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Alexandru Brateanu I am currently a third-year student pursuing a BSc in Computer Science at the University of Manchester. I am collaborating with prof. Cosmin Ancuti on research projects around deep learning methods for image restoration and enhancement. I am open to collaborations, so feel free to contact me using my email address. Email / GitHub / Google Scholar / LinkedIn / ORCID |
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Publications |
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AKDT: Adaptive Kernel Dilation Transformer for Effective Image Denoising Alexandru Brateanu, Raul Balmez, Adrian Avram, Ciprian Orhei VISAPP 2025 Scitepress PDF / Code / Ranking Image denoising Transformer network with state-of-the-art synthetic noise removal capabilities. |
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Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer Attention Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Codruta Ancuti Sensors 2025 MDPI Paper Extended work on Kolmogorov-Arnold Networks for low-light image enhancement Transformers. |
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Kolmogorov-Arnold Networks in Transformer Attention for Low-Light Image Enhancement Alexandru Brateanu, Raul Balmez IEEE ISETC 2024 IEEE Paper Low-light Transformer leveraging the Kolmogorov-Arnold Representation Theorem. |
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DepthLux: Depthwise Separable Convolution Transformer Raul Balmez, Alexandru Brateanu IEEE ISETC 2024 IEEE Paper Efficient scalable Transformer for low-light image enhancement. |
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LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement Alexandru Brateanu, Raul Balmez, Adrian Avram, Ciprian Orhei, Cosmin Ancuti IEEE SPL 2025 – arXiv 2024 IEEE Paper / arXiv / PDF / Code / Ranking Most efficient high-ranking deep learning transformer-based network for low-light image enhancement. |