| 2026 | ACL | BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning. | Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora, Nitin Kumar, Prathosh AP, Sandeep Kumar |
| 2026 | WACV | UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets. | Arnav Aditya, Nitin Kumar, Saurabh J. Shigwan |
| 2024 | BMVC | UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters. | Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar, Snehasis Mukherjee |
| 2024 | ICIP | Simsam: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation. | Chanda Grover Kamra, Indra Deep Mastan, Nitin Kumar, Debayan Gupta |
| 2023 | ICMI | Using Speech Patterns to Model the Dimensions of Teamness in Human-Agent Teams. | Emily Doherty, Cara A. Spencer, Lucca Eloy, Nitin Kumar, Rachel Dickler, Leanne M. Hirshfield |
| 2021 | CIT | DE Based Reduced-Order Modeling for Interval Modeling Doha Water Treatment Plant. | Veerpratap Meena, Nitin Kumar, Rakesh Kumar Lenka, Rabindra K. Barik, Vinay Pratap Singh |
| 2019 | ICIP | Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images. | Nitin Kumar, Sharat Chandran, Ajit V. Rajwade, Suyash P. Awate |
| 2017 | ICIP | Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images. | Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate |
| 2017 | MICCAI | Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection. | Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate |
| 2016 | AI | Salient Object Detection in Noisy Images. | Nitin Kumar, Maheep Singh, Mahesh Chandra Govil, Emmanuel S. Pilli, Ajay Jaiswal |
| 2016 | CIT | Personalized Terms Derivative: Semi-supervised Word Root Finder. | Nitin Kumar, Abhishek Pradhan |
| 2013 | IC3K | Text Simplification for Enhanced Readability. | Siddhartha Banerjee, Nitin Kumar, C. E. Veni Madhavan |
| 2012 | CIARP | A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose. | Ajay Jaiswal, Nitin Kumar, Ramesh K. Agrawal |
| 2005 | CBMS | A Practical Tool for Visualizing and Data Mining Medical Time Series. | Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana, Helga Van Herle |
| 2005 | DCOSS | Sensor Network Coverage Restoration. | Nitin Kumar, Dimitrios Gunopulos, Vana Kalogeraki |
| 2005 | ICDM | A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria. | Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, Michalis Vazirgiannis, Carlotta Domeniconi |
| 2005 | SDM | Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases. | Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana |
| 2005 | SSDBM | Assumption-Free Anomaly Detection in Time Series. | Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana |