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schweizerisch Überrascht sein Editor int j comput vis Steh stattdessen auf Mädchen Kies
Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications
Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring
Optical imaging for medical diagnosis based on active stereo vision and motion tracking
Adaptive imaging system with spatial light modulator for robust shape measurement of partially specular objects
Measuring and Predicting Object Importance
Publication List (Hans-Christian Hege) - ZIB
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization
Unique hue data and <fc>CIECAM</fc>02: A comment on <fc>X</fc>iao et al
A Super-Resolution Framework for High- Accuracy Multiview Reconstruction Bastian Goldlücke, Mathieu Aubry, Kalin Kolev & Da
Stereoscopic Scene Flow Computation for 3D Motion Understanding
Image Guided Reconstruction of Un-sampled Data: A Filling Technique for Cultural Heritage Models
PDF) Evaluation of Face Datasets as Tools for Assessing the Performance of Face Recognition Methods | Lior Shamir - Academia.edu
INT J COMPUT VIS - International Journal of Computer Vision
Learning Good Regions to Deblur Images
Editorial for the Special Issue on Photometric Analysis for Computer Vision
Diffusion-based three-dimensional reconstruction of complex surface using monocular vision
Learning Photometric Invariance for Object Detection
Frontiers | Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology
Do We Need More Training Data?
Learning Probabilistic Models for Contour Completion in Natural Images
PDF) A Wavelet Perspective on Variational Perceptually-Inspired Color Enhancement, Int J Comput Vis
A Computational Learning Theory of Active Object Recognition Under Uncertainty
An Image Segmentation model Using a Level Set Method Based on Improved Signed Pressure Force function SPF
PDF) A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes
A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model
Coding of Image Feature Descriptors for Distributed Rate-efficient Visual Correspondences
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