March 15, 2017 preprint Open access What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? arXiv (Cornell University) DOI: 10.48550/arxiv.1703.04977 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 2,919 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Discovering uncertainty: Bayesian constitutive artificial neural networks 2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access 37 citations Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification 2024 Expert Systems with Applications article Computer Science Video Surveillance and Tracking Methods Open access 14 citations Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation 2023 preprint Computer Science Medical Image Segmentation Techniques Open access 0 citations Diffusion models in medical imaging: A comprehensive survey 2023 Medical Image Analysis article Computer Science Generative Adversarial Networks and Image Synthesis cited by 3 patents 769 citations 4 results References 0