Snoeckx, J.
* 1999: Illumination invariant background extraction
Snoeij, P.[Paul]
* 2022: Utilising Sentinel-1's orbital stability for efficient pre-processing of sigma nought backscatter
Snoek, C.G.M.[Cees G. M.]
* 2006: Learned Lexicon-Driven Interactive Video Retrieval
* 2006: Lexicon-based Browsers for Searching in News Video Archives
* 2006: Mediamill: Advanced Browsing in News Video Archives
* 2006: Robust Scene Categorization by Learning Image Statistics in Context
* 2006: Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing, The
* 2007: Adding Semantics to Detectors for Video Retrieval
* 2007: Learned Lexicon-Driven Paradigm for Interactive Video Retrieval, A
* 2007: MediaMill: semantic video search using the RotorBrowser
* 2008: Balancing thread based navigation for targeted video search
* 2008: comparison of color features for visual concept classification, A
* 2008: Evaluation of color descriptors for object and scene recognition
* 2008: MediaMill: fast and effective video search using the forkbrowser
* 2008: Semantic indexing and retrieval of video
* 2009: MediaMill: guiding the user to results using the ForkBrowser
* 2010: Comparing compact codebooks for visual categorization
* 2010: Evaluating Color Descriptors for Object and Scene Recognition
* 2010: Today's and tomorrow's retrieval practice in the audiovisual archive
* 2010: Unsupervised multi-feature tag relevance learning for social image retrieval
* 2010: Visual-Concept Search Solved?
* 2011: Empowering Visual Categorization With the GPU
* 2011: Social negative bootstrapping for visual categorization
* 2012: All vehicles are cars: subclass preferences in container concepts
* 2012: Content-Based Analysis Improves Audiovisual Archive Retrieval
* 2012: Convex reduction of high-dimensional kernels for visual classification
* 2012: Fusing concept detection and geo context for visual search
* 2012: Harvesting Social Images for Bi-Concept Search
* 2012: Visual synonyms for landmark image retrieval
* 2013: Bootstrapping Visual Categorization With Relevant Negatives
* 2013: Codemaps: Segment, Classify and Search Objects Locally
* 2013: Fine-Grained Categorization by Alignments
* 2014: Action Localization with Tubelets from Motion
* 2014: Attributes Make Sense on Segmented Objects
* 2014: Conceptlets: Selective Semantics for Classifying Video Events
* 2014: COSTA: Co-Occurrence Statistics for Zero-Shot Classification
* 2014: Evaluating multimedia features and fusion for example-based event detection
* 2014: Fisher and VLAD with FLAIR
* 2014: Guest Editorial: Special Section on Socio-Mobile Media Analysis and Retrieval
* 2014: Locality in Generic Instance Search from One Example
* 2014: Recommendations for recognizing video events by concept vocabularies
* 2014: Special section on learning from multiple evidences for large scale multimedia analysis
* 2015: Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks
* 2015: APT: Action localization proposals from dense trajectories
* 2015: Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams
* 2015: Local Alignments for Fine-Grained Categorization
* 2015: Objects2action: Classifying and Localizing Actions without Any Video Example
* 2015: What do 15,000 object categories tell us about classifying and localizing actions?
* 2016: Exploring the Long Tail of Social Media Tags
* 2016: No spare parts: Sharing part detectors for image categorization
* 2016: Online Action Detection
* 2016: Segment-based models for event detection and recounting
* 2016: Special issue on weakly supervised learning
* 2016: Spot On: Action Localization from Pointly-Supervised Proposals
* 2016: Tag-based video retrieval by embedding semantic content in a continuous word space
* 2016: TagBook: A Semantic Video Representation Without Supervision for Event Detection
* 2016: Video Stream Retrieval of Unseen Queries using Semantic Memory
* 2017: Guest Editorial: Large-Scale Multimedia Data Retrieval, Classification, and Understanding
* 2017: Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions
* 2017: Tracking by Natural Language Specification
* 2017: Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels
* 2017: Video2vec Embeddings Recognize Events When Examples Are Scarce
* 2018: Actor and Action Video Segmentation from a Sentence
* 2018: Predicting Visual Features From Text for Image and Video Caption Retrieval
* 2018: Real-World Repetition Estimation by Div, Grad and Curl
* 2018: VideoLSTM convolves, attends and flows for action recognition
* 2019: Counting With Focus for Free
* 2019: Dance With Flow: Two-In-One Stream Action Detection
* 2019: New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval
* 2019: Pointly-Supervised Action Localization
* 2019: Repetition Estimation
* 2019: SILCO: Show a Few Images, Localize the Common Object
* 2019: Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres
* 2020: ActionBytes: Learning From Trimmed Videos to Localize Actions
* 2020: Actor-Transformers for Group Activity Recognition
* 2020: Cloth in the Wind: A Case Study of Physical Measurement Through Simulation
* 2020: Guess where? Actor-supervision for spatiotemporal action localization
* 2020: Latent Embedding Feedback and Discriminative Features for Zero-shot Classification
* 2020: Learning to Learn with Variational Information Bottleneck for Domain Generalization
* 2020: Localizing the Common Action Among a Few Videos
* 2020: Open cross-domain visual search
* 2020: Pixelated Semantic Colorization
* 2020: PointMixup: Augmentation for Point Clouds
* 2020: Searching for Actions on the Hyperbole
* 2021: Feature-Supervised Action Modality Transfer
* 2021: Few-Shot Transformation of Common Actions into Time and Space
* 2021: Motion-Augmented Self-Training for Video Recognition at Smaller Scale
* 2021: Object Priors for Classifying and Localizing Unseen Actions
* 2021: Quasibinary Classifier for Images with Zero and Multiple Labels
* 2021: Repetitive Activity Counting by Sight and Sound
* 2021: Safe Fakes: Evaluating Face Anonymizers for Face Detectors
* 2021: Social Fabric: Tubelet Compositions for Video Relation Detection
* 2021: Unsharp Mask Guided Filtering
* 2021: Variational Prototype Inference for Few-Shot Semantic Segmentation
* 2022: Audio-Adaptive Activity Recognition Across Video Domains
* 2022: BoxeR: Box-Attention for 2D and 3D Transformers
* 2022: How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
* 2022: How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?
* 2022: Less Than Few: Self-shot Video Instance Segmentation
* 2022: On Measuring and Controlling the Spectral Bias of the Deep Image Prior
* 2022: TubeR: Tubelet Transformer for Video Action Detection
* 2023: Attentional prototype inference for few-shot segmentation
* 2023: Bayesian Prompt Learning for Image-Language Model Generalization
* 2023: Detecting Objects with Context-Likelihood Graphs and Graph Refinement
* 2023: Memory-augmented Variational Adaptation for Online Few-shot Segmentation
* 2023: Order-preserving Consistency Regularization for Domain Adaptation and Generalization
* 2023: Query by Activity Video in the Wild
* 2023: Self-Guided Diffusion Models
* 2023: Self-Ordering Point Clouds
* 2023: SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
* 2023: Test of Time: Instilling Video-Language Models with a Sense of Time
* 2023: Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization
* 2024: Background no more: Action recognition across domains by causal interventions
* 2024: MetaKernel: Learning Variational Random Features With Limited Labels
Includes: Snoek, C.G.M.[Cees G. M.] Snoek, C.G.M. Snoek, C.G.M.[Cees G.M.] Snoek, C.G.M.[Cees G.M]
112 for Snoek, C.G.M.
Snoek, C.M.G.
* 2017: Deep Learning for Visual Understanding
* 2018: Deep Learning for Visual Understanding: Part 2
Snoek, J.[Jasper]
* 2006: Automated Detection of Unusual Events on Stairs
* 2009: Automated Detection of Unusual Events on Stairs
* 2010: Automatic segmentation of video to aid the study of faucet usability for older adults
* 2010: Water Flow Detection in a Handwashing Task
Snoek, L.[Lukas]
* 2023: Dynamic face imaging: a novel analysis framework for 4D social face perception and expression
Snoeren, P.
* 1997: 3D Shape Representation: Transforming Polygons into Voxels
* 2003: comparison of methods for mammogram registration, A
Snoeren, P.R.
* 1994: Extraction of 3D Shape from Optic Flow: A Geometric Approach
* 2004: Thickness Correction of Mammographic Images by Means of a Global Parameter Model of the Compressed Breast
* 2006: Volumetric breast density estimation from full-field digital mammograms
Snoeren, R.M.[Rudolph M.]
* 2010: Geometric averaging of X-ray signals in automatic exposure control
Snoeyink, J.
* 1994: Counting and Reporting Red/Blue Segment Intersections
* 2002: Algorithmic issues in modeling motion
* 2002: Coding with ASCII: compact, yet text-based 3D content
* 2004: Encoding volumetric grids for streaming isosurface extraction
* 2006: VisTRE: A Visualization Tool to Evaluate Errors in Terrain Representation
* 2008: Image Localization in Satellite Imagery with Feature-Based Indexing
Includes: Snoeyink, J. Snoeyink, J.[Jack]
Snoeyink, J.S.[Jack Scott]
* 1990: Stabbing parallel segments with a convex polygon