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I am a PhD student in Machine Learning at Uppsala University. My research interest generally includes Machine Learning, Computer Vision, and Reinforcement Learning. And my recent works mainly focus on Probabilistic deep learning with application in computer vision.

balabala's Projects

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Config files for my GitHub profile.

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Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).

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[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.

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"Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

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Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).

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Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.

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[AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution

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