Mordan, T.[Taylor]
Co Author Listing * Detecting 32 Pedestrian Attributes for Autonomous Vehicles
* End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection
* Learning Decoupled Representations for Human Pose Forecasting
* Shared Representation for Photorealistic Driving Simulators, A
* WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks
* WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation
Includes: Mordan, T.[Taylor] Mordan, T.
Mordang, J.
Co Author Listing * Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization
Mordang, J.J.[Jan Jurre]
Co Author Listing * Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets
Includes: Mordang, J.J.[Jan Jurre] Mordang, J.J.[Jan-Jurre]
Morde, A.
Co Author Listing * Contextual video clip classification
* Enhanced event recognition in video using image quality assessment
* GPU enabled Smart Video Node
* Learning a background model for change detection
* Multimodal System for Accessing Driving Directions, A
Includes: Morde, A. Morde, A.[Ashutosh]
Mordelet, F.
Co Author Listing * bagging SVM to learn from positive and unlabeled examples, A
Mordido, G.[Goncalo]
Co Author Listing * Assessing Image and Text Generation with Topological Analysis and Fuzzy Logic
* microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
* Monte Carlo Gradient Quantization
Includes: Mordido, G.[Goncalo] Mordido, G.[Gonçalo] Mordido, G.
Mordini, E.[Emilio]
Co Author Listing * Biometric privacy protection: What is this thing called privacy?
* Facilitating free travel in the Schengen area: A position paper by the European Association for Biometrics
Mordohai, P.[Philippos]
Co Author Listing * 3D Interest Point Detection via Discriminative Learning
* Automatic Facial Expression Recognition using Bags of Motion Words
* CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation
* Classification of Vehicle Parts in Unstructured 3D Point Clouds
* Correctness Prediction, Accuracy Improvement and Generalization of Stereo Matching Using Supervised Learning
* Correspondence estimation for non-rigid point clouds with automatic part discovery
* Dense multiple view stereo with general camera placement using tensor voting
* Detailed Real-Time Urban 3D Reconstruction from Video
* Detecting and parsing architecture at city scale from range data
* Do End-to-end Stereo Algorithms Under-utilize Information?
* Egocentric Object Recognition Leveraging the 3D Shape of the Grasping Hand
* Evaluation of Large Scale Scene Reconstruction
* Evaluation of stereo confidence indoors and outdoors
* Exact bias correction and covariance estimation for stereo vision
* First order augmentation to tensor voting for boundary inference and multiscale analysis in 3d
* First Order Tensor Voting and Application to 3-D Scale Analysis
* Inference of Segmented Overlapping Surfaces from Binocular and Multiple-View Stereo
* Inference of Segmented Overlapping Surfaces from Binocular Stereo
* Inlier clustering based on the residuals of random hypotheses
* Integrated Tensor Voting in Multiple Scales for Shape Description in 3D
* Junction Inference and Classification for Figure Completion using Tensor Voting
* Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation
* Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching
* Learning to Navigate Robotic Wheelchairs from Demonstration: Is Training in Simulation Viable?
* Least Commitment, Viewpoint-Based, Multi-view Stereo
* Matching-space Stereo Networks for Cross-domain Generalization
* minimum cover approach for extracting the road network from airborne LIDAR data, A
* Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh
* Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
* On the Evaluation of Scene Flow Estimation
* On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey
* Perceptual grouping for multiple view stereo using tensor voting
* PRN: Panoptic Refinement Network
* Quantitative Evaluation of Confidence Measures for Stereo Vision, A
* Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions
* Real-Time Visibility-Based Fusion of Depth Maps
* RecResNet: A Recurrent Residual CNN Architecture for Disparity Map Enhancement
* Robust Probabilistic Occupancy Grid Estimation from Positive and Negative Distance Fields
* Self-Aware Matching Measure for stereo, The
* Shared Autonomy Approach for Wheelchair Navigation Based on Learned User Preferences, A
* Simplified Belief Propagation for Multiple View Reconstruction
* Single-camera 3D head fitting for mixed reality clinical applications
* Special Issue on Large-Scale 3D Modeling of Urban Indoor or Outdoor Scenes from Images and Range Scans
* Stereo Using Monocular Cues within the Tensor Voting Framework
* Temporally Consistent Reconstruction from Multiple Video Streams Using Enhanced Belief Propagation
* Tensor Voting Framework, The
* Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning
* Towards Urban 3D Reconstruction from Video
* Unsupervised dimensionality estimation and manifold learning in high-dimensional spaces by tensor voting
* V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints
* Variable baseline/resolution stereo
Includes: Mordohai, P.[Philippos] Mordohai, P.
51 for Mordohai, P.
Mordonini, M.
Co Author Listing * Cellular automata-based optical flow computation for just-in-time applications
* embedded architecture for real-time object detection in digital images based on niching particle swarm optimization, An
* Evolving Binary Classifiers Through Parallel Computation of Multiple Fitness Cases
* Hybrid Stereo Sensor with Omnidirectional Vision Capabilities: Overview and Calibration Procedures
* Just-in-time Landmarks Recognition
* Particle Swarm Optimization for Object Detection and Segmentation
* Using Small Checkerboards as Size Reference: A Model-Based Approach
Includes: Mordonini, M. Mordonini, M.[Monica]
7 for Mordonini, M.
Mordvintsev, A.
Co Author Listing * Associative Domain Adaptation
* Learning by Association: A Versatile Semi-Supervised Training Method for Neural Networks
Mordy, C.W.[Calvin W.]
Co Author Listing * Sea Surface Salinity Variability in the Bering Sea in 2015-2020