Sivic, J.[Josef]
* 2003: Video google: A text retrieval approach to object matching in videos
* 2004: Object Level Grouping for Video Shots
* 2004: Video data mining using configurations of viewpoint invariant regions
* 2005: Discovering Objects and their Localization in Images
* 2005: Person Spotting: Video Shot Retrieval for Face Sets
* 2006: Finding people in repeated shots of the same scene
* 2006: Hello! My name is Buffy: Automatic Naming of Characters in TV Video
* 2006: Object Level Grouping for Video Shots
* 2006: Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
* 2006: Video Google: Efficient Visual Search of Videos
* 2007: Object retrieval with large vocabularies and fast spatial matching
* 2007: Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
* 2008: Creating and exploring a large photorealistic virtual space
* 2008: Efficient Visual Search for Objects in Videos
* 2008: Geometric LDA: A Generative Model for Particular Object Discovery
* 2008: Lost in quantization: Improving particular object retrieval in large scale image databases
* 2008: SIFT Flow: Dense Correspondence across Different Scenes
* 2008: Unsupervised discovery of visual object class hierarchies
* 2008: Video Google Demo
* 2009: Automatic Annotation of Human Actions in Video
* 2009: Efficient Visual Search of Videos Cast as Text Retrieval
* 2009: Get Out of my Picture! Internet-based Inpainting
* 2009: Taking the bite out of automated naming of characters in TV video
* 2009: Who are you? - Learning person specific classifiers from video
* 2010: Avoiding Confusing Features in Place Recognition
* 2010: Descriptor Learning for Efficient Retrieval
* 2010: Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space
* 2010: Non-uniform Deblurring for Shaken Images
* 2010: Recognizing human actions in still images: A study of bag-of-features and part-based representations
* 2011: Automatic alignment of paintings and photographs depicting a 3D scene
* 2011: Data-driven crowd analysis in videos
* 2011: Deblurring Shaken and Partially Saturated Images
* 2011: Density-aware person detection and tracking in crowds
* 2011: Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets
* 2011: Visual localization by linear combination of image descriptors
* 2012: Non-uniform Deblurring for Shaken Images
* 2012: People Watching: Human Actions as a Cue for Single View Geometry
* 2012: Scene Semantics from Long-Term Observation of People
* 2013: Finding Actors and Actions in Movies
* 2013: Learning and Calibrating Per-Location Classifiers for Visual Place Recognition
* 2013: Pose Estimation and Segmentation of People in 3D Movies
* 2013: Visual Place Recognition with Repetitive Structures
* 2014: Deblurring Shaken and Partially Saturated Images
* 2014: Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
* 2014: People Watching: Human Actions as a Cue for Single View Geometry
* 2014: Predicting Actions from Static Scenes
* 2014: Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
* 2014: Weakly Supervised Action Labeling in Videos under Ordering Constraints
* 2015: 24/7 Place Recognition by View Synthesis
* 2015: Is object localization for free? - Weakly-supervised learning with convolutional neural networks
* 2015: Linking Past to Present: Discovering Style in Two Centuries of Architecture
* 2015: On pairwise costs for network flow multi-object tracking
* 2015: Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies
* 2015: Visual Place Recognition with Repetitive Structures
* 2015: What Makes Paris Look Like Paris?
