Research
Deep Learning
- Convolution Neural Network Applications
Image/Video Enhancement
- Denoising
- Super-resolution
- Video Stabilization
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Whale Detection
- Objekt Detection
- Whale (Harbour Porpoise) Classification
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Drone Detection from Images/Video over 5G Networks
- Imagedata (RGB and Infrared) transfer from camera to computer via 5G-Campusnetz
- Detection of drones with deep learning
- Sub-project of the dtec.bw project – Digitale Sensor-2-Cloud Campus-Plattform
Supervised Thesis
Mahesh Sulugodu Manjunatha – Semantic Segmentation using Convolutional Neural Networks, Master Thesis
Chetan Mara – Ground Truth Data Generation for Image Segmentation with CNN, Student Project
Shashikant Kulkarni – Preprocessing Methods for Image Segmentation with CNN, Student Project
Savan Rangeggowda – Scene Segmentation with Convolutional Neural Networks, Master Thesis
Carl Henning Cabos – Application of Convolutional Neural Networks for Pitch Detection, Master Thesis
Chetan Mara – A Convolutional Neural Network for Video Stabilization, Master Thesis
Shashikant Kulkarni – Convolutional Neural Networks for Image and Video Compression, Master Thesis
Pascal Hampel – Classification of EMNIST Dataset with a Convolutional Neural Network, Bachelor Student Project
Aswin Sampath Kumar – Neural Network Architectures for the Calculation of Psychoaccoustic Metrics, Master Thesis
Pascal Hampel – Comparison of State-of-the-art Object Detectors for Airborne Use-cases, Bachelor Thesis
Subhashini Madhavan – Image Denoising using Deep Learning, Student Project
Elif Göksügür – Individualization of HRTFs with CNNs Based on Anthropometric Features, Master Thesis
Cem Aygün – Classification of Handwritten Numbers and Letters using Convolutional Neural Network, Student Project
Praveen Krishna Murthy – Deep Learning based Pitch Detection, Master Thesis
Prathima Krishna Subramanian – Noise Level Estimation in Images with Convolutional Neural Network, Student Project
Arunachalam Thirunavukkarasu – Speech Denoising using Convolutional Neural Network, Student Project
Lecture/Exercise
Multimedia Signal Processing
Publications / Conferences
- P. Bhattacharya, P. Nowak: Drone Detection and Tracking with YOLO and a Rule-based Method, in ArXiv, https://doi.org/10.48550/arXiv.2502.05292
- U. Zölzer, P. Nowak, P. Bhattacharya: MATLAB Competition : Audio Plug-In Development, 2024 AES Conference, Madrid, Spain
- P. Bhattacharya, P. Nowak, D. Ahlers, U. Zölzer: A Dataset of Infrared Images for Deep Learning based Drone Detection, in 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Bangkok, Thailand, 8-10 November, 2023
- D. Ahlers, P. Bhattacharya, P. Nowak, U. Zölzer: Shore Livecams: A Maritime Dataset for Deep Learning based Object Detection, in 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Bangkok, Thailand, 8-10 November, 2023
- E. Gerat, P. Bhattacharya, U. Zölzer: A Differentiable Digital Moog Filter for Machine Learning Applications, in 26th International Conference on Digital Audio Effects (DAFx23), Copenhagen, Denmark, 4-7 September, 2023
- P. Bhattacharya, P. Nowak, D. Ahlers, M. Holters, U. Zölzer: CNN based Drone Detection in Infrared Images, in dtec. bw – Band 1, Hamburg, Germany, 2022
- U. Zölzer, P. Nowak, P. Bhattacharya, Room Simulation, Digital Audio Signal Processing, 3rd Edition, Ch. 7, J. Wiley & Sons, 2022
- U. Zölzer, P. Bhattacharya, Audio Coding, Digital Audio Signal Processing, 3rd Edition, Ch. 9, J. Wiley & Sons, 2022
- P. Bhattacharya, P. Nowak, U. Zölzer, Machine Learning for Audio, Digital Audio Signal Processing, 3rd Edition, Ch. 11, J. Wiley & Sons, 2022
- P. Bhattacharya: Deep Learning for Image Enhancement, Universitätsbibliothek der HSU/UniBwH, Hamburg, Germany, May, 2022
- P. Bhattacharya, U. Zölzer: Attentive Inception Module based Convolutional Neural Network for Image Enhancement, Digital Image Computing: Techniques and Applications (DICTA), Melbourne, Australia, 29. Nov – 2. Dec, 2020
- P. Bhattacharya, P. Nowak, U. Zölzer: Optimization of cascaded parametric peak and shelving filters with backpropagation algorithm, 23rd International Conference on Digital Audio Effects (DAFx), Vienna, Austria, 9-11 September, 2020.
- P. Bhattacharya, U. Zölzer: Convolutional Neural Network with Inception Blocks for Image Compression Artifact Reduction, International Joint Conference on Neural Networks (IJCNN-WCCI), Glasgow, Scotland, 19-24 July, 2020.
- P. Bhattacharya, U. Zölzer: A Convolutional Neural Network with Two-Channel Input for Image Super-Resolution, International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July, 2019.
- P. Bhattacharya, S.Wulf, U. Zölzer: Detection of Harbour Porpoise with Low-level Feature Extraction and Deep Learning based Classification, 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Las Palmas de Gran Canaria, Spain, 26-29 November, 2018.
- P. Bhattacharya, J.Riechen, U. Zölzer: Infrared Image Enhancement in Maritime Environment with Convolutional Neural Networks, 13th International Conference on Computer Vision Theory and Applications, VISAPP (VISIGRAPP), Madeira, Portugal, 27-29 January, 2018.
- P. Bhattacharya, G. Simkus, C. de Obaldía, A. Kelm, U. Zölzer: Convolutional Neural Networks for Digital Signal Processing (Poster), LSA2017 – Lübeck Summer Academy on Medical Technology, July 2017, Lübeck, Germany.
- P. Rivera Benois, P. Bhattacharya, U. Zölzer: Derivation Technique for Headphone Transfer Functions Based on Sine Sweeps and Least Squares Minimization, Proceedings of the 45th International Congress and Exposition on Noise Control Engineering, INTER-NOISE, Hamburg, Germany, 21-24 August, 2016.
Letzte Änderung: 4. March 2025