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SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations.

, , , , , , , , and . CoRR, (2021)

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AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results., , , , , , , , , and 12 other author(s). ICCV Workshops, page 3467-3475. IEEE, (2019)Noise Face Image Hallucination via Data-Driven Local Eigentransformation., , , , , and . PCM, volume 8879 of Lecture Notes in Computer Science, page 183-192. Springer, (2014)Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis., , , , and . CoRR, (2020)Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification., , , , and . IEEE Geosci. Remote. Sens. Lett., 14 (3): 404-408 (2017)Feature-guided Gaussian mixture model for image matching., , , and . Pattern Recognit., (2019)Image Super-resolution via Deep Aggregation Network., , and . ICASSP, page 1747-1751. IEEE, (2019)A super-resolution method for low-quality face image through RBF-PLS regression and neighbor embedding., , , , and . ICASSP, page 1253-1256. IEEE, (2012)Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery., , , and . IEEE Trans. Computational Imaging, (2020)Deep Segmentation Domain Adaptation Network With Weighted Boundary Constraint., , , , and . IEEE Access, (2019)Ensemble Super-Resolution With a Reference Dataset., , , , , and . IEEE Trans. Cybern., 50 (11): 4694-4708 (2020)