* 2016: Guest Editorial: Large Scale Visual Media Geo-Localization
* 2016: Guest Editorial: Video Recognition
* 2016: Learning and Calibrating Per-Location Classifiers for Visual Place Recognition
* 2016: NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
* 2016: Unsupervised Learning from Narrated Instruction Videos
* 2017: ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
* 2017: Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
* 2017: Convolutional Neural Network Architecture for Geometric Matching
* 2017: Joint Discovery of Object States and Manipulation Actions
* 2017: Learning from Video and Text via Large-Scale Discriminative Clustering
* 2017: Localizing Moments in Video with Natural Language
* 2017: Weakly-Supervised Learning of Visual Relations
* 2018: 24/7 Place Recognition by View Synthesis
* 2018: Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
* 2018: End-to-End Weakly-Supervised Semantic Alignment
* 2018: Guest Editorial: Best Papers from ICCV 2015
* 2018: InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
* 2018: Learning from Narrated Instruction Videos
* 2018: NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
* 2019: Convolutional Neural Network Architecture for Geometric Matching
* 2019: Cross-Task Weakly Supervised Learning From Instructional Videos
* 2019: D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
* 2019: Detecting Unseen Visual Relations Using Analogies
* 2019: Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video
* 2019: Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization
* 2020: CosyPose: Consistent Multi-view Multi-object 6d Pose Estimation
* 2020: Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions
* 2020: End-to-End Learning of Visual Representations From Uncurated Instructional Videos
* 2020: Learning Actionness via Long-range Temporal Order Verification
* 2021: Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
* 2021: Bilinear Image Translation for Temporal Analysis of Photo Collections
* 2021: InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
* 2021: Just Ask: Learning to Answer Questions from Millions of Narrated Videos
* 2021: Single-view robot pose and joint angle estimation via render & compare
* 2021: Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers
* 2021: Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions
* 2022: Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation
* 2022: Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos
* 2022: Focal Length and Object Pose Estimation via Render and Compare
* 2022: Long-Term Visual Localization Revisited
* 2022: Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos
* 2022: NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences
* 2022: TubeDETR: Spatio-Temporal Video Grounding with Transformers
* 2023: Language-Guided Music Recommendation for Video via Prompt Analogies
* 2023: Meta-Personalizing Vision-Language Models to Find Named Instances in Video
* 2023: Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
Includes: Sivic, J.[Josef] Sivic, J.
101 for Sivic, J.
Sivignon, I.
* 2001: Digital geometry fundaments: application to plane recognition
* 2002: From Digital Plane Segmentation to Polyhedral Representation
* 2004: Discrete analytical curve reconstruction without patches
* 2004: Discrete Surfaces Segmentation into Discrete Planes
* 2007: Computation of Binary Objects Sides Number using Discrete Geometry, Application to Automatic Pebbles Shape Analysis
* 2007: Reversible vectorisation of 3D digital planar curves and applications
* 2008: Robust decomposition of a digital curve into convex and concave parts
* 2009: Discrete Geometry for Computer Imagery
* 2009: Hierarchical Discrete Medial Axis for Sphere-Tree Construction
* 2009: On Three Constrained Versions of the Digital Circular Arc Recognition Problem
* 2009: What Does Digital Straightness Tell about Digital Convexity?
* 2010: Measure of circularity for parts of digital boundaries and its fast computation
* 2011: Faithful polygonal representation of the convex and concave parts of a digital curve
* 2011: Measure Of Straight Lines For Digital Contour Analysis
* 2011: Near-Linear Time Guaranteed Algorithm for Digital Curve Simplification Under the Fréchet Distance, A
* 2013: Optimal Covering of a Straight Line Applied to Discrete Convexity
* 2013: Walking in the Farey Fan to Compute the Characteristics of a Discrete Straight Line Subsegment
* 2014: Algorithms for Fast Digital Straight Segments Union
* 2016: Representation of Imprecise Digital Objects
* 2019: Average Curve of n Digital Curves
* 2020: Efficient distance transformation for path-based metrics
Includes: Sivignon, I. Sivignon, I.[Isabelle]
21 for Sivignon, I.
Siviter, D.
* 2008: Multicamera-multispectral video library: An algorithm development tool
* 2008: Real-time, multiple hot-target tracking and multi-spectral fusion
Siviter, J.
* 2008: Real-time mapping and navigation by fusion of multiple electro-optic sensors
Sivitskis, A.J.[Alexander J.]
* 2019: Detecting and Mapping Slag Heaps at Ancient Copper Production Sites in Oman