Czarlinska, A.[Alexandra]
* 2008: Event-Driven Visual Sensor Networks: Issues in Reliability
* 2008: On privacy and security in distributed visual sensor networks
Czarnecka, P.
* 2015: Accuracy assessment of modeling architectural structures and details using terrestrial laser scanning
Czarnecki, C.
* 2009: Simple Algorithm for Large-Scale Mapping of Evergreen Forests in Tropical America, Africa and Asia, A
Czarnecki, J.M.P.[Joby M. Prince]
* 2021: Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing
Czarnecki, K.
* 2017: Chirp Rate and Instantaneous Frequency Estimation: Application to Recursive Vertical Synchrosqueezing
* 2021: SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection
* 2023: FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs
* 2024: Object Re-Identification from Point Clouds
* 2024: SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling
Includes: Czarnecki, K. Czarnecki, K.[Krzysztof]
Czarnecki, W.[Witold]
* 1995: Permutational model of image texture
* 1996: Multiresolution Hybrid Neuro-Markovian Image Modeling and Segmentation, A
* 2010: Fast Distance Vector Field Extraction for Facial Feature Detection
* 2014: Time-Reversal Technique for SAR Focusing of Buried Targets: Theoretical improvements and practical limitations, The
Includes: Czarnecki, W.[Witold] Czarnecki, W. Czarnecki, W.[Wojciech]
Czarnogorska, M.
* 2014: Ground deformation monitoring using RADARSAT-2 DInSAR-MSBAS at the Aquistore CO2 storage site in Saskatchewan (Canada)
Czarnota, G.J.
* 2014: Categorizing Extent of Tumor Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy
* 2016: Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer
Czarnota, K.[Konrad]
* 2018: Interest Point Detectors Stability Evaluation on ApolloScape Dataset
* 2018: SConE: Siamese Constellation Embedding Descriptor for Image Matching
* 2020: SupernCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching
Czarnowski, I.[Ireneusz]
* 2010: Prototype selection algorithms for distributed learning
Czarnowski, J.
* 2017: Semantic Texture for Robust Dense Tracking
* 2018: CodeSLAM: Learning a Compact, Optimisable Representation for Dense Visual SLAM
* 2018: Learning to Solve Nonlinear Least Squares for Monocular Stereo
Includes: Czarnowski, J. Czarnowski, J.[Jan]
Czarnuch, S.[Stephen]
* 2016: Combinatorial Optimization for Human Body Tracking
* 2016: Performance Evaluation of 3D Keypoints and Descriptors