Suss, J.
* 2015: Don't overlook the human! Applying the principles of cognitive systems engineering to the design of intelligent video surveillance systems
Suss, S.[Sebastian]
* 2018: Aerial GANeration: Towards Realistic Data Augmentation Using Conditional GANs
* 2018: Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps
Includes: Suss, S.[Sebastian] Süss, S.[Sebastian] (Maybe also Suess, S.)
Suss, T.[Tim]
* 2012: Asynchronous Occlusion Culling on Heterogeneous PC Clusters for Distributed 3D Scenes
Includes: Suss, T.[Tim] Süss, T.[Tim] (Maybe also Suess, T.)
Susse, H.[Herbert]
* 1995: Invariant standard positions of ordered sets of points
* 1996: Method of Normalization to Determine Invariants, The
* 2006: Novel Approach for Affine Point Pattern Matching, A
* 2015: Regularized Geometric Hulls for Bio-medical Image Segmentation
Includes: Susse, H.[Herbert] Süsse, H.[Herbert] (Maybe also Suesse, H.)
Sussillo, D.
* 2014: Information Systems Opportunities in Brain-Machine Interface Decoders
* 2018: Dataset and Architecture for Visual Reasoning with a Working Memory, A
* 2018: Recurrent Segmentation for Variable Computational Budgets
Includes: Sussillo, D. Sussillo, D.[David]
Susskind, J.[Joshua]
* 2004: Dynamics of Facial Expression Extracted Automatically from Video
* 2006: Dynamics of Facial Expression Extracted Automatically from Video
* 2011: Modeling the joint density of two images under a variety of transformations
* 2012: Emotion Mirror: A Novel Intervention for Autism Based on Real-Time Expression Recognition
* 2012: Exploring Bag of Words Architectures in the Facial Expression Domain
* 2012: Exploring the Facial Expression Perception-Production Link Using Real-Time Automated Facial Expression Recognition
* 2017: Learning from Simulated and Unsupervised Images through Adversarial Training
* 2019: Concept Development and Risk Reduction for MISTiC Winds, A Micro-Satellite Constellation Approach for Vertically Resolved Wind and IR Sounding Observations in the Troposphere
* 2021: MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
Includes: Susskind, J.[Joshua] Susskind, J.[Josh] Susskind, J.[Joel]
9 for Susskind, J.
Susskind, J.M.[Joshua M.]
* 2011: On deep generative models with applications to recognition
* 2013: Modeling Natural Images Using Gated MRFs
* 2021: Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
* 2021: On the generalization of learning-based 3D reconstruction
* 2021: Unconstrained Scene Generation with Locally Conditioned Radiance Fields
* 2022: Fast and Explicit Neural View Synthesis
Susskind, T.[Tea]
* 2023: Remote Sensing-Based Estimates of Changes in Stored Groundwater at Local Scales: Case Study for Two Groundwater Subbasins in California's Central Valley
Sussman, A.
* 1994: High performance computing for land cover dynamics
* 2015: Bus rapid transit system deployment for high quality and cost-effective transit service: a comprehensive review and comparative analysis
Sussman, D.L.[Daniel L.]
* 2014: Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs
* 2019: Connectome smoothing via low-rank approximations
* 2020: Matched Filters for Noisy Induced Subgraph Detection
Includes: Sussman, D.L.[Daniel L.] Sussman, D.L.
Sussman, M.
* 1994: Level Set Approach for Computing Solutions to Incompressible Two-Phase Flow, A
Sussman, M.S.
* 2003: Factors affecting the correlation coefficient template matching algorithm with application to real-time 2-D coronary artery MR imaging
* 2004: Adaptive Averaging for Improved SNR in Real-Time Coronary Artery MRI
Sussmann, R.[Ralf]
* 2016: Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network
* 2016: Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network
* 2016: Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network
* 2019: Comparison of Continuous In-Situ CO2 Measurements with Co-Located Column-Averaged XCO2 TCCON/Satellite Observations and CarbonTracker Model Over the Zugspitze Region
* 2019: Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals
* 2019: Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data
* 2020: Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra
* 2020: Can We Measure a COVID-19-Related Slowdown in Atmospheric CO2 Growth? Sensitivity of Total Carbon Column Observations
* 2020: Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI
* 2020: Validation of Carbon Trace Gas Profile Retrievals from the NOAA-Unique Combined Atmospheric Processing System for the Cross-Track Infrared Sounder
* 2022: Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment
11 for Sussmann, R.
Sussner, M.
* 1996: How to recover smooth object boundaries in noisy medical images
Sussner, P.
* 1996: Introduction to Morphological Neural Networks, An
* 1997: Decomposition of Gray-Scale Morphological Templates Using The Rank Method
* 2000: Rank-Based Decompositions of Morphological Templates
* 2003: Generalizing Operations of Binary Autoassociative Morphological Memories Using Fuzzy Set Theory
* 2003: Guest Editorial: Special Issue on Morphological Neural Networks
* 2008: Classification of Fuzzy Mathematical Morphologies Based on Concepts of Inclusion Measure and Duality
* 2008: Interval-Valued Fuzzy Morphological Model Based on Lukasiewicz-Operators, An
* 2010: On the Decomposition of Interval-Valued Fuzzy Morphological Operators
* 2012: Interval-Valued and Intuitionistic Fuzzy Mathematical Morphologies as Special Cases of L-Fuzzy Mathematical Morphology
* 2012: Kosko Subsethood Fuzzy Associative Memory (KS-FAM): Mathematical Background and Applications in Computer Vision, The
* 2013: Quantale-based autoassociative memories with an application to the storage of color images
Includes: Sussner, P. Sussner, P.[Peter]
11 for Sussner, P.
