Cranch, G.A.
* 2019: Time Delay Estimation Via Wasserstein Distance Minimization
Crandall, C.[Christy]
* 2023: Spatial Application of Southern U.S. Pine Water Yield for Prioritizing Forest Management Activities
Crandall, D.[David]
* 2000: Robust Extraction of Text in Video
* 2001: Robust detection of stylized text events in digital video
* 2003: Extraction of special effects caption text events from digital video
* 2004: Robust color object detection using spatial-color joint probability functions
* 2006: Color Object Detection Using Spatial-Color Joint Probability Functions
* 2012: Discovering localized attributes for fine-grained recognition
* 2012: Multi-layer Composite Model for Human Pose Estimation, A
* 2017: Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos
* 2018: Introduction to the special issue: Egocentric Vision and Lifelogging
* 2019: Embodied Amodal Recognition: Learning to Move to Perceive Objects
* 2019: Observing Pianist Accuracy and Form with Computer Vision
* 2019: Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
* 2021: Whose hand is this? Person Identification from Egocentric Hand Gestures
* 2022: Ego4D: Around the World in 3,000 Hours of Egocentric Video
* 2022: Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
* 2022: Semantically Stealthy Adversarial Attacks against Segmentation Models
* 2022: Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks
* 2023: Editorial: Special Section on Egocentric Perception
* 2023: VindLU: A Recipe for Effective Video-and-Language Pretraining
* 2024: Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition
Includes: Crandall, D.[David] Crandall, D.
20 for Crandall, D.
Crandall, D.J.[David J.]
* 2005: Spatial Priors for Part-Based Recognition Using Statistical Models
* 2006: Object Recognition by Combining Appearance and Geometry
* 2006: Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
* 2007: Composite Models of Objects and Scenes for Category Recognition
* 2009: Landmark classification in large-scale image collections
* 2011: Discrete-continuous optimization for large-scale structure from motion
* 2012: Layer-finding in radar echograms using probabilistic graphical models
* 2012: Modeling People and Places with Internet Photo Collections
* 2013: Observing the Natural World with Flickr
* 2013: SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion
* 2014: Attribute-based vehicle recognition using viewpoint-aware multiple instance SVMs
* 2014: Estimating bedrock and surface layer boundaries and confidence intervals in ice sheet radar imagery using MCMC
* 2014: Multimodal Learning in Loosely-Organized Web Images
* 2014: This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video
* 2015: Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions
* 2015: Linking Past to Present: Discovering Style in Two Centuries of Architecture
* 2015: Predicting Geo-informative Attributes in Large-Scale Image Collections Using Convolutional Neural Networks
* 2016: DeepDiary: Automatically Captioning Lifelogging Image Streams
* 2017: Automatic estimation of ice bottom surfaces from radar imagery
* 2017: Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models
* 2017: Identifying First-Person Camera Wearers in Third-Person Videos
* 2017: Unified Model for Near and Remote Sensing, A
* 2018: Deepdiary: Lifelogging image captioning and summarization
* 2018: Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition
* 2018: Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos
* 2018: Minimizing Supervision for Free-Space Segmentation
* 2018: Multi-task Spatiotemporal Neural Networks for Structured Surface Reconstruction
* 2019: Temporal Recurrent Networks for Online Action Detection
* 2020: Dynamic Dual-attentive Aggregation Learning for Visible-infrared Person Re-identification
* 2020: HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation
* 2020: Learning Video Object Segmentation From Unlabeled Videos
* 2020: Pose-Guided Knowledge Transfer for Object Part Segmentation
* 2021: Affective Growth of Computer Vision, The
* 2021: Part Segmentation of Unseen Objects using Keypoint Guidance
* 2022: Segmenting Objects From Relational Visual Data
* 2023: DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos
* 2023: Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds
* 2023: Survey on Deep Learning Technique for Video Segmentation, A
* 2024: GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
Includes: Crandall, D.J.[David J.] Crandall, D.J.
39 for Crandall, D.J.
Crandall, J.
* 2004: Ankle cartilage surface segmentation using directional gradient vector flow snakes
Crandall, P.E.[Phyllis E.]
* 1999: Discrete Gabor transforms with complexity O(NlogN)
Crandall, R.[Robert]
* 2014: Lossless image compression using causal block matching and 3D collaborative filtering
Crane, C.
* 2006: Perception and Planning Architecture for Autonomous Ground Vehicles
Crane, H.D.
* 1968: Translation-tolerant mask matching using noncoherent reflective optics
* 1983: Automatic Signature Verification Using a Three-Axis-Force-Sensitive Pen
Crane, J.
* 2020: Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain
Crane, M.[Martin]
* 2014: Random Matrix Ensembles of Time Correlation Matrices to Analyze Visual Lifelogs
Crane, P.[Peter]
* 2016: Holistic Evaluation of Task View Format for Training a Simulated Robot-Assisted EOD Task, A
* 2021: Virtual Reality Compensatory Aid for Improved Weapon Splash-Zone Awareness
Crane, R.A.[Rich Andrew]
* 2023: Multi-Scale Feasibility Study into Acid Mine Drainage (AMD) Monitoring Using Same-Day Observations, A
Crane, S.[Sean]
* 2022: Ego4D: Around the World in 3,000 Hours of Egocentric Video
* 2023: Computer Vision for International Border Legibility
Includes: Crane, S.[Sean] Crane, S.[Skyler]
Cranefield, S.
* 2019: Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks
* 2021: Cross-Domain Latent Modulation for Variational Transfer Learning
Includes: Cranefield, S. Cranefield, S.[Stephen]
Cranley, K.
* 2001: 3D reconstruction from two orthogonal views using simulated annealing approach
Cranmer, A.M.[Andy M.]
* 2014: Three-Dimensional Index for Characterizing Crop Water Stress, A
Crannell, A.[Annalisa]
* 2019: Factoring a Homography to Analyze Projective Distortion
Crannitch, D.[Dion]
* 2001: On Benchmarking Optical Flow
Cranton, W.[Wayne]
* 2012: Handbook of Visual Display Technology