Manjunath Mulimani

Manjunath Mulimani

Postdoctoral Researcher

Publications

Last updated: 29 March 2026

You can find my Google Scholar profile here.

Peer-reviewed Journal Publications

2025

  1. Manjunath Mulimani, Annamaria Mesaros. “A Closer Look at Class-Incremental Learning for Multi-Label Audio Classification”, IEEE Transactions on Audio, Speech and Language Processing, vol. 33, pp. 1293-1306, IEEE

  2. Manjunath Mulimani, Spoorthy V., Shashidhar G. Koolagudi. “Acoustic Event and Scene Classification: A Review”, SN Computer Science, vol. 6, no. 54, Springer.

2023

  1. Spoorthy V., Manjunath Mulimani, Shashidhar G. Koolagudi. “Acoustic Scene Classification using Deep Fisher Network”, Digital Signal Processing, vol. 139, Elsevier.

2022

  1. Manjunath Mulimani, Ritika Nandi, Shashidhar G. Koolagudi. “Acoustic Scene Classification using Projection Kervolutional Neural Network”, Multimedia Tools and Applications, pp. 1-11, Springer.

  2. Sreetama Mukherjee, Manjunath Mulimani. “ComposeInStyle - Music composition with and without Style Transfer”, Expert Systems with Applications, vol. 191, Elsevier.

2021

  1. Jagruthi H, Kavitha C, Manjunath Mulimani. “Network Intrusion Detection using Fusion Features and Convolutional Bidirectional Recurrent Neural Network”, International Journal on Computer Application.

  2. Ritika Nandi, Manjunath Mulimani. “Detection of COVID-19 from X-rays using Hybrid Deep Learning Models”, Research on Biomedical Engineering, vol. 37, pp. 687-695, Springer.

2019

  1. Manjunath Mulimani, Shashidhar G. Koolagudi. “Extraction of MapReduce-based Features from Spectrograms for Audio-based Surveillance”, Digital Signal Processing, vol. 87, pp. 1-9, Elsevier.

  2. Manjunath Mulimani, Shashidhar G. Koolagudi. “Segmentation and Characterization of Acoustic Event Spectrograms using Singular Value Decomposition”, Expert Systems with Applications, vol. 120.

  3. Manjunath Mulimani, Shashidhar G. Koolagudi. “Robust Acoustic Event Classification using Fusion Fisher Vector features”, Applied Acoustics, vol. 155, pp. 130-138, Elsevier.

Peer-reviewed Conference Publications

2025

  1. Manjunath Mulimani, Annamaria Mesaros, “Universal Incremental Learning for Few-Shot Bird Sound Classification,” in Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) 2025, pp. 90–94.

  2. Manjunath Mulimani, Annamaria Mesaros, “Online incremental learning for audio classification using a pretrained audio model,” in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2025, pp. 1–5.

  3. Manjunath Mulimani, Annamaria Mesaros. “Domain-Incremental Learning for Audio Classification”, IEEE ICASSP, pp. 1-5.

  4. Ruchi Pandey, Manjunath Mulimani, Archontis Politis, Annamaria Mesaros. “Class-Incremental Learning for Sound Event Localization and Detection”, IEEE ICASSP Workshop, 2025, pp. 1-5.

2024

  1. Manjunath Mulimani, Annamaria Mesaros. “Acoustic Scene Classification Across Multiple Devices through Incremental Learning of Device-Specific Domains”, DCASE Workshop, 2024, pp. 81–85. (Best paper Award)

  2. Manjunath Mulimani, Annamaria Mesaros. “Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations”, IEEE EUSIPCO, 2024, pp. 96–100.

  3. Manjunath Mulimani, Annamaria Mesaros. “Class-Incremental Learning for Multi-label Audio Classification”, IEEE ICASSP, 2024, pp. 916–920.

2023

  1. Manjunath Mulimani, Annamaria Mesaros. “Incremental Learning of Acoustic Scenes and Sound Events”, 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2023.

