Stella X. Yu

Orcid: 0000-0002-3507-5761

According to our database1, Stella X. Yu authored at least 143 papers between 1999 and 2024.

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Bibliography

2024
Open Long-Tailed Recognition in a Dynamic World.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Trajectory Regularization Enhances Self-Supervised Geometric Representation.
CoRR, 2024

VEATIC: Video-based Emotion and Affect Tracking in Context Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Local pseudo-attributes for long-tailed recognition.
Pattern Recognit. Lett., August, 2023

Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition.
IEEE Signal Process. Lett., 2023

Debiased Learning for Remote Sensing Data.
CoRR, 2023

How to guess a gradient.
CoRR, 2023

Coordinate-based neural representations for computational adaptive optics in widefield microscopy.
CoRR, 2023

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality.
CoRR, 2023

Compact and Optimal Deep Learning with Recurrent Parameter Generators.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Audio-Visual BatVision Dataset for Research on Sight and Sound.
IROS, 2023

Learning to Transform for Generalizable Instance-wise Invariance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cut and Learn for Unsupervised Object Detection and Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Controllable Medical Image Generation via GAN.
J. Percept. Imaging, February, 2022

SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold.
IEEE Trans. Neural Networks Learn. Syst., 2022

Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation.
IEEE Trans. Intell. Veh., 2022

Transformer for 3D Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images.
J. Comput. Civ. Eng., 2022

High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting.
CoRR, 2022

Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy.
CoRR, 2022

Tracking the Dynamics of the Tear Film Lipid Layer.
CoRR, 2022

Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models.
CoRR, 2022

CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens.
CoRR, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning.
CoRR, 2022

Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing.
Proceedings of the International Joint Conference on Neural Networks, 2022

3D Shape Reconstruction from Free-Hand Sketches.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Unsupervised Selective Labeling for More Effective Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Scene Sketch to Photo Synthesis.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Co-domain Symmetry for Complex-Valued Deep Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Iterative human and automated identification of wildlife images.
Nat. Mach. Intell., 2021

Data-Centric Semi-Supervised Learning.
CoRR, 2021

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss.
CoRR, 2021

Free Hyperbolic Neural Networks with Limited Radii.
CoRR, 2021

Recurrent Parameter Generators.
CoRR, 2021

The Emergence of Objectness: Learning Zero-shot Segmentation from Videos.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contextual Image Parsing via Panoptic Segment Sorting.
Proceedings of the MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, 2021

Memory-Efficient Learning for High-Dimensional MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts.
Proceedings of the 9th International Conference on Learning Representations, 2021

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Discriminative Learning of Sounds for Audio Event Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Controllable Medical Image Generation via Generative Adversarial Networks.
Proceedings of the Human Vision and Electronic Imaging 2021, Virtual Event, January 2021., 2021

Unsupervised Visual Attention and Invariance for Reinforcement Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021

Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images.
CoRR, 2020

Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups.
CoRR, 2020

BatVision with GCC-PHAT Features for Better Sound to Vision Predictions.
CoRR, 2020

Scene Novelty Prediction from Unsupervised Discriminative Feature Learning.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

BatVision: Learning to See 3D Spatial Layout with Two Ears.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Unsupervised Sketch to Photo Synthesis.
Proceedings of the Computer Vision - ECCV 2020, 2020

Orthogonal Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Open Compound Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
POIRot: A rotation invariant omni-directional pointnet.
CoRR, 2019

Surreal: Complex-Valued Deep Learning as Principled Transformations on a Rotational Lie Group.
CoRR, 2019

Building Information Modeling and Classification by Visual Learning At A City Scale.
CoRR, 2019

An Unpaired Sketch-to-Photo Translation Model.
CoRR, 2019

Compound Domain Adaptation in an Open World.
CoRR, 2019

Spatial Transformer for 3D Points.
CoRR, 2019

SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning.
CoRR, 2019

SegSort: Segmentation by Discriminative Sorting of Segments.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Visual Similarity from Optimizing Feature and Memory On A Hypersphere.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Adversarial Structure Matching for Structured Prediction Tasks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Driving Scene Retrieval by Example from Large-Scale Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Large-Scale Long-Tailed Recognition in an Open World.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability.
CoRR, 2018

Adversarial Structure Matching Loss for Image Segmentation.
CoRR, 2018

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination.
CoRR, 2018

Learning Beyond Human Expertise with Generative Models for Dental Restorations.
CoRR, 2018

Adaptive Affinity Field for Semantic Segmentation.
CoRR, 2018

Motion Selectivity of Neurons in Self-driving Networks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Improving Generalization via Scalable Neighborhood Component Analysis.
Proceedings of the Computer Vision - ECCV 2018, 2018

Adaptive Affinity Fields for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Imitation Learning of Path-Planned Driving Using Disparity-Depth Images.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Unsupervised Feature Learning via Non-Parametric Instance Discrimination.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CNN Feature Similarity: Paintings Are More Self-Similar at All Levels.
Proceedings of the Colour and Visual Computing Symposium, 2018

2017
Joint Embedding and Classification for SAR Target Recognition.
CoRR, 2017

Measuring Unsupervised-Supervised Real-Life Training of an Autonomous Model Car.
CoRR, 2017

First-Person Action-Object Detection with EgoNet.
Proceedings of the Robotics: Science and Systems XIII, 2017

Image Quality Assessment by Comparing CNN Features between Images.
Proceedings of the Image Quality and System Performance XIV, Electronic Imaging 2017, 2017

Better than real: Complex-valued neural nets for MRI fingerprinting.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Ground2sky label transfer for fine-grained aerial car recognition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Mooney face classification and prediction by learning across tone.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Am I a Baller? Basketball Performance Assessment from First-Person Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Unsupervised Learning of Important Objects from First-Person Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multigrid Neural Architectures.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Convolutional Random Walk Networks for Semantic Image Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Neural Multigrid.
CoRR, 2016

Exploiting Visual-Spatial First-Person Co-Occurrence for Action-Object Detection without Labels.
CoRR, 2016

Am I a Baller? Basketball Skill Assessment using First-Person Cameras.
CoRR, 2016

Fine-to-coarse knowledge transfer for low-res image classification.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

The perception of symmetry in the moving image: multi-level computational analysis of cinematographic scene structure and its visual reception.
Proceedings of the ACM Symposium on Applied Perception, 2016

2015
Constrained Structured Regression with Convolutional Neural Networks.
CoRR, 2015

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets.
CoRR, 2015

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning lightness from human judgement on relative reflectance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Hierarchical Scene Annotation.
Proceedings of the British Machine Vision Conference, 2013

2012
Angular Embedding: A Robust Quadratic Criterion.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Power SVM: Generalization with exemplar classification uncertainty.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Linear Scale and Rotation Invariant Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Pop out many small structures from a very large microscopic image.
Medical Image Anal., 2011

Object detection and segmentation from joint embedding of parts and pixels.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Classification and feature selection with human performance data.
Proceedings of the International Conference on Image Processing, 2010

Indoor-outdoor classification with human accuracies: Image or edge gist?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Structural correspondence as a contour grouping problem.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Finding dots: Segmentation as popping out regions from boundaries.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Image Compression Based on Visual Saliency at Individual Scales.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Edge-Preserving Laplacian Pyramid.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

A Unifying View of Contour Length Bias Correction.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Boundaries as Contours of Optimal Appearance and Area of Support.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Robust Segmentation by Cutting across a Stack of Gamma Transformed Images.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Angular embedding: From jarring intensity differences to perceived luminance.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Linear solution to scale and rotation invariant object matching.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Inferring spatial layout from a single image via depth-ordered grouping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2005
Segmentation Induced by Scale Invariance.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Segmentation Given Partial Grouping Constraints.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Segmentation Using Multiscale Cues.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Multiclass Spectral Clustering.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Object-Specific Figure-Ground Segregation.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Concurrent Object Recognition and Segmentation by Graph Partitioning.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Grouping with Bias.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Segmentation with Pairwise Attraction and Repulsion.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Grouping with Directed Relationships.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

A Hierarchical Markov Random Field Model for Figure-Ground Segregation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

Understanding Popout through Repulsion.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
What do V1 neurons tell us about saccadic suppression?
Neurocomputing, 2000

1999
An Information-Theoretic Framework for Understanding Saccadic Eye Movements.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999


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