Index for darr

Darras, K. Co Author Listing * Automatic Segmentation of Wrist Bones in CT Using a Statistical Wrist Shape+Pose Model

Darrell, T. Co Author Listing * End-to-End Learning of Driving Models from Large-Scale Video Datasets
* Guest Editor's Introduction to the Special Issue on Domain Adaptation for Vision Applications
* SkipNet: Learning Dynamic Routing in Convolutional Networks
* Textual Explanations for Self-Driving Vehicles
* Women Also Snowboard: Overcoming Bias in Captioning Models
Includes: Darrell, T. Darrell, T.[Trevor]

Darrell, T.J.[Trevor J.] Co Author Listing * Home Page.
* email: Darrell, T.J.[Trevor J.]: trevor AT eecs berkeley edu
* 3D Pose Tracking with Linear Depth and Brightness Constraints
* Active Face Tracking and Pose Estimation in an Interactive Room
* Active Gesture Recognition Using Partially Observable Markov Decision Processes
* Active Learning with Gaussian Processes for Object Categorization
* Activity maps for location-aware computing
* Adapting Visual Category Models to New Domains
* Adaptive view-based appearance models
* Adaptive Vocabulary Forests for Dynamic Indexing and Category Learning
* Adversarial Discriminative Domain Adaptation
* Alive System: Wireless, Full-Body Interaction with Autonomous Agents, The
* Anytime Recognition of Objects and Scenes
* Approximate Correspondences in High Dimensions
* Articulated-Pose Estimation using Brightness and Depth-Constancy Constraints
* Autotagging Facebook: Social network context improves photo annotation
* Avoiding the Streetlight Effect: Tracking by Exploring Likelihood Modes
* Background Estimation and Removal Based on Range and Color
* Background estimation and segmentation based on range and color
* Bayesian approach to image-based visual hull reconstruction, A
* Best Practices for Fine-Tuning Visual Classifiers to New Domains
* Beyond spatial pyramids: Receptive field learning for pooled image features
* Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance
* Captioning Images with Diverse Objects
* category-level 3-D object dataset: Putting the Kinect to work, A
* Clockwork Convnets for Video Semantic Segmentation
* Co-training with noisy perceptual observations
* Combining Object and Feature Dynamics in Probabilistic Tracking
* Combining Simple Models to Approximate Complex Dynamics
* Compact Bilinear Pooling
* Conditional Random People: Tracking Humans with CRFs and Grid Filters
* Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
* Constraining human body tracking
* Context Encoders: Feature Learning by Inpainting
* Continuous Manifold Based Adaptation for Evolving Visual Domains
* Cooperative Robust Estimation Using Layers of Support
* Correspondence with Cumulative Similarity Transforms
* Curiosity-Driven Exploration by Self-Supervised Prediction
* Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
* Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction
* Deformable part models are convolutional neural networks
* Depth from Focus Using a Pyramid Architecture
* Detector discovery in the wild: Joint multiple instance and representation learning
* Discovering Latent Domains for Multisource Domain Adaptation
* Dynamic Occluding Contours: A New External-energy Term for Snakes
* Dynamic visual category learning
* Efficient Image Matching with Distributions of Local Invariant Features
* Exemplar-Specific Patch Features for Fine-Grained Recognition
* Explainable Neural Computation via Stack Neural Module Networks
* Exploring Vision-Based Interfaces: How to Use Your Head in Dual Pointing Tasks
* Face Recognition from Long-Term Observations
* Face Recognition with Image Sets Using Manifold Density Divergence
* Fast 3D model acquisition from stereo images
* Fast concurrent object classification and localization
* Fast concurrent object localization and recognition
* Fast Contour Matching Using Approximate Earth Mover's Distance
* Fast Pose Estimation with Parameter-Sensitive Hashing
* Fast stereo-based head tracking for interactive environments
* Finding lost children
* From pixels to physics: Probabilistic color de-rendering
* Fully Convolutional Networks for Semantic Segmentation
* Gaussian Processes for Object Categorization
* Generalized Orderless Pooling Performs Implicit Salient Matching
* Generalized Sparselet Models for Real-Time Multiclass Object Recognition
* Generating Visual Explanations
* Grounding of Textual Phrases in Images by Reconstruction
* Grounding Visual Explanations
* Guest Editors' Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis
* Head gestures for perceptual interfaces: The role of context in improving recognition
* Hidden Conditional Random Fields
* Incorporating Object Tracking Feedback into Background Maintenance Framework
* Inferring 3D Structure with a Statistical Image-Based Shape Model
* Integrated Face and Gait Recognition from Multiple Views
* Integrated Person Tracking Using Stereo, Color, and Pattern Detection
* Introduction to the CVIU special issue on 'Parts and Attributes: Mid-level representation for object recognition, scene classification and object detection'
* Latent Task Adaptation with Large-Scale Hierarchies
* Latent-Dynamic Discriminative Models for Continuous Gesture Recognition
* Learning Appearance Manifolds from Video
* Learning cross-modality similarity for multinomial data
* Learning Detection with Diverse Proposals
* Learning Features by Watching Objects Move
* Learning object color models from multi-view constraints
* Learning Scalable Discriminative Dictionary with Sample Relatedness
* Learning the Structure of Deep Convolutional Networks
* Learning to Reason: End-to-End Module Networks for Visual Question Answering
