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The Path to Path-Traced Movies
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-47967-8_8openalex-snapshot
Class-Specific, Top-Down Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_16openalex-snapshot
Multi-level Adaptive Active Learning for Scene Classification
inferredcites →https://doi.org/10.1007/978-3-319-10593-2_27openalex-snapshot
Zero-Shot Learning via Visual Abstraction
inferredcites →https://doi.org/10.1007/978-3-319-10593-2_37openalex-snapshot
Selecting Influential Examples: Active Learning with Expected Model Output Changes
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_22openalex-snapshot
Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-16865-4_23openalex-snapshot
Predicting the Location of “interactees” in Novel Human-Object Interactions
inferredcites →https://doi.org/10.1007/978-3-319-23048-1_10openalex-snapshot
Nonparametric Scene Parsing via Label Transfer
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_31openalex-snapshot
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_34openalex-snapshot
What’s the Point: Semantic Segmentation with Point Supervision
inferredcites →https://doi.org/10.1007/978-3-642-15555-0_12openalex-snapshot
A Discriminative Latent Model of Object Classes and Attributes
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_32openalex-snapshot
Visual Recognition with Humans in the Loop
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_26openalex-snapshot
Attributes for Classifier Feedback
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_36openalex-snapshot
Active Frame Selection for Label Propagation in Videos
inferredcites →https://doi.org/10.1007/978-3-642-33718-5_60openalex-snapshot
Object Detection Using Strongly-Supervised Deformable Part Models
inferredcites →https://doi.org/10.1007/978-3-642-33885-4_3openalex-snapshot
Discovering a Lexicon of Parts and Attributes
inferredcites →https://doi.org/10.1007/978-3-642-35749-7_1openalex-snapshot
Attribute Learning in Large-Scale Datasets
inferredcites →https://doi.org/10.1007/978-3-642-37331-2_4openalex-snapshot
Tell Me What You Like and I’ll Tell You What You Are: Discriminating Visual Preferences on Flickr Data
inferredcites →https://doi.org/10.1007/978-3-642-37331-2_59openalex-snapshot
Active Learning for Interactive Segmentation with Expected Confidence Change
inferredcites →https://doi.org/10.1007/s11263-007-0090-8openalex-snapshot
LabelMe: A Database and Web-Based Tool for Image Annotation
inferredcites →https://doi.org/10.1007/s11263-009-0268-3openalex-snapshot
Gaussian Processes for Object Categorization
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s11263-010-0372-4openalex-snapshot
Cost-Sensitive Active Visual Category Learning
inferredcites →https://doi.org/10.1007/s11263-012-0564-1openalex-snapshot
Efficiently Scaling up Crowdsourced Video Annotation
inferredcites →https://doi.org/10.1007/s11263-014-0721-9openalex-snapshot
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
inferredcites →https://doi.org/10.1007/s11263-014-0798-1openalex-snapshot
Discovering Attribute Shades of Meaning with the Crowd
inferredcites →https://doi.org/10.1007/s11263-015-0814-0openalex-snapshot
WhittleSearch: Interactive Image Search with Relative Attribute Feedback
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s11263-016-0958-6openalex-snapshot
Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance
inferredcites →https://doi.org/10.1007/s11263-016-0981-7openalex-snapshot
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
inferredcites →https://doi.org/10.1038/nmeth.2281openalex-snapshot
JAABA: interactive machine learning for automatic annotation of animal behavior
inferredcites →https://doi.org/10.1073/pnas.1422953112openalex-snapshot
Visual Turing test for computer vision systems
inferredcites →https://doi.org/10.1109/cvpr.2005.16openalex-snapshot
A Bayesian Hierarchical Model for Learning Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2009.5206594openalex-snapshot
Learning to detect unseen object classes by between-class attribute transfer
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2010.5539970openalex-snapshot
SUN database: Large-scale scene recognition from abbey to zoo
inferredcites →https://doi.org/10.1109/cvpr.2010.5540044openalex-snapshot
Beyond active noun tagging: Modeling contextual interactions for multi-class active learning
inferredcites →https://doi.org/10.1109/cvpr.2010.5540047openalex-snapshot
Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
inferredcites →https://doi.org/10.1109/cvpr.2010.5540055openalex-snapshot
Far-sighted active learning on a budget for image and video recognition
inferredcites →https://doi.org/10.1109/cvpr.2010.5540080openalex-snapshot
iCoseg: Interactive co-segmentation with intelligent scribble guidance
inferredcites →https://doi.org/10.1109/cvpr.2010.5540234openalex-snapshot
Grouplet: A structured image representation for recognizing human and object interactions
inferredcites →https://doi.org/10.1109/cvpr.2011.5995329openalex-snapshot
Image ranking and retrieval based on multi-attribute queries
inferredcites →https://doi.org/10.1109/cvpr.2011.5995380openalex-snapshot
Learning structured prediction models for interactive image labeling
inferredcites →https://doi.org/10.1109/cvpr.2011.5995430openalex-snapshot
Large-scale live active learning: Training object detectors with crawled data and crowds
inferredcites →https://doi.org/10.1109/cvpr.2011.5995451openalex-snapshot
Interactively building a discriminative vocabulary of nameable attributes
inferredcites →https://doi.org/10.1109/cvpr.2011.5995638openalex-snapshot
Active learning for piecewise planar 3D reconstruction
inferredcites →https://doi.org/10.1109/cvpr.2012.6247847openalex-snapshot
Stream-based joint exploration-exploitation active learning
inferredcites →https://doi.org/10.1109/cvpr.2012.6247922openalex-snapshot
Active image clustering: Seeking constraints from humans to complement algorithms
inferredcites →https://doi.org/10.1109/cvpr.2012.6247998openalex-snapshot
SUN attribute database: Discovering, annotating, and recognizing scene attributes
inferredcites →https://doi.org/10.1109/cvpr.2012.6248026openalex-snapshot
WhittleSearch: Image search with relative attribute feedback
inferredcites →https://doi.org/10.1109/cvpr.2012.6248050openalex-snapshot
Active learning for semantic segmentation with expected change
inferredcites →https://doi.org/10.1109/cvpr.2012.6248060openalex-snapshot
Interactive object detection
inferredcites →https://doi.org/10.1109/cvpr.2012.6248065openalex-snapshot
Learning object class detectors from weakly annotated video
inferredcites →https://doi.org/10.1109/cvpr.2013.106openalex-snapshot
Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop
inferredcites →https://doi.org/10.1109/cvpr.2013.116openalex-snapshot
Adaptive Active Learning for Image Classification
inferredcites →https://doi.org/10.1109/cvpr.2013.125openalex-snapshot
Part Discovery from Partial Correspondence
inferredcites →https://doi.org/10.1109/cvpr.2013.253openalex-snapshot
Unsupervised Joint Object Discovery and Segmentation in Internet Images
inferredcites →https://doi.org/10.1109/cvpr.2013.387openalex-snapshot
Bringing Semantics into Focus Using Visual Abstraction
inferredcites →https://doi.org/10.1109/cvpr.2013.81openalex-snapshot
Fine-Grained Crowdsourcing for Fine-Grained Recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.115openalex-snapshot
Similarity Comparisons for Interactive Fine-Grained Categorization
inferredcites →https://doi.org/10.1109/cvpr.2014.119openalex-snapshot
The Role of Context for Object Detection and Semantic Segmentation in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.254openalex-snapshot
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
inferredcites →https://doi.org/10.1109/cvpr.2014.32openalex-snapshot
Fine-Grained Visual Comparisons with Local Learning
inferredcites →https://doi.org/10.1109/cvpr.2014.34openalex-snapshot
Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes
inferredcites →https://doi.org/10.1109/cvpr.2014.35openalex-snapshot
Visual Persuasion: Inferring Communicative Intents of Images
inferredcites →https://doi.org/10.1109/cvpr.2014.464openalex-snapshot
Predicting User Annoyance Using Visual Attributes
inferredcites →https://doi.org/10.1109/cvpr.2014.471openalex-snapshot
2D Human Pose Estimation: New Benchmark and State of the Art Analysis
inferredcites →https://doi.org/10.1109/cvpr.2014.535openalex-snapshot
An Automated Estimator of Image Visual Realism Based on Human Cognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298687openalex-snapshot
A mixed bag of emotions: Model, predict, and transfer emotion distributions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298688openalex-snapshot
Neuroaesthetics in fashion: Modeling the perception of fashionability
inferredcites →https://doi.org/10.1109/cvpr.2015.7298698openalex-snapshot
ActivityNet: A large-scale video benchmark for human activity understanding
inferredcites →https://doi.org/10.1109/cvpr.2015.7298791openalex-snapshot
Understanding image virality
inferredcites →https://doi.org/10.1109/cvpr.2015.7298824openalex-snapshot
Best of both worlds: Human-machine collaboration for object annotation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298877openalex-snapshot
Becoming the expert - interactive multi-class machine teaching
inferredcites →https://doi.org/10.1109/cvpr.2015.7298970openalex-snapshot
Material recognition in the wild with the Materials in Context Database
inferredcites →https://doi.org/10.1109/cvpr.2015.7298990openalex-snapshot
Image retrieval using scene graphs
inferredcites →https://doi.org/10.1109/cvpr.2015.7299063openalex-snapshot
Active learning and discovery of object categories in the presence of unnameable instances
inferredcites →https://doi.org/10.1109/cvpr.2015.7299087openalex-snapshot
CIDEr: Consensus-based image description evaluation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299090openalex-snapshot
Efficient label collection for unlabeled image datasets
inferredcites →https://doi.org/10.1109/cvpr.2016.313openalex-snapshot
Active Image Segmentation Propagation
inferredcites →https://doi.org/10.1109/cvpr.2016.48openalex-snapshot
Pull the Plug? Predicting If Computers or Humans Should Segment Images
inferredcites →https://doi.org/10.1109/cvpr.2016.498openalex-snapshot
We are Humor Beings: Understanding and Predicting Visual Humor
inferredcites →https://doi.org/10.1109/cvpr.2016.501openalex-snapshot
MovieQA: Understanding Stories in Movies through Question-Answering
inferredcites →https://doi.org/10.1109/cvpr.2016.540openalex-snapshot
Visual7W: Grounded Question Answering in Images
inferredcites →https://doi.org/10.1109/cvprw.2008.4562953openalex-snapshot
Utility data annotation with Amazon Mechanical Turk
inferredcites →https://doi.org/10.1109/cvprw.2009.5206651openalex-snapshot
Active learning for large multi-class problems
inferredcites →https://doi.org/10.1109/cvprw.2009.5206705openalex-snapshot
What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations
inferredcites →https://doi.org/10.1109/cvprw.2009.5206772openalex-snapshot
Describing objects by their attributes
inferredcites →https://doi.org/10.1109/cvprw.2010.5543183openalex-snapshot
The benefits and challenges of collecting richer object annotations
inferredcites →https://doi.org/10.1109/cvprw.2010.5543189openalex-snapshot
Online crowdsourcing: Rating annotators and obtaining cost-effective labels
inferredcites →https://doi.org/10.1109/iccv.2009.5459211openalex-snapshot
Decomposing a scene into geometric and semantically consistent regions
inferredcites →https://doi.org/10.1109/iccv.2009.5459289openalex-snapshot
LabelMe video: Building a video database with human annotations
inferredcites →https://doi.org/10.1109/iccv.2009.5459303openalex-snapshot
Poselets: Body part detectors trained using 3D human pose annotations
inferredcites →https://doi.org/10.1109/iccv.2011.6126343openalex-snapshot
Semantic contours from inverse detectors
inferredcites →https://doi.org/10.1109/iccv.2011.6126386openalex-snapshot
Human action recognition by learning bases of action attributes and parts
inferredcites →https://doi.org/10.1109/iccv.2011.6126394openalex-snapshot
Annotator rationales for visual recognition
inferredcites →https://doi.org/10.1109/iccv.2011.6126395openalex-snapshot
Actively selecting annotations among objects and attributes
inferredcites →https://doi.org/10.1109/iccv.2011.6126450openalex-snapshot
Strong supervision from weak annotation: Interactive training of deformable part models
inferredcites →https://doi.org/10.1109/iccv.2011.6126493openalex-snapshot
iGroup: Weakly supervised image and video grouping
inferredcites →https://doi.org/10.1109/iccv.2011.6126498openalex-snapshot
Content-based photo quality assessment
inferredcites →https://doi.org/10.1109/iccv.2011.6126539openalex-snapshot
Multiclass recognition and part localization with humans in the loop
inferredcites →https://doi.org/10.1109/iccv.2013.153openalex-snapshot
Collaborative Active Learning of a Kernel Machine Ensemble for Recognition
inferredcites →https://doi.org/10.1109/iccv.2013.166openalex-snapshot
Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation
inferredcites →https://doi.org/10.1109/iccv.2013.230openalex-snapshot
Active Learning of an Action Detector from Untrimmed Videos
inferredcites →https://doi.org/10.1109/iccv.2013.273openalex-snapshot
Video Segmentation by Tracking Many Figure-Ground Segments
inferredcites →https://doi.org/10.1109/iccv.2013.373openalex-snapshot
Active Visual Recognition with Expertise Estimation in Crowdsourcing
inferredcites →https://doi.org/10.1109/iccv.2013.426openalex-snapshot
Attribute Adaptation for Personalized Image Search
inferredcites →https://doi.org/10.1109/iccv.2013.44openalex-snapshot
Attribute Pivots for Guiding Relevance Feedback in Image Search
inferredcites →https://doi.org/10.1109/iccv.2015.118openalex-snapshot
Learning Concept Embeddings with Combined Human-Machine Expertise
inferredcites →https://doi.org/10.1109/iccv.2015.122openalex-snapshot
HICO: A Benchmark for Recognizing Human-Object Interactions in Images
inferredcites →https://doi.org/10.1109/iccv.2015.283openalex-snapshot
Visual Madlibs: Fill in the Blank Description Generation and Question Answering
inferredcites →https://doi.org/10.1109/iccv.2015.313openalex-snapshot
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks
inferredcites →https://doi.org/10.1109/iccv.2015.325openalex-snapshot
Multi-class Multi-annotator Active Learning with Robust Gaussian Process for Visual Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.340openalex-snapshot
Introducing Geometry in Active Learning for Image Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.370openalex-snapshot
Video Segmentation with Just a Few Strokes
inferredcites →https://doi.org/10.1109/tpami.2009.83openalex-snapshot
Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition
inferredcites →https://doi.org/10.1109/tpami.2010.161openalex-snapshot
Contour Detection and Hierarchical Image Segmentation
inferredcites →https://doi.org/10.1109/tpami.2013.121openalex-snapshot
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
inferredcites →https://doi.org/10.1109/tpami.2015.2439285openalex-snapshot
Leveraging the Wisdom of the Crowd for Fine-Grained Recognition
inferredcites →https://doi.org/10.1109/tpami.2018.2860987openalex-snapshot
Max-Margin Majority Voting for Learning from Crowds
inferredcites →https://doi.org/10.1109/wacv.2012.6163033openalex-snapshot
Tools for richer crowd source image annotations
inferredcites →https://doi.org/10.1109/wacv.2014.6836104openalex-snapshot
Interactively test driving an object detector: Estimating performance on unlabeled data
inferredcites →https://doi.org/10.1109/wacv.2015.160openalex-snapshot
How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms
inferredcites →https://doi.org/10.1109/wacv.2015.73openalex-snapshot
Learning Localized Perceptual Similarity Metrics for Interactive Categorization
inferredcites →https://doi.org/10.1145/1401890.1401965openalex-snapshot
Get another label? improving data quality and data mining using multiple, noisy labelers
inferredcites →https://doi.org/10.1145/2145204.2145354openalex-snapshot
Collaboratively crowdsourcing workflows with turkomatic
inferredcites →https://doi.org/10.1145/2556288.2557011openalex-snapshot
Scalable multi-label annotation
inferredcites →https://doi.org/10.1167/9.8.784openalex-snapshot
Material perception: What can you see in a brief glance?
inferredcites →https://doi.org/10.1609/hcomp.v1i1.13076openalex-snapshot
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing
inferredcites →https://doi.org/10.1609/hcomp.v2i1.13152openalex-snapshot
Cost-Effective HITs for Relative Similarity Comparisons
inferredcites →https://doi.org/10.1609/hcomp.v3i1.13224openalex-snapshot
Tropel: Crowdsourcing Detectors with Minimal Training
inferredcites →https://doi.org/10.1609/hcomp.v4i1.13290openalex-snapshot
Much Ado About Time: Exhaustive Annotation of Temporal Data
inferredcites →https://doi.org/10.18653/v1/d13-1072openalex-snapshot
Exploiting Language Models for Visual Recognition
inferredcites →https://doi.org/10.3115/v1/d14-1086openalex-snapshot
ReferItGame: Referring to Objects in Photographs of Natural Scenes
inferredcites →https://doi.org/10.3115/v1/w14-5403openalex-snapshot
TUHOI: Trento Universal Human Object Interaction Dataset
inferredcites →https://doi.org/10.48550/arxiv.1105.1033openalex-snapshot
Adaptively Learning the Crowd Kernel
inferredcites →https://doi.org/10.48550/arxiv.1506.02328openalex-snapshot
EventNet: A Large Scale Structured Concept Library for Complex Event Detection in Video
inferredcites →https://doi.org/10.48550/arxiv.1507.05738openalex-snapshot
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
inferredcites →https://doi.org/10.48550/arxiv.1510.02847openalex-snapshot
Active Learning from Weak and Strong Labelers
inferredcites →https://doi.org/10.5244/c.24.56openalex-snapshot
Motion Coherent Tracking with Multi-label MRF optimization
inferredcites →https://doi.org/10.5244/c.25.109openalex-snapshot
Quality Assessment for Crowdsourced Object Annotations
inferredcites →https://doi.org/10.5244/c.25.78openalex-snapshot
Combining Self Training and Active Learning for Video Segmentation
inferredcites →https://doi.org/10.5244/c.25.9openalex-snapshot
Active Learning using Dirichlet Processes for Rare Class Discovery and Classification
inferredcites →https://doi.org/10.57702/i9oeewf6openalex-snapshot
Caltech-UCSD Birds-200-2011 Dataset
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Setting Assessment Standards for Artificial Intelligence Computer Vision Wound Annotations
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Importance Sampling of Many Lights on the GPU
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Ray Tracing: Simulating Light and Sound in Architectural Design
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Accelerated Photon Mapping for Homogeneous Participating Media Based on Octree
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Batch Specular Manifold Sampling for caustics rendering
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Indirect illumination with efficient monte carlo integration and denoising
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Crowdsourced reliable labeling of safety-rule violations on images of complex construction scenes for advanced vision-based workplace safety
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Geometry in active learning for binary and multi-class image segmentation
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Unifying radiative transfer models in computer graphics and remote sensing, Part I: A survey
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Learning from crowds in digital pathology using scalable variational Gaussian processes
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A method for modeling volumetric clouds and subsurface scattering of functionally specified objects
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Lean Crowdsourcing: Combining Humans and Machines in an Online System
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Lean Multiclass Crowdsourcing
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A Re-Configurable Ray-Triangle Vector Accelerator for Emerging Fog Architectures
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Monte Carlo Methods for Volumetric Light Transport Simulation
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Stratified Markov Chain Monte Carlo Light Transport
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Q‐NET: A Network for Low‐dimensional Integrals of Neural Proxies
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Progressive Denoising of Monte Carlo Rendered Images
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A bidirectional formulation for Walk on Spheres
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Real‐time Deep Radiance Reconstruction from Imperfect Caches
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Method for visualizing volumetric caustics in single-scattering media based on beam tracking
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Research on global illumination exploration in dynamic scenes
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Path tracing in production - part 2
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Exploiting Budan-Fourier and Vincent's theorems for ray tracing 3D Bézier curves
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Real-time global illumination by precomputed local reconstruction from sparse radiance probes
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Fast lossy compression of 3D unit vector sets
inferred← citeshttps://doi.org/10.1145/3230635openalex-snapshot
Volume Path Guiding Based on Zero-Variance Random Walk Theory
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A radiative transfer framework for non-exponential media
inferred← citeshttps://doi.org/10.1145/3306131.3317029openalex-snapshot
High-quality object-space dynamic ambient occlusion for characters using Bi-level regression
inferred← citeshttps://doi.org/10.1145/3306346.3323025openalex-snapshot
A null-scattering path integral formulation of light transport
inferred← citeshttps://doi.org/10.1145/3306346.3323041openalex-snapshot
Photon surfaces for robust, unbiased volumetric density estimation
inferred← citeshttps://doi.org/10.1145/3355089.3356578openalex-snapshot
Selectively metropolised Monte Carlo light transport simulation
inferred← citeshttps://doi.org/10.1145/3528223.3530134openalex-snapshot
Grid-free Monte Carlo for PDEs with spatially varying coefficients
inferred← citeshttps://doi.org/10.1145/3618360openalex-snapshot
Manifold Path Guiding for Importance Sampling Specular Chains
inferred← citeshttps://doi.org/10.1145/3641519.3657511openalex-snapshot
Practical Error Estimation for Denoised Monte Carlo Image Synthesis
inferred← citeshttps://doi.org/10.1145/3695053.3731118openalex-snapshot
CoopRT: Accelerating BVH Traversal for Ray Tracing via Cooperative Threads
inferred← citeshttps://doi.org/10.1145/3715928.3737480openalex-snapshot
Rationale-aware Label Aggregation in Crowdsourcing
inferred← citeshttps://doi.org/10.1145/3763315openalex-snapshot
DSCombiner: Double Shrinkage for Combining Biased and Unbiased Monte Carlo Renderings
inferred← citeshttps://doi.org/10.1162/artl_a_00351openalex-snapshot
Monte Carlo Physarum Machine: Characteristics of Pattern Formation in Continuous Stochastic Transport Networks
inferred← citeshttps://doi.org/10.1177/20539517231188725openalex-snapshot
From rules to examples: Machine learning's type of authority
inferred← citeshttps://doi.org/10.1177/23998083211011474openalex-snapshot
Towards a new image archive for the built environment
inferred← citeshttps://doi.org/10.2139/ssrn.6845522openalex-snapshot
Path Tracing for High-Frequency Multiple Scattering
inferred← citeshttps://doi.org/10.3389/fpubh.2019.00081openalex-snapshot
Crowdbreaks: Tracking Health Trends Using Public Social Media Data and Crowdsourcing
inferred← citeshttps://doi.org/10.3390/jimaging12100471openalex-snapshot
Procedural Versus Baked Textures in Path-Traced Rendering: A Controlled Comparison of Render Time and Memory Footprint in Blender Cycles
inferred← citeshttps://doi.org/10.48550/arxiv.2006.03870openalex-snapshot
Towards large-scale, automated, accurate detection of CCTV camera objects using computer vision. Applications and implications for privacy, safety, and cybersecurity. (Preprint)
inferred← citeshttps://doi.org/10.48550/arxiv.2102.09099openalex-snapshot
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
inferred← citeshttps://doi.org/10.5220/0007248600002108openalex-snapshot
Active Learning for Deep Object Detection
inferred← citeshttps://doi.org/10.70675/50ccd35cz8f78z4a29za7e0zb05bb7f7c204openalex-snapshot
Les effets radiatifs 3D des nuages de couche limite : de leur simulation explicite à leur paramétrisation
inferred← citeshttps://doi.org/10.70675/9c390ea8z53e8z43bfza6fezc62efe00b8d4openalex-snapshot
Compression collaborative de rayons de lumière pour le rendu distribué de Monte Carlo et applications
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
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