Index for mada

Mada, B.E. * 2019: Trust-Based Video Management Framework for Social Multimedia Networks

Madaan, D.[Divyam] * 2023: Heterogeneous Continual Learning

Madaan, N.[Nikhil] * 2025: 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Madaan, R.[Ratnesh] * 2023: Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
* 2024: EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields

Madabhushi, A. * 1999: Bayesian Approach to Human Activity Recognition, A
* 2000: Using Head Movement to Recognize Activity
* 2003: Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
* 2005: Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI
* 2005: Generalized scale: Theory, algorithms, and application to image inhomogeneity correction
* 2005: Interplay Between Intensity Standardization and Inhomogeneity Correction in MR Image Processing
* 2006: Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI
* 2009: Histopathological Image Analysis: A Review
* 2010: Pattern Recognition in Histopathological Images: An ICPR 2010 Contest
* 2011: Weighted Maximum Posterior Marginals for Random Fields Using an Ensemble of Conditional Densities From Multiple Markov Chain Monte Carlo Simulations
* 2012: Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery, An
* 2012: Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation
* 2013: Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets
* 2013: Statistical shape model for manifold regularization: Gleason grading of prostate histology
* 2015: Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer
* 2016: Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology
* 2016: Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
* 2021: Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises, A
* 2022: Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma
Includes: Madabhushi, A. Madabhushi, A.[Anant]
19 for Madabhushi, A.

Madabusi, S.[Sudarshan] * 2012: Edge detection for facial images under noisy conditions

Madad, R.[Reza] * 2023: SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning

Madadi, A.[Arash] * 2023: Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention

Madadi, M.[Meysam] * 2014: ChaLearn Looking at People Challenge 2014: Dataset and Results
* 2015: Multi-part body segmentation based on depth maps for soft biometry analysis
* 2017: Occlusion Aware Hand Pose Recovery from Sequences of Depth Images
* 2017: Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges
* 2017: Visualizing Apparent Personality Analysis with Deep Residual Networks
* 2018: Deep Structure Inference Network for Facial Action Unit Recognition
* 2018: Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
* 2018: Top-down model fitting for hand pose recovery in sequences of depth images
* 2019: What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?
* 2020: Cloth3D: Clothed 3D Humans
* 2020: Explainable Early Stopping for Action Unit Recognition
* 2020: Generative Video Face Reenactment by AUs and Gaze Regularization
* 2020: Guest Editorial: Image and Video Inpainting and Denoising
* 2020: SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery
* 2020: Towards automated computer vision: analysis of the AutoCV challenges 2019
* 2021: CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-Ethnicity Face Anti-spoofing
* 2021: Cross-ethnicity face anti-spoofing recognition challenge: A review
* 2021: Deep Parametric Surfaces for 3D Outfit Reconstruction from Single View Image
* 2021: Deep Unsupervised 3D Human Body Reconstruction from a Sparse set of Landmarks
* 2021: DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation
* 2021: UV-based reconstruction of 3D garments from a single RGB image
* 2021: Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019
* 2022: End-to-end global to local convolutional neural network learning for hand pose recovery in depth data
* 2022: Modeling, Recognizing, and Explaining Apparent Personality From Videos
* 2022: Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
* 2023: Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images
* 2024: Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping, A
Includes: Madadi, M.[Meysam] Madadi, M.
27 for Madadi, M.

Madadi, Y.[Yeganeh] * 2020: Deep visual unsupervised domain adaptation for classification tasks: A survey
* 2026: JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge

Madadikhaljan, M. * 2019: Single-Image Dehazing on Aerial Imagery Using Convolutional Neural Networks

Madahi, S.S.K.[Seyed Soroush Karimi] * 2022: Overarching Sustainable Energy Management of PV Integrated EV Parking Lots in Reconfigurable Microgrids Using Generative Adversarial Networks

Madak, M. * 2021: UAV-based 3d Virtual Tour Creation

Madake, J.[Jyoti] * 2023: Enhancing Large Document Organization Through Effective Preprocessing and Data Embedding
* 2025: Recognition and localisation of staircases for visually impaired people

