Kada, M.
* 2001: On-the-Fly Adaptive Subdivision Terrain
* 2002: Processing of 3D Building Models for Location Aware Applications
* 2006: Cell Decomposition for the Generation of Building Models at Multiple Scales
* 2009: 3D Building Reconstruction from Lidar Based on a Cell Decomposition Approach
* 2010: update on automatic 3D building reconstruction, An
* 2012: Sub-surface Growing And Boundary Generalization For 3d Building Reconstruction
* 2016: Animation Strategies For Smooth Transformations Between Discrete Lods Of 3d Building Models
* 2016: Automatic Extraction And Regularization Of Building Outlines From Airborne Lidar Point Clouds
* 2016: Space Partitioning for Privacy Enabled 3D City Models
* 2016: Towards Object Driven Floor Plan Extraction From Laser Point Cloud
* 2016: Urbis Project: Identification And Characterization Of Potential Urban Development Areas As A Web-based Service, The
* 2018: Sweep-plane Algorithm for the Simplification of 3D Building Models In The Application Scenario of Wind Simulations, A
* 2020: Radar Remote Sensing to Supplement Pipeline Surveillance Programs through Measurements of Surface Deformations and Identification of Geohazard Risks
* 2021: ALS Point Cloud Classification Using Pointnet++ and Kpconv with Prior Knowledge
* 2021: Building Roof Vectorization with Ppgnet
* 2021: Exploring the Latent Manifold of City Patterns
* 2021: Quantitative Assessment of Vertical and Horizontal Deformations Derived by 3D and 2D Decompositions of InSAR Line-of-Sight Measurements to Supplement Industry Surveillance Programs in the Tengiz Oilfield (Kazakhstan)
* 2022: Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations
* 2024: Evaluation of Open Geotechnical Knowledge in Urban Environments for 3D Modelling of the City of Seville (Spain)
* 2024: Optimization of Targeted Differential Interferometric Measurements for Wellpads Detected by Mask Region-Based Convolutional Neural Network in the Tengiz Oilfield of the Caspian Sea Coast
Includes: Kada, M. Kada, M.[Martin]
20 for Kada, M.
Kadaba, S.R.
* 1996: Bayesian Decision-Feedback for Segmentation of Binary Images
* 1998: Recursive Estimation of Images Using Non-gaussian Autoregressive Models
* 2001: Image restoration using recursive Markov random field models driven by Cauchy distributed noise
Kadah, Y.M.
* 1995: Theory of true-velocity duplex imaging using a single transducer
* 1996: Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images
* 1998: Automatic suppression of spatially variant translational motion artifacts in magnetic resonance imaging
* 2000: Real Time Adaptive Ultrasound Speckle Reduction and Coherence Enhancement
* 2000: Robust Estimation of Planar Rigid Body Motion in Magnetic Resonance Imaging
* 2009: Computer aided diagnosis in digital mammography using combined support vector machine and linear discriminant analyasis classification
* 2014: Study of compressed sensing application to low dose computed tomography data collection
Includes: Kadah, Y.M. Kadah, Y.M.[Yasser M.]
7 for Kadah, Y.M.
Kadaikar, A.[Aysha]
* 2015: Sequential block-based disparity map estimation algorithm for stereoscopic image coding
* 2018: Joint disparity and variable size-block optimization algorithm for stereoscopic image compression
Kadam, P.
* 2020: Pointhop++: A Lightweight Learning Model on Point Sets for 3D Classification
* 2020: PointHop: An Explainable Machine Learning Method for Point Cloud Classification
* 2020: Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation
* 2020: Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)
* 2022: GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds
* 2022: PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation
* 2022: R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method
Includes: Kadam, P. Kadam, P.[Pranav]
7 for Kadam, P.
Kadam, S.[Suhas]
* 2017: Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
Kadam, S.I.A.[Sun Il A.]
* 2021: Suitability of Earth Engine Evaporation Flux (EEFlux) Estimation of Evapotranspiration in Rainfed Crops
Includes: Kadam, S.I.A.[Sun Il A.] Kadam, S.I.A.[Sun-Il A.]
Kadam, S.K.[Suvarna Kishorkumar]
* 2023: Target-driven One-shot Unsupervised Domain Adaptation
Kadambe, S.[Shubha]
* 2008: Shape normalized subspace analysis for underwater mine detection
Kadambi, A.
