi, J. Patro, IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English, SemEval@NAACL, pp. 938-944, 2022.
H. Srivastava, Lijin N. S., Sruthi S and T. Basu. NLP-IISERB@eRisk2022: Exploring the Potential of Bag of Words, Document Embeddings and Transformer Based Framework for Early Prediction of Eating Disorder, Depression and Pathological Gambling Over Social Media, Proceedings of CLEF 2022 Working Notes, pp. 987-994, Bologna, Italy.
S. Saha, D. Roy, B Y. Goud, C. S Reddy, and T. Basu. NLP-IISERB@Simpletext2022: To Explore the Performance of BM25 and Transformer Based Frameworks for Automatic Simplification of Scientific Texts, Proceedings of CLEF 2022 Working Notes, pp. 2852-2857, Bologna, Italy. T. Basu. IISERB@ LT-EDI-ACL2022: A Bag of Words and Document Embeddings Based Framework to Identify Severity of Depression Over Social Media. Proceedings of the Second Workshop on Language Technology for Equality, Diversity, and Inclusion, pp. 234-238, ACL 2022.

2021 : Journals

Kumar V., Singh, V.K., Gupta, K. et al. (2021). Integrating Cellular Automata and Agent-Based Modeling for Predicting Urban Growth: A Case of Dehradun City. J Indian Soc Remote Sens. https://doi.org/10.1007/s12524-021-01418-2.
P. Maini, P. Tokekar and P.B. Sujit: Visual monitoring of points of interest on a 2.5D terrain using a UAV with limited field-of-view constraint, IEEE Transactions on Aerospace Electronic Systems, Vol. 57, No. 6, pp. 3661--3672, Dec 2021.
P. Maini, P. Tokekar and P.B. Sujit: Visibility-based persistent monitoring of piecewise linear features on a terrain using multiple aerial and ground robots, IEEE Transactions on Automation Science and Engineering, Vol. 18, No. 4, pp. 1692--1704, 2021.

Conferences

V. Kumar, A. Sarkar and A. Jana, "Big Data and WebGIS for Formulating Health Care Policy in India," 2021 IEEE Conference on Norbert Wiener in the 21st Century (21CW), 2021, pp. 1-6, doi: 10.1109/21CW48944.2021.9532567.
Y. Kumar, S.B. Roy, and P.B. Sujit: Velocity Estimator Augmented Image-Based Visual Servoing for Moving Targets with Time-Varying 3-D Motion, IEEE International Conference on Decision and Control, 2021.
R. Balasubramanyam, L. Zhou, P. T., and P.B. Sujit: Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem, IEEE International Conference on Intelligent Robot Systems, 2021.
K. Viswanath, K. Singh, P. J., P.B. Sujit, and Srikanth Saripalli: OFFSEG: A Semantic Segmentation Framework For Off-Road Driving, IEEE International Conference on Automation Science and Engineering, 2021.
V. Kanna and P.B. Sujit: MPC-based Multi-UAV Path Planning for Convoy Protection in 3D, IEEE International Conference on Automation Science and Engineering, 2021.
P. Tyagi, Y. Kumar, P.B. Sujit: NMPC-based UAV 3D Target Tracking In The Presence Of Obstacles and Visibility Constraints, International Conference on Unmanned Aerial Systems, 2021.
P. Mali, H. Kandath, A. Singh, M. Krishna, and P.B. Sujit: Incorporating Prediction in Control Barrier Function Based Distributive Multi-Robot Collision Avoidance, European Control Conference, 2021.

2020 : Journals

P. Mali, A.K. Singh, M. Krishna, and P.B. Sujit: Model predictive control for target tracking in 3D with a downward facing camera equipped fixed wing aerial vehicle, IEEE International Conference on Automation Science and Engineering, 2020.
Y. Kumar, S.B. Roy, and P.B. Sujit: Barrier Lyapunov function-based trajectory tracking controller for autonomous vehicles with guaranteed safety bounds, IEEE International Conference on Unmanned Aircraft Systems, 2020.
S. Bhagat and P.B. Sujit: UAV target tracking in urban environments using deep reinforcement learning, IEEE International Conference on Unmanned Aircraft Systems, 2020.