Index for chit

Chit, W.C.[Wan Chao] * 2021: FastCompletion: A Cascade Network with Multiscale Group-Fused Inputs for Real-Time Depth Completion
Includes: Chit, W.C.[Wan Chao] Chit, W.C.[Wan-Chao]

Chitale, P.A. * 2020: Pothole Detection and Dimension Estimation System using Deep Learning (YOLO) and Image Processing

Chitayat, A.[Adrienne] * 2023: Using Drones to Determine Chimpanzee Absences at the Edge of Their Distribution in Western Tanzania

Chithra, M.S. * 2015: Bayesian denoising of ultrasound images using heavy-tailed Levy distribution

Chithra, P.[Palaniappan] * 2020: Segmentation using fuzzy cluster-based thresholding method for apple fruit sorting

Chithra, P.L. * 2020: Di-phase midway convolution and deconvolution network for brain tumor segmentation in MRI images

Chithra, R.S. * 2019: Fractional crow search-based support vector neural network for patient classification and severity analysis of tuberculosis
* 2020: Severity detection and infection level identification of tuberculosis using deep learning

Chitiboi, T.[Teodora] * 2017: Multi-cycle Reconstruction of Cardiac MRI for the Analysis of Inter-ventricular Septum Motion During Free Breathing
* 2019: Analysis of Three-Chamber View Tagged Cine MRI in Patients with Suspected Hypertrophic Cardiomyopathy

Chitlangia, S.[Sharad] * 2022: Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving

Chitnis, K.[Kedar] * 2014: Surround View Camera Solution for Embedded Systems, A
* 2016: Diverse Low Cost High Performance Platform for Advanced Driver Assistance System (ADAS) Applications, A
Includes: Chitnis, K.[Kedar] Chitnis, K.

Chitnis, S.A. * 2021: Generating Synthetic 3d Point Segments for Improved Classification Of Mobile Lidar Point Clouds

Chitoor, S.S.[Suresh S.] * 1991: new data structure HC-expression for learning from examples, A

Chitos, A.[Andreas] * 2022: Assessment of Different Object Detectors for the Maturity Level Classification of Broccoli Crops Using UAV Imagery

Chitour, Y. * 2015: On the Convergence of Maronna's M-Estimators of Scatter
* 2022: Reproducing Sensory Induced Hallucinations via Neural Fields
Includes: Chitour, Y. Chitour, Y.[Yacine]

Chitra, B. * 2022: Early cervical cancer diagnosis using Sooty tern-optimized CNN-LSTM classifier

Chitra, S. * 2018: Enhanced brain image retrieval using carrier frequency offset compensated orthogonal frequency division multiplexing for telemedicine applications

Chitre, Y. * 1996: Analysis of mammographic microcalcifications using gray-level image structure features
* 1999: M-band wavelet discrimination of natural textures
Includes: Chitre, Y. Chitre, Y.[Yateen]

Chitroub, S. * 2000: Compound PCA-ICA Neural Network Model for Enhancement and Feature Extraction of Multi-frequency Polarimetric SAR Imagery
* 2002: Statistical characterisation and modelling of SAR images
* 2009: Person's Recognition Using Palmprint Based on 2D Gabor Filter Response
* 2010: Efficient Person Identification by Fusion of Multiple Palmprint Representations
* 2011: Biometric Signature of Private Key by Reliable Iris Recognition Based on Flexible-ICA Algorithm
* 2014: Fusion of iris and palmprint for multimodal biometric authentication
* 2017: Efficient multimodal ocular biometric system for person authentication based on iris texture and corneal shape
Includes: Chitroub, S. Chitroub, S.[Salim]
7 for Chitroub, S.

