Seth, A.[Ashish]
* 2023: DeAR: Debiasing Vision-Language Models with Additive Residuals
Seth, D.[Deep]
* 2021: Development of Autonomous UVC Disinfectant Robot
Seth, K.
* 2010: Efficient motion vector recovery algorithm for H.264 using directional interpolation
Seth, P.[Pratinav]
* 2023: CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution
* 2024: Does the Fairness of Your Pre-Training Hold Up? Examining the Influence of Pre-Training Techniques on Skin Tone Bias in Skin Lesion Classification
Seth, S.
* 1993: Syntatic Segmentation and Labeling of Digitized Pages from Technical Journals
* 2001: Adaptive segmentation of document images
* 2010: Test of Granger Non-causality Based on Nonparametric Conditional Independence, A
* 2013: Segmenting Tables via Indexing of Value Cells by Table Headers
* 2014: Transforming Web Tables to a Relational Database
* 2016: Archetypal Analysis for Nominal Observations
* 2016: Converting heterogeneous statistical tables on the web to searchable databases
* 2016: Table headers: An entrance to the data mine
* 2020: Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
* 2022: SISL:Self-Supervised Image Signature Learning for Splicing Detection & Localization
* 2022: Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
Includes: Seth, S. Seth, S.[Sohan] Seth, S.[Sharad] Seth, S.[Siddharth]
11 for Seth, S.
Seth, S.C.
* 1984: Hierarchical Representation of Optically Scanned Documents
* 1986: Efficient Algorithm to Decode Substitution Ciphers with Application to OCR
* 1987: Decoding Substitution Ciphers by Means of Word Matching with Application to OCR
* 1992: Prototype Document Image Analysis System for Technical Journals, A
* 1994: Isolating Symbols from Connection Lines in a Class of Engineering Drawings
* 1997: System for Recognizing a Large Class of Engineering Drawings, A
* 1999: Integrated Text and Line-Art Extraction from a Topographic Map
* 2006: Maximum-Likelihood Approach to Symbolic Indirect Correlation, A
* 2006: Multi-character Field Recognition for Arabic and Chinese Handwriting
* 2009: Comment: Projection Methods Require Black Border Removal
* 2011: Data Extraction from Web Tables: The Devil is in the Details
Includes: Seth, S.C. Seth, S.C.[Sharad C.]
11 for Seth, S.C.
Sethares, K.[Kristen]
* 2015: Electrocardiogram Classification Sensor System Supporting an Autonomous Mobile Cardiovascular Disease Detection Aid
Sethares, W.
* 1997: Wavelet-Based Fractal Transforms for Image Coding with No Search
* 2015: Hunting for Paper Moldmates Among Rembrandt's Prints: Chain-line pattern matching
Sethares, W.A.[William A.]
* 2010: Efficient and Stable Algorithm for Learning Rotations, An
* 2020: Video Logo Retrieval Based on Local Features
Includes: Sethares, W.A.[William A.] Sethares, W.A.
Sethi, A.[Amit]
* 2002: On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
* 2004: Curve and Surface Duals and the Recognition of Curved 3D Objects from their Silhouettes
* 2004: detection-based multiple object tracking method, A
* 2004: Structure and Motion from Images of Smooth Textureless Objects
* 2005: Variable Module Graphs: A Framework For Inference and Learning in Modular Vision Systems
* 2006: Robust Structure and Motion from Outlines of Smooth Curved Surfaces
* 2012: Learning to predict super resolution wavelet coefficients
* 2013: Unsupervised learning approach for abnormal event detection in surveillance video by revealing infrequent patterns
* 2015: On spatial neighborhood of patch-based super resolution
* 2016: Detecting multiple sub-types of breast cancer in a single patient
* 2016: Fast Learning-Based Single Image Super-Resolution
* 2016: Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
* 2017: Abnormal Event Detection on BMTT-PETS 2017 Surveillance Challenge
* 2017: Action recognition using spatio-temporal differential motion
* 2017: Convolutional neural networks for wavelet domain super resolution
* 2017: Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology, A
* 2018: Classification of Breast Cancer Histology Using Deep Learning
* 2018: Super Resolution by Comprehensively Exploiting Dependencies of Wavelet Coefficients
* 2019: Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering
* 2019: Residual Codean Autoencoder for Facial Attribute Analysis
* 2020: Multi-Organ Nucleus Segmentation Challenge, A
* 2021: MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
* 2022: Author's Reply to MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
* 2022: Resource-efficient Hybrid X-formers for Vision
* 2024: CVAD-GAN: Constrained video anomaly detection via generative adversarial network
* 2024: Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data
* 2024: WaveMixSR: Resource-efficient Neural Network for Image Super-resolution
Includes: Sethi, A.[Amit] Sethi, A. Sethi, A.[Akshay] Sethi, A.[Anikeit]
27 for Sethi, A.
Sethi, G.
* 2003: Devising interactive access techniques for Indian language document images
* 2016: Computer Aided Diagnosis of Abdomen Diseases Using Curvelet Transform
* 2021: Design of Matched Wavelet Using Improved Genetic Algorithm for Heart Rate Variability Analysis of the Menstrual Cycle
Includes: Sethi, G. Sethi, G.[Gaurav]
Sethi, I.
* 2002: performance analysis of a chi-square similarity measure for topic related clustering of noisy transcripts, The
* 2005: Detecting retail events using moving edges
* 2009: Induction of multiclass multifeature split decision trees from distributed data
* 2015: Zoned Image Patch Permutation Descriptor, A
Includes: Sethi, I. Sethi, I.[Ishwar]
Sethi, I.K.[Ishwar K.]
* 1977: Efficient decision tree design for discrete variable pattern recognition problems
* 1977: Machine Recognition of Constrained Hand Printed Devanagari
* 1980: Boundary Approximation Using Walsh Series Expansion for Numeral Recognition
* 1982: Edge Detection Using Charge Analogy
* 1983: Walsh Descriptors for Polygonal Curves
* 1984: Establishing Correspondence of Non-Rigid Objects Using Smoothness of Motion
* 1984: General Scheme for Discontinuity Detection, A
* 1984: Surface Classification Using Characteristic Contours
* 1985: Finding Trajectories of Feature Points in a Monocular Image Sequence
* 1985: General Scheme for Discontinuity Detection, A
* 1987: Correspondence in Presence of Occlusion
* 1987: Finding Trajectories of Feature Points in a Monocular Image Sequence
* 1987: Image Sequence Segmentation Using Motion Coherence
* 1988: Feature Point Matching in Image Sequences
* 1989: Flexible Shape Recognition Approach Through Hashing, A
* 1990: Feature Point Correspondence in the Presence of Occlusion
* 1992: Detecting Relative Motion In Moving Point Patterns
* 1992: Local Association Based Recognition of Two-Dimensional Objects
* 1993: Ellipse Detection Method from the Polar and Pole Definition of Conics, An
* 1994: Design Of Multicategory Multifeature Split Decision Trees Using Perceptron Learning
* 1994: General Approach for Token Correspondence, A
* 1994: Making A Mobile Robot Learn To Determine Its Location Using Neural Networks
* 1994: Tracking Multiple Features Using Relaxation: Comments
* 1995: Feature Identification as an Aid to Content-Based Image Retrieval
* 1995: Local Structural Association for Retrieval and Recognition of Signature Images
* 1995: Special Section on Artificial Neural Networks for Machine Vision
* 1995: Statistical Approach to Scene Change Detection
* 1995: Thresholding Based on Histogram Approximation
* 1996: Compressed Video Processing for Cut Detection
* 1996: Convolution-Based Edge-Detection for Image/Video in Block DCT Domain
* 1996: Handwritten Signature Retrieval and Identification
* 1996: Scanline Algorithms in the JPEG Discrete Cosine Transform Compressed Domain
* 1996: Symbolic Mapping of Neurons in Feedforward Networks
* 1997: Adaptive Motion-Vector Resampling for Compressed Video Downscaling
* 1997: HDH Based Compressed Video Cut Detection
* 1997: Structure-Driven Induction of Decision Tree Classifiers Through Neural Learning
* 1997: Video Shot Detection and Characterization for Video Databases
* 1998: DCT Convolution and its Application in Compressed Domain
* 1998: DCT domain alpha blending
* 1998: Special Section on Image and Video Databases
* 1999: Adaptive Motion-Vector Resampling for Compressed Video Downscaling
* 2000: Detection of Side-View Faces in Color Images
* 2001: Classification of general audio data for content-based retrieval
* 2002: Video clip recognition using joint audio-visual processing model
* 2004: SVM-based classifier design with controlled confidence
* 2006: Confidence-Based Active Learning
* 2006: Confidence-based classifier design
* 2006: Synobins: An Intermediate Level towards Annotation and Semantic Retrieval
* 2011: 3D fast spatial filtering method
* 2017: Perceptual Adaptation of Image Based on Chevreul: Mach Bands Visual Phenomenon
Includes: Sethi, I.K.[Ishwar K.] Sethi, I.K.
50 for Sethi, I.K.
Sethi, M.[Manu]
* 2012: Schrödinger distance transform (SDT) for point-sets and curves, The
* 2016: Image stack surface area minimization for groupwise and multimodal affine registration
* 2016: Supervoxel-Based Segmentation of 3D Volumetric Images
Includes: Sethi, M.[Manu] Sethi, M.
Sethi, R.J.[Ricky J.]
* 2009: Activity recognition by integrating the physics of motion with a Neuromorphic model of perception
* 2010: human action image and its application to motion recognition, The
* 2010: Human Action Image, The
* 2010: Modeling Multi-Object Activities in Phase Space
* 2010: Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video, A
* 2010: Physics-based activity modelling in phase space
* 2011: Individuals, groups, and crowds: Modelling complex, multi-object behaviour in phase space
* 2013: generalized data-driven Hamiltonian Monte Carlo for hierarchical activity search, A
* 2013: Structured analysis of the ISI Atomic Pair Actions dataset using workflows
* 2015: Towards defining groups and crowds in video using the atomic group actions dataset
10 for Sethi, R.J.
Sethi, S.
* 1998: Combining textual and visual cues for content-based image retrieval on the World Wide Web
* 1999: Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
* 2001: Recognizing action events from multiple viewpoints
Includes: Sethi, S. Sethi, S.[Saratendu]
Sethi, Y.[Yogesh]
* 2000: Exploiting Speech/Gesture Co-occurrence for Improving Continuous Gesture Recognition in Weather Narration
Sethia, S.[Saurabh]
* 2004: Hand Recognition Using Geometric Classifiers
Sethian, J.
* 1996: Geometric Approach to Segmentation and Analysis of 3D Medical Images, A
Sethian, J.A.
* 1994: Evolutionary Fronts for Topology-Independent Shape Modeling and Recovery
* 1995: Shape Modeling with Front Propagation: A Level Set Approach
* 1996: Fast Level Set Based Algorithm For Topology-Independent Shape Modeling, A
* 1996: Flows under Min/Max Curvature Flow and Mean Curvature: Applications in Image Processing
* 1996: Image-Processing: Flows under Min/Max Curvature and Mean-Curvature
* 1996: Level Set and Fast Marching Methods in Image Processing and Computer Vision
* 1996: Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Science
* 1996: Unified Approach to Noise Removal, Image-Enhancement, and Shape Recovery, A
* 1998: Real-Time Algorithm for Medical Shape Recovery, A
* 2001: Optimal Algorithm for Shape from Shading and Path Planning
* 2002: Subjective Surfaces: A Geometric Model for Boundary Completion
* 2016: Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning
Includes: Sethian, J.A. Sethian, J.A.[James A.]
12 for Sethian, J.A.
Sethom, K.
* 2015: new framework for autonomic mobile cloud computing, A
* 2016: Cross-layer algorithm for QoS in WBANs
Sethu, M.[Manivel]
* 2023: Face image quality for actor profile image curation
Sethu, P.
* 2010: new validation approach for the growth rate measurement using elastic phantoms generated by state-of-the-art microfluidics technology, A
Sethu, V.
* 2018: Generalized Variability Model for Speaker Verification
* 2020: Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech
* 2021: Compensation Techniques for Speaker Variability in Continuous Emotion Prediction
* 2023: Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information, A
Includes: Sethu, V. Sethu, V.[Vidhyasaharan]
Sethukarasi, T.[Thirumaaran]
* 2022: Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach
Sethumadhavan, H.P.[Hrishikesh Panikkasseril]
* 2024: AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge
Sethunadh, R.
* 2015: Spatially adaptive image denoising using inter-scale dependence in directionlet domain
* 2016: Image denoising based on adaptive spatial segmentation and multi-scale correlation in directionlet domain
* 2016: Object detection in SAR image based on bandlet transform
Sethuram, A.
* 2007: Aspects of Age Variation in Facial Morphology Affecting Biometrics
* 2009: Improvements and Performance Evaluation Concerning Synthetic Age Progression and Face Recognition Affected by Adult Aging
* 2009: Improvements in Active Appearance Model based synthetic age progression for adult aging
* 2010: comparative study of active appearance model annotation schemes for the face, A
* 2010: hierarchical approach to facial aging, A
* 2012: Facial Landmarking: Comparing Automatic Landmarking Methods with Applications in Soft Biometrics
* 2013: DASM: An open source active shape model for automatic registration of objects
Includes: Sethuram, A. Sethuram, A.[Amrutha]
7 for Sethuram, A.
Sethuram, H.P.
* 2018: Continuous QoE Evaluation Framework for Video Streaming Over HTTP, A
* 2020: Streaming Video QoE Modeling and Prediction: A Long Short-Term Memory Approach
Sethuraman, R.
* 2003: Towards an efficient high quality picture-rate up-converter
* 2005: Application Specific Instruction-Set Processor Template for Motion Estimation in Video Applications
* 2008: Memory-Centric Video Processing
Sethuraman, S.
* 1994: multiresolution framework for stereoscopic image sequence compression, A
* 2001: Compression and Transmission of Depth Maps for Image-based Rendering
* 2001: Intra-frame quantizer selection for video compression
* 2002: depth map representation for real-time transmission and view-based rendering of a dynamic 3D scene, A
* 2002: Mesh-based depth map compression and transmission for real-time view-based rendering
* 2003: Apparatus and method for context-based indexing and retrieval of image sequences
* 2004: Depth map compression for real-time view-based rendering
* 2008: low-complexity, motion-robust, spatio-temporally adaptive video de-noiser with in-loop noise estimation, A
* 2021: ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
* 2021: Subblock-Based Motion Derivation and Inter Prediction Refinement in the Versatile Video Coding Standard
* 2022: On The Benefit of Parameter-Driven Approaches for the Modeling and the Prediction of Satisfied User Ratio for Compressed Video
* 2022: Study of the Subjective and Objective Quality of High Motion Live Streaming Videos
* 2022: Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates
* 2022: Subjective Assessment Of High Dynamic Range Videos Under Different Ambient Conditions
* 2023: Making Video Quality Assessment Models Robust to Bit Depth
* 2023: Subjective and Objective Video Quality Assessment of High Dynamic Range Sports Content
* 2023: ZREC: Robust Recovery of Mean and Percentile Opinion Scores
* 2024: Study of Subjective and Objective Quality Assessment of HDR Videos, A
Includes: Sethuraman, S. Sethuraman, S.[Sriram]
18 for Sethuraman, S.
Sethuraman, S.C.[Sibi Chakkaravarthy]
* 2020: Detecting abnormal events in traffic video surveillance using superorientation optical flow feature
Sethuraman, V.[Vijaya]
* 2012: Tissue-level segmentation and tracking of cells in growing plant roots