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A Radon Transform Based Approach for Extraction of Blood Vessels in Conjunctival Images., , , and . MICAI, volume 5317 of Lecture Notes in Computer Science, page 948-956. Springer, (2008)Adversarial Distortion for Learned Video Compression., , , and . CVPR Workshops, page 640-644. Computer Vision Foundation / IEEE, (2020)Differentiable bit-rate estimation for neural-based video codec enhancement., , and . PCS, page 379-383. IEEE, (2022)Painter: Teaching Auto-regressive Language Models to Draw Sketches., , , , , and . ICCV (Workshops), page 305-314. IEEE, (2023)Optimized learned entropy coding parameters for practical neural-based image and video compression., , and . CoRR, (2023)Optimized Learned Entropy Coding Parameters for Practical Neural-Based Image and Video Compression., , and . ICIP, page 661-665. IEEE, (2022)Segmentation of blood vessels in fundus color images by Radon transform and morphological reconstruction., , and . IWACI, page 522-526. IEEE, (2010)Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set., , , , , and . Trans. Mach. Learn. Res., (2023)Boosting neural video codecs by exploiting hierarchical redundancy., , , , and . CoRR, (2022)Parallelized Rate-Distortion Optimized Quantization Using Deep Learning., , , , and . MMSP, page 1-6. IEEE, (2020)