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Reeshad Khan

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2025
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Reeshad Khan, Ukash Nakarmi, John M. Gauch:
From Noise Estimation to Restoration: A Unified Diffusion and Bayesian Risk Approach for Unsupervised Denoising. VISIGRAPP (3): VISAPP 2025: 547-555
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Reeshad Khan, John Gauch:
TinyBEV: Cross Modal Knowledge Distillation for Efficient Multi Task Bird's Eye View Perception and Planning. CoRR abs/2509.18372 (2025)
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Reeshad Khan, John Gauch:
Learning to Sense for Driving: Joint Optics-Sensor-Model Co-Design for Semantic Segmentation. CoRR abs/2512.20815 (2025)
2024
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Ibsa Jalata, Reeshad Khan, Ukash Nakarmi:
Learning From Oversampling: A Systematic Exploitation of Oversampling to Address Data Scarcity Issues in Deep Learning- Based Magnetic Resonance Image Reconstruction. IEEE Access 12: 97621-97629 (2024)
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Reeshad Khan, John Gauch, Ukash Nakarmi:
Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising. CoRR abs/2407.15799 (2024)

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