Jais, P.[Pierre]
* 2014: Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets
* 2017: Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression
* 2017: VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation
* 2019: Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging
Includes: Jais, P.[Pierre] Jaïs, P.[Pierre]
Jaisakthi, S.M.[Seetharani Murugaiyan]
* 2018: Automated skin lesion segmentation of dermoscopic images using GrabCut and k-means algorithms
Jaisimha, M.Y.
* 1993: Methodology for the Characterization of the Performance of Thinning Algorithms, A
* 1993: Quantitative Methodology for Analyzing the Performance of Detection Algorithms, A
* 1994: Quantitative Performance Evaluation of Thinning Algorithms Under Noisy Conditions
* 1995: Methodology for Quantitative Performance Evaluation of Detection Algorithms, A
Jaisson, M.
* 2012: 3D displays and tracking devices for your browser: A plugin-free approach relying on web standards
Jaisurya, R.S.
* 2023: AGLC-GAN: Attention-based global-local cycle-consistent generative adversarial networks for unpaired single image dehazing
Jaiswal, A.[Ajay]
* 2012: Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose, A
* 2015: Tracking Virus Particles in Fluorescence Microscopy Images Using Multi-Scale Detection and Multi-Frame Association
* 2018: Bidirectional Conditional Generative Adversarial Networks
* 2018: CapsuleGAN: Generative Adversarial Capsule Network
* 2019: AIRD: Adversarial Learning Framework for Image Repurposing Detection
* 2020: Quantification of malaria parasitaemia using trainable semantic segmentation and capsnet
* 2021: Adversarial Mask Generation for Preserving Visual Privacy
* 2021: Class-agnostic Object Detection
* 2021: MEG: Multi-Evidence GNN for Multimodal Semantic Forensics
* 2021: Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
* 2022: Can Visually Impaired Use Gestures to Interact With Computers? A Cognitive Load Perspective
* 2022: FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback
* 2022: Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model
* 2023: Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances
* 2023: FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory
* 2023: Physics-Driven Turbulence Image Restoration with Stochastic Refinement
* 2024: FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
Includes: Jaiswal, A.[Ajay] Jaiswal, A. Jaiswal, A.[Ayush] Jaiswal, A.[Aishwarya]
17 for Jaiswal, A.
Jaiswal, A.R.[Akhilesh R.]
* 2022: Towards Energy-efficient Hyperspectral Image Processing Inside Camera Pixels
* 2023: Enabling ISPless Low-Power Computer Vision
Jaiswal, G.[Garima]
* 2022: DFD-SS: Document Forgery Detection using Spectral-Spatial Features for Hyperspectral Images
Jaiswal, M.
* 2017: Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks
* 2017: Scalable ADMM Algorithm for Rigid Registration, A
* 2018: Assessing Shape Bias Property of Convolutional Neural Networks
* 2019: Video-Text Compliance: Activity Verification Based on Natural Language Instructions
Includes: Jaiswal, M. Jaiswal, M.[Mayoore]
Jaiswal, M.S.[Mayoore S.]
* 2017: Object Boundary Based Denoising for Depth Images
* 2020: MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design
Includes: Jaiswal, M.S.[Mayoore S.] Jaiswal, M.S.
Jaiswal, N.
* 2014: Early Detection of Cyclogenesis Signature Using Global Model Products
* 2016: Multimodel Prediction of Monsoon Rain Using Dynamical Model Selection
Includes: Jaiswal, N. Jaiswal, N.[Neeru]
Jaiswal, R.[Rajat]
* 2022: User-Guided Variable Rate Learned Image Compression
Jaiswal, S.[Shashank]
* 2013: Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild
* 2016: Deep learning the dynamic appearance and shape of facial action units
* 2017: Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data
* 2018: Deep Learned Cumulative Attribute Regression
* 2022: Spectral Representation of Behaviour Primitives for Depression Analysis
* 2022: TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs
* 2023: Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition
* 2023: Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition
Includes: Jaiswal, S.[Shashank] Jaiswal, S. Jaiswal, S.[Shantanu]
8 for Jaiswal, S.
Jaiswal, S.I.[Sun Il]
* 2023: Expanding Synthetic Real-World Degradations for Blind Video Super Resolution
* 2023: High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation
* 2023: Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case
* 2023: NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results
Includes: Jaiswal, S.I.[Sun Il] Jaiswal, S.I.[Sun-Il]
Jaiswal, S.I.P.[Sun Il Prasad]
* 2012: Bit-depth expansion using Minimum Risk Based Classification
* 2013: Efficient adaptive prediction based reversible image watermarking
* 2014: Adaptive Predictor Structure Based Interpolation for Reversible Data Hiding
* 2014: Exploitation of inter-color correlation for color image demosaicking
* 2015: Graph modelling of 3D geometric information for color consistency of multiview images
* 2015: Motion estimation via hierarchical block matching and graph cut
* 2017: Maximum a Posterior and Perceptually Motivated Reconstruction Algorithm: A Generic Framework
Includes: Jaiswal, S.I.P.[Sun Il Prasad] Jaiswal, S.I.P.[Sun-Il Prasad] Jaiswal, S.I.P.[Sun-Il P.]
7 for Jaiswal, S.I.P.
Jaiswal, S.P.
* 2017: Adaptive Multispectral Demosaicking Based on Frequency-Domain Analysis of Spectral Correlation
* 2017: Deep-mapnets: A residual network for 3D environment representation