| _ | move | _ |
|---|
| Accurate and robust localization of duplicated region in copy- | move | image forgery |
| Adaptive and | move | Making Auxiliary Cuts for Binary Pairwise Energies |
| Adaptive Copy- | move | Forgery Detection Using Wavelet Coefficients Multiscale Decay, An |
| Adaptive neuro-fuzzy inference system based on-the- | move | terrain classification for autonomous wheeled mobile robots |
| Another | move | Toward the Minimum Consistent Subset: A Tabu Search Approach to the Condensed Nearest Neighbor Rule |
| Automatic Detection of Internal Copy- | move | Forgeries in Images |
| Autoregressive-Elephant Herding Optimization based Generative Adversarial Network for copy- | move | forgery detection with Interval type-2 fuzzy clustering |
| Behavior Knowledge Space-Based Fusion for Copy- | move | Forgery Detection |
| Blur-invariant copy- | move | forgery detection technique with improved detection accuracy utilising SWT-SVD |
| brain in the machine: MIT is building robots that use full-body teleoperation to | move | with greater agility, The |
| BusterNet: Detecting Copy- | move | Image Forgery with Source/Target Localization |
| Chain code lossless compression using | move | -to-front transform and adaptive run-length encoding |
| Chess | move | tracking using overhead RGB webcam |
| Click to | move | : Controlling Video Generation with Sparse Motion |
| CMCF-Net: An End-to-End Context Multiscale Cross-Fusion Network for Robust Copy- | move | Forgery Detection |
| CMFD: a detailed review of block based and key feature based techniques in image copy- | move | forgery detection |
| CMID: A New Dataset for Copy- | move | Forgeries on ID Documents |
| CNN-Transformer Based Generative Adversarial Network for Copy- | move | Source/ Target Distinguishment |
| Composite attacks-based copy- | move | image forgery detection using AKAZE and FAST with automatic contrast thresholding |
| Continuous 3D Label Stereo Matching Using Local Expansion | move | s |
| Continuous Markov Random Field Optimization Using Fusion | move | Driven Markov Chain Monte Carlo Technique |
| Contraction | move | s for Geometric Model Fitting |
| Copy | move | Forgery detection and localisation robust to rotation using block based Discrete Cosine Transform and eigenvalues |
| Copy | move | Forgery Detection based on double matching |
| Copy | move | forgery detection with similar but genuine objects |
| Copy- | move | Detection Algorithm Using Binary Gradient Contours, A |
| Copy- | move | forgery detection and localization by means of robust clustering with J-Linkage |
| Copy- | move | forgery detection based on multi-radius PCET |
| Copy- | move | forgery detection based on PatchMatch |
| Copy- | move | Forgery Detection Based on SVD in Digital Image |
| Copy- | move | Forgery Detection Using Color Space and Moment Invariants-Based Features |
| Copy- | move | Forgery Detection Using the Segment Gradient Orientation Histogram |
| Copy- | move | image forgery detection based on Gabor magnitude |
| Copy- | move | Tamper Detection, Forensics |
| Copy- | move | tampering detection using affine transformation property preservation on clustered keypoints |
| Counter-forensics of SIFT-based copy- | move | detection by means of keypoint classification |
| Countering Anti-forensics of SIFT-based Copy- | move | Detection |
| COVERAGE: A novel database for copy- | move | forgery detection |
| Deep Learning Feature Extraction Using Attention-Based DenseNet 121 for Copy | move | Forgery Detection |
| Dependence on the display methods of change in accommodation and convergence when a target | move | s along the depth direction |
| Detection of Copy- | move | Forgery in Flat Region Based on Feature Enhancement |
| Digital Image Forensics Technique for Copy- | move | Forgery Detection Using DoG and ORB |
| Discovering Objects that Can | move | |
| Discriminating the Original Region from the Duplicated in Copy- | move | Forgery |
| DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy- | move | Forgery Detection and Localization |
| Dual branch convolutional neural network for copy | move | forgery detection |
| Effective and efficient pixel-level detection for diverse video copy- | move | forgery types |
| efficient copy | move | forgery detection using adaptive watershed segmentation with AGSO and hybrid feature extraction, An |
| Efficient Fusion | move | Algorithm for the Minimum Cost Lifted Multicut Problem, An |
| efficient ward-based copy- | move | forgery detection method for digital image forensic, An |
