Maji, A.K.[Arnab Kumar]
* 2022: Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Maji, D.[Debapriya]
* 2022: YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
* 2024: YOLO-6D-Pose: Enhancing YOLO for Single-Stage Monocular Multi-Object 6D Pose Estimation
Maji, K.J.[Kamal J.]
* 2023: Analysis of Prescribed Fire Activities and Emissions in the Southeastern United States from 2013 to 2020, An
Maji, P.
* 2011: Fuzzy-Rough Supervised Attribute Clustering Algorithm and Classification of Microarray Data
* 2013: Contraharmonic Mean Based Bias Field Correction in MR Images
* 2013: Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI
* 2013: Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index
* 2015: automated method for counting and characterizing red blood cells using mathematical morphology, An
* 2015: New Post-processing Method to Detect Brain Tumor Using Rough-Fuzzy Clustering, A
* 2015: New Similarity Measure for Identification of Disease Genes, A
* 2015: Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images
* 2015: simple skull stripping algorithm for brain MRI, A
* 2017: New Method to Address Singularity Problem in Multimodal Data Analysis, A
* 2018: Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation
* 2020: Circular Clustering in Fuzzy Approximation Spaces for Color Normalization of Histological Images
* 2020: Rough segmentation of coherent local intensity for bias induced 3-D MR brain images
* 2020: Spatially Constrained Probabilistic Model for Robust Image Segmentation, A
* 2021: Approximate Graph Laplacians for Multimodal Data Clustering
* 2021: Rough-Bayesian approach to select class-pair specific descriptors for HEp-2 cell staining pattern recognition
* 2021: Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
* 2022: TinyOps: ImageNet Scale Deep Learning on Microcontrollers
* 2023: Truncated Normal Mixture Prior Based Deep Latent Model for Color Normalization of Histology Images
* 2024: Interleaving One-class and Weakly-supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
Includes: Maji, P. Maji, P.[Pradipta] Maji, P.[Partha]
20 for Maji, P.
Maji, S.
* 2006: Confidence Based updation of Motion Conspicuity in Dynamic Scenes
* 2008: Classification using intersection kernel support vector machines is efficient
* 2009: Max-margin additive classifiers for detection
* 2009: Object detection using a max-margin Hough transform
* 2010: Detecting People Using Mutually Consistent Poselet Activations
* 2011: Action recognition from a distributed representation of pose and appearance
* 2011: Biased normalized cuts
* 2011: Describing people: A poselet-based approach to attribute classification
* 2011: Object segmentation by alignment of poselet activations to image contours
* 2011: Semantic contours from inverse detectors
* 2012: Discovering a Lexicon of Parts and Attributes
* 2012: Linearized Smooth Additive Classifiers
* 2013: Efficient Classification for Additive Kernel SVMs
* 2013: Part Discovery from Partial Correspondence
* 2014: Describing Textures in the Wild
* 2014: Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection
* 2014: Parsing World's Skylines Using Shape-Constrained MRFs
* 2014: Part and Attribute Discovery from Relative Annotations
* 2014: Similarity Comparisons for Interactive Fine-Grained Categorization
* 2014: Understanding Objects in Detail with Fine-Grained Attributes
* 2015: Bilinear CNN Models for Fine-Grained Visual Recognition
* 2015: Deep filter banks for texture recognition and segmentation
* 2015: Learning Localized Perceptual Similarity Metrics for Interactive Categorization
* 2015: Multi-view Convolutional Neural Networks for 3D Shape Recognition
* 2016: Deep Filter Banks for Texture Recognition, Description, and Segmentation
* 2016: Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery
* 2016: One-to-many face recognition with bilinear CNNs
* 2016: Visualizing and Understanding Deep Texture Representations
* 2017: 3D Shape Segmentation with Projective Convolutional Networks
* 2017: Reasoning About Fine-Grained Attribute Phrases Using Reference Games
* 2017: Texture Attribute Synthesis and Transfer Using Feed-Forward CNNs
* 2018: Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition
* 2018: CSGNet: Neural Shape Parser for Constructive Solid Geometry
* 2018: Deeper Look at 3D Shape Classifiers, A
* 2018: Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision
* 2018: Multiresolution Tree Networks for 3D Point Cloud Processing
* 2018: Second-Order Democratic Aggregation
* 2018: SPLATNet: Sparse Lattice Networks for Point Cloud Processing
* 2019: Bayesian Perspective on the Deep Image Prior, A
* 2019: Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation
* 2019: Meta-Learning With Differentiable Convex Optimization
* 2019: Shape Reconstruction Using Differentiable Projections and Deep Priors
* 2019: Task2Vec: Task Embedding for Meta-Learning
* 2020: Active Adversarial Domain Adaptation
* 2020: Describing Textures Using Natural Language
* 2020: Inferring 3D Shapes from Image Collections Using Adversarial Networks
* 2020: Label-efficient Learning on Point Clouds Using Approximate Convex Decompositions
* 2020: Learning Generative Models of Shape Handles
* 2020: Parsenet: A Parametric Surface Fitting Network for 3d Point Clouds
* 2020: PhraseCut: Language-Based Image Segmentation in the Wild
* 2020: When Does Self-supervision Improve Few-shot Learning?
