Stella X. Yu

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 144

Top Venues

Publications

Iksung Kang, Qinrong Zhang, Stella X. Yu, Na Ji
Coordinate-based neural representations for computational adaptive optics in widefield microscopy. Nat. Mac. Intell. 6 (6) (2024)
Fei Pan, Sangryul Jeon, Brian Wang, Frank McKenna, Stella X. Yu
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models. WACV (2024)
Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney
VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. WACV (2024)
Jiayun Wang, Stella X. Yu, Yubei Chen
Trajectory Regularization Enhances Self-Supervised Geometric Representation. CoRR (2024)
Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang
Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations. CoRR (2024)
Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
Learning Hierarchical Image Segmentation For Recognition and By Recognition. ICLR (2024)
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
Open Long-Tailed Recognition in a Dynamic World. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Iksung Kang, Qinrong Zhang, Stella X. Yu, Na Ji
Coordinate-based neural representations for computational adaptive optics in widefield microscopy. CoRR (2023)
Fei Pan, Sangryul Jeon, Brian Wang, Frank McKenna, Stella X. Yu
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models. CoRR (2023)
Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
Learning to Transform for Generalizable Instance-wise Invariance. ICCV (2023)
Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR (2023)
Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu
How to guess a gradient. CoRR (2023)
Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
Compact and Optimal Deep Learning with Recurrent Parameter Generators. WACV (2023)
Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CoRR (2023)
Brunetto Amandine, Hornauer Sascha, Stella X. Yu, Moutarde Fabien
The Audio-Visual BatVision Dataset for Research on Sight and Sound. CoRR (2023)
Long Lian, Zhirong Wu, Stella X. Yu
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CVPR (2023)
Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction. NeurIPS (2023)
Long Lian, Zhirong Wu, Stella X. Yu
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CoRR (2023)
Dong-Jin Kim, Tsung-Wei Ke, Stella X. Yu
Local pseudo-attributes for long-tailed recognition. Pattern Recognit. Lett. 172 (2023)
Dong-Jin Kim, Zhongqi Miao, Yunhui Guo, Stella X. Yu
Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition. IEEE Signal Process. Lett. 30 (2023)
Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CVPR (2023)
Chun-Hsiao Yeh, Xudong Wang, Stella X. Yu, Charles Hill, Zackery Steck, Scott Kangas, Aaron A. Reite
Debiased Learning for Remote Sensing Data. CoRR (2023)
Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
Learning to Transform for Generalizable Instance-wise Invariance. CoRR (2023)
Amandine Brunetto, Sascha Hornauer, Stella X. Yu, Fabien Moutarde
The Audio-Visual BatVision Dataset for Research on Sight and Sound. IROS (2023)
Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney
VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. CoRR (2023)
Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou
Unsupervised Scene Sketch to Photo Synthesis. ECCV Workshops (2) (2022)
Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
Debiased Learning from Naturally Imbalanced Pseudo-Labels. CVPR (2022)
Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. CoRR (2022)
Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR (2022)
Long Lian, Zhirong Wu, Stella X. Yu
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. CoRR (2022)
Rudrasis Chakraborty, Yifei Xing, Stella X. Yu
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu
Transformer for 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CVPR (2022)
Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR (2022)
Tsung-Wei Ke, Stella X. Yu
CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. CoRR (2022)
Yunhui Guo, Chaofeng Wang, Stella X. Yu, Frank McKenna, Kincho H. Law
AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images. J. Comput. Civ. Eng. 36 (5) (2022)
Zhihang Ren, Stella X. Yu, David Whitney
Controllable Medical Image Generation via GAN. J. Percept. Imaging 5 (1) (2022)
Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
3D Shape Reconstruction from Free-Hand Sketches. ECCV Workshops (8) (2022)
Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou
Unsupervised Scene Sketch to Photo Synthesis. CoRR (2022)
Utkarsh Singhal, Yifei Xing, Stella X. Yu
Co-domain Symmetry for Complex-Valued Deep Learning. CVPR (2022)
Arian Ranjbar, Sascha Hornauer, Jonas Fredriksson, Stella X. Yu, Ching-Yao Chan
Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation. IEEE Trans. Intell. Veh. 7 (3) (2022)
Tejasvi Kothapalli, Charlie Shou, Jennifer Ding, Jiayun Wang, Andrew D. Graham, Tatyana Svitova, Stella X. Yu, Meng C. Lin
Tracking the Dynamics of the Tear Film Lipid Layer. CoRR (2022)
Yunhui Guo, Haoran Guo, Stella X. Yu
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CVPR (2022)
Xudong Wang, Long Lian, Stella X. Yu
Unsupervised Selective Labeling for More Effective Semi-supervised Learning. ECCV (30) (2022)
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
Open Long-Tailed Recognition in a Dynamic World. CoRR (2022)
Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. CoRR (2022)
Utkarsh Singhal, Stella X. Yu
Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing. IJCNN (2022)
Utkarsh Singhal, Stella X. Yu, Zackery Steck, Scott Kangas, Aaron A. Reite
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models. CoRR (2022)
Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) (2021)
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. ICASSP (2021)
