Shriberg, E.E.[Elizabeth E.]
* 2000: MAESTRO: Conductor of Multimedia Analysis Technologies
* 2016: Conversational In-Vehicle Dialog Systems: The past, present, and future
Includes: Shriberg, E.E.[Elizabeth E.] Shriberg, E.E.
Shridhar, M.
* 1984: Handwritten Numeral Recognition by Tree Classification Methods
* 1984: High Accuracy Character Recognition Algorithm Using Fourier and Topological Descriptors
* 1984: Tree Classification Algorithm for Handwritten Character Recognition, A
* 1985: High-Accuracy Syntactic Recognition Algorithm for Handwritten Numerals, A
* 1986: Recognition of Isolated and Simply Connected Handwritten Numerals
* 1987: Context-Directed Segmentation Algorithm for Handwritten Numeral Strings
* 1990: Shape contour recognition using moment invariants
* 1990: Shape Determination from Intensity Images: A New Algorithm
* 1991: Pattern Recognition With Moment Invariants: A Comparative Study and New Results
* 1992: Pattern classification using an efficient KNNR
* 1992: Statistical and neural classification of handwritten numerals: a comparative study
* 1993: Segmentation Of Touching Characters In Printed Document Recognition
* 1994: Morphological Approach to Text String Extraction from Regular Periodic Overlapping Text-Background Images, A
* 1994: Morphological Approach to Text String Extraction from Regular Periodic Overlapping Text-Background Images, A
* 1994: Segmentation Of Touching Characters In Printed Document Recognition
* 1995: New Methods for Contour-Detection and Automatic Thresholding
* 1995: Recognition of Handwritten Numerals with Multiple Feature and Multistage Classifier
* 1996: Character Segmentation in Handwritten Words: An Overview
* 1996: Morphological Subtraction Scheme for Form Analysis, A
* 1997: Document Registration Using Projective Geometry
* 1997: Form Registration: A Computer Vision Approach
* 1997: Handwritten Word Recognition Using Lexicon Free and Lexicon Directed Word Recognition Algorithms
* 1997: Hierarchical Neural-Network Architecture for Handwritten Numeral Recognition, A
* 1997: Machine and human recognition of segmented characters from handwritten words
* 1997: Segmentation of Handwritten Interference Marks Using Multiple Directional Stroke Planes and Reformalized Morphological Approach
* 1998: Extraction of Handwritten Information in Geometrically Distorted Documents
* 1999: Recognition of License Plate Images: Issues and Perspectives
* 2000: Accuracy Improvement of Slant Estimation for Handwritten Words
* 2000: Application of Fuzzy Integrals in Fusion of Classifiers for Low Error Rate Handwritten Numerals Recognition
* 2000: Off-line Unconstrained Farsi Handwritten Word Recognition Using Fuzzy Vector Quantization and Hidden Markov Word Models
* 2001: Handwriting stroke extraction using a new XYTC transform
* 2001: Handwritten Farsi (Arabic) Word Recognition: A Holistic Approach Using Discrete HMM
* 2001: Unconstrained Farsi handwritten word recognition using fuzzy vector quantization and hidden Markov models
* 2002: Impact of lexicon completeness on city name recognition
* 2002: segmentation system for touching handwritten Japanese characters, A
* 2006: LVQ-based Automotive Occupant Classification System, An
* 2006: On Recognition of Handwritten Bangla Characters
* 2008: Offline handwritten Devanagari word recognition: A segmentation based approach
* 2020: ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Includes: Shridhar, M. Shridhar, M.[Mal] Shridhar, M.[Malayappan]
39 for Shridhar, M.
Shridhar, S.[Skanda]
* 2018: Impact of Augmented Reality on Art Engagement: Liking, Impression of Learning, and Distraction, The
Shrikande, N.
* 1994: Approximate Orthogonal Distance Regression Method for Fitting Quadric Surfaces to Range Data
Shrikhande, A.[Aniruddha]
* 2023: Enhancing Large Document Organization Through Effective Preprocessing and Data Embedding
Shrikhande, N.[Neelima]
* 1985: Constructing Constraint Tables for Model-Based Recognition and Localization
* 1987: Computing a Pose Hypothesis from a Small Set of 3-D Object Features
* 1989: Surface Orientation from a Projection Grid
Includes: Shrikhande, N.[Neelima] Shrikhande, N.
Shrikhande, S.[Saachi]
* 2023: Enhancing Large Document Organization Through Effective Preprocessing and Data Embedding
Shrimali, R.K.
* 2018: Segmentation of Lung Tumor in Cone Beam CT Images Based on Level-Sets
Shrimankar, D.D.
* 2018: F-DES: Fast and Deep Event Summarization
Shringi, A.[Ameya]
* 2018: Multimodal Reconstruction Using Vector Representation
* 2018: Semantically Invariant Text-to-Image Generation
* 2023: Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition
Includes: Shringi, A.[Ameya] Shringi, A.
Shrinivasan, L.[Lakshmi]
* 2018: Interval type-2 fuzzy-logic-based decision fusion system for air-lane monitoring
Shriram, K.V.
* 2013: novel approach using T.H.E.S methodology for CBIR, A
Shrivastava, A.[Abhinav]
* 2012: Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes
* 2012: Design of Non-Linear Discriminative Dictionaries for Image Classification
* 2012: Learning discriminative dictionaries with partially labeled data
* 2013: Building Part-Based Object Detectors via 3D Geometry
* 2013: NEIL: Extracting Visual Knowledge from Web Data
* 2013: Stable biped locomotion using improved Proportional Derivative Controller
* 2014: Data-driven exemplar model selection
* 2014: Dictionary-based multiple instance learning
* 2014: Enriching Visual Knowledge Bases via Object Discovery and Segmentation
* 2014: Multiple Kernel Learning for Sparse Representation-Based Classification
* 2014: Unsupervised domain adaptation using parallel transport on Grassmann manifold
* 2015: Class consistent multi-modal fusion with binary features
* 2015: Generalized Dictionaries for Multiple Instance Learning
* 2015: Multiple kernel-based dictionary learning for weakly supervised classification
* 2015: Non-linear dictionary learning with partially labeled data
* 2015: Watch and learn: Semi-supervised learning of object detectors from videos
* 2016: Contextual Priming and Feedback for Faster R-CNN
* 2016: Cross-Stitch Networks for Multi-task Learning
* 2016: Training Region-Based Object Detectors with Online Hard Example Mining
* 2017: A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
* 2017: Automated digital mammogram segmentation using Dispersed Region Growing and Sliding Window Algorithm
* 2017: Content-based mammogram retrieval using k-means clustering and local binary pattern
* 2017: Learning from Simulated and Unsupervised Images through Adversarial Training
* 2017: Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
* 2018: Actor-Centric Relation Network
* 2018: Tracking Emerges by Colorizing Videos
* 2019: EvalNorm: Estimating Batch Normalization Statistics for Evaluation
* 2019: Relational Action Forecasting
* 2019: Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion
* 2020: Boosting Standard Classification Architectures Through a Ranking Regularizer
* 2020: Curriculum Manager for Source Selection in Multi-source Domain Adaptation
* 2020: Depth Completion Using a View-constrained Deep Prior
* 2020: End-to-End Learning of Compressible Features
* 2020: Generic Visualization Approach for Convolutional Neural Networks, A
* 2020: Hand-Priming in Object Localization for Assistive Egocentric Vision
* 2020: Improved Modeling of 3D Shapes with Multi-view Depth Maps
* 2020: Improving Vision-and-language Navigation with Image-text Pairs from the Web
* 2020: PatchVAE: Learning Local Latent Codes for Recognition
* 2020: Quantization Guided JPEG Artifact Correction
* 2020: Self-attentive Adversarial Stain Normalization
* 2021: 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
* 2021: Analyzing and Mitigating JPEG Compression Defects in Deep Learning
* 2021: Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
* 2021: Hierarchical Video Prediction using Relational Layouts for Human-Object Interactions
* 2021: Knowledge Evolution in Neural Networks
* 2021: LayoutTransformer: Layout Generation and Completion with Self-attention
* 2021: Learned Spatial Representations for Few-shot Talking-Head Synthesis
* 2021: Learning Graphs for Knowledge Transfer with Limited Labels
* 2021: Learning to Predict Visual Attributes in the Wild
* 2021: Lottery Ticket Hypothesis for Object Recognition, The
* 2021: Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory, The
* 2021: StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis
* 2021: Towards Discovery and Attribution of Open-world GAN Generated Images
* 2022: ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
* 2022: Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
* 2022: Burn After Reading: Online Adaptation for Cross-domain Streaming Data
* 2022: Disentangling Visual Embeddings for Attributes and Objects
* 2022: Dual-Key Multimodal Backdoors for Visual Question Answering
* 2022: Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers
* 2022: Learning Semantic Correspondence with Sparse Annotations
* 2022: Neural Space-Filling Curves
* 2022: ObjectFormer for Image Manipulation Detection and Localization
* 2022: Pose and Joint-Aware Action Recognition
* 2023: Align and Attend: Multimodal Summarization with Dual Contrastive Losses
* 2023: ASIC: Aligning Sparse in-the-wild Image Collections
* 2023: BT2: Backward-compatible Training with Basis Transformation
* 2023: Chop & Learn: Recognizing and Generating Object-State Compositions
* 2023: Estimating and Maximizing Mutual Information for Knowledge Distillation
* 2023: EXIF as Language: Learning Cross-Modal Associations between Images and Camera Metadata
* 2023: FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views
* 2023: HNeRV: A Hybrid Neural Representation for Videos
* 2023: Leveraging Hand-Object Interactions in Assistive Egocentric Vision
* 2023: MOST: Multiple Object localization with Self-supervised Transformers for object discovery
* 2023: NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling
* 2023: NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects
* 2023: SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations
* 2023: SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network
* 2023: SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining
* 2023: Teaching Matters: Investigating the Role of Supervision in Vision Transformers
* 2023: Towards Scalable Neural Representation for Diverse Videos
* 2024: Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks
* 2024: Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization
* 2024: GRIT: GAN Residuals for Paired Image-to-Image Translation
* 2024: Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement
* 2024: Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion
Includes: Shrivastava, A.[Abhinav] Shrivastava, A.[Ashish] Shrivastava, A. Shrivastava, A.[Ayush] Shrivastava, A.[Aman]
85 for Shrivastava, A.
Shrivastava, A.K.
* 2019: Regularized Gaussian Mixture Model for High-Dimensional Clustering
* 2021: Comparative Study of Frequency Ratio, Shannon's Entropy and Analytic Hierarchy Process (AHP) Models for Landslide Susceptibility Assessment, A
Includes: Shrivastava, A.K. Shrivastava, A.K.[Amit K.]
Shrivastava, A.M.[Akhilesh Mohan]
* 2018: Ear recognition in 3D using 2D curvilinear features
Shrivastava, D.[Dhiraj]
* 2020: Using CNN with Bayesian optimization to identify cerebral micro-bleeds
Shrivastava, G.[Gaurav]
* 2021: Hierarchical Video Prediction using Relational Layouts for Human-Object Interactions
Shrivastava, K.[Kriti]
* 2024: Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging
Shrivastava, M.
* 2015: High-speed quantile-based histogram equalisation for brightness preservation and contrast enhancement
Shrivastava, N.[Nishant]
* 2014: effective scheme for image texture classification based on binary local structure pattern, An
* 2020: Automatic Seeded Region Growing Image Segmentation for Medical Image Segmentation: A Brief Review
* 2022: Breast Tumor Detection in MR Images Based on Density
* 2022: PredStereo: An Accurate Real-time Stereo Vision System
Includes: Shrivastava, N.[Nishant] Shrivastava, N.[Neeraj] Shrivastava, N.[Nivedita]
Shrivastava, P.
* 2013: Fast area of contact computation for collision detection of a deformable object using FEM
* 2013: Stable biped locomotion using improved Proportional Derivative Controller
* 2014: GPU Based Particle Coding Scheme for Virtual Cutting of Meshfree Particle Systems
Includes: Shrivastava, P. Shrivastava, P.[Prateek]
Shrivastava, R.[Rahul]
* 2022: optimized recommendation framework exploiting textual review based opinion mining for generating pleasantly surprising, novel yet relevant recommendations, An
* 2022: role-entity based human activity recognition using inter-body features and temporal sequence memory, A
Shrivastava, R.J.[Rahul J.]
* 2007: Land cover classification and economic assessment of citrus groves using remote sensing
Shrivastava, S.
* 2013: Logo Extraction Using Dynamic Stochastic Resonance
* 2017: vision-based non-contact area and volume estimation of irregular structures towards applications in wound measurement, A
* 2020: Deflating Dataset Bias Using Synthetic Data Augmentation
* 2023: DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets
Includes: Shrivastava, S. Shrivastava, S.[Shubhangi] Shrivastava, S.[Shubham]
Shrivastava, V.K.[Vimal K.]
* 2019: Fast active learning for hyperspectral image classification using extreme learning machine
* 2020: Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images
Shriver, M.D.[Mark D.]
* 2021: 3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties