Kalra, A.
* 2015: Point Tracking on a thin elastomer to emulate Skin-stretch induced motion artifacts in Electrocardiogram measurements
* 2019: Matrix Nets: A New Deep Architecture for Object Detection
* 2020: Deep Polarization Cues for Transparent Object Segmentation
* 2021: Towards Rotation Invariance in Object Detection
Includes: Kalra, A. Kalra, A.[Agastya]
Kalra, F.
* 1996: Synthetic and hybrid imaging in the HUMANOID and VIDAS projects
Kalra, M.
* 2006: Generic Object Recognition Using a Combination of ICA and Shape Cues
* 2006: Pose Invariant Generic Object Recognition with Orthogonal Axis Manifolds in Linear Subspace
* 2010: Hierarchical Multi-classifier Framework for Landform Segmentation Using Multi-spectral Satellite Images: A Case Study over the Indian Subcontinent, A
* 2020: Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis
* 2021: Online variational inference on finite multivariate Beta mixture models for medical applications
* 2023: COVID-19: A systematic review of prediction and classification techniques
Includes: Kalra, M. Kalra, M.[Manisha] Kalra, M.[Meeta] Kalra, M.[Mala]
Kalra, M.K.
* 2017: Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction
* 2017: Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
* 2018: 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
* 2018: 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
* 2018: Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
* 2020: Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising
* 2021: Deep Interactive Denoiser (DID) for X-Ray Computed Tomography
Includes: Kalra, M.K. Kalra, M.K.[Mannudeep K.]
7 for Kalra, M.K.
Kalra, N.[Naveen]
* 2011: Prediction of Cirrhosis Based on Singular Value Decomposition of Gray Level Co-Occurence Matrix and a Neural Network Classifier
* 2011: Prediction of cirrhosis from liver ultrasound B-mode images based on Laws' masks analysis
* 2011: Rapid Approach for Prediction of Liver Cirrhosis based on First Order Statistics, A
* 2012: SVM-Based Characterization of Liver Ultrasound Images Using Wavelet Packet Texture Descriptors
* 2013: Characterization of Primary and Secondary Malignant Liver Lesions from B-Mode Ultrasound
* 2013: comparative study of computer-aided classification systems for focal hepatic lesions from B-mode ultrasound, A
* 2013: PCA-SVM based CAD System for Focal Liver Lesions using B-Mode Ultrasound Images
* 2013: Prediction of liver cirrhosis based on multiresolution texture descriptors from B-mode ultrasound
* 2013: SVM-based characterisation of liver cirrhosis by singular value decomposition of GLCM matrix
* 2014: Neural Network Ensemble Based CAD System for Focal Liver Lesions from B-Mode Ultrasound
* 2020: Domain Adaptation Through Task Distillation
Includes: Kalra, N.[Naveen] Kalra, N.[Nimit]
11 for Kalra, N.
Kalra, P.[Prem]
* 2002: Towards an Automatic Approach for View-Dependent Geometry
* 2004: uncalibrated lightfield acquisition system, An
* 2008: Explosion Simulation Using Compressible Fluids
* 2010: Efficient Graph Cut Algorithm for Computer Vision Problems, An
* 2010: Identity Determination with Offline Handwritten Input Using Multi Kernel Feature Combination
* 2011: Interactive Image Restoration Using Inpainting and Denoising
* 2012: Coarse Head Pose Estimation using Image Abstraction
* 2012: Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP
* 2013: Most Discriminative Primitive Selection for Identity Determination Using Handwritten Devanagari Script
* 2013: Off-line skilled forgery detection on handwritten Devanagri script
* 2014: Off-line hand written input based identity determination using multi kernel feature combination
* 2014: Realistic Walkthrough of Cultural Heritage Sites-Hampi
* 2019: Latent Fingerprint Enhancement Using Generative Adversarial Networks
Includes: Kalra, P.[Prem] Kalra, P. Kalra, p.
13 for Kalra, P.
Kalra, P.K.
* 2004: Modeling of free-form surfaces and shape from shading
* 2006: Super Resolution Using Graph-Cut
* 2007: Image registration using robust M-estimators
* 2007: Super Resolution of Images of 3D Scenecs
* 2008: Design and Implementation of a Robust Palm Biometrics Recognition and Verification System
* 2008: On Improving Space-Time Super Resolution Using a Small Set of Video Inputs
* 2009: Time based Activity Inference using Latent Dirichlet Allocation
* 2010: Unsupervised discovery of activity correlations using latent topic models
* 2011: Latent topic model-based group activity discovery
* 2011: Space-Time Super-Resolution Using Graph-Cut Optimization
* 2012: Unsupervised Discovery of Activities and Their Temporal Behaviour
* 2014: Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems
* 2015: Generalized Flows for Optimal Inference in Higher Order MRF-MAP
* 2021: Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout
* 2023: From Feline Classification to Skills Evaluation: A Multitask Learning Framework for Evaluating Micro Suturing Neurosurgical Skills
Includes: Kalra, P.K. Kalra, P.K.[Prem Kumar] Kalra, P.K.[Prem K.]
15 for Kalra, P.K.
Kalra, S.
* 1998: Bidirectional Motion Estimation via Vector Propagation
* 1999: MRF Model Based Scheme for Accurate Detection and Adaptive Interpolation of Missing Data in Highly Corrupted Image Sequences, A
* 1999: On the Computational Aspects of Gibbs-Markov Random Field Modeling of Missing-Data in Image Sequences
* 2013: Noise robust rotation invariant features for texture classification
* 2013: Rotation Invariant Local Frequency Descriptors for Texture Classification
* 2014: Robust Edge Aware Descriptor for Image Matching
* 2014: Robust Volumetric Texture Classification of Magnetic Resonance Images of the Brain Using Local Frequency Descriptor
* 2016: Learning opposites using neural networks
* 2017: Classification and Retrieval of Digital Pathology Scans: A New Dataset
* 2017: Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks
* 2018: Multiple disjoint dictionaries for representation of histopathology images
* 2020: Learning Permutation Invariant Representations Using Memory Networks
* 2020: Representation Learning of Histopathology Images using Graph Neural Networks
* 2021: Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights, A
* 2022: Context-Aware Streaming Perception in Dynamic Environments
Includes: Kalra, S. Kalra, S.[Showbhik] Kalra, S.[Sanjay] Kalra, S.[Shivam] Kalra, S.[Sukrit]
15 for Kalra, S.