December 01, 2015 conference-paper Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture IEEE International Conference on Computer Vision (ICCV) DOI: 10.1109/iccv.2015.304 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 2,918 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 Holistic image‐based analysis of damage on concrete surfaces—A multifaceted approach based on supervised machine learning 2024 Structural Concrete article Engineering Infrastructure Maintenance and Monitoring Open access cited by 2 patents 4 citations LEAN: graph-based pruning for convolutional neural networks by extracting longest chains 2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access 0 citations 2 results References 0