Zelnik Manor, L.[Lihi]
* 1998: Multi-Frame Alignment of Planes
* 1999: Multi-View Subspace Constraints on Homographies
* 2000: Multi-Frame Estimation of Planar Motion
* 2002: Multiview Constraints on Homographies
* 2004: Temporal Factorization vs. Spatial Factorization
* 2005: Beyond Pairwise Clustering
* 2005: Hybrid Models for Human Motion Recognition
* 2005: Squaring the Circles in Panoramas
* 2006: Automatic Discovery of Action Taxonomies from Multiple Views
* 2006: Free viewpoint action recognition using motion history volumes
* 2006: Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
* 2006: On Single-Sequence and Multi-Sequence Factorizations
* 2006: Statistical Analysis of Dynamic Actions
* 2007: Action Recognition from Arbitrary Views using 3D Exemplars
* 2007: Approximate Nearest Subspace Search with Applications to Pattern Recognition
* 2007: Non-Parametric Probabilistic Image Segmentation
* 2008: Unsupervised Learning of Categorical Segments in Image Collections
* 2008: walk through the web's video clips, A
* 2009: general framework for Approximate Nearest Subspace search, A
* 2010: Context-Aware Saliency Detection
* 2010: Posing to the Camera: Automatic Viewpoint Selection for Human Actions
* 2011: Approximate Nearest Subspace Search
* 2011: Dancing icons detection
* 2011: Incorporating temporal context in Bag-of-Words models
* 2012: Context-Aware Saliency Detection
* 2012: Icon scanning: Towards next generation QR codes
* 2012: On SIFTs and their scales
* 2012: Unsupervised Learning of Categorical Segments in Image Collections
* 2012: Viewpoint Selection for Human Actions
* 2013: Learning Video Saliency from Human Gaze Using Candidate Selection
* 2013: Saliency for image manipulation
* 2013: SIFTpack: A Compact Representation for Efficient SIFT Matching
* 2013: What Makes a Patch Distinct?
* 2014: How to Evaluate Foreground Maps
* 2014: OTC: A Novel Local Descriptor for Scene Classification
* 2015: Approximate nearest neighbor fields in video
* 2015: Hot or Not: Exploring Correlations between Appearance and Temperature
* 2017: SIFTing Through Scales
* 2017: Template Matching with Deformable Diversity Similarity
* 2018: 2018 PIRM Challenge on Perceptual Image Super-Resolution, The
* 2018: Contextual Loss for Image Transformation with Non-aligned Data, The
* 2018: Maintaining Natural Image Statistics with the Contextual Loss
* 2018: Modifying Non-local Variations Across Multiple Views
* 2018: Saliency Driven Image Manipulation
* 2019: Adversarial Feedback Loop
* 2019: Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks
* 2019: Saliency Driven Image Manipulation
* 2020: Graph Embedded Pose Clustering for Anomaly Detection
* 2021: Asymmetric Loss For Multi-Label Classification
* 2021: Semantic Diversity Learning for Zero-Shot Multi-label Classification
* 2022: Multi-label Classification with Partial Annotations using Class-aware Selective Loss
* 2022: PETA: Photo Albums Event Recognition using Transformers Attention
* 2024: Diverse Imagenet Models Transfer Better
Includes: Zelnik Manor, L.[Lihi] Zelnik-Manor, L.[Lihi] Zelnik-Manor, L.
53 for Zelnik Manor, L.
Zelniker, E.[Emanuel]
* 2005: Improving City Model Determination by using Road Detection from LIDAR Data
* 2007: Detection and Vectorization of Roads from Lidar Data
Zelniker, E.E.
* 2006: Maximum-likelihood estimation of circle parameters via convolution
* 2008: Global Abnormal Behaviour Detection Using a Network of CCTV Cameras
* 2009: Unified Bayesian Framework for Adaptive Visual Tracking, A
Includes: Zelniker, E.E. Zelniker, E.E.[Emanuel E.]
Zelnio, E.
* 2014: Sequential Framework for Image Change Detection, A
* 2014: Wide-Angle Synthetic Aperture Radar Imaging: Models and algorithms for anisotropic scattering
Zelnio, E.G.
* 1992: Understanding Synthetic Aperature Radar Images
* 1997: Introduction to the Special Issue on Automatic Target Detection and Recognition