* 2014: Demultiplexing illumination via low cost sensing and nanosecond coding
* 2015: light transport model for mitigating multipath interference in Time-of-flight sensors, A
* 2015: Polarized 3D: High-Quality Depth Sensing with Polarization Cues
* 2016: Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight
* 2018: Depth Sensing Using Geometrically Constrained Polarization Normals
* 2018: Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo
* 2020: 3d Imaging For Thermal Cameras Using Structured Light
* 2020: Deep Polarization Cues for Transparent Object Segmentation
* 2020: Deep Shape from Polarization
* 2020: Polarized Non-Line-of-Sight Imaging
* 2021: Time-Resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo
* 2021: Towards Rotation Invariance in Object Detection
* 2022: MIME: Minority Inclusion for Majority Group Enhancement of AI Performance
* 2022: Not Just Streaks: Towards Ground Truth for Single Image Deraining
* 2022: Synthetic Generation of Face Videos with Plethysmograph Physiology
* 2023: ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
* 2023: Depth Estimation from Camera Image and mmWave Radar Point Cloud
* 2023: pCON: Polarimetric Coordinate Networks for Neural Scene Representations
* 2023: WeatherStream: Light Transport Automation of Single Image Deweathering
Includes: Kadambi, A. Kadambi, A.[Achuta]
19 for Kadambi, A.
Kadamen, J.[Jayren]
* 2016: Automatically Determining Scale Within Unstructured Point Clouds
Kadan, A.B.[Anoop Balakrishnan]
* 2020: Automatic diagnosis of diabetic retinopathy with the aid of adaptive average filtering with optimized deep convolutional neural network
* 2021: Early detection of breast malignancy using wavelet features and optimized classifier
* 2021: Optimized hybrid classifier for diagnosing diabetic retinopathy: Iterative blood vessel segmentation process
Kadandale, V.S.[Venkatesh S.]
* 2022: VoViT: Low Latency Graph-Based Audio-Visual Voice Separation Transformer
Kadappa, V.[Vijayakumar]
* 2013: Computational and space complexity analysis of SubXPCA
Kadappa, V.K.[Vijaya Kumar]
* 2010: SubXPCA versus PCA: A Theoretical Investigation
Kadar, I.[Ivan]
* 1900: Signal Processing, Sensor Fusion, and Target Recognition
* 1979: Class of Robust Edge Detectors Based on Latin Squares, A
* 1979: Class of Three-Dimensional Recursive Parallelpiped Masks, A
* 1990: Method and apparatus for detecting innovations in a scene
* 1993: Signal Processing, Sensor Fusion, and Target Recognition II
* 1994: Signal Processing, Sensor Fusion, and Target Recognition III
* 1995: Signal Processing, Sensor Fusion, and Target Recognition IV
* 1996: Signal Processing, Sensor Fusion, and Target Recognition V
* 1997: Distributed Fusion Architectures and Algorithms for Target Tracking
* 1997: Signal Processing, Sensor Fusion, and Target Recognition VI
* 1998: Signal Processing, Sensor Fusion, and Target Recognition VII
* 1999: Signal Processing, Sensor Fusion, and Target Recognition VIII
* 2008: Evolving boundary detectors for natural images via Genetic Programming
* 2012: Small sample scene categorization from perceptual relations
* 2014: SceneNet: A Perceptual Ontology for Scene Understanding
Includes: Kadar, I.[Ivan] Kadar, I. Kadar, I.[Ilan]
15 for Kadar, I.
Kadari, P.[Prashanth]
* 2020: Generalized communication cost efficient multi-way spatial join: revisiting the curse of the last reducer
Kadari, R.R.[Rachana Redd]
* 2021: Analysis of Geotagging Behavior: Do Geotagged Users Represent the Twitter Population?
Kadav, A.
* 2018: Attend and Interact: Higher-Order Object Interactions for Video Understanding
* 2020: 15 Keypoints Is All You Need
* 2020: S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
* 2021: Dual Projection Generative Adversarial Networks for Conditional Image Generation
* 2022: COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
* 2022: Self-supervised Video Representation Learning with Cascade Positive Retrieval
Includes: Kadav, A. Kadav, A.[Asim]
Kadavath, S.[Saurav]
* 2021: Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization, The
Kadaveru, S.[Sreevatsank]
* 2023: When Do Curricula Work in Federated Learning?
Kadavi, P.R.[Prima Riza]
* 2018: Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping
Kadavigere, R.[Rajagopal]
* 2017: Asymmetry analysis of breast thermograms using automated segmentation and texture features
* 2018: Role of normalization of breast thermogram images and automatic classification of breast cancer
* 2023: Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering