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Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach.

, , , , , , , , and . ACM Multimedia, page 1045-1054. ACM, (2023)

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Rate-Constrained 3D Surface Estimation From Noise-Corrupted Multiview Depth Videos., , , , , and . IEEE Trans. Image Processing, 23 (7): 3138-3151 (2014)MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report., , , , , , , , , and . CoRR, (2022)Dual-Camera Super-Resolution with Aligned Attention Modules., , , , and . ICCV, page 1981-1990. IEEE, (2021)Matching Low-Quality Photo to DSLR-Quality with Deep Convolutional Networks., , , and . AIMS, volume 10970 of Lecture Notes in Computer Science, page 43-54. Springer, (2018)Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching., , , , and . ICCV Workshops, page 878-886. IEEE Computer Society, (2017)Quadratic Video Interpolation., , , , and . NeurIPS, page 1645-1654. (2019)Image compression via sparse reconstruction., , , , , and . ICASSP, page 2025-2029. IEEE, (2014)Towards Real Scene Super-Resolution With Raw Images., , and . CVPR, page 1723-1731. Computer Vision Foundation / IEEE, (2019)StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching., , , , and . CVPR, page 12754-12763. Computer Vision Foundation / IEEE, (2020)Texture optimization for seamless view synthesis through energy minimization., , , , , and . ACM Multimedia, page 733-736. ACM, (2012)