Babu, A.[Asaduzzaman]
* 2013: SRAD with Weighted Diffusion Function
Babu, A.P.[Anto P.]
* 2010: Pre and Post Processing Approaches in Edge Detection for Character Recognition
* 2013: Continuous speech coding using coiflets wavelet
Babu, A.R.[Ashwin Ramesh]
* 2017: VoTrE: A Vocational Training and Evaluation System to Compare Training Approaches for the Workplace
* 2023: RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning
* 2023: Robustness with Query-efficient Adversarial Attack using Reinforcement Learning
* 2024: Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness
Babu, C.N.[C. Narendra]
* 2021: Sparse Bayesian Learning Assisted Approaches for Road Network Traffic State Estimation
* 2022: Spatio-Temporal Constraint-Based Low Rank Matrix Completion Approaches for Road Traffic Networks
Babu, C.S.[C. Sobhan]
* 2022: mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions
Babu, D.R.R.[D. R. Ramesh]
* 2011: Scale weight selection for feature extraction using complex wavelets: A framework
* 2011: SiMOR: Single Moving Object Recognition
Includes: Babu, D.R.R.[D. R. Ramesh] Babu, D.R.R.[D.R. Ramesh]
Babu, D.S.[Deepak Sam]
* 2020: Learning to Count in the Crowd from Limited Labeled Data
Babu, D.V.[D. Vijendra]
* 2022: Cloud security based attack detection using transductive learning integrated with Hidden Markov Model
Babu, G.C.[Gokulnath Chandra]
* 2023: Agreement-Induced Data Verification Model for Securing Vehicular Communication in Intelligent Transportation Systems
Babu, G.H.[G. Harish]
* 2023: Development and performance evaluation of enhanced image dehazing method using deep learning networks
Babu, G.P.[G. Phanendra]
* 1994: Clustering with evolution strategies
* 1995: Optimal Thresholding Using Multi-State Stochastic Connectionist Approach
* 1997: Self-Organizing Neural Networks for Spatial Data
Includes: Babu, G.P.[G. Phanendra] Babu, G.P.
Babu, G.R.
* 2011: Investigation into the Use of Partial Face in the Mobile Environment, An
Babu, G.S.
* 2016: Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition
* 2022: Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep learning model
Includes: Babu, G.S. Babu, G.S.[G. Stalin]
Babu, I.R.[Inampudi Ramesh]
* 2007: Biometric Template Classification: A Case Study in Iris Textures
Babu, J.D.[J. Dinesh]
* 2021: SignPose: Sign Language Animation Through 3D Pose Lifting
Babu, J.J.J.[J. Jai Jaganath]
* 2014: Non-subsampled contourlet transform based image Denoising in ultrasound thyroid images using adaptive binary morphological operations
Babu, K.A.
* 2011: hardware/software co-design model for face recognition using Cognimem Neural Network chip, A
Babu, K.H.[K. Hari]
* 2017: Cytopathological image analysis using deep-learning networks in microfluidic microscopy
Babu, K.N.
* 2018: Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Quality Assessment and Unique Characteristics of AltiKa Data, The
Babu, K.R.
* 1978: Linear Feature Extraction
* 1979: Linear Feature Extraction
* 1980: Linear Feature Extraction and Description
Babu, K.S.[Korra Sathya]
* 2017: Harnessing Online News for Sarcasm Detection in Hindi Tweets
* 2021: hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition, A
* 2022: Facial expression recognition system based on variational mode decomposition and whale optimized KELM
Babu, M.D.R.[Mohan D.R.]
* 1985: Determining Plane Orientation from Specular Reflectance
Babu, M.N.[M. Naresh]
* 2010: Histo-pathological image analysis using OS-FCM and level sets
Babu, M.V.S.S.
* 2013: Performance improvement in smart antenna by modified swarm algorithm
Babu, N.[Nija]
* 2008: Degraded Document Image Enhancement Using Hybrid Thresholding and Mathematical Morphology
* 2015: Development of Decadal (1985-1995-2005) Land Use and Land Cover Database for India
Includes: Babu, N.[Nija] Babu, N.[Nani]
Babu, N.C.[Nithin C]
* 2023: No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images
Babu, N.T.N.
* 2010: Face recognition using discrete cosine transform and Fisher linear discriminant
* 2011: Efficient Face Recognition System Using DWT-ICA Features, An
Includes: Babu, N.T.N. Babu, N.T.N.[N.T. Naresh]
Babu, N.V.
