Stella X. Yu - RankMe

200 papers A* 45A 5B 8Misc 1Journal 100Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Forest and Trees in Images and Long Captions for Visually Grounded Understanding. CoRR Byeongju Woo, Zilin Wang, Byeonghyun Pak, Sangwoo Mo, Stella X. Yu
2026	J	`jnl`	GeoSANE: Learning Geospatial Representations from Models, Not Data. CoRR Joëlle Hanna, Damian Falk, Stella X. Yu, Damian Borth
2026	J	`jnl`	SHED Light on Segmentation for Dense Prediction. CoRR Seung Hyun Lee, Sangwoo Mo, Stella X. Yu
2026	J	`jnl`	VIGOR: Visual Goal-In-Context Inference for Unified Humanoid Fall Safety. CoRR Osher Azulay, Zhengjie Xu, Andrew Scheffer, Stella X. Yu
2025	J	`jnl`	Author Correction: Coordinate-based neural representations for computational adaptive optics in widefield microscopy. Nat. Mac. Intell. Iksung Kang, Qinrong Zhang, Stella X. Yu, Na Ji
2025	J	`jnl`	Free-Grained Hierarchical Recognition. CoRR Seulki Park, Zilin Wang, Stella X. Yu
2025	A*	`conf`	Let Humanoids Hike! Integrative Skill Development on Complex Trails. CVPR Kwan-Yee Lin, Stella X. Yu
2025	J	`jnl`	Let Humanoids Hike! Integrative Skill Development on Complex Trails. CoRR Kwan-Yee Lin, Stella X. Yu
2025	J	`jnl`	Next-Embedding Prediction Makes Strong Vision Learners. CoRR Sihan Xu, Ziqiao Ma, Wenhao Chai, Xuweiyi Chen, Weiyang Jin, Joyce Chai, Saining Xie, Stella X. Yu
2025	J	`jnl`	Normalize Filters! Classical Wisdom for Deep Vision. CoRR Gustavo Pérez, Stella X. Yu
2025	J	`jnl`	Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion. CoRR Yan Xu, Yixing Wang, Stella X. Yu
2025	A*	`conf`	Open Ad-hoc Categorization with Contextualized Feature Learning. CVPR Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
2025	J	`jnl`	Open Ad-hoc Categorization with Contextualized Feature Learning. CoRR Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
2025	A*	`conf`	Test-Time Canonicalization by Foundation Models for Robust Perception. ICML Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash
2025	J	`jnl`	Test-Time Canonicalization by Foundation Models for Robust Perception. CoRR Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash
2025	J	`jnl`	Unified Humanoid Fall-Safety Policy from a Few Demonstrations. CoRR Zhengjie Xu, Ye Li, Kwan-Yee Lin, Stella X. Yu
2025	A*	`conf`	Visually Consistent Hierarchical Image Classification. ICLR Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang
2024	J	`jnl`	Coordinate-based neural representations for computational adaptive optics in widefield microscopy. Nat. Mac. Intell. Iksung Kang, Qinrong Zhang, Stella X. Yu, Na Ji
2024	A*	`conf`	Learning Hierarchical Image Segmentation For Recognition and By Recognition. ICLR Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
2024	J	`jnl`	Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations. CoRR Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang
2024	J	`jnl`	Open Long-Tailed Recognition in a Dynamic World. IEEE Trans. Pattern Anal. Mach. Intell. Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
2024	—	`conf`	Pose-Aware Self-supervised Learning with Viewpoint Trajectory Regularization. ECCV (21) Jiayun Wang, Yubei Chen, Stella X. Yu
2024	—	`conf`	SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). MICCAI (1) Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborti, Yunhui Guo, Stella X. Yu, David Whitney
2024	J	`jnl`	Trajectory Regularization Enhances Self-Supervised Geometric Representation. CoRR Jiayun Wang, Stella X. Yu, Yubei Chen
2024	A*	`conf`	Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CVPR Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
2024	A	`conf`	VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. WACV Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney
2024	A	`conf`	Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models. WACV Fei Pan, Sangryul Jeon, Brian Wang, Frank McKenna, Stella X. Yu
2023	A*	`conf`	Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CVPR Long Lian, Zhirong Wu, Stella X. Yu
2023	J	`jnl`	Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CoRR Long Lian, Zhirong Wu, Stella X. Yu
2023	A	`conf`	Compact and Optimal Deep Learning with Recurrent Parameter Generators. WACV Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
2023	J	`jnl`	Coordinate-based neural representations for computational adaptive optics in widefield microscopy. CoRR Iksung Kang, Qinrong Zhang, Stella X. Yu, Na Ji
2023	A*	`conf`	Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CVPR Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra
2023	J	`jnl`	Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CoRR Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra
2023	J	`jnl`	Debiased Learning for Remote Sensing Data. CoRR Chun-Hsiao Yeh, Xudong Wang, Stella X. Yu, Charles Hill, Zackery Steck, Scott Kangas, Aaron A. Reite
2023	J	`jnl`	How to guess a gradient. CoRR Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu
2023	A*	`conf`	Learning to Transform for Generalizable Instance-wise Invariance. ICCV Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
2023	J	`jnl`	Learning to Transform for Generalizable Instance-wise Invariance. CoRR Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
2023	J	`jnl`	Local pseudo-attributes for long-tailed recognition. Pattern Recognit. Lett. Dong-Jin Kim, Tsung-Wei Ke, Stella X. Yu
2023	J	`jnl`	Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition. IEEE Signal Process. Lett. Dong-Jin Kim, Zhongqi Miao, Yunhui Guo, Stella X. Yu
2023	A*	`conf`	ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction. NeurIPS Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig
2023	A	`conf`	The Audio-Visual BatVision Dataset for Research on Sight and Sound. IROS Amandine Brunetto, Sascha Hornauer, Stella X. Yu, Fabien Moutarde
2023	J	`jnl`	The Audio-Visual BatVision Dataset for Research on Sight and Sound. CoRR Amandine Brunetto, Sascha Hornauer, Stella X. Yu, Fabien Moutarde
2023	J	`jnl`	Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
2023	J	`jnl`	VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. CoRR Zhihang Ren, Jefferson Ortega, Yifan Wang, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney
2023	J	`jnl`	Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models. CoRR Fei Pan, Sangryul Jeon, Brian Wang, Frank McKenna, Stella X. Yu
2022	—	`conf`	3D Shape Reconstruction from Free-Hand Sketches. ECCV Workshops (8) Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
2022	J