* 2021: Deep Manifold Prior
* 2021: Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
* 2021: On Equivariant and Invariant Learning of Object Landmark Representations
* 2021: Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification, A
* 2021: Shot in the Dark: Few-Shot Learning with No Base-Class Labels
* 2022: Cross-modal 3D Shape Generation and Manipulation
* 2022: Domain Adaptors for Hyperspectral Images
* 2022: GANORCON: Are Generative Models Useful for Few-shot Segmentation?
* 2022: Improving Few-Shot Part Segmentation Using Coarse Supervision
* 2022: MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation
* 2022: Neural Shape Parsers for Constructive Solid Geometry
* 2022: On Measuring and Controlling the Spectral Bias of the Deep Image Prior
* 2023: Accidental Turntables: Learning 3D Pose by Watching Objects Turn
* 2023: COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification
* 2023: LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
* 2023: PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition
* 2024: Human-in-the-loop Visual Re-ID for Population Size Estimation
* 2024: Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
* 2024: Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
* 2025: T-SAM: Transductive Learning for Segment Anything Model
Includes: Maji, S. Maji, S.[Subhransu]
71 for Maji, S.
Maji, S.K.[Suman Kumar]
* 2014: Edges, transitions and criticality
* 2016: Multifractal-Based Wavefront Phase Estimation Technique for Ground-Based Astronomical Observations, A
* 2020: Proximal approach to denoising hyperspectral images under mixed-noise model
* 2020: SAR image denoising based on multifractal feature analysis and TV regularisation
* 2023: Multi scale pixel attention and feature extraction based neural network for image denoising
* 2025: GIADNet: Gradient Inspired Attention Driven Denoising Network
* 2025: SAR-CDCFRN: A novel SAR despeckling approach utilizing correlated dual channel feature-based residual network
* 2026: Integrated multi-channel approach for speckle noise reduction in SAR imagery using gradient, spatial, and frequency analysis
* 2026: MGMSDNet: Multi gradient multi scale attention driven denoiser network
Includes: Maji, S.K.[Suman Kumar] Maji, S.K.
9 for Maji, S.K.
Majid, A.[Abdul]
* 2008: Machine learning based adaptive watermark decoding in view of anticipated attack
* 2010: novel noise-free pixels based impulse noise filtering, A
Majid, A.A.[Ahmad Abdul]
* 2008: Automatic G1 Surface Reconstruction from Serial Cross-Sectional Images
Majid, F.[Fadhil]
* 2022: Epoch-Based Height Reference System for Sea Level Rise Impact Assessment on the Coast of Peninsular Malaysia
Majid, H.[Hooriya]
* 2017: Transparent encryption with scalable video communication: Lower-latency, CABAC-based schemes
Majid, M.[Muhammad]
* 2012: Redundancy controllable scalable unbalanced multiple description bitstream generation for peer-to-peer video streaming
* 2017: Quantification of Human Stress Using Commercially Available Single Channel EEG Headset
* 2018: Emotion recognition from facial expressions using hybrid feature descriptors
* 2019: Generation of personalized video summaries by detecting viewer's emotion using electroencephalography
Majid, W.A.
* 2014: Real-Time Adaptive Event Detection in Astronomical Data Streams
Majid, Z.
