Aloimonos, J.
* 1995: Direct perception of three-dimensional motion from patterns of visual motion
Aloimonos, J.Y.[John Y.]
* 1990: Perspective Approximations
* 1990: Shading into texture and texture into shading: An active approach
Includes: Aloimonos, J.Y.[John Y.] Aloimonos, J.Y.[John Yiannis]
Aloimonos, Y.[Yi Fannis (John)]
* 1984: Direct Processing of Curvilinear Sensor Motion from a Sequence of Perspective Images
* 1984: Relationship Between Optical Flow and Surface Orientation, The
* 1985: Contour Orientation and Motion
* 1985: Shape from Texture
* 1986: Computer Vision
* 1986: Determining the 3-D Motion of a Rigid Planar Patch Without Correspondence, under Perspective Projection
* 1986: Determining the 3-D Motion of a Rigid Planar Patch Without Correspondence, under Perspective Projection, I. Planar Surfaces, II. Curved Surfaces
* 1986: Perception of Structure from Motion: I: Optic Flow vs. Discrete Displacements, II: Lower Bound Results
* 1986: Shape and 3-D Motion from Contour without Point to Point Correspondences: General Principles
* 1987: Active Vision
* 1987: Active Vision
* 1987: Closed Form Solution to the Structure from Motion Problem from Line Correspondences
* 1987: Finding Motion Parameters from Spherical Flow Fields (or the Advantages of Having Eyes in the Back of Your Head)
* 1987: Texture, Contour, Shape, and Motion
* 1988: Active Vision
* 1988: Combining Information In Low-Level Vision
* 1988: Finding Motion Parameters from Spherical Flow Fields (or the Advantages of Having Eyes in the Back of Your Head)
* 1988: Is Correspondence Necessary for the Perception of Structure from Motion?
* 1988: Non-) Rigid Motion Interpretation: A Regularized Approach
* 1988: Optimal Computing of Structure from Motion Using Point Correspondences in Two Frames
* 1988: Robust Computations of Intrinsic Images from Multiple Cues
* 1988: Shape from Patterns: Regularization
* 1988: Using Flow Field Divergence for Obstacle Avoidance: Towards Qualitative Vision
* 1988: Visual Shape Computation
* 1989: Image Understanding Research at the University of Maryland (January 1988-February 1989)
* 1989: Learning Early-Vision Computations
* 1989: Obstacle Avoidance Using Flow Field Divergence
* 1989: On the Kinetic Depth Effect
* 1989: Optimal Motion Estimation
* 1989: Unification and Integration of Visual Modules: An Extension of the Marr Paradigm
* 1989: Unified Theory of Structure from Motion, A
* 1989: Unifying Shading and Texture Through an Active Observer
* 1990: Correspondenceless Stereo and Motion: Planar Surfaces
* 1990: Purposive and Qualitative Active Vision
* 1990: Purposive and Qualitative Active Vision
* 1990: Robust, Correspondenceless, Translation-Determining Algorithm, A
* 1990: Structure from Motion Using Line Correspondences
* 1990: Unified Theory of Structure from Motion, A
* 1991: Computer Vision
* 1991: Multi-frame Approach to Visual Motion Perception, A
* 1991: Relative Depth from Motion Using Normal Flow: An Active and Purposive Solution
* 1991: Response to Ignorance, Myopia, and Naivete in Computer Vision Systems by R. C. Jain and T. O. Binford, A
* 1992: Active Egomotion Estimation: A Qualitative Approach
* 1992: Behavioral Visual Motion Analysis
* 1992: Coordinated Motion Planning: The Warehousman's Problem with Constraints on Free Space
* 1992: Exploratory Active Vision: Theory
* 1992: geometry of visual interception, The
* 1992: Object Recognition by a Robotic Agent: The Purposive Approach
* 1992: Optimal Visual Motion Estimation: A Note
* 1992: Perceptual Computational Advantages of Tracking
* 1992: Purposive, Qualitative, Active Vision
* 1992: Visual Motion Analysis under Interceptive Behavior
* 1993: Active Perception
* 1993: Active Vision Revisited
* 1993: Designing Visual Systems: Purposive Navigation
* 1993: Direct Motion Perception
* 1993: Exploratory Active Vision
* 1993: Maryland Progress in Image Understanding
* 1993: Probabilistic Analysis of Some Navigation Strategies in a Dynamic Environment
* 1993: Role of Fixation in Visual-Motion Analysis, The
* 1993: Visual Navigation
* 1993: Visual Navigation: Flies, Bees, and UGV's
* 1994: Estimating The Heading Direction Using Normal Flow
* 1994: How Normal Flow Constrains Relative Depth for an Active Observer
* 1994: Maryland Progress in Image Understanding
* 1994: Principles of Computer Vision
* 1994: Vision and Action
* 1994: What I Have Learned: Reply
* 1995: 3D Motion Representations in Visual Servo Control
* 1995: Directions of Motion Fields Are Hardly Ever Ambiguous
* 1995: Global Rigidity Constraints in Image Displacement Fields
* 1995: Information in the Direction of Image Flow, The
* 1995: Iso-Distortion Contours and Egomotion Estimation
* 1995: Qualitative Egomotion
* 1995: Qualitative Vision
* 1995: Seeing and Understanding: Representing the Visual World
* 1995: Vision and Action
* 1996: Algorithm-Independent Stability Analysis of Structure from Motion
* 1996: Directions of Motion Fields Are Hardly Ever Ambiguous
* 1996: Early Detection of Independent Motion from Active Control of Normal Image Flow Patterns
* 1996: Interaction Between 3D Shape and Motion: Theory and Applications
* 1996: Ordinal Representations of Visual Space
* 1996: Progress on Vision Through Learning
* 1996: Spatiotemporal Representations for Visual Navigation
* 1996: Towards a Theory of Direct Perception
* 1996: Visual Navigation: From Biological Systems to Unmanned Ground Vehicles
* 1997: Analysis of Reconstruction from Multiple Views
* 1997: Confounding of Translation and Rotation in Reconstruction from Multiple Views, The
* 1997: On the Geometry of Visual Correspondence
* 1997: Visual Space Distortion
* 1997: What Is Computed by Structure from Motion Algorithms?
* 1998: 3D Motion and Shape Representations in Visual Servo Control
* 1998: Ambiguity in Structure from Motion: Sphere Versus Plane
* 1998: Beyond the Epipolar Constraint: Integrating 3D Motion and Structure Estimation
* 1998: Changes in Surface Convexity and Topology Caused by Distortions of Stereoscopic Visual Space
* 1998: Directions of Motion Fields Are Hardly Ever Ambiguous
* 1998: Effects of Errors in the Viewing Geometry on Shape Estimation
* 1998: Geometry of Eye Design: Biology and Technology
* 1998: Ouchi Illusion as an Artifact of Biased Flow Estimation, The
* 1998: Self-Calibration from Image Derivatives
* 1998: Shape for Video: Beyond the Epipolar Constraint
* 1998: Simultaneous estimation of viewing geometry and structure
* 1998: What Is Computed by Structure from Motion Algorithms?
* 1998: Which Shape from Motion?
* 1999: Shape from Video
* 1999: Statistical Biases in Optic Flow
* 1999: Statistics of Optical Flow, The
* 1999: Structure from Motion: Beyond the Epipolar Constraint
* 2000: Complete Calibration of a Multi-camera Network
* 2000: Eyes from Eyes
* 2000: Multi-Camera Networks: Eyes from Eyes
* 2000: Observability of 3D Motion
* 2000: Statistics of Optical Flow: Implications for the Process of Correspondence in Vision, The
* 2000: Structure from Motion: Beyond the Epipolar Constraint
* 2000: Talking Heads: Introducing the tool of 3D motion fields in the study of action
* 2001: Eyes from Eyes: Analysis of Camera Design Using Plenoptic Video Geometry
* 2001: Geometry of Eye Design: Biology and Technology
* 2001: Multi-Modality Stereo with Varying Spatial, Temporal, and Spectral Resolution
* 2001: Spherical Eye from Multiple Cameras (Makes Better Models of the World), A
* 2001: Statistics Explains Geometrical Optical Illusions
* 2001: Statistics Explains Geometrical Optical Illusions
* 2001: Statistics of Optical Flow, The
* 2002: Eyes from Eyes: New Cameras for Structure from Motion
* 2002: Geometry and Statistics of Visual Space-Time
* 2002: Harmonic Computational Geometry: A new tool for visual correspondence
* 2002: hierarchy of cameras for 3D photography, A
* 2002: Polydioptric Cameras: New Eyes for Structure from Motion
* 2002: Rotations, Lines, and Multilinear Constraints
* 2002: Spatio-Temporal Stereo Using Multi-Resolution Subdivision Surfaces
* 2002: Visual space-time geometry: A tool for perception and the imagination
* 2003: Eye design in the plenoptic space of light rays
* 2003: Polydioptric camera design and 3D motion estimation
* 2004: hierarchy of cameras for 3D photography, A
* 2004: influence of shape on image correspondence, The
* 2004: Stereo Correspondence with Slanted Surfaces: Critical Implications of Horizontal Slant
* 2005: Motion segmentation using occlusions
* 2005: Shape and the Stereo Correspondence Problem
* 2006: Deformation and Viewpoint Invariant Color Histograms
* 2006: Integration of Visual and Inertial Information for Egomotion: A Stochastic Approach
* 2006: Probabilistic Framework for Correspondence and Egomotion, A
* 2006: Probabilistic Notion of Camera Geometry: Calibrated vs. Uncalibrated, A
* 2006: Probabilistic Notion of Correspondence and the Epipolar Constraint, A
* 2007: Language for Human Action, A
* 2007: Multiple View Image Reconstruction: A Harmonic Approach
* 2007: Roadmap to the Integration of Early Visual Modules, A
* 2009: Active Segmentation with Fixation
* 2009: Image Transformations and Blurring
* 2010: Code: Active Segmentation With Fixation
* 2010: Experimental Study of Color-Based Segmentation Algorithms Based on the Mean-Shift Concept, An
* 2011: Active scene recognition with vision and language
* 2012: Active Visual Segmentation
* 2014: Shadow free segmentation in still images using local density measure
* 2015: Cognitive Dialogue: A new model for vision implementing common sense reasoning, The
* 2015: Detection and Segmentation of 2D Curved Reflection Symmetric Structures
* 2015: Fast 2D border ownership assignment
* 2017: Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics
* 2017: Detecting Reflectional Symmetries in 3D Data Through Symmetrical Fitting
* 2018: Image Understanding using vision and reasoning through Scene Description Graph
* 2020: Learning Visual Motion Segmentation Using Event Surfaces
* 2022: DiffPoseNet: Direct Differentiable Camera Pose Estimation
Includes: Aloimonos, Y.[Yi Fannis (John)] Aloimonos, Y.[Yi-Fannis (John)] Aloimonos, Y. Aloimonos, Y.[Yiannis] Aloimonos, Y.[Yannis]
160 for Aloimonos, Y.
Aloimonos, Y.F.[Yi Fannis]
* 1990: Tracking in a complex visual environment
* 1991: On the Visual Mathematics of Tracking
* 1994: Medusa Synthesized
* 1996: Families of Stationary Patterns Producing Illusory Movement: Insights into the Visual System
* 1997: Families of Stationary Patterns Producing Illusory Movement: Insights into the Visual System
* 1998: Motion Segmentation for a Binocular Observer
* 1999: Independent Motion: The Importance of History
* 1999: Motion Segmentation: A Synergistic Approach
* 2000: Detecting Independent Motion: The Statistics of Temporal Continuity
* 2000: Ray Carving with Gradients and Motion
* 2004: Structure from Motion of Parallel Lines
* 2006: View-Invariant Modeling and Recognition of Human Actions Using Grammars
* 2007: Signals on Pencils of Lines
* 2008: Who killed the directed model?
* 2010: Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example
* 2010: Learning shift-invariant sparse representation of actions
* 2013: Action Attribute Detection from Sports Videos with Contextual Constraints
* 2013: Detection of Manipulation Action Consequences (MAC)
* 2014: Contour Motion Estimation for Asynchronous Event-Driven Cameras
* 2015: Contour Detection and Characterization for Asynchronous Event Sensors
* 2015: Grasp type revisited: A modern perspective on a classical feature for vision
* 2021: Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients
* 2021: Topology-Aware Non-Rigid Point Cloud Registration
* 2023: Forecasting Action Through Contact Representations From First Person Video
* 2023: Incorporating Visual Grounding In GCN For Zero-shot Learning Of Human Object Interaction Actions
* 2023: Therbligs in Action: Video Understanding through Motion Primitives
* 2024: Context in Human Action through Motion Complementarity
Includes: Aloimonos, Y.F.[Yi Fannis] Aloimonos, Y.F.[Yi-Fannis]
27 for Aloimonos, Y.F.
Aloimonous, Y.F.[Yi Fannis]
* 2023: SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water
Includes: Aloimonous, Y.F.[Yi Fannis] Aloimonous, Y.F.[Yi-Fannis]
Aloise, D.[Daniel]
* 2012: VNS heuristic for escaping local extrema entrapment in normalized cut clustering, A
* 2017: NP-Hardness of balanced minimum sum-of-squares clustering
* 2022: On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts
Aloisi, M.[Marco]
* 2021: 2019 Eruptive Activity at Stromboli Volcano: A Multidisciplinary Approach to Reveal Hidden Features of the Unexpected 3 July Paroxysm, The
Aloisio, G.[Giovanni]
* 2009: Near real-time parallel processing and advanced data management of SAR images in grid environments