Bojan, V.
* 2004: Objective quality analysis of MPEG-1, MPEG-2 & Windows Media video
Bojan, V.K.[Vinoth Kumar]
* 2014: Performance analysis of EM, SVD, and SVM classifiers in classification of carcinogenic regions of medical images
* 2016: Earlier detection of cancer regions from MR image features and SVM classifiers
Bojanic, D.[David]
* 2020: Can Openpose Be Used as a 3d Registration Method for 3d Scans of Cultural Heritage Artifacts
* 2020: Smart Time-Multiplexing of Quads Solves the Multicamera Interference Problem
* 2022: Generalizable Human Pose Triangulation
Includes: Bojanic, D.[David] Bojanic, D.
Bojanic, L.[Lana]
* 2023: Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks
Bojanjac, D.[Dario]
* 2022: Deep Learning Approach for Object Classification on Raw and Reconstructed GBSAR Data
Bojanowski, J.S.[Jedrzej S.]
* 2014: Impact of Time Difference between Satellite Overpass and Ground Observation on Cloud Cover Performance Statistics, The
* 2015: Meteosat Land Surface Temperature Climate Data Record: Achievable Accuracy and Potential Uncertainties
* 2018: Performance Assessment of the COMET Cloud Fractional Cover Climatology across Meteosat Generations
* 2019: Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications
* 2022: Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms
* 2022: Integration of Sentinel-3 and MODIS Vegetation Indices with ERA-5 Agro-Meteorological Indicators for Operational Crop Yield Forecasting
Includes: Bojanowski, J.S.[Jedrzej S.] Bojanowski, J.S.[Jedrzej Stanislaw]
Bojanowski, P.
* 2013: Finding Actors and Actions in Movies
* 2014: Weakly Supervised Action Labeling in Videos under Ordering Constraints
* 2015: Weakly-Supervised Alignment of Video with Text
* 2016: Instance-Level Video Segmentation from Object Tracks
* 2016: Unsupervised Learning from Narrated Instruction Videos
* 2017: Learning from Video and Text via Large-Scale Discriminative Clustering
* 2018: Deep Clustering for Unsupervised Learning of Visual Features
* 2018: Learning from Narrated Instruction Videos
* 2019: Unsupervised Pre-Training of Image Features on Non-Curated Data
* 2021: Emerging Properties in Self-Supervised Vision Transformers
* 2021: Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
* 2022: Masked Siamese Networks for Label-Efficient Learning
* 2023: Co-training 2L Submodels for Visual Recognition
* 2023: ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training
* 2023: Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Includes: Bojanowski, P. Bojanowski, P.[Piotr]
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Bojariu, R.[Roxana]
* 2020: Drought Impacts on Vegetation in Southeastern Europe