* 2008: Integration of Stereophotogrammetry and Triangulation-Based Laser Scanning System for Precise Mapping of Craniofacial Morphology
* 2015: Terrestrial Laser Scanners Self-Calibration Study: Datum Constraints Analyses for Network Configurations
* 2016: Geospatial Analysis of Urban Land Use Pattern Analysis for Hemorrhagic Fever Risk: A Review
* 2016: Study About Terrestrial Laser Scanning for Reconstruction of Precast Concrete to Support Qlassic Assessment, A
* 2016: Study on the Durability of Submerged Structure Displacement Due to Concrete Failure, The
* 2016: Three-dimensional Recording Of Bastion Middleburg Monument Using Terrestrial Laser Scanner
* 2017: Camera Calibration Accuracy at Different UAV Flying Heights
* 2017: Integration of Point Clouds Dataset From Different Sensors
* 2017: Three-dimensional Mapping of An Ancient Cave Paintings Using Close-range Photogrammetry And Terrestrial Laser Scanning Technologies
* 2018: Comparing the Performance of Point Cloud Registration Methods For Landslide Monitoring Using Mobile Laser Scanning Data
* 2018: Comprehensive Analysis of Flying Altitude for High Resolution Slope Mapping Using UAV Technology
* 2018: Evaluating Mobile Laser Scanning For Landslide Monitoring
* 2018: Evaluating the Performance of Terrestrial Laser Scanning for Landslide Monitoring
* 2018: Integration of GIS and BIM Techniques in Construction Project Management: A Review
* 2018: Suitability of Terrestrial Laser Scanning for Strata Building, The
* 2019: 3d Modeling for Rock Art Documentation Using Lightweight Multispectral Camera
* 2019: Capabilities of Unmanned Aerial Vehicle for Slope Classification, The
* 2019: Development of Geodatabase for Archaeological Site in Bujang Valley Kedah
* 2019: Integration Between Unmanned Aerial Vehicle and Terrestrial Laser Scanner in Producing 3d Model
* 2019: Measurement Accuracy On 3d Point Cloud Generated Using Multispectral Imagery By Different Calibration Methods
* 2019: Practical Terrestrial Laser Scanning Field Procedure and Point Cloud Processing for BIM Application: TNB Control and Relay Room 132/22kv
* 2019: Suitability of Terrestrial Laser Scanning for Building Survey and Mapping Applications, The
* 2019: Three-dimensional Recording and Photorealistic Model Reconstruction For Virtual Museum Application: An Experience in Malaysia
* 2020: 3d Geometric Extraction Using Segmentation for Asset Management
* 2020: Conceptual Model of 3d Asset Management Based on Myspata to Support Smart City Application In Malaysia
* 2020: Integration of BIM and GIS In Construction Project: A Data Consistency Review, The
* 2021: Data Interoperability of Building Information Modeling and Geographic Information System In Construction Industry
27 for Majid, Z.
Majidi, B.
* 2009: Aerial tracking of elongated objects in rural environments
* 2021: Autonomous Road Pavement Inspection and Defect Analysis for Smart City Maintenance
Includes: Majidi, B. Majidi, B.[Babak]
Majidi, H.
* 2016: Robust X-Ray Phase Ptycho-Tomography
Majidi, M.
* 2013: Investigation of Polarization Phase Difference Related to Forest Fields Characterizations
* 2021: ECF-Based Estimator for the LOS Power in Uplink NOMA System With Unknown Impulsive Noise
Includes: Majidi, M. Majidi, M.[Mahdi]
Majidian, S.[Sina]
* 2019: Haplotype Assembly Using Manifold Optimization and Error Correction Mechanism
Majidpour, J.[Jafar]
* 2022: Generating Spectrum Images from Different Types: Visible, Thermal, and Infrared Based on Autoencoder Architecture (GVTI-AE)
* 2023: BCS-AE: Integrated Image Compression-Encryption Model Based on AE and Block-CS
Majikes, J.
* 2014: Toward Cyber-Enhanced Working Dogs for Search and Rescue
Majin, J.J.
* 2021: Novel Deep Learning Based Method for Detection and Counting Of Vehicles In Urban Traffic Surveillance Systems, A
* 2021: Novel Method for Inspection Defects in Commercial Eggs Using Computer Vision, A
Majithia, S.[Sahib]
* 2022: Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems