Checa, M.J.[Maria Jose]
* 2017: Enabling the Use of Sentinel-2 and LiDAR Data for Common Agriculture Policy Funds Assignment
Includes: Checa, M.J.[Maria Jose] Checa, M.J.[María José]
Checchi, E.[Enrico]
* 2021: Leveraging Sequential Pattern Information for Active Learning from Sequential Data
Checchin, P.
* 1997: Segmentation of Range Images into Planar Regions
* 1999: Combination of Image Segmentation Into Regions
* 2000: Texel Extraction on Inclined Textures by Adaptive Thresholding of Local Scales
* 2008: SLAM process using Polynomial Extended Kalman Filter: Experimental assessment
* 2010: Pedestrian Detection and Tracking in an Urban Environment Using a Multilayer Laser Scanner
* 2012: Handling Occlusions for Accurate 3D Urban Cartography: A New Approach Based on Characterization and Multiple Passages
* 2012: Real-time Decentralized Monocular SLAM
* 2013: Automatic Removal of Imperfections and Change Detection for Accurate 3D Urban Cartography by Classification and Incremental Updating
* 2013: Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation
* 2015: Real-Time Monocular SLAM With Low Memory Requirements
* 2017: Automatic Detection and Parameter Estimation of Trees for Forest Inventory Applications Using 3D Terrestrial LiDAR
* 2017: Global Registration of 3D LiDAR Point Clouds Based on Scene Features: Application to Structured Environments
* 2020: Robust normal vector estimation in 3D point clouds through iterative principal component analysis
* 2020: Systematic Evaluation and Characterization of 3d Solid State Lidar Sensors for Autonomous Ground Vehicles
* 2022: Deep Learning Approach for LiDAR Resolution-Agnostic Object Detection, A
Includes: Checchin, P. Checchin, P.[Paul]
15 for Checchin, P.
Checcucci, G.
* 2013: Art of War Frieze in Urbino: A Blend of Virtual Reconstruction and Scientific Accuracy, The
Chechik, G.[Gal]
* 2009: Large Scale Online Learning of Image Similarity through Ranking
* 2010: Object separation in x-ray image sets
* 2017: Context-Aware Captions from Context-Agnostic Supervision
* 2017: Learning from Noisy Large-Scale Datasets with Minimal Supervision
* 2019: Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
* 2019: Informative Object Annotations: Tell Me Something I Don't Know
* 2019: Joint Optimization for Cooperative Image Captioning
* 2020: Contrastive Learning for Weakly Supervised Phrase Grounding
* 2020: Differentiable Scene Graphs
* 2020: Learning Canonical Representations for Scene Graph to Image Generation
* 2020: Learning Object Permanence from Video
* 2021: ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning
* 2021: Distributional Robustness Loss for Long-tail Learning
* 2021: From generalized zero-shot learning to long-tail with class descriptors
* 2021: Self-Supervised Learning for Domain Adaptation on Point Clouds
* 2022: Coupled Training for Multi-Source Domain Adaptation
* 2022: DETReg: Unsupervised Pretraining with Region Priors for Object Detection
* 2022: Object-Region Video Transformers
* 2022: This Is My Unicorn, Fluffy: Personalizing Frozen Vision-Language Representations
* 2024: Late to the party? On-demand unlabeled personalized federated learning
Includes: Chechik, G.[Gal] Chechik, G.
20 for Chechik, G.
Checka, N.[Neal]
* 2001: Plan-View Trajectory Estimation with Dense Stereo Background Models
* 2001: Plan-View Trajectory Estimation with Dense Stereo Background Models
* 2002: Activity maps for location-aware computing
* 2002: Exploring Vision-Based Interfaces: How to Use Your Head in Dual Pointing Tasks
* 2002: Fast stereo-based head tracking for interactive environments
Includes: Checka, N.[Neal] Checka, N.
Checkley, D.M.[David M.]
* 2000: REFLICS: Real-time Flow Imaging and Classification System
* 2001: REFLICS: Real-time Flow Imaging and Classification System
Includes: Checkley, D.M.[David M.] Checkley, Jr., D.M.[David M.]
Checkley, W.[William]
* 2019: Developing an Advanced PM2.5 Exposure Model in Lima, Peru
Checky, M.T.
* 1987: Shadow Stereo-Locating Object Boundaries Using Shadows
Checroun, A.
* 1972: method of comparing two patterns independent of possible transformations and small distortions, A