* 2022: Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries
Babu, P.[Pavithra]
* 2006: Automated Scoring of Handwritten Essays Based on Latent Semantic Analysis
* 2015: Contrast enhancement using real coded genetic algorithm based modified histogram equalization for gray scale images
* 2016: MELT: Maximum-Likelihood Estimation of Low-Rank Toeplitz Covariance Matrix
* 2022: Covariance Matrix Estimation Under Positivity Constraints With Application to Portfolio Selection
* 2022: Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals
* 2022: Maximum Likelihood Algorithm for Time-Delay Based Multistatic Target Localization
* 2022: Multiple Hypothesis Testing-Based Cepstrum Thresholding for Nonparametric Spectral Estimation
* 2022: PGPAL: A Monotonic Iterative Algorithm for Phase-Retrieval Under the Presence of Poisson-Gaussian Noise
Includes: Babu, P.[Pavithra] Babu, P. Babu, P.[Prabhu]
8 for Babu, P.
Babu, P.R.K.[Pradeep Raj Krishnappa]
* 2023: Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder
Babu, R.[Reshma]
* 2024: KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos
Babu, R.K.R.[Raghavendra Koppuram Ramesh]
* 2023: Decoding the Dynamics of Climate Change Impact: Temporal Patterns of Surface Warming and Melting on the Nivlisen Ice Shelf, Dronning Maud Land, East Antarctica
Babu, R.V.[R. Venkatesh]
* 2001: Compressed Domain Action Classification Using HMM
* 2002: Compressed Domain Action Classification Using HMM
* 2003: Compressed domain human motion recognition using motion history information
* 2004: Recognition of human actions using motion history information extracted from the compressed video
* 2004: Sprite Generation From Mpeg Video Using Motion Information
* 2004: Video Object Segmentation: A Compressed Domain Approach
* 2005: HVS-Based No-Reference Perceptual Quality Assessment of JPEG Coded Images Using Neural Networks, An
* 2005: Robust Tracking with Motion Estimation and Local Kernel-Based Color Modeling
* 2006: GAP-RBF Based NR Image Quality Measurement for JPEG Coded Images
* 2006: Image Quality Measurement Using Sparse Extreme Learning Machine Classifier
* 2006: Kernel-Based Robust Tracking for Objects Undergoing Occlusion
* 2006: Object-based Surveillance Video Compression using Foreground Motion Compensation
* 2007: Feature Fusion for Robust Object Tracking Using Fragmented Particles
* 2007: Robust Object Tracking using Local Kernels and Background Information
* 2007: Robust Tracking with Motion Estimation and Local Kernel-Based Color Modeling
* 2008: Robust object tracking with background-weighted local kernels
* 2010: Fragmented Particles-based Robust Object Tracking With Feature Fusion
* 2010: Online adaptive radial basis function networks for robust object tracking
* 2012: Fragment-based real-time object tracking: A sparse representation approach
* 2012: Optic disk localization using L1 minimization
* 2013: Context-aware real-time tracking in sparse representation framework
* 2013: Fast moving-object detection in H.264/AVC compressed domain for video surveillance
* 2013: Interest points based object tracking via sparse representation
* 2013: OD-Match: PatchMatch based Optic Disk detection
* 2013: Rapid human action recognition in H.264/AVC compressed domain for video surveillance
* 2013: Real time anomaly detection in H.264 compressed videos
* 2013: Real-time human action recognition from motion capture data
* 2013: Real-time robust tracking via sparse representation: A mode-seeking approach
* 2013: Spatio-temporal feature based VLAD for efficient video retrieval
* 2013: Speeding up SIFT using GPU
* 2014: FeatureMatch: A General ANNF Estimation Technique and its Applications
* 2014: SeamSeg: Video Object Segmentation Using Patch Seams
* 2014: Sparse representation based anomaly detection with enhanced local dictionaries
* 2014: Super-pixel based crowd flow segmentation in H.264 compressed videos
* 2015: Attribute-Graph: A Graph Based Approach to Image Ranking
* 2015: Crowd flow segmentation in compressed domain using CRF
* 2015: Data-free Parameter Pruning for Deep Neural Networks
* 2015: Dominant flow extraction and analysis in traffic surveillance videos
* 2015: Object level deep feature pooling for compact image representation
* 2015: Robust tracking with interest points: A sparse representation approach
* 2015: Salient object detection via objectness measure
* 2016: Partly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems
* 2016: Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation
* 2016: Sparse Representation-Based Human Detection: A Scale-Embedded dictionary approach
* 2017: DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations
* 2017: DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs
* 2017: DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data
* 2017: Evaluating Multiexposure Fusion Using Image Information
* 2017: Image Denoising via CNNs: An Adversarial Approach
* 2017: Switching Convolutional Neural Network for Crowd Counting
* 2017: Training Sparse Neural Networks
* 2018: 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image
* 2018: AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
* 2018: Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions
* 2018: Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
* 2018: Gray-Box Adversarial Training
* 2018: NAG: Network for Adversary Generation
* 2018: Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence
* 2018: real-time implementation of SIFT using GPU, A
* 2019: CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions
* 2019: Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)
* 2019: Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations
* 2020: Adversarial Fooling Beyond Flipping the Label