* Learning to Recognize Objects from Unseen Modalities
* Learning to Transform Time Series with a Few Examples
* Learning Visual Representations using Images with Captions
* Learning with Side Information through Modality Hallucination
* Light Field Morphable Models
* Localizing Moments in Video with Natural Language
* Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
* Magic Morphin' Mirror: Person Detection and Tracking
* Method and apparatus for personnel detection and tracking
* Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images
* Modeling Relationships in Referential Expressions with Compositional Modular Networks
* Motion Estimation from Disparity Images
* Multistream Articulatory Feature-Based Models for Visual Speech Recognition
* Natural Language Object Retrieval
* NBNN kernel, The
* Neural Module Networks
* Non-parametric and light-field deformable models
* Nonlinear Latent Variable Models for Video Sequences
* Nulling Filters and the Separation of Transparent Motions
* On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
* On probabilistic combination of face and gait cues for identification
* On the representation of occluded shapes
* On the Use of Nulling Filters to Separate Transparent Motions
* PANDA: Pose Aligned Networks for Deep Attribute Modeling
* Part-Based R-CNNs for Fine-Grained Category Detection
* Perceptive Spaces for Performance and Entertainment: Untethered Interaction Using Computer Vision and Audition
* Pfinder: Real-Time Tracking of the Human Body
* Plan-View Trajectory Estimation with Dense Stereo Background Models
* Pose Estimation Using 3D View-Based Eigenspaces
* Pose pooling kernels for sub-category recognition
* Probabalistic Models and Informative Subspaces for Audiovisual Correspondence
* probabilistic model for recursive factorized image features, A
* Pyramid Based Depth from Focus
* Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences
* Pyramid Match Kernel: Discriminative Classification with Sets of Image Features, The
* Radial Cumulative Similarity Transform for Robust Image Correspondence, A
* Range Segmentation Using Visibility Constraints
* Range-based Foreground Detection Using Visibility Constraints
* Rank Priors for Continuous Non-Linear Dimensionality Reduction
* Recognizing Image Style
* Reducing drift in differential tracking
* Reducing Drift in Parametric Motion Tracking
* Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
* Rendering Articulated Figures from Examples
* Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
* Robust Estimation of a Multi-Layered Motion Representation
* Robust Estimation of Multiple Models in the Structure from Motion Domain
* Robust, Real-Time People Tracking in Open Environments Using Integrated Stereo, Color, and Face Detection
* Scalable classifiers for Internet vision tasks
* Scene Intrinsics and Depth from a Single Image
* Searching the web with mobile images for location recognition
* Segmentation by Minimal Description
* Segmentation from Natural Language Expressions
* Semi-supervised Domain Adaptation with Instance Constraints
* Separation of Transparent Motion into Layers Using Velocity-Tuned Mechanisms
* Sequence to Sequence -- Video to Text
* Simple Range Cameras Based on Focal Error
* Simple, Real-Time Range Camera, A
* Simultaneous calibration and tracking with a network of non-overlapping sensors
* Simultaneous Deep Transfer Across Domains and Tasks
* Space-Time Gestures
* Sparse probabilistic regression for activity-independent human pose inference
* Sparselet Models for Efficient Multiclass Object Detection
* Spatial Semantic Regularisation for Large Scale Object Detection
* Special Editors' Introduction to the Special Issue on Award-Winning Papers from the IEEE Conference on Computer Vision and Pattern Recognition 2010 (CVPR 2010)
* Stereo tracking using ICP and normal flow constraint
* Supervised hierarchical Pitman-Yor process for natural scene segmentation
* Task-Specific Gesture Analysis in Real-Time Using Interpolated Views
* Toward Large-Scale Face Recognition Using Social Network Context
* Tracking Facial Motion
* Transfer learning for image classification with sparse prototype representations
* Transferring Nonlinear Representations using Gaussian Processes with a Shared Latent Space
* Unsupervised feature selection via distributed coding for multi-view object recognition
* Unsupervised Learning of Categories from Sets of Partially Matching Image Features
* Using Multiple-Hypothesis Disparity Maps and Image Velocity for 3-D Motion Estimation
* Virtual Mirror Interface Using Real-Time Robust Face Tracking, A
* Virtual Visual Hulls: Example-Based 3D Shape Estimation from a Single Silhouette
* Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes
* Visual grasp affordances from appearance-based cues
* Visual Speech Recognition with Loosely Synchronized Feature Streams
* What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
* YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition
Includes: Darrell, T.J.[Trevor J.] Darrell, T.J. Darrell, T.J.[Trever J.]
167 for Darrell, T.J.

Darrodi, M.M.[Maryam Mohammadzadeh] Co Author Listing * Rank-based camera spectral sensitivity estimation
* Reference data set for camera spectral sensitivity estimation

Darrozes, J.[Jose] Co Author Listing * Investigation of Short-Term Evolution of Soil Characteristics over the Lake Chad Basin Using GRACE Data
* Multi-Satellite Altimeter Validation along the French Atlantic Coast in the Southern Bay of Biscay from ERS-2 to SARAL
Includes: Darrozes, J.[Jose] Darrozes, J.[Josť]

Index for "d"


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