Avidan, S.
* 1996: Rank 4 Constraint in Multiple (over 3) View Geometry, The
* 1996: Robust Recovery of Camera Rotation from Three Frames
* 1996: Robust Recovery of Camera Rotation from Three Frames
* 1996: Tensorial Transfer: Representation of N>3 Views of 3d Scenes
* 1997: Novel View Synthesis in Tensor Space
* 1997: Unifying Two-View and Three-View Geometry
* 1998: Non-Rigid Parallax for 3D Linear Motion
* 1998: Tensor Embedding of the Fundamental Matrix
* 1998: Threading Fundamental Matrices
* 1999: Trajectory Triangulation of Lines: Reconstruction of a 3D Point Moving Along a Line from a Monocular Image Sequence
* 1999: Trajectory Triangulation over Conic Sections
* 2000: Integrating Local Affine into Global Projective Images in the Joint Image Space
* 2000: Layer Extraction from Multiple Images Containing Reflections and Transparency
* 2000: On the Reprojection of 3D and 2D Scenes Without Explicit Model Selection
* 2000: Trajectory Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence
* 2001: Threading Fundamental Matrices
* 2002: EigenSegments: A Spatio-Temporal Decomposition of an Ensemble of Images
* 2002: Manifold pursuit: a new approach to appearance based recognition
* 2003: Subset selection for efficient SVM tracking
* 2004: Crowd detection in video sequences
* 2004: Joint feature-basis subset selection
* 2004: Probabilistic Multi-view Correspondence in a Distributed Setting with No Central Server
* 2004: Support Vector Tracking
* 2005: Ensemble Tracking
* 2005: Learning a Sparse, Corner-Based Representation for Time-varying Background Modeling
* 2006: Blind Vision
* 2006: Fast Human Detection Using a Cascade of Histograms of Oriented Gradients
* 2006: Generalized Spectral Bounds for Sparse LDA
* 2006: SpatialBoost: Adding Spatial Reasoning to AdaBoost
* 2006: Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms
* 2007: Centralized and Distributed Multi-view Correspondence
* 2007: Ensemble Tracking
* 2007: Fast Pixel/Part Selection with Sparse Eigenvectors
* 2007: Statistics of Infrared Images
* 2007: Synthetic Aperture Tracking: Tracking through Occlusions
* 2008: Boundary snapping for robust image cutouts
* 2008: Creating and exploring a large photorealistic virtual space
* 2008: patch transform and its applications to image editing, The
* 2008: Privacy Preserving Pattern Classification
* 2009: CG2Real: Improving the Realism of Computer Generated Images using a Large Collection of Photographs
* 2009: Mode-detection via median-shift
* 2010: eye for an eye: A single camera gaze-replacement method, An
* 2010: Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space
* 2010: Internet Vision
* 2010: Multiple Hypothesis Video Segmentation from Superpixel Flows
* 2010: Patch Transform, The
* 2010: probabilistic image jigsaw puzzle solver, A
* 2011: Coherency Sensitive Hashing
* 2011: Geometrically consistent stereo seam carving
* 2011: Tracking through scattered occlusion
* 2012: Locally Orderless Tracking
* 2012: Multi-video browsing and summarization
* 2012: Object retrieval and localization with spatially-constrained similarity measure and k-NN re-ranking
* 2012: Photo Sequencing
* 2012: Racing Bib Numbers Recognition
* 2012: Structure and motion from scene registration
* 2012: TreeCANN: k-d Tree Coherence Approximate Nearest Neighbor Algorithm
* 2013: DCSH: Matching Patches in RGBD Images
* 2013: FasT-Match: Fast Affine Template Matching
* 2013: Multiple histogram matching
* 2013: Space-Time Tradeoffs in Photo Sequencing
* 2013: Stereo Seam Carving a Geometrically Consistent Approach
* 2014: Extended Lucas-Kanade Tracking
* 2014: Photo Sequencing
* 2014: Semi-Global Matching: A Principled Derivation in Terms of Message Passing
* 2015: Best-Buddies Similarity for robust template matching
* 2015: Inverting RANSAC: Global model detection via inlier rate estimation
* 2015: Locally Orderless Tracking
* 2015: Peeking Template Matching for Depth Extension
* 2015: Real-time tracking-with-detection for coping with viewpoint change
* 2016: Coherency Sensitive Hashing
* 2016: Non-local Image Dehazing
* 2016: Semi global boundary detection
* 2017: Co-occurrence Filter
* 2017: Detecting moving regions in CrowdCam images
* 2017: FasT-Match: Fast Affine Template Matching
* 2018: Best-Buddies Similarity: Robust Template Matching Using Mutual Nearest Neighbors
* 2018: Guest Editorial: Vision and Computational Photography and Graphics
* 2018: Matching Pixels Using Co-occurrence Statistics
* 2019: Co-Occurrence Neural Network
* 2019: Learning to Sample
* 2020: Best Buddies Registration for Point Clouds
* 2020: Deep Image Compression Using Decoder Side Information
* 2020: Graph Embedded Pose Clustering for Anomaly Detection
* 2020: SampleNet: Differentiable Point Cloud Sampling
* 2020: Single Image Dehazing Using Haze-Lines
* 2021: DeepBBS: Deep Best Buddies for Point Cloud Registration
* 2021: DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
* 2021: Geometric Adversarial Attacks and Defenses on 3D Point Clouds
* 2021: Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
* 2022: Aggregating Layers for Deepfake Detection
* 2022: Physics Based Image Deshadowing Using Local Linear Model
* 2022: Transformaly: Two (Feature Spaces) Are Better Than One
* 2023: Normalizing Flows for Human Pose Anomaly Detection
* 2023: SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
* 2023: SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
* 2024: Taming Normalizing Flows
Includes: Avidan, S. Avidan, S.[Shai]
97 for Avidan, S.
Avidar, D.
* 2017: Local-to-Global Point Cloud Registration Using a Dictionary of Viewpoint Descriptors
Avidon, S.
* 2001: Support Vector Tracking
Avidor, G.[Gilad]
* 2010: adaptive algorithm for phase retrieval from high intensity images, An
Avidor, T.[Tomer]
* 2009: Method for Removal of Turbulence Disturbance from Video, Enabling Higher Level Applications, A