Ke Wang, Jonathan I. Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella X. Yu, Michael Lustig
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss. CoRR (2021)
Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. ICLR (2021)
Jyh-Jing Hwang, Tsung-Wei Ke, Stella X. Yu
Contextual Image Parsing via Panoptic Segment Sorting. MULL @ ACM Multimedia (2021)
Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR (2021)
Yunhui Guo, Haoran Guo, Stella X. Yu
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CoRR (2021)
Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney
Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. CHASE (2021)
Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos. CoRR (2021)
Xudong Wang, Stella X. Yu
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. AAAI (2021)
Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
Free Hyperbolic Neural Networks with Limited Radii. CoRR (2021)
Xudong Wang, Ziwei Liu, Stella X. Yu
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. CVPR (2021)
Xudong Wang, Long Lian, Stella X. Yu
Data-Centric Semi-Supervised Learning. CoRR (2021)
Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. CoRR (2021)
Utkarsh Singhal, Yifei Xing, Stella X. Yu
Co-domain Symmetry for Complex-Valued Deep Learning. CoRR (2021)
Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
Recurrent Parameter Generators. CoRR (2021)
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. CoRR (2021)
Zhihang Ren, Stella X. Yu, David Whitney
Controllable Medical Image Generation via Generative Adversarial Networks. HVEI (2021)
Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. NeurIPS (2021)
Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. ICLR (2021)
Xudong Wang, Long Lian, Stella X. Yu
Unsupervised Visual Attention and Invariance for Reinforcement Learning. CoRR (2021)
Xudong Wang, Long Lian, Stella X. Yu
Unsupervised Visual Attention and Invariance for Reinforcement Learning. CVPR (2021)
Zhongqi Miao, Ziwei Liu, Kaitlyn M. Gaynor, Meredith S. Palmer, Stella X. Yu, Wayne M. Getz
Iterative Human and Automated Identification of Wildlife Images. CoRR (2021)
Zhongqi Miao, Ziwei Liu, Kaitlyn M. Gaynor, Meredith S. Palmer, Stella X. Yu, Wayne M. Getz
Iterative human and automated identification of wildlife images. Nat. Mach. Intell. 3 (10) (2021)
Yifei Xing, Rudrasis Chakraborty, Minxuan Duan, Stella X. Yu
C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. CoRR (2020)
Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu
BatVision with GCC-PHAT Features for Better Sound to Vision Predictions. CoRR (2020)
Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
3D Shape Reconstruction from Free-Hand Sketches. CoRR (2020)
Baladitya Yellapragada, Sascha Hornauer, Kiersten Snyder, Stella X. Yu, Glenn Yiu
Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images. CoRR (2020)
Rudrasis Chakraborty, Yifei Xing, Minxuan Duan, Stella X. Yu
C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. CVPR Workshops (2020)
Runtao Liu, Qian Yu, Stella X. Yu
Unsupervised Sketch to Photo Synthesis. ECCV (3) (2020)
Xudong Wang, Ziwei Liu, Stella X. Yu
Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups. CoRR (2020)
Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. CoRR (2020)
Arian Ranjbar, Chun-Hsiao Yeh, Sascha Hornauer, Stella X. Yu, Ching-Yao Chan
Scene Novelty Prediction from Unsupervised Discriminative Feature Learning. ITSC (2020)
Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu
BatVision: Learning to See 3D Spatial Layout with Two Ears. ICRA (2020)
Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong
Open Compound Domain Adaptation. CVPR (2020)
Xudong Wang, Stella X. Yu
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. CoRR (2020)
Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
Orthogonal Convolutional Neural Networks. CVPR (2020)
Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning. CoRR (2019)
Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu
Visual Similarity from Optimizing Feature and Memory On A Hypersphere. CVPR Workshops (2019)
Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu
BatVision: Learning to See 3D Spatial Layout with Two Ears. CoRR (2019)
Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu
Adversarial Structure Matching for Structured Prediction Tasks. CVPR (2019)
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
SegSort: Segmentation by Discriminative Sorting of Segments. ICCV (2019)
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
Large-Scale Long-Tailed Recognition in an Open World. CVPR (2019)
Qian Yu, Chaofeng Wang, Barbaros Cetiner, Stella X. Yu, Frank McKenna, Ertugrul Taciroglu, Kincho H. Law
Building Information Modeling and Classification by Visual Learning At A City Scale. CoRR (2019)
Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
Orthogonal Convolutional Neural Networks. CoRR (2019)
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
SegSort: Segmentation by Discriminative Sorting of Segments. CoRR (2019)
Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong
Compound Domain Adaptation in an Open World. CoRR (2019)
Runtao Liu, Qian Yu, Stella X. Yu
An Unpaired Sketch-to-Photo Translation Model. CoRR (2019)
Rudrasis Chakraborty, Yifei Xing, Stella X. Yu
Surreal: Complex-Valued Deep Learning as Principled Transformations on a Rotational Lie Group. CoRR (2019)
Liu Yang, Rudrasis Chakraborty, Stella X. Yu
POIRot: A rotation invariant omni-directional pointnet. CoRR (2019)
Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu
Spatial Transformer for 3D Points. CoRR (2019)
Sascha Hornauer, Baladitya Yellapragada, Arian Ranjbar, Stella X. Yu
Driving Scene Retrieval by Example from Large-Scale Data. CVPR Workshops (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stella X. Yu