Madala, K.[Kranthi] * 2026: Crop Mapping Using Advanced Deep Learning Framework in Remote Sensing Data

Madali, N.[Nabil] * 2023: Self-Supervised Focus Measure Fusing for Depth Estimation from Computer-Generated Holograms

Madam, N.T.[Nimisha Thekke] * 2018: Analyzing Perception-Distortion Tradeoff Using Enhanced Perceptual Super-Resolution Network
* 2018: PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
* 2018: Unsupervised Class-Specific Deblurring

Madamopoulos, N. * 2018: Comparison of Optimized Mathematical Methods in the Improvement of Raster Data and Map Display Resolution of Sentinel-2 Images

Madan, A.[Anish] * 2022: REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions
* 2023: SLI-pSp: Injecting Multi-Scale Spatial Layout in pSp
* 2024: NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry
* 2025: Semi-Supervised Diffusion-Based Paradigm for Vehicle-Track System Health Monitoring With Distributed Acoustic Sensing, A
* 2025: SMORE: Simultaneous Map and Object REconstruction
* 2026: DAS-Accelerometer Data Fusion With Semi-Supervised Graph Variational Autoencoder for In-Service Train Wheel Flat Detection
Includes: Madan, A.[Anish] Madan, A.[Aayush]

Madan, C.[Chetan] * 2024: FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
* 2025: LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Images

Madan, J.J.[Jason J.] * 2021: Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia

Madan, N.[Neelu] * 2021: Temporal Cues from Socially Unacceptable Trajectories for Anomaly Detection
* 2022: Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
* 2022: Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration, A
* 2023: ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios
* 2024: CL-MAE: Curriculum-Learned Masked Autoencoders
* 2024: Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Includes: Madan, N.[Neelu] Madan, N.[Neelabh]

Madan, P.[Pulkit] * 2023: Painter: Teaching Auto-regressive Language Models to Draw Sketches

Madan, S. * 2003: hybrid approach to character segmentation of Gurmukhi script characters, A
* 2012: Archiving Mural Paintings Using an Ontology Based Approach
* 2021: When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
* 2023: Explainable few-shot learning with visual explanations on a low resource pneumonia dataset
* 2025: MIP-GAF: A MLLM-Annotated Benchmark for Most Important Person Localization and Group Context Understanding
* 2025: Multiview Attention Fusion for Explainable Body Language Behavior Recognition
Includes: Madan, S. Madan, S.[Shipra] Madan, S.[Spandan] Madan, S.[Surbhi]

Madan, S.K.[Siddharth K.] * 2009: Quasiconvex alignment of multimodal skin images for quantitative dermatology

Madanayake, A. * 2012: Row-Parallel 8X8 2-D DCT Architecture Using Algebraic Integer-Based Exact Computation, A
* 2013: Single-Channel Architecture for Algebraic Integer-Based 8X8 2-D DCT Computation, A
* 2015: Discrete Tchebichef Transform Approximation for Image and Video Coding, A
* 2015: Fast computation of residual complexity image similarity metric using low-complexity transforms
* 2015: VLSI architecture for 4-D depth filtering
* 2016: multiplierless pruned DCT-like transformation for image and video compression that requires ten additions only, A
* 2017: Low-Complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform
* 2017: Multiplierless 16-point DCT approximation for low-complexity image and video coding
* 2022: Radix-N Algorithm for Computing N^(2^(n))-Point DFT Approximations
Includes: Madanayake, A. Madanayake, A.[Arjuna]
9 for Madanayake, A.

