Kays, R.
* 2013: Automated identification of animal species in camera trap images
* 2014: Deep convolutional neural network based species recognition for wild animal monitoring
* 2017: Object segmentation in the deep neural network feature domain from highly cluttered natural scenes
* 2018: Object detection from dynamic scene using joint background modeling and fast deep learning classification
* 2022: Investigations on Temporal Sampling and Patternless Frame Recovery for Asynchronous Display-Camera Communication
* 2022: reliable and unobtrusive approach to display area detection for imperceptible display camera communication, A
* 2023: Symbol Position Recovery for Optical Camera Communication with High-Density Matrix Codes
Includes: Kays, R. Kays, R.[Roland] Kays, R.[Rüdiger]
7 for Kays, R.
Kayser, D.[Daniel]
* 1978: Learning criterion and inductive behaviour
Kayser, H.[Hein]
* 2000: Anatomical Modeling with Fuzzy Implicit Surface Templates: Application to Automated Localization of the Heart and Lungs in Thoracic MR Volumes
Kayser, M.
* 2016: Automatic 3D Facial Landmarking Algorithm Using 2D Gabor Wavelets, An
* 2021: Broaden Your Views for Self-Supervised Video Learning
* 2022: CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
* 2023: NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
* 2023: Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors
Includes: Kayser, M. Kayser, M.[Maxime] Kayser, M.[Matthias]
Kayser, R.B.[Rafael Bloedow]
* 2021: Artificial Neural Network Model of Soil Heat Flux over Multiple Land Covers in South America
Kayser, R.H.B.[Rafael Henrique Bloedow]
* 2020: Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil