Zisselman, E.[Ev]
* 2019: Local Block Coordinate Descent Algorithm for the CSC Model, A
* 2020: Deep Residual Flow for Out of Distribution Detection
Zisserman, A.[Andrew]
* 1900: Change You Want to See (Now in 3D), The
* 1985: Surface Descriptions from Stereo and Shading
* 1985: Surface Descriptions from Stereo and Shading
* 1986: Invariant Surface Reconstruction Using Weak Continuity Constraints
* 1987: Knowledge Source for Describing Stereoscopically Viewed Textured Surfaces
* 1987: Localizing Discontinuities Using Weak Continuity Constraints
* 1987: Visual Reconstruction
* 1989: Information Available to a Moving Observer from Specularities, The
* 1989: Mutual Illumination
* 1989: Using a Mixed Wave-Diffusion Process to Elicit the Symmetry Set
* 1990: Invariance: A New Framework for Vision
* 1990: Projectively Invariant Representations Using Implicit Algebraic Curves
* 1990: Relative motion and pose from invariants
* 1990: Shape from Shading in the Light of Mutual Illumination
* 1990: Towards qualitative vision: motion parallax
* 1990: Transformational Invariance: A Primer
* 1991: Cooperating Motion Processes
* 1991: Invariant Descriptors for 3-D Object Recognition and Pose
* 1991: Projectively Invariant Representations Using Implicit Algebraic Curves
* 1991: Reflections on Shading
* 1991: Using Projective Invariants for Constant Time Library Indexing in Model Based Vision
* 1992: Affine and Projective Structure from Motion
* 1992: Camera Calibration Using Multiple Images
* 1992: Canonical Frames for Planar Object Recognition
* 1992: Efficient Model Library Access by Projectively Invariant Indexing Functions
* 1992: Geometric Invariance in Computer Vision
* 1992: Qualitative Surface Shape from Deformation of Image Curves
* 1992: Real-Time Visual Tracking for Surveillance and Path Planning
* 1992: Recognizing Rotationally Symmetric Surfaces from Their Outlines
* 1992: Relative Motion and Pose from Arbitrary Plane Curves
* 1992: Transformational Invariance: A Primer
* 1993: Affine-Invariant Contour Tracking with Automatic Control of Spatiotemporal Scale
* 1993: Applications of Invariance in Computer Vision
* 1993: Efficient Recognition of Rotationally Symmetric Surface and Straight Homogeneous Generalized Cylinders
* 1993: Efficient Recognition of Rotationally Symmetric Surface and Straight Homogeneous Generalized Cylinders
* 1993: Eliciting qualitative structure from image curve deformations
* 1993: Extracting Projective Structure from Single Perspective Views of 3D Point Sets
* 1993: Extracting Structure from an Affine View of a 3D Point Set with One or 2 Bilateral Symmetries
* 1993: Finding Point Correspondences in Motion Sequences Preserving Affine Structure
* 1993: Framework for Spatiotemporal Control in the Tracking of Visual Contours, A
* 1993: Seismic Time Section Analysis Using Machine Vision
* 1994: Distinctive representations for the recognition of curved surfaces using outlines and markings
* 1994: Euclidean Structure from Uncalibrated Images
* 1994: Extracting Structure from an Affine View of a 3D Point Set with One or 2 Bilateral Symmetries
* 1994: Extraction of events from 3D volumes of seismic data
* 1994: Identification of events from 3D volumes of seismic data
* 1994: Motion from Point Matches Using Affine Epipolar Geometry
* 1994: Navigation Using Affine Structure from Motion
* 1994: Using Global Consistency to Recognise Euclidean Objects with an Uncalibrated Camera
* 1994: Viewpoint-Invariant Representation of Generalized Cylinders Using the Symmetry Set
* 1995: 3D Motion Recovery via Affine Epipolar Geometry
* 1995: 3D Object Recognition Using Invariance
* 1995: Active Visual Navigation Using Non-Metric Structure
* 1995: Class-Based Grouping in Perspective Images
* 1995: Detection and Tracking of Independent Motion
* 1995: Metric Calibration of a Stereo Rig
* 1995: Planar Object Recognition Using Projective Shape Representation
* 1995: Robust Detection of Degenerate Configurations for the Fundamental Matrix
* 1995: Uncalibrated X-Ray Stereo Reconstruction
* 1995: Viewpoint-Invariant Representation of Generalized Cylinders Using the Symmetry Set
* 1996: 3D Model Acquisition from Extended Image Sequences