* 2020: Appearance Consensus Driven Self-supervised Human Mesh Recovery
* 2020: Class-incremental Domain Adaptation
* 2020: Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions
* 2020: From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks
* 2020: Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds
* 2020: Learning to Count in the Crowd from Limited Labeled Data
* 2020: Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models
* 2020: Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training
* 2020: Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks
* 2020: Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
* 2020: Single-Step Adversarial Training With Dropout Scheduling
* 2020: Text-based Person Search via Attribute-aided Matching
* 2020: Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
* 2020: Towards Inheritable Models for Open-Set Domain Adaptation
* 2020: Towards Practical and Efficient High-resolution HDR Deghosting with CNN
* 2020: Universal Source-Free Domain Adaptation
* 2020: Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion
* 2020: Unsupervised Cross-modal Alignment for Multi-person 3d Pose Estimation
* 2020: VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform
* 2021: Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
* 2021: Deep Implicit Surface Point Prediction Networks
* 2021: Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
* 2021: Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting
* 2021: Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection
* 2021: Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions
* 2021: S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
* 2022: Completely Self-supervised Crowd Counting via Distribution Matching
* 2022: Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
* 2022: Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
* 2022: Improving GANs for Long-Tailed Data Through Group Spectral Regularization
* 2022: LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity
* 2022: Scaling Adversarial Training to Large Perturbation Bounds
* 2022: Towards Data-Free Model Stealing in a Hard Label Setting
* 2022: Towards Efficient and Effective Self-supervised Learning of Visual Representations
* 2022: Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
* 2023: Certified Adversarial Robustness Within Multiple Perturbation Bounds
* 2023: Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation
* 2023: DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
* 2023: Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
* 2023: Inspecting the Geographical Representativeness of Images from Text-to-Image Models
* 2023: NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs
* 2023: RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases
* 2023: Strata-NeRF : Neural Radiance Fields for Stratified Scenes
* 2024: Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation
* 2024: Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
Includes: Babu, R.V.[R. Venkatesh] Babu, R.V. Babu, R.V.[R.Venkatesh]
108 for Babu, R.V.
Babu, S.[Sreenu]
* 2004: Quality and complexity comparison of H.264 intra mode with JPEG2000 and JPEG
* 2004: Towards Recovery of 3D Chromosome Structure
* 2013: Comparing usability of a single versus dual interaction metaphor in a multitask healthcare simulation
* 2021: Domain-Independent Dominance of Adaptive Methods
Includes: Babu, S.[Sreenu] Babu, S.[Sabarish] Babu, S. Babu, S.[Sudarshan]
Babu, S.R.[Saginela Ravindra]
* 2021: Influence of Indian Summer Monsoon on Tropopause, Trace Gases and Aerosols in Asian Summer Monsoon Anticyclone Observed by COSMIC, MLS and CALIPSO
* 2023: Impact of Hunga Tonga-Hunga Ha'apai Volcanic Eruption on Stratospheric Water Vapour, Temperature, and Ozone
Babu, S.S.
* 2019: Recent Regime Shifts in Mineral Dust Trends Over South Asia From Long-Term CALIPSO Observations
Babu, S.V.
* 2014: Interactive breadboard activity simulation (IBAS) for psychomotor skills education in electrical circuitry
* 2015: Carryover effects of calibration to visual and proprioceptive information on near field distance judgments in 3D user interaction
* 2020: Investigating the Effects of Display Fidelity of Popular Head-mounted Displays on Spatial Updating and Learning in Virtual Reality
Includes: Babu, S.V. Babu, S.V.[Sabarish V.]
Babu, T.[Tina]
* 2020: Colon cancer prediction using 2DReCA segmentation and hybrid features on histopathology images
Babu, T.R.[T. Ravindra]
* 2001: Comparison of genetic algorithm based prototype selection schemes
* 2007: Classification of run-length encoded binary data
Babu, V.
* 2007: Elastic Matching of Online Handwritten Tamil and Telugu Scripts Using Local Features
* 2007: HMM-Based Online Handwriting Recognition System for Telugu Symbols
* 2016: Learning Neural Network Architectures using Backpropagation
* 2022: SISL:Self-Supervised Image Signature Learning for Splicing Detection & Localization
Includes: Babu, V. Babu, V.[Venkatesh]
Babu, V.S.[V. Suresh]
* 2007: Weighted k-Nearest Leader Classifier for Large Data Sets
* 2009: Rough-DBSCAN: A fast hybrid density based clustering method for large data sets
* 2009: Rough-fuzzy weighted k-nearest leader classifier for large data sets
Babuca, D.[Dominika]
* 2022: GIS-Based Approach for the Analysis of Geographical Education Paths
Baburaj, A.[Arya]
* 2020: Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
Baburaj, P.
* 2012: Discrete-time integral sliding-mode flow control for connection-oriented communication networks
Baburajan, V.[Vishnu]
* 2021: Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis
Babuska, R.[Robert]
* 2022: ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers
Includes: Babuska, R.[Robert] Babuška, R.[Robert]