Iran Pour, S.
* 2019: Analysis of The Precipitation Climate Signal Using Empirical Mode Decomposition (emd) Over The Caspian Catchment Area
* 2019: Exploring The Potential of Full Waveform Airborne Lidar Features And Its Fusion With Rgb Image in Classification of a Sparsely Forested Area
* 2019: Investigation of The Correlation Between Grace Tws and Soil Moisture In Sarakhs Catchment
Irandegani, Z.
* 2019: Investigating Temporal and Spatial Effects of Urban Planning Variables On Crime Rate: a GWR and OLS Based Approach
Irani, B.[Behnam]
* 2019: Localizability Constraint-Based Path Planning Method for Autonomous Vehicles, A
Irani, G.B.[Geoffrey B.]
* 1990: Coherent correlation addition for increasing match information in scene matching navigation systems
Irani, K.B.
* 1972: approach to the optimum implementation of interactive display data structures, An
* 1988: methodology for solving problems: Problem Modeling and Heuristic Generation, A
Irani, M.
* 1990: Super resolution from image sequences
* 1991: Improving Resolution by Image Registration
* 1992: Detecting and Tracking Multiple Moving Objects Using Temporal Integration
* 1992: Image Sequence Enhancement Using Multiple Motions Analysis
* 1993: Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency
* 1993: Robust recovery of ego-motion
* 1994: Computing Occluding and Transparent Motions
* 1994: Recovery of Ego-Motion Using Image Stabilization
* 1995: Mosaic Based Representations of Video Sequences and Their Applications
* 1995: Parallax Geometry of Pairs of Points for 3D Scene Analysis
* 1995: Representation of Scenes from Collections of Images
* 1995: Video as an image data source: efficient representations and applications
* 1995: Video compression using mosaic representations
* 1996: Efficient representations of video sequences and their applications
* 1996: Parallax Geometry of Pairs of Points for 3D Scene Analysis
* 1996: Unified Approach to Moving Object Detection in 2D and 3D Scenes, A
* 1996: Unified Approach to Moving Object Detection in 2D and 3D Scenes, A
* 1997: Multi-Sensor Representation of Extended Scenes Using Multi-View Geometry
* 1997: Recovery of Ego-Motion Using Region Alignment
* 1997: Robust Multi-Sensor Image Alignment
* 1997: System for automatically aligning images to form a mosaic image
* 1997: Video Indexing Based on Mosaic Representations
* 1998: From Ordinal to Euclidean Reconstruction with Partial Scene Calibration
* 1998: From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications
* 1998: Multi-Frame Alignment of Planes
* 1998: Multi-Sensor Representation of Extended Scenes Using Multi-View Geometry
* 1998: Robust Multi-Sensor Image Alignment
* 1998: Unified Approach to Moving Object Detection in 2D and 3D Scenes, A
* 1998: Video Indexing Based on Mosaic Representations
* 1999: Method and apparatus for performing mosaic based image compression
* 1999: Method and system for image combination using a parallax-based technique
* 1999: Multi-Frame Optical Flow Estimation using Subspace Constraints
* 1999: Multi-View Subspace Constraints on Homographies
* 2000: Factorization with Uncertainty
* 2000: Method and apparatus for detecting moving objects in two- and three-dimensional scenes
* 2000: Multi-Frame Estimation of Planar Motion
* 2000: Step Towards Sequence-to-Sequence Alignment, A
* 2001: Alignment of Non-Overlapping Sequences
* 2001: Method and apparatus for performing global image alignment using any local match measure
* 2001: Method and apparatus for three-dimensional scene processing using parallax geometry of pairs of points
* 2001: Video Representation and Manipulation Using Mosaics
* 2002: Aligning Non-Overlapping Sequences
* 2002: Direct Recovery of Planar-Parallax from Multiple Frames
* 2002: Factorization with Uncertainty
* 2002: Increasing Space-Time Resolution in Video
* 2002: Multi-Frame Correspondence Estimation Using Subspace Constraints
* 2002: Multiview Constraints on Homographies
* 2002: Spatio-Temporal Alignment of Sequences
* 2002: What Does the Scene Look Like from a Scene Point?
* 2004: Separating Transparent Layers through Layer Information Exchange
* 2004: Space-time video completion
* 2004: Temporal Factorization vs. Spatial Factorization
* 2005: Actions as Space-Time Shapes
* 2005: Detecting Irregularities in Images and in Video
* 2005: Separating Transparent Layers of Repetitive Dynamic Behaviors
* 2005: Space-Time Behavior Based Correlation
* 2005: Space-Time Super-Resolution
* 2006: Automatic Discovery of Action Taxonomies from Multiple Views
* 2006: Feature-Based Sequence-to-Sequence Matching
* 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: Actions as Space-Time Shapes
* 2007: Matching Local Self-Similarities across Images and Videos
* 2007: Seeing the Invisible and Predicting the Unexpected
* 2007: Space-Time Behavior-Based Correlation - OR - How to Tell If Two Underlying Motion Fields Are Similar Without Computing Them?
* 2007: Space-Time Completion of Video
* 2008: In defense of Nearest-Neighbor based image classification
* 2008: Summarizing visual data using bidirectional similarity
* 2008: What Is a Good Image Segment? A Unified Approach to Segment Extraction
* 2009: Super-resolution from a single image
* 2010: Detecting and sketching the common
* 2010: Regenerative morphing
* 2011: Internal statistics of a single natural image
* 2011: Space-time super-resolution from a single video
* 2012: Clustering by Composition: Unsupervised Discovery of Image Categories
* 2013: Co-segmentation by Composition
* 2013: Nonparametric Blind Super-resolution
* 2013: Separating Signal from Noise Using Patch Recurrence across Scales
* 2014: Blind Deblurring Using Internal Patch Recurrence
* 2014: Clustering by Composition: Unsupervised Discovery of Image Categories
* 2014: Video Segmentation by Non-Local Consensus voting
* 2016: Needle-Match: Reliable Patch Matching under High Uncertainty
* 2017: Non-uniform Blind Deblurring by Reblurring
* 2018: Zero-Shot Super-Resolution Using Deep Internal Learning
* 2019: AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
* 2019: Blind visual inference by composition
* 2019: Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors
* 2019: InGAN: Capturing and Retargeting the DNA of a Natural Image
* 2020: Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning
* 2020: Semantic Pyramid for Image Generation
* 2020: SpeedNet: Learning the Speediness in Videos
* 2021: Explaining in Style: Training a GAN to explain a classifier in StyleSpace
* 2022: Combining Internal and External Constraints for Unrolling Shutter in Videos
* 2022: Diverse Generation from a Single Video Made Possible
* 2022: Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models
* 2023: Imagic: Text-Based Real Image Editing with Diffusion Models
* 2023: Teaching CLIP to Count to Ten
Includes: Irani, M. Irani, M.[Michal]
100 for Irani, M.
Irani, P.[Pourang]
* 2013: Enabling User Interactions with Video Contents
Irani, R.[Ramin]
* 2014: Contactless measurement of muscles fatigue by tracking facial feature points in a video
* 2015: Heartbeat Signal from Facial Video for Biometric Recognition
* 2015: Pain recognition using spatiotemporal oriented energy of facial muscles
* 2015: Quality-Aware Estimation of Facial Landmarks in Video Sequences
* 2015: Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition
* 2016: Facial video-based detection of physical fatigue for maximal muscle activity
* 2016: Heartbeat Rate Measurement from Facial Video
* 2016: Thermal super-pixels for bimodal stress recognition
* 2018: Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities
Includes: Irani, R.[Ramin] Irani, R.
9 for Irani, R.
Irani, S.[Sandy]
* 2005: Greedy Algorithm for Local Contrast Enhancement of Images
Iranmanesh, M.
* 2018: Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition
* 2018: Facial Attributes Guided Deep Sketch-to-Photo Synthesis
Iranmanesh, S.A.[Seyed Amir]
* 2013: Leakage suppression in human airway tree segmentation using shape optimization based on fuzzy connectivity method
Iranmanesh, S.M.
* 2018: Adaptive Forward Collision Warning Framework Design Based on Driver Distraction, An
* 2019: Style and Content Disentanglement in Generative Adversarial Networks
* 2020: Coupled generative adversarial network for heterogeneous face recognition
* 2020: Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
Includes: Iranmanesh, S.M. Iranmanesh, S.M.[Seyed Mehdi]
Irannejad, M.[Maziar]
* 2021: Sparse representation based intraframe and semi-intraframe video coding schemes for low bitrates
Iranpour, P.[Pooya]
* 2024: Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
Iranzo, A.[Alfredo]
* 2019: As-Built 3D Heritage City Modelling to Support Numerical Structural Analysis: Application to the Assessment of an Archaeological Remain