Signal Processing and Machine Learning
Signal processing research in ECE involve algorithms for Image and Video processing, Signal processing for communication, machine learning, Compressive sensing, Graph theory.
Research Groups
- Representation Learning Lab (Dr. Prathosh A. P.)
- Signal and Information Processing Lab (Dr. Sundeep P Chepuri)
- Signal Processing for Communications Lab (Prof. Chandra R Murthy)
- Signal Processing for Wireless Communications Lab (SPWiCom) (Dr. Sudhan Majhi)
- Statistical Signal Processing Lab (Prof. K.V.S. Hari)
- Vision Lab (Dr. S P Arun)
- Visual Information Processing Lab (Dr. Rajiv Soundararajan)
Selected Recent Publications
- N. Somraj, A. Karanayil, and R. Soundararajan, “SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with Simpler Solutions,” in Proc. of SIGGRAPH Asia, Sydney, Australia, Dec 2023
- S. Roy, S. Mitra, S. Biswas, and R. Soundararajan, “Test Time Adaptation for Blind Image Quality Assessment,” in Proc. of IEEE International Conference on Computer Vision (ICCV), Paris, France, Oct 2023
- N. Somraj and R. Soundararajan, “ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields,” in Proc. of SIGGRAPH, Los Angeles, USA, Aug 2023
- N. C. Babu, V. Kannan, and R. Soundararajan, “No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images,” in Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, Jan 2023
- S. Malik and R. Soundararajan, “Semi-Supervised Learning for Low-Light Image Restoration through Quality Assisted Pseudo-Labeling,” in Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, Jan 2023
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Passi A & Arun SP (2022) The Bouba–Kiki effect is predicted by sound properties but not speech properties, Attention Perception and Psychophysics.
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[Invited Review] Arun SP (2022) Using compositionality to understand parts in whole objects, European Journal of Neuroscience, Trailblazers in Neuroscience series, 56:4378-92
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Pramod RT, Katti H & Arun SP (2022) Human peripheral blur is optimal for object recognition, Vision Research, 200: 108083
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A. Anand, C. R. Murthy, and R. Chopra, Impact of Mobility on the Downlink Performance of Cell-Free Massive MIMO Systems, Accepted, Physical Communication, Sep. 2023. pdf
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L. Yashvanth and C. R. Murthy, Performance Analysis of Intelligent Reflecting Surface Assisted Opportunistic Communications, IEEE Transactions on Signal Processing, vol. 72, pp. 2056-2070, Accepted Mar. 2023. pdf
- P. Kumar and S. Majhi, “UAV-Assisted Network Coded Cooperation by Using Height-Dependency Shaping Parameters in Nakagami-m Faded Channel,”in IEEE Access,2024.
- A. Kumar, M. S. Chaudhari and S. Majhi, “Automatic Modulation Classification for OFDM Systems Using bi-stream and Attention-based CNN-LSTM Model,”in IEEE Communications Letters,2024.