Madani, A. * 2015: new modeling approach for Arabic opinion mining recognition, A
* 2015: Optimizing self-organizing method in traffic lights with PSO algorithm in a single junction modeled with a cellular automaton
* 2016: Facial Expression Recognition Using Decision Trees
* 2019: Fusing multi-stream deep neural networks for facial expression recognition
Includes: Madani, A. Madani, A.[Abdellah]

Madani, A.T.[Adib Tayeb] * 2016: Dubai 3d Textuerd Mesh Using High Quality Resolution Vertical/Oblique Aerial Imagery

Madani, H.[Houria] * 2019: Joint 3D-Wind Retrievals with Stereoscopic Views from MODIS and GOES
* 2020: GEO-GEO Stereo-Tracking of Atmospheric Motion Vectors (AMVs) from the Geostationary Ring
* 2021: Distance Transform-Based Spectral-Spatial Feature Vector for Hyperspectral Image Classification with Stacked Autoencoder
* 2023: GEO-GEO Stereo-Tracking of Atmospheric Motion Vectors (AMVs) from the Geostationary Ring
Includes: Madani, H.[Houria] Madani, H.[Hadis]

Madani, K. * 2002: new algorithm for target tracking using fuzzy-edge-hased feature matching and robust statistic, A
* 2008: Artificial Neural Networks Based Image Processing and Pattern Recognition: From Concepts to Real-World Applications
* 2012: Image segmentation on spherical coordinate representation of RGB colour space
* 2012: Spherical coordinates framed RGB color space dichromatic reflection model based image segmentation: Application to wildland fires' outlines extraction
* 2013: From visual patterns to semantic description: A cognitive approach using artificial curiosity as the foundation
Includes: Madani, K. Madani, K.[Kurosh]

Madani, M. * 2008: Increasing-Geometric Accuracy of DMC's Virtual Images
* 2012: Accuracy Potential And Applications Of Midas Aerial Oblique Camera System

Madani, N.[Nima] * 2017: Global Analysis of Bioclimatic Controls on Ecosystem Productivity Using Satellite Observations of Solar-Induced Chlorophyll Fluorescence
* 2017: SMAP Level 4 Carbon Product for Monitoring Ecosystem Land-Atmosphere CO2 Exchange, The
Includes: Madani, N.[Nima] Madani, N.

Madani, O.[Omid] * 2012: Weakly Supervised Learning of Object Segmentations from Web-Scale Video

Madani, S. * 2020: Through Fog High-Resolution Imaging Using Millimeter Wave Radar
* 2022: Radatron: Accurate Detection Using Multi-resolution Cascaded MIMO Radar
* 2024: Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
Includes: Madani, S. Madani, S.[Sohrab]

Madani, S.A. * 2013: Survey on blind image forgery detection
* 2014: optical character recognition of Urdu-like cursive scripts, The
Includes: Madani, S.A. Madani, S.A.[Sajjad A.]

Madansky, A. * 1959: Fitting of Straight Lines when Both Variables are Subject to Error, The

Madapana, N. * 2017: Semantical Analytical Approach for Zero Shot Gesture Learning, A
* 2018: Hard Zero Shot Learning for Gesture Recognition
* 2020: Agreement Study Using Gesture Description Analysis
* 2020: Feature Selection for Zero-Shot Gesture Recognition
* 2020: Gesture Agreement Assessment Using Description Vectors
* 2021: One-Shot Image Recognition Using Prototypical Encoders with Reduced Hubness
* 2021: ZF-SSE: A Unified Sequential Semantic Encoder for Zero-Few-Shot Learning
Includes: Madapana, N. Madapana, N.[Naveen]
7 for Madapana, N.

Madar, O.[Or] * 2025: Tiled Diffusion

Madarasingha, C.[Chamara] * 2024: Diffpmae: Diffusion Masked Autoencoders for Point Cloud Reconstruction

Madarasmi, S. * 1992: Texture Segmentation Using Topographic Labels
* 1993: Multi-Layer Surface Segmentation Using Energy Minimization
* 2002: Image search using deformable contours
* 2009: dual belief propagation method for shape recognition, A
* 2018: Personalised-face neutralisation using best-matched face shape with a neutral-face database
Includes: Madarasmi, S. Madarasmi, S.[Suthep]

Madarasz, R.L. * 1981: Relaxation Labeling Using Staged Updating
* 1982: Temporal Constraints for Estimating Optic Flow
* 1985: Recognition of Moving Objects Using Feature Signatures

Madarasz, T.J.[Tamas J.] * 2022: Long-tail Recognition via Compositional Knowledge Transfer

Madariaga, J.I.[Javier I.] * 2025: Almost-Surely Convergent Randomly Activated Monotone Operator Splitting Methods

Madariaga, J.M.[Juan Manuel] * 2026: Spectroscopic and Geochemical Characterization of NWA 11421: Insights into Lunar Crust-Mantle Composition and Implications for Remote Sensing and Moon Exploration

Madariaga, S. * 2017: Augmented film narrative by use of non-photorealistic rendering

Madarieta Txurruka, A.[Asier] * 2024: Comparison of Crustal Stress and Strain Fields in the Himalaya-Tibet Region: Geodynamic Implications
Includes: Madarieta Txurruka, A.[Asier] Madarieta-Txurruka, A.[Asier]

Madarieta, M.[Maria] * 2008: Analysis of Improvements for Voter Interfaces in Polling Station and Remote Electronic Voting Systems, An

Madarkar, J.[Jitendra] * 2021: Sparse representation for face recognition: A review paper

Madarkar, S.S.[Shanawaj S] * 2025: Rel-SA: Alzheimer's Disease Detection Using Relevance-augmented Self Attention by Inducing Domain Priors in Vision Transformers

Madasamy, A.K.[Anand Kumar] * 2025: High-Spatial-Resolution Estimation of XCO2 Using a Stacked Ensemble Model

Madasu, A.[Avinash] * 2021: Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis
* 2023: Is Multimodal Vision Supervision Beneficial to Language?
* 2024: Affective Visual Dialog: A Large-scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
* 2024: ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models
* 2024: SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples

Madasu, H.[Hanmandlu] * 2018: Information set based features for the speed invariant gait recognition

Madasu, V.[Vamsi] * 2008: Detecting Uncommon Trajectories
* 2009: Context-Based Approach for Detecting Suspicious Behaviours, A
* 2010: Decision Level Fusion Using t-Norms
* 2010: Update-Describe Approach for Human Action Recognition in Surveillance Video, An
* 2012: suspicious behaviour detection using a context space model for smart surveillance systems, A

Madasu, V.K.[Vamsi Krishna] * 2003: Fuzzy Modeling Based Recognition of Multi-font Numerals
* 2005: Off-line signature verification and forgery detection using fuzzy modeling
* 2007: Fuzzy Edge Detection in Biometric Systems
* 2008: Fuzzy Co-Clustering of medical images using bacterial foraging
* 2009: Abandoned Object Detection System Based on Dual Background Segmentation, An
* 2009: Biometric Authentication Based on Infrared Thermal Hand Vein Patterns
* 2009: Blotch Detection in Pigmented Skin Lesions Using Fuzzy Co-clustering and Texture Segmentation
* 2010: Histo-pathological image analysis using OS-FCM and level sets
* 2011: palm print authentication system using quantized phase feature representation, A
Includes: Madasu, V.K.[Vamsi Krishna] Madasu, V.K. Madasu, V.K.[Vamsi K.]
9 for Madasu, V.K.

Madathil, B.[Baburaj] * 2017: novel dictionary-based approach for missing sample recovery of signals in manifold, A
* 2019: Simultaneous Reconstruction and Anomaly Detection of Subsampled Hyperspectral Images Using l_(1/2) Regularized Joint Sparse and Low-Rank Recovery
* 2020: Entropy-Based Reweighted Tensor Completion Technique for Video Recovery
Includes: Madathil, B.[Baburaj] Madathil, B.

Madathil, D.[Deepa] * 2021: Echocardiography image segmentation using semi-automatic numerical optimisation method based on wavelet decomposition thresholding

Madathil, K. * 2014: Interactive breadboard activity simulation (IBAS) for psychomotor skills education in electrical circuitry

Madavan, R.R.[Rakesh Raj] * 2025: GANESH: Generalizable NeRF for Lensless Imaging

Maday, P.[Peter] * 2010: Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)

Index for "m"