Discrete Circular Mapping for Computation of Zernike Moments. - Rajarshi Biswas; Sambhunath Biswas (PReMI, 2011)

Image Analysis through Shifted Orthogonal Polynomial Moments. - Rajarshi Biswas; Sambhunath Biswas (VISAPP (1), 2014)

Characterizing Deep Learning over Big Data (DLoBD) Stacks on RDMA-Capable Networks. - Xiaoyi Lu; Haiyang Shi; M. Haseeb Javed; Rajarshi Biswas; Dhabaleswar K. Panda 001 (Hot Interconnects, 2017)

Accelerating TensorFlow with Adaptive RDMA-Based gRPC. - Rajarshi Biswas; Xiaoyi Lu; Dhabaleswar K. Panda 001 (HiPC, 2018)

Designing a Micro-Benchmark Suite to Evaluate gRPC for TensorFlow: Early Experiences. - Rajarshi Biswas; Xiaoyi Lu; Dhabaleswar K. Panda 001 (CoRR, 2018)

DLoBD: A Comprehensive Study of Deep Learning over Big Data Stacks on HPC Clusters. - Xiaoyi Lu; Haiyang Shi; Rajarshi Biswas; M. Haseeb Javed; Dhabaleswar K. Panda 001 (IEEE Trans. Multi Scale Comput. Syst., 2018)

Improved Data Fusion for Multi-Sensor Tracking using a Reinforced Viterbi Algorithm. - Rajarshi Biswas; Akash S. Doshi; Akankshya Bhatta; Sibi Raj B. Pillai (NCC, 2019)

Automatic Judgement of Neural Network-Generated Image Captions. - Rajarshi Biswas; Aditya Mogadala; Michael Barz; Daniel Sonntag; Dietrich Klakow (SLSP, 2019)

Towards Explanatory Interactive Image Captioning Using Top-Down and Bottom-Up Features, Beam Search and Re-ranking. - Rajarshi Biswas; Michael Barz; Daniel Sonntag (Künstliche Intell., 2020)

Wind Profile Tracking in MST Radar Using Viterbi Data Association. - Akankshya Bhatta; Rajarshi Biswas; Sibi Raj B. Pillai; Tummalapalli Venkata Chandrasekhar Sarma (IEEE Trans. Geosci. Remote. Sens., 2020)

Improving German Image Captions Using Machine Translation and Transfer Learning. - Rajarshi Biswas; Michael Barz; Mareike Hartmann; Daniel Sonntag (SLSP, 2021)

Cryptanalysis of Boyen's attribute-based encryption scheme in TCC 2013. - Shweta Agrawal 001; Rajarshi Biswas; Ryo Nishimaki; Keita Xagawa; Xiang Xie; Shota Yamada 001 (Des. Codes Cryptogr., 2022)

Sewer-AI: Sustainable Automated Analysis of Real-World Sewer Videos Using DNNs. - Rajarshi Biswas; Marcel Mutz; Piyush Pimplikar; Noor Ahmed 003; Dirk Werth (ICPRAM, 2023)

A Study on Automatic Detection, Length and Mass Estimation of Fishes in Aqua Farming Environment. - Rajarshi Biswas; Rana Khonsari; Marcel Mutz; Dirk Werth (RTIP2R (1), 2023)

Automatic Detection and Spline-Based Pixel-Length Estimation of Fishes from Images. - Rajarshi Biswas; Marcel Mutz; Rana Khonsari; Dirk Werth (FICC (1), 2024)

Data Related Challenges to Deploying ML Systems in Production: An Example from Sewer Inspection. - Rajarshi Biswas; Vincent Nebel; Dirk Werth (FICC (1), 2024)

Garment Returns Prediction for AI-Based Processing and Waste Reduction in E-Commerce. - Marie Niederlaender; Aena Nuzhat Lodi; Soeren Gry; Rajarshi Biswas; Dirk Werth (ICAART (2), 2024)

Hallucinations in LLMs and Resolving Them: A Holistic Approach. - Rajarshi Biswas; Sourav Dutta; Dirk Werth (ICAART (3), 2025)

A Study on the Robustness of Object Detectors in Aqua-Farming. - Rajarshi Biswas; Om Khairate; Mohamed Salman; Dirk Werth (ICPRAM, 2025)

Towards Waste Reduction in E-Commerce: A Comparative Analysis of Machine Learning Algorithms and Optimisation Techniques for Garment Returns Prediction with Feature Importance Evaluation. - Marie Niederlaender; Saad Driouech; Soeren Gry; Aena Nuzhat Lodi; Rajarshi Biswas; Dirk Werth (SN Comput. Sci., 2025)