2022

  1. Shantanu Sachdeva, Manjunath Mulimani. “Acoustic Scene Classification using Fusion of Features and Random Forest Classifier”, IEEE International Conference on Computing for Sustainable Global Development, 2022.

2021

  1. Ritika Nandi, Manjunath Mulimani. “Acoustic Scene Classification using Kervolutional-Based SubSpectralNet”, INTERSPEECH, 2021, pp. 561-565.

2020

  1. Spoorthy V., Manjunath Mulimani, Shashidhar G. Koolagudi. “Acoustic Scene Classification using Deep Learning Architectures”, IEEE International Conference for Convergence in Technology (I2CT), 2020.

  2. Manjunath Mulimani, Akash Kademani, Shashidhar G. Koolagudi. “A Deep Neural Network-Driven Features Learning Method for Polyphonic Acoustic Event Detection from Real-life Recordings”, IEEE ICASSP, 2020.

  3. Chundra Chur Chetterjee, Manjunath Mulimani, Shashidhar G. Koolagudi. “Polyphonic Sound Event Detection using Transposed Convolutional Recurrent Neural Network”, IEEE ICASSP, 2020, pp. 661-665.

2019

  1. Manjunath Mulimani, Shashidhar G. Koolagudi. “Locality-constrained Linear Coding based Fused Visual Features for Robust Acoustic Event Classification”, INTERSPEECH, 2019, pp. 2558-2562.

2018

  1. Manjunath Mulimani, Shashidhar G. Koolagudi. “Robust Acoustic Event Classification Using Bag-of-Visual-Words”, INTERSPEECH, 2018, pp. 3319-3322.

  2. Manjunath Mulimani, Shashidhar G. Koolagudi. “Acoustic Event Classification using Spectrogram Feature”, Region 10 Conference, TENCON, 2018, pp. 1460-1464, IEEE.

2017

  1. Manjunath Mulimani, Jahnavi UP, Shashidhar G. Koolagudi. “Acoustic Event Classification using Graph Signal”, Region 10 Conference, TENCON, 2017, pp. 1812-1816, IEEE.

  2. Aditya K. Kamath, A. Tarun Karthik, Leslie Monis, Manjunath Mulimani, Shashidhar G. Koolagudi. “Sobriety Testing Based on Thermal Infrared Images Using Convolutional Neural Networks”, Region 10 Conference, 2017, IEEE.

  3. Abburu, Vedasamhitha, Saumya Gupta, S. R. Rimitha, Manjunath Mulimani, and Shashidhar G. Koolagudi. “Currency recognition system using image processing”, Tenth International Conference on Contemporary Computing (IC3), 2017.

  4. Prashasthi, M., K. S. Shravya, Ankit Deepak, Manjunath Mulimani, and Koolagudi G. Shashidhar. “Image Processing Approach to Diagnose Eye Diseases”, Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2017.

  5. Jamadagni, Chirag, Abhijith Anilkumar, Kevin Thomas Mathew, Manjunath Mulimani, and Shashidhar Koolagudi. “Dynamic 3D graph visualizations in Julia”, Summer Computer Simulation Conference, 2017.

  6. Manjunath Mulimani, Bhandary Anjali, N. Ashwini, K. Nagadeeksha, and S. Jayashree. “NEBULA: Deployment of Cloud Using Open Source”, International Conference on Soft Computing, 2017.

Technical Reports

  1. Soham Tiwari, Manjunath Mulimani. “Evaluating the Robustness of You Only Hear Once (YOHO) Algorithm on Noisy Audios in the VOICe dataset”, NeurlPS Efficient Natural Language and Speech Processing, 2024.

  2. Manjunath Mulimani, and Shashidhar G. Koolagudi. “Acoustic scene classification using MFCC and MP features”, Detection and Classification of Acoustic Scenes and Events (DCASE), 2016.