Chilaka, S.V.
* 2006: Enhanced Discrimination Among UXO-Like Targets Using Extremely Low-Frequency Magnetic Fields
Chilakala, L.R.[Lokanath Reddy]
* 2021: Optimal deep belief network with opposition-based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach
Chilambuchelvan, A.
* 2015: Performance Improvement of Average Based Spatial Filters through Multilevel Preprocessing using Wavelets
Chilamkurthy, S.[Sasank]
* 2022: Deep-aspects: A Segmentation-assisted Model for Stroke Severity Measurement
* 2023: Mind the Clot: Automated LVO Detection on CTA using Deep Learning
Chilcott, D.
* 2017: Metric Evaluation Pipeline for 3D Modeling of Urban Scenes
Child, B.[Brian]
* 2020: Healthy Park Needs Healthy Vegetation: The Story of Gorongosa National Park in the 21st Century, A
Child, C.
* 2016: HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features
* 2017: Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery
* 2017: Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo
* 2018: Data-driven recovery of hand depth using CRRF on stereo images
Includes: Child, C. Child, C.[Chris]
Child, S.F.[Sarah F.]
* 2021: Structure-From-Motion Photogrammetry of Antarctic Historical Aerial Photographs in Conjunction with Ground Control Derived from Satellite Data
Childerhouse, S.[Simon]
* 2021: Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks
Childs Gleason, L.
* 2016: Bridging The Gap Between Nasa Earth Observations And Decision Makers Through The Nasa Develop National Program
Includes: Childs Gleason, L. Childs-Gleason, L.
Childs, D.Z.[Dylan Z.]
* 2022: Deep Learning Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery, A
Childs, E.C.[Elisabeth C.]
* 2012: Image alignment for multiple camera high dynamic range microscopy
Childs, H.
* 2013: Research Challenges for Visualization Software
* 2013: Ultrascale Visualization of Climate Data
Includes: Childs, H. Childs, H.[Hank]
Childs, J.[Joshua]
* 2022: RFID Technology Study for Traffic Signage Inventory Management Application
Childs, P.R.N.[Peter R.N.]
* 2019: artificial intelligence based data-driven approach for design ideation, An
Chilgunde, A.
* 2004: Multi-Camera Target Tracking in Blind Regions of Cameras with Non-overlapping Fields of View
Chilimbi, T.[Trishul]
* 2022: Multi-modal Alignment using Representation Codebook
* 2022: Vision-Language Pre-Training with Triple Contrastive Learning
* 2023: Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
Chiliquinga, M.D.[Mauricio D.]
* 2021: Virtual Training System Based on the Physiological Cycle of the Potato INIAP Suprema
Chiliveri, V.R.[Vinod Rajeshwar]
* 2024: Novel reaching law based predictive sliding mode control for lateral motion control of in-wheel motor drive electric vehicle with delay estimation
Chillarige, R.R.
* 2016: Generating cancellable fingerprint templates based on Delaunay triangle feature set construction
Chillemi, S.[Santi]
* 2007: Coincidence Detector Properties of Small Networks of Interneurons
Chillet, D.
* 2005: Thickness Estimation of Discrete Tree-Like Tubular Objects: Application to Vessel Quantification
* 2014: Special issue on design and architectures of real-time image processing in embedded systems
Includes: Chillet, D. Chillet, D.[Daniel]
Chilson, P.B.[Phillip B.]
* 2018: Merging Unmanned Aerial Systems (UAS) Imagery and Echo Soundings with an Adaptive Sampling Technique for Bathymetric Surveys
* 2020: Effect of Climatological Variables on Future UAS-Based Atmospheric Profiling in the Lower Atmosphere, The
Chilton, E.
* 2000: Comparative Study of Different Segmentation Approaches for Audio Track Indexing, A
Chiluisa, M.G.[Max G.]
* 2018: Training in Virtual Environments for Hybrid Power Plant
Chilvers, M.I.[Martin I.]
* 2018: Leaf and Canopy Level Detection of Fusarium Virguliforme (Sudden Death Syndrome) in Soybean