Chitsaz, K.[Kamran] * 2020: Use of Frequency Domain for Complexity Reduction of Convolutional Neural Networks

Chitsazan, A.D.[Alex D.] * 2022: Spatial Prediction of COVID-19 Pandemic Dynamics in the United States

Chitsobhuk, O. * 2004: Image segmentation based on hierarchical mapping

Chitta, K.[Kashyap] * 2018: Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
* 2020: Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving
* 2020: Learning Situational Driving
* 2020: Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions
* 2021: Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
* 2021: NEAT: Neural Attention Fields for End-to-End Autonomous Driving
* 2022: KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
* 2022: Training Data Subset Search With Ensemble Active Learning
* 2023: Hidden Biases of End-to-End Driving Models
* 2023: On Offline Evaluation of 3D Object Detection for Autonomous Driving
* 2023: TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving
Includes: Chitta, K.[Kashyap] Chitta, K.
11 for Chitta, K.

Chitta, R.[Radha] * 2010: Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification
* 2017: Deep Multimodal Representation Learning from Temporal Data
Includes: Chitta, R.[Radha] Chitta, R.

Chittajallu, D.R. * 2009: Fuzzy-Cuts: A knowledge-driven graph-based method for medical image segmentation
* 2010: Patch-cuts: A Graph-based Image Segmentation Method Using Patch Features and Spatial Relations
* 2010: shape-driven MRF model for the segmentation of organs in medical images, A
Includes: Chittajallu, D.R. Chittajallu, D.R.[Deepak R.]

Chittapur, G.B. * 2011: Detection of Copy-Create Image Forgery Using Luminance Level Techniques

Chittaranjan, G.[Gokul] * 2011: Exploiting observers' judgements for nonverbal group interaction analysis

Chittaro, L.[Luca] * 2008: Tracking Human Motion From Monocular Sequences
* 2015: Stress Detection Using Physiological Sensors
* 2017: Mobile Three-Dimensional Maps for Wayfinding in Large and Complex Buildings: Empirical Comparison of First-Person Versus Third-Person Perspective
Includes: Chittaro, L.[Luca] Chittaro, L.

Chitte, S.D. * 2009: Source Localization from Received Signal Strength Under Log-Normal Shadowing: Bias and Variance

Chittenden, A.R.[Anthony R.] * 2016: Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data, A
* 2017: Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land, A

Chitti, E.[Eleonora] * 2020: Multimodal Empathic Feedback Through a Virtual Character

Chitti, Y.[Yasmina] * 1995: Application of image processing in neurobiology: Detection of low signals with high spatial resolution and a non-uniform variance
* 1997: Detection of Small Local Intensity Changes in CCD Images with Nonuniform Illumination and Large-Signal Dependent Noise
Includes: Chitti, Y.[Yasmina] Chitti, Y.

Chittineni, C.B. * 1977: On the estimation of probability of error
* 1980: Learning with imperfectly labeled patterns
* 1980: Signature extension in remote sensing
* 1981: Estimation of probabilities of label imperfections and correction of mislabels
* 1981: Utilization of Spectral-Spatial Information in the Classification of Imagery Data
* 1982: Some approaches to optimal cluster labeling with applications to remote sensing

Chittineni, R.[Rupa] * 2007: Breast Delineation using Active Contours to Facilitate Coregistration of Serial MRI Studies for Therapy Response Evaluation

Chittka, L.[Lars] * 2015: Hierarchical rank-based veiling light estimation for underwater dehazing
* 2016: Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing
* 2018: Underwater image and video dehazing with pure haze region segmentation

Chittupalli, S.[Sravan] * 2024: Physical-space Multi-body Mesh Detection Achieved by Local Alignment and Global Dense Learning

Chittur, K.K. * 1996: Analysis of Skin Oil by FTIR Spectroscopy

Chitty Venkata, K.T.[Krishna Teja] * 2021: Searching Architecture and Precision for U-net based Image Restoration Tasks
Includes: Chitty Venkata, K.T.[Krishna Teja] Chitty-Venkata, K.T.[Krishna Teja]

Index for "c"