| Embodied Amodal Recognition: Learning to | move | to Perceive Objects |
| Enhanced Matching Method for Copy- | move | Forgery Detection by Means of Zernike Moments |
| Extending continuous cuts: Anisotropic metrics and expansion | move | s |
| Fast and effective Keypoint-based image copy- | move | forgery detection using complex-valued moment invariants |
| Fast copy- | move | forgery detection using local bidirectional coherency error refinement |
| Fast Fusion | move | s for Multi-Model Estimation |
| Fast Plain Copy- | move | Detection Algorithm Based on Structural Pattern and 2D Rabin-Karp Rolling Hash, A |
| Fast Solver for Truncated-Convex Priors: Quantized-Convex Split | move | s, A |
| Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the | move | |
| Fusion | move | s for correlation clustering |
| Fusion | move | s for Graph Matching |
| Fusion | move | s for Markov Random Field Optimization |
| Fuzzy Metaheuristic Algorithm for Copy- | move | Forgery Detection in Image |
| Generalized Fusion | move | s for Continuous Label Optimization |
| Going deeper into copy- | move | forgery detection: Exploring image telltales via multi-scale analysis and voting processes |
| GPS Trajectory Biometrics: From Where You Were to How You | move | |
| GRMA: Generalized Range | move | Algorithms for the Efficient Optimization of MRFs |
| High performance | move | s recognition and sequence segmentation based on key poses filtering |
| Higher-order gradient descent by fusion- | move | graph cut |
| How Did the Camera | move | ? |
| How Do Deepfakes | move | ? Motion Magnification for Deepfake Source Detection |
| How They | move | Reveals What Is Happening: Understanding the Dynamics of Big Events from Human Mobility Pattern |
| Human-Inspired Haptic-Enabled Learning From Prehensile | move | Demonstrations |
| Hyper-Graphs Inference through Convex Relaxations and | move | Making Algorithms: Contributions and Applications in Artificial Vision |
| I- | move | : Independent Moving Objects for Velocity Estimation |
| Identification and analysis of motives for eco-friendly driving within the eco- | move | project |
| Image copy- | move | forgery detection algorithm based on ORB and novel similarity metric |
| Image copy- | move | forgery detection based on dynamic threshold with dense points |
| Image Copy- | move | Forgery Detection Using Combination of Scale-Invariant Feature Transform and Local Binary Pattern Features |
| Image copy- | move | forgery detection using sparse recovery and keypoint matching |
| Image Copy- | move | Forgery Detection via an End-to-End Deep Neural Network |
| Improved DSIFT Descriptor Based Copy-Rotate- | move | Forgery Detection |
| improved method for SIFT-based copy- | move | forgery detection using non-maximum value suppression and optimized J-Linkage, An |
| Integer Circles, Etc.: Three | move | extension of Bresenham's algorithm |
| Introduction to the Special Issue on the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the- | move | |
| Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the- | move | |
| Iris on the | move | : Acquisition of Images for Iris Recognition in Less Constrained Environments |
| Iris Recognition: A Method to Segment Visible Wavelength Iris Images Acquired On-the- | move | and At-a-Distance |
| JPEG compression model in copy- | move | forgery detection |
| Keypoint based comprehensive copy- | move | forgery detection |
| Keypoints based enhanced multiple copy- | move | forgeries detection system using density-based spatial clustering of application with noise clustering algorithm |
| Learn to | move | : Activity Specific Motion Models for Tracking by Detection |
| Learning Features by Watching Objects | move | |
| Machine Vision | move | s into Traffic: Part I |
| Machine Vision | move | s into Traffic: Part II |
| Machine Vision | move | s into Traffic: Part III |
| Make It | move | : Controllable Image-to-Video Generation with Text Descriptions |
| Making the right | move | s: Guiding alpha-expansion using local primal-dual gaps |
| MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion | move | s |
| Motion Capture | move | s into New Realms |
| move | and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network |
| move | Forward and Tell: A Progressive Generator of Video Descriptions |
| move | , Attend and Predict: An attention-based neural model for people's movement prediction |
| move | -Based Algorithms for the Optimization of an Isotropic Gradient MRF Model |
| move | S: Manipulated Objects in Video Enable Segmentation |
| Multi-camera multi-object tracking on the | move | via single-stage global association approach |
| Multi-Camera Multiple 3D Object Tracking on the | move | for Autonomous Vehicles |
| Multi-label | move | s for MRFs with Truncated Convex Priors |
| Multi-View 3D Estimation and Applications to Match | move | |
| Multilabel partition | move | s for MRF optimization |
| Mumford-Shah on the | move | : Region-Based Segmentation on Deforming Manifolds with Application to 3-D Reconstruction of Shape and Appearance from Multi-View Images |
| NeuralDiff: Segmenting 3D objects that | move | in egocentric videos |
| new Copy- | move | forgery detection method using LIOP, A |
| new primal-dual algorithm for multilabel graph-cuts problems with approximate | move | s, A |
| Nissan Developing Mind-Reading Cars That Anticipate Drivers' Next | move | s and Act Accordingly |
| Non-intrusive Method for Copy- | move | Forgery Detection, A |
| Objects Can | move | : 3D Change Detection by Geometric Transformation Consistency |
| OmniZoomer: Learning to | move | and Zoom in on Sphere at High-Resolution |
| Online human | move | s recognition through discriminative key poses and speed-aware action graphs |
| Order-Preserving | move | s for Graph-Cut-Based Optimization |
| P3 and Beyond: | move | Making Algorithms for Solving Higher Order Functions |
| PatchMatch-Based Dense-Field Algorithm for Video Copy- | move | Detection and Localization, A |
| Progressive graph matching: Making a | move | of graphs via probabilistic voting |
| proposed accelerated image copy- | move | forgery detection, A |
| Real Time Fencing | move | Classification and Detection at Touch Time during a Fencing Match |
| Recognition Cones That Perceive and Describe Scenes that | move | and Change Over Time |
| Recommendation of | move | method refactorings using coupling, cohesion and contextual similarity |
| Remote Sensing Data Copy- | move | Forgery Protection Algorithm |
| Research Perception Towards Copy- | move | Image Forgery Detection: Challenges and Future Directions |
| Review, analysis and parameterisation of techniques for copy- | move | forgery detection in digital images |
| Right | move | : A Concept for a Video-Based Choreography Tool, The |
| robust technique for copy- | move | forgery detection and localization in digital images via stationary wavelet and discrete cosine transform, A |
| RobusterNet: Improving Copy- | move | Forgery Detection with Volterra-based Convolutions |
| Rotation robust detection of copy- | move | forgery |
| RSTA on the | move | |
| RSTA on the | move | : Detection and Tracking of Moving Objects from an Autonomous Mobile Platform |
| RSTA on the | move | : Detection and Tracking of Moving Objects from an Autonomous Mobile Platform: Final Report |
| Semantically Related Gestures | move | Alike: Towards a Distributional Semantics of Gesture Kinematics |
| Serial Image Copy- | move | Forgery Localization Scheme With Source/Target Distinguishment, A |
| SIFT-Symmetry: A robust detection method for copy- | move | forgery with reflection attack |
| SMDAF: A novel keypoint based method for copy- | move | forgery detection |
| Speech Recognition | move | s from Software to Hardware |
| Swap and Expansion | move | s revisited and fused, The |
| Swarm Robotics | move | s Forward |
| tiered | move | -making algorithm for general pairwise MRFs, A |
| Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the | move | |
| Towards Segmenting Anything That | move | s |
| Tracking-by-detection of multiple persons by a resample- | move | particle filter |
| Two-Stage Copy- | move | Forgery Detection With Self Deep Matching and Proposal SuperGlue |
| UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the- | move | and At-a-Distance, The |
| UCM-Net: A U-Net-Like Tampered-Region-Related Framework for Copy- | move | Forgery Detection |
| Unsupervised incremental estimation of Gaussian mixture models with 1D split | move | s |
| Verified Null- | move | Pruning |
| VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy- | move | forgery classification |
| Watch It | move | : Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects |
| Way They | move | : Tracking Multiple Targets with Similar Appearance, The |
| We are More than Our Joints: Predicting how 3D Bodies | move | |
| What Catches Your Eyes as You | move | Around? On the Discovery of Interesting Regions in the Street |
| What will Happen Next? Forecasting Player | move | s in Sports Videos |
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