* 1996: Detecting and Tracking Linear Features Efficiently
* 1996: Detection and Tracking of Independent Motion
* 1996: Experimental Comparison of Appearance and Geometric Model Based Recognition, An
* 1996: Goal-Directed Video Metrology
* 1996: Motion Deblurring and Super-Resolution from an Image Sequence
* 1996: Object Representation in Computer Vision II
* 1996: Report on the 1996 International Workshop on Object Representation in Computer Vision
* 1996: Robust Parameterization and Computation of the Trifocal Tensor
* 1996: Self-Calibration from Image Triplets
* 1996: Semilocal Projective Invariants for the Recognition of Smooth Plane-Curves
* 1997: Automatic Line Matching Across Views
* 1997: Finding Point Correspondences in Motion Sequences Preserving Affine Structure
* 1997: Performance Characterization of Fundamental Matrix Estimation under Image Degradation
* 1997: plane measuring device, A
* 1997: Robust Parameterization and Computation of the Trifocal Tensor
* 1997: Sequential Updating of Projective and Affine Structure from Motion
* 1998: Automated Mosaicing with Super-resolution Zoom
* 1998: Automatic 3D Model Construction for Turn-Table Sequences
* 1998: Automatic camera recovery for closed or open image sequences
* 1998: Automatic Method for the Removal of Unwanted, Non-periodic Patterns from Forensic Images, An
* 1998: Computing 3D Euclidean Distance from a single View
* 1998: Concerning Bayesian Motion Segmentation, Model Averaging, Matching and the Trifocal Tensor
* 1998: Duality, Rigidity and Planar Parallax
* 1998: Geometric Grouping of Repeated Elements within Images
* 1998: geometry and matching of curves in multiple views, The
* 1998: Maintaining Multiple Motion Model Hypotheses over Many Views to Recover Matching and Structure
* 1998: Matching and Reconstruction from Widely Separated Views
* 1998: Metric Rectification for Perspective Images of Planes
* 1998: Planar Homologies as a Basis for Grouping and Recognition
* 1998: Quadric Reconstruction from Dual-Space Geometry
* 1998: Real-time Panoramic Mosaics and Augmented Reality
* 1998: Resolving Ambiguities in Auto-Calibration
* 1998: Robust Computation and Parametrization of Multiple View Relations
* 1998: Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix
* 1998: Wide Baseline Stereo Matching
* 1999: Automatic Line Matching and 3D Reconstruction of Buildings from Multiple Views
* 1999: Automatic Reconstruction of Piecewise Planar Models from Multiple Views
* 1999: Combining Scene and Auto-Calibration Constraints
* 1999: Creating Architectural Models from Images
* 1999: Improving Augmented Reality using Image and Scene Constraints
* 1999: Parallax Geometry of Smooth Surfaces in Multiple Views
* 1999: plane measuring device, A
* 1999: Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences, The
* 1999: Single View Metrology
* 2000: Geometry and Matching of Lines and Curves Over Multiple Views, The
* 2000: MLESAC: A New Robust Estimator with Application to Estimating Image Geometry
* 2000: Multibody Structure and Motion: 3-D Reconstruction of Independently Moving Objects
* 2000: Planar grouping for automatic detection of vanishing lines and points
* 2000: Shape from Texture: Homogeneity Revisited
* 2000: Single View Metrology
* 2000: Six Point Solution for Structure and Motion, A
* 2000: Stereo Autocalibration From One Plane
* 2000: Super-resolution Enhancement of Text Image Sequences
* 2001: Automated 3D Camera Tracking: looking backwards and forwards
* 2001: Super-Resolution from Multiple Views Using Learnt Image Models
* 2001: Viewpoint Invariant Texture Matching and Wide Baseline Stereo
* 2002: Automated reconstruction from multiple photographs
* 2002: Automated Scene Matching in Movies
* 2002: Bayesian Estimation of Layers from Multiple Images
* 2002: Classifying Images of Materials: Achieving Viewpoint and Illumination Independence
* 2002: Minimal Projective Reconstruction for Combinations of Points and Lines in Three Views
* 2002: Model selection for automated reconstruction from multiple views
* 2002: Multi-view Matching for Unordered Image Sets, or How Do I Organize My Holiday Snaps?
* 2002: New Techniques for Automated Architectural Reconstruction from Photographs
* 2002: On Affine Invariant Clustering and Automatic Cast Listing in Movies
* 2002: Single Axis Geometry by Fitting Conics
* 2003: Automated location matching in movies
* 2003: Automatic Camera Tracking
* 2003: Geometry of single axis motions using conic fitting
* 2003: Image-Based Rendering Using Image-Based Priors
* 2003: Joint manifold distance: a new approach to appearance based clustering
* 2003: Learning epipolar geometry from image sequences
* 2003: Linear auto-calibration for ground plane motion
* 2003: Object class recognition by unsupervised scale-invariant learning
* 2003: Projective Reconstruction of Surfaces of Revolution
* 2003: Shape recognition with edge-based features
* 2003: Texture classification: are filter banks necessary?
* 2003: Video google: A text retrieval approach to object matching in videos
* 2004: Affine Invariant Salient Region Detector, An
* 2004: Augmenting images of non-rigid scenes using point and curve correspondences
* 2004: Automated Person Identification in Video
* 2004: Automated visual identification of characters in situation comedies
* 2004: Direct Estimation of Non-Rigid Registration
* 2004: Estimating illumination direction from textured images
* 2004: Extending Pictorial Structures for Object Recognition
* 2004: Guest editorial
* 2004: Human Detection Based on a Probabilistic Assembly of Robust Part Detectors
* 2004: Linguistic Feature Vector for the Visual Interpretation of Sign Language, A
* 2004: Minimal Projective Reconstruction for Combinations of Points and Lines in Three Views
* 2004: Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition
* 2004: Multiple View Geometry in Computer Vision
* 2004: Object Level Grouping for Video Shots
* 2004: Unifying statistical texture classification frameworks
* 2004: Video data mining using configurations of viewpoint invariant regions
* 2004: Visual Category Filter for Google Images, A
* 2005: Automated detection and identification of persons in video using a coarse 3D head model and multiple texture maps
* 2005: Automatic Face Recognition for Film Character Retrieval in Feature-Length Films
* 2005: Comparison of Affine Region Detectors, A
* 2005: Discovering Objects and their Localization in Images
* 2005: Identifying Individuals in Video by Combining Generative and Discriminative Head Models
* 2005: Image-Based Rendering Using Image-Based Priors
* 2005: Learning Layered Motion Segmentation of Video
* 2005: Learning Object Categories from Google's Image Search
* 2005: Obj Cut
* 2005: Person Spotting: Video Shot Retrieval for Face Sets
* 2005: Sparse Object Category Model for Efficient Learning and Exhaustive Recognition, A
* 2005: Statistical Approach to Texture Classification from Single Images, A
* 2005: Strike a Pose: Tracking People by Finding Stylized Poses
* 2005: Tracking People and Recognizing Their Activities
* 2006: Boundary-Fragment-Model for Object Detection, A
* 2006: Dataset Issues in Object Recognition
* 2006: Editorial: IJCV Special Issue: Vision and Modelling of Dynamic Scenes
* 2006: Fusing shape and appearance information for object category detection
* 2006: Hello! My name is Buffy: Automatic Naming of Characters in TV Video
* 2006: Incremental learning of object detectors using a visual shape alphabet
* 2006: Learning Class-Specific Edges for Object Detection and Segmentation
* 2006: Object Category Specific MRF for Segmentation, An
* 2006: Object Level Grouping for Video Shots
* 2006: Optimizing and Learning for Super-resolution
* 2006: Regression and Classification Approaches to Eye Localization in Face Images
* 2006: Scene Classification Via pLSA
* 2006: Single View Reconstruction of Curved Surfaces
* 2006: Single-Histogram Class Models for Image Segmentation
* 2006: Solving Markov Random Fields using Second Order Cone Programming Relaxations
* 2006: Sparse Object Category Model for Efficient Learning and Complete Recognition, A
* 2006: Toward Category-Level Object Recognition
* 2006: Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
* 2006: Video Google: Efficient Visual Search of Videos
* 2006: Visual Vocabulary for Flower Classification, A
* 2007: Delving into the whorl of flower segmentation
* 2007: Exemplar Model for Learning Object Classes, An
* 2007: Harvesting Image Databases from the Web
* 2007: Image Classification using Random Forests and Ferns
* 2007: Invariant Large Margin Nearest Neighbour Classifier, An
* 2007: Object retrieval with large vocabularies and fast spatial matching
* 2007: Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize?
* 2007: PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results, The
* 2007: Representing shape with a spatial pyramid kernel
* 2007: Scalable near identical image and shot detection
* 2007: Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
* 2007: Tracking People by Learning Their Appearance
* 2007: Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
* 2007: Who are you? Real-time person identification
* 2008: Automated Flower Classification over a Large Number of Classes
* 2008: Discriminative learned dictionaries for local image analysis
* 2008: Efficient Visual Search for Objects in Videos
* 2008: Geometric LDA: A Generative Model for Particular Object Discovery
* 2008: Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
* 2008: Learning Layered Motion Segmentations of Video
* 2008: Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts
* 2008: Lost in quantization: Improving particular object retrieval in large scale image databases
* 2008: Near Duplicate Image Detection: min-Hash and tf-idf Weighting
* 2008: Object Class Segmentation using Random Forests
* 2008: Object Mining Using a Matching Graph on Very Large Image Collections
* 2008: Progressive search space reduction for human pose estimation
* 2008: Scene Classification Using a Hybrid Generative/Discriminative Approach
* 2008: Texture classification with minimal training images
* 2008: University of Oxford video retrieval system
* 2008: Unsupervised discovery of visual object class hierarchies
* 2008: Video Google Demo
* 2009: Automatic retrieval of visual continuity errors in movies
* 2009: Efficient discriminative learning of parts-based models
* 2009: Efficient retrieval of deformable shape classes using local self-similarities
* 2009: Efficient Visual Search of Videos Cast as Text Retrieval
* 2009: Get Out of my Picture! Internet-based Inpainting
* 2009: Learning sign language by watching TV (using weakly aligned subtitles)
* 2009: Multiple kernels for object detection
* 2009: Non-local sparse models for image restoration
* 2009: Pose search: Retrieving people using their pose
* 2009: Statistical Approach to Material Classification Using Image Patch Exemplars, A
* 2009: Subtitle-free Movie to Script Alignment
* 2009: Taking the bite out of automated naming of characters in TV video
* 2009: Who are you? - Learning person specific classifiers from video
* 2010: Delving deeper into the whorl of flower segmentation
* 2010: Descriptor Learning for Efficient Retrieval
* 2010: Efficient Additive Kernels via Explicit Feature Maps
* 2010: Efficient image retrieval for 3d structures
* 2010: Finding Nemo: Deformable object class modelling using curve matching
* 2010: Generalized Rbf feature maps for Efficient Detection
* 2010: Geodesic star convexity for interactive image segmentation
* 2010: High Five: Recognising human interactions in TV shows
* 2010: Illuminance Flow Estimation by Regression
* 2010: Learning Object Categories From Internet Image Searches
* 2010: Non-uniform Deblurring for Shaken Images
* 2010: OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
* 2010: Pascal Visual Object Classes (VOC) Challenge, The
* 2011: BiCoS: A Bi-level co-segmentation method for image classification
* 2011: Deblurring Shaken and Partially Saturated Images
* 2011: devil is in the details: An evaluation of recent feature encoding methods, The
* 2011: Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets
* 2011: Hand detection using multiple proposals
* 2011: Harvesting Image Databases from the Web
* 2011: Here's looking at you, kid. Detecting people looking at each other in videos
* 2011: Humanising GrabCut: Learning to segment humans using the Kinect
* 2011: Learning equivariant structured output SVM regressors
* 2011: Smooth object retrieval using a bag of boundaries
* 2011: Tabula rasa: Model transfer for object category detection
* 2011: truth about cats and dogs, The
* 2011: Upper Body Detection and Tracking in Extended Signing Sequences
* 2012: 2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
* 2012: Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts
* 2012: Cats and dogs
* 2012: Descriptor Learning Using Convex Optimisation
* 2012: Efficient Additive Kernels via Explicit Feature Maps
* 2012: Enhancing Exemplar SVMs using Part Level Transfer Regularization
* 2012: Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators
* 2012: Latent SVMs for Human Detection with a Locally Affine Deformation Field
* 2012: Multiple queries for large scale specific object retrieval
* 2012: Name that sculpture
* 2012: Non-uniform Deblurring for Shaken Images
* 2012: Self-similar Sketch
* 2012: Sparse kernel approximations for efficient classification and detection
* 2012: Structured Learning of Human Interactions in TV Shows
* 2012: Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking
* 2012: Three things everyone should know to improve object retrieval
* 2012: TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification
* 2012: Video retrieval by mimicking poses
* 2012: VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval
* 2013: All About VLAD
* 2013: Blocks That Shout: Distinctive Parts for Scene Classification
* 2013: Discriminative Sub-categorization
* 2013: Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts
* 2013: Fisher Vector Faces in the Wild
* 2013: Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation
* 2013: Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences)
* 2013: Learning to Detect Partially Overlapping Instances
* 2013: Of Gods and Goats: Weakly Supervised Learning of Figurative Art
* 2013: Symbiotic Segmentation and Part Localization for Fine-Grained Categorization
* 2013: Towards on-the-fly Large Scale Video Search
* 2014: Action Recognition From Weak Alignment of Body Parts
* 2014: Automatic and Efficient Human Pose Estimation for Sign Language Videos
* 2014: Compact and Discriminative Face Track Descriptor, A
* 2014: Deblurring Shaken and Partially Saturated Images
* 2014: Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos
* 2014: Deep Features for Text Spotting
* 2014: Detecting People Looking at Each Other in Videos
* 2014: DisLocation: Scalable Descriptor Distinctiveness for Location Recognition
* 2014: Domain-Adaptive Discriminative One-Shot Learning of Gestures
* 2014: Efficient On-the-fly Category Retrieval Using ConvNets and GPUs
* 2014: Extremely Low Bit-Rate Nearest Neighbor Search Using a Set Compression Tree
* 2014: Immediate, Scalable Object Category Detection
* 2014: Improving Human Action Recognition Using Score Distribution and Ranking
* 2014: In Search of Art
* 2014: Interactive Object Counting
* 2014: Learning Local Feature Descriptors Using Convex Optimisation
* 2014: Multi-Task Multi-Sample Learning
* 2014: Re-presentations of Art Collections
* 2014: Return of the Devil in the Details: Delving Deep into Convolutional Nets
* 2014: Seeing the Arrow of Time
* 2014: Speeding up Convolutional Neural Networks with Low Rank Expansions
* 2014: State of the Art: Object Retrieval in Paintings using Discriminative Regions, The
* 2014: Talking Heads: Detecting Humans and Recognizing Their Interactions
* 2014: Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries
* 2014: Triangulation Embedding and Democratic Aggregation for Image Search
* 2014: Upper Body Pose Estimation with Temporal Sequential Forests
* 2014: Visual Vocabulary with a Semantic Twist
* 2015: Deep Face Recognition
* 2015: Face Painting: querying art with photos
* 2015: Flowing ConvNets for Human Pose Estimation in Videos
* 2015: Human pose search using deep poselets
* 2015: On-the-fly learning for visual search of large-scale image and video datasets
* 2015: Part level transfer regularization for enhancing exemplar SVMs
* 2015: Pascal Visual Object Classes Challenge: A Retrospective, The
* 2016: 3D Shape Attributes
* 2016: Art of Detection, The
* 2016: Convolutional Two-Stream Network Fusion for Video Action Recognition
* 2016: Counting in the Wild
* 2016: Faces in Places: compound query retrieval
* 2016: Lip Reading in the Wild
* 2016: Out of Time: Automated Lip Sync in the Wild
* 2016: Personalizing Human Video Pose Estimation
* 2016: Reading Text in the Wild with Convolutional Neural Networks
* 2016: Synthetic Data for Text Localisation in Natural Images
* 2017: Detect to Track and Track to Detect
* 2017: Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning
* 2017: Guest Editorial: Best of CVPR 2015
* 2017: Human pose search using deep networks
* 2017: Interferences in Match Kernels
* 2017: Lip Reading Sentences in the Wild
* 2017: Look, Listen and Learn
* 2017: Multi-Task Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring
* 2017: Multi-task Self-Supervised Visual Learning
* 2017: Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
* 2017: Recurrent Human Pose Estimation
* 2017: Template adaptation for face verification and identification
* 2018: 3D Surface Reconstruction by Pointillism
* 2018: 3D Surface Reconstruction by Pointillism
* 2018: Class-Agnostic Counting
* 2018: Compact Deep Aggregation for Set Retrieval
* 2018: Comparator Networks
* 2018: From Same Photo: Cheating on Visual Kinship Challenges
* 2018: GhostVLAD for Set-Based Face Recognition
* 2018: Learnable PINs: Cross-modal Embeddings for Person Identity
* 2018: Learning and Using the Arrow of Time
* 2018: Massively Parallel Video Networks
* 2018: NightOwls: A Pedestrians at Night Dataset
* 2018: Objects that Sound
* 2018: Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching
* 2018: Template adaptation for face verification and identification
* 2018: Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
* 2018: VGGFace2: A Dataset for Recognising Faces across Pose and Age
* 2018: What have We Learned from Deep Representations for Action Recognition?
* 2018: X2Face: A Network for Controlling Face Generation Using Images, Audio, and Pose Codes
* 2019: Controllable Attention for Structured Layered Video Decomposition
* 2019: Count, Crop and Recognise: Fine-Grained Recognition in the Wild
* 2019: EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition
* 2019: Exploiting Temporal Context for 3D Human Pose Estimation in the Wild
* 2019: From Images to 3D Shape Attributes
* 2019: Geometric Approach to Obtain a Bird's Eye View From an Image, A
* 2019: Kinetics Human Action Video Dataset, The
* 2019: LAEO-Net: Revisiting People Looking at Each Other in Videos
* 2019: Learning to Discover Novel Visual Categories via Deep Transfer Clustering
* 2019: Learning to Predict 3D Surfaces of Sculptures from Single and Multiple Views
* 2019: Self-Supervised Learning of Class Embeddings from Video
* 2019: Temporal Cycle-Consistency Learning
* 2019: Video Action Transformer Network
* 2019: Video Representation Learning by Dense Predictive Coding
* 2019: Visual Centrifuge: Model-Free Layered Video Representations, The
* 2019: You Said That?: Synthesising Talking Faces from Audio
* 2020: Adaptive Text Recognition Through Visual Matching
* 2020: Amplifying Key Cues for Human-object-interaction Detection
* 2020: Automated Video Face Labelling for Films and TV Material
* 2020: Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
* 2020: BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using Mouthing Cues
* 2020: Condensed Movies: Story Based Retrieval with Contextual Embeddings
* 2020: Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
* 2020: Deep Insights into Convolutional Networks for Video Recognition
* 2020: End-to-End Learning of Visual Representations From Uncurated Instructional Videos
* 2020: Memory-augmented Dense Predictive Coding for Video Representation Learning
* 2020: Self-supervised Learning of Audio-visual Objects from Video
* 2020: Semi-Supervised Learning with Scarce Annotations
* 2020: Smooth-AP: Smoothing the Path Towards Large-scale Image Retrieval
* 2020: Speech2Action: Cross-Modal Supervision for Action Recognition
* 2020: Visual Grounding in Video for Unsupervised Word Translation
* 2020: Watch, Read and Lookup: Learning to Spot Signs from Multiple Supervisors
* 2020: Watch, Read and Lookup: Learning to Spot Signs from Multiple Supervisors
* 2021: Aligning Subtitles in Sign Language Videos
* 2021: Broaden Your Views for Self-Supervised Video Learning
* 2021: Co-Attention for Conditioned Image Matching
* 2021: Face, Body, Voice: Video Person-Clustering with Multiple Modalities
* 2021: Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
* 2021: Localizing Visual Sounds the Hard Way
* 2021: LSD-C: Linearly Separable Deep Clusters
* 2021: Omnimatte: Associating Objects and Their Effects in Video
* 2021: Read and Attend: Temporal Localisation in Sign Language Videos
* 2021: Self-supervised Video Object Segmentation by Motion Grouping
* 2021: Synthetic Humans for Action Recognition from Unseen Viewpoints
* 2021: TeachText: CrossModal Generalized Distillation for Text-Video Retrieval
* 2021: Temporal Query Networks for Fine-grained Video Understanding
* 2021: Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers
* 2021: With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
* 2022: Automatic Dense Annotation of Large-Vocabulary Sign Language Videos
* 2022: AutoNovel: Automatically Discovering and Learning Novel Visual Categories
* 2022: Compressed Vision for Efficient Video Understanding
* 2022: Deep Audio-Visual Speech Recognition
* 2022: Generalized Category Discovery
* 2022: Input-level Inductive Biases for 3D Reconstruction
* 2022: Is an Object-centric Video Representation Beneficial for Transfer?
* 2022: It's About Time: Analog Clock Reading in the Wild
* 2022: Label, Verify, Correct: A Simple Few Shot Object Detection Method
* 2022: LAEO-Net++: Revisiting People Looking at Each Other in Videos
* 2022: Object Discovery and Representation Networks
* 2022: Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation
* 2022: Scaling Up Sign Spotting Through Sign Language Dictionaries
* 2022: Sub-word Level Lip Reading With Visual Attention
* 2022: Temporal Alignment Networks for Long-term Video
* 2023: AutoAD II: The Sequel - Who, When, and What in Movie Audio Description
* 2023: AutoAD: Movie Description in Context
* 2023: Change You Want to See, The
* 2023: Helping Hands: An Object-Aware Ego-Centric Video Recognition Model
* 2023: Light Touch Approach to Teaching Transformers Multi-view Geometry, A
* 2023: Making and Breaking of Camouflage, The
* 2023: TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
* 2023: Verbs in Action: Improving verb understanding in video-language models
Includes: Zisserman, A.[Andrew] Zisserman, A.
435 for Zisserman, A.
Zisserman, A.P.
* 2002: Classifying materials from images: to cluster or not to cluster?
Zissis, D.[Dimitris]
* 2023: Big Picture: An Improved Method for Mapping Shipping Activities, The