Susstrunk, S.[Sabine]
* 2003: Outlier modeling in image matching
* 2003: Preface: Colour Image Processing and Analysis. First European Conference on Colour in Graphics, Imaging, and Vision
* 2004: Eigenregions for Image Classification
* 2004: Mapping colour in image stitching applications
* 2004: measure for spatial dependence in natural stochastic textures, A
* 2005: Linear Demosaicing Inspired by the Human Visual System
* 2005: Super-Resolution from Highly Undersampled Images
* 2006: Dynamic Texture Analysis and Synthesis Using Tensor Decomposition
* 2006: Dynamic Texture Synthesis: Compact Models Based on Luminance-Chrominance Color Representation
* 2006: Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution, A
* 2006: High Dynamic Range Image Rendering With a Retinex-Based Adaptive Filter
* 2007: Assessing human skin color from uncalibrated images
* 2007: Model of retinal local adaptation for the tone mapping of color filter array images
* 2008: Higher Order SVD Analysis for Dynamic Texture Synthesis
* 2009: Appearance-based keypoint clustering
* 2009: Color image dehazing using the near-infrared
* 2009: Designing color filter arrays for the joint capture of visible and near-infrared images
* 2009: Face image enhancement using 3D and spectral information
* 2009: Frequency-tuned salient region detection
* 2009: Saliency detection for content-aware image resizing
* 2010: Saliency detection using maximum symmetric surround
* 2011: Correlation-based joint acquisition and demosaicing of visible and near-infrared images
* 2011: Multi-spectral SIFT for scene category recognition
* 2011: Multispectral interest points for RGB-NIR image registration
* 2011: Revisiting radiometric calibration for color computer vision
* 2011: Spatio-chromatic decorrelation by shift-invariant filtering
* 2012: efficient demosaicing technique using geometrical information, An
* 2012: New In-Camera Imaging Model for Color Computer Vision and Its Application, A
* 2012: Nonuniform Lattice Regression for Modeling the Camera Imaging Pipeline
* 2012: Semantic Image Segmentation Using Visible and Near-Infrared Channels
* 2012: SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
* 2012: Spectral sharpening by spherical sampling
* 2013: Automatic detection of dust and scratches in silver halide film using polarized dark-field illumination
* 2013: Mirror Match: Reliable Feature Point Matching without Geometric Constraints
* 2013: Near-infrared guided color image dehazing
* 2013: What is the space of spectral sensitivity functions for digital color cameras?
* 2014: Automatic and Accurate Shadow Detection Using Near-Infrared Information
* 2014: FASA: Fast, Accurate, and Size-Aware Salient Object Detection
* 2014: practical method for measuring the spatial frequency response of light field cameras, A
* 2014: Saliency Detection using regression trees on hierarchical image segments
* 2015: Image aesthetics depends on context
* 2015: Semantic-Improved Color Imaging Applications: It Is All About Context
* 2016: Image aesthetic predictors based on weighted CNNs
* 2016: Non-Parametric Blur Map Regression for Depth of Field Extension
* 2016: Pose and Pathosformel in Aby Warburg's Bilderatlas
* 2017: Color representation in deep neural networks
* 2017: Correlation-based deblurring leveraging multispectral chromatic aberration in color and near-infrared joint acquisition
* 2017: Keyword-based image color re-rendering with semantic segmentation
* 2017: Preserving perceptual contrast in decolorization with optimized color orders
* 2017: Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair
* 2017: Single Image Reflection Suppression
* 2017: Superpixels and Polygons Using Simple Non-iterative Clustering
* 2017: Webly Supervised Semantic Segmentation
* 2018: AR in VR: Simulating Infrared Augmented Vision
* 2018: Deep Feature Factorization for Concept Discovery
* 2018: Multi-modal Spectral Image Super-Resolution
* 2018: PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results
* 2019: Deep Feature Factorization for Content-Based Image Retrieval and Localization
* 2019: Deep Semantic Segmentation Using NIR as Extra Physical Information
* 2019: Kernel Modeling Super-Resolution on Real Low-Resolution Images
* 2019: Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All?: A Tailored Approach to Single Image Reflection Removal
* 2020: Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning
* 2020: Editing in Style: Uncovering the Local Semantics of GANs
* 2020: Evaluating salient object detection in natural images with multiple objects having multi-level saliency
* 2020: Stochastic Frequency Masking to Improve Super-resolution and Denoising Networks
* 2020: Volumetric Transformer Networks
* 2021: Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
* 2021: Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks
* 2021: NTIRE 2021 Depth Guided Image Relighting Challenge
* 2022: BIGPrior: Toward Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
* 2022: DSR: Towards Drone Image Super-resolution
* 2022: Estimating Image Depth in the Comics Domain
* 2022: Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
* 2022: MuIT: An End-to-End Multitask Learning Transformer
* 2022: PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples
* 2022: RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
* 2023: Dense Multitask Learning to Reconfigure Comics
* 2023: Diffusion in Style
* 2023: DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata
* 2023: Fast Adversarial Training With Adaptive Step Size
* 2023: NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects
* 2023: Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
* 2023: TempSAL - Uncovering Temporal Information for Deep Saliency Prediction
* 2023: Vision Transformer Adapters for Generalizable Multitask Learning
* 2023: VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction
* 2024: Exploiting the Signal-Leak Bias in Diffusion Models
Includes: Susstrunk, S.[Sabine] Süsstrunk, S.[Sabine] (Maybe also Suesstrunk, S.)Susstrunk, S. Süsstrunk, S. (Maybe also Suesstrunk, S.)
86 for Susstrunk, S.