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University of Science and Technology
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Event cameras unlock robust gait recognition even in challenging low-light conditions, outperforming traditional cameras by separately modeling motion dynamics and static shape.
Fusing event data with global illumination unlocks significantly better low-light image enhancement, outperforming prior art by up to 1.24dB PSNR and 0.069 SSIM.
Linear transport flows between degraded and clean image domains enable fast, adaptable image restoration that outperforms existing methods in distortion-perception balance.
Forget slow, INR-based video super-resolution: 2D Gaussian Splatting now delivers state-of-the-art quality with a 3x speedup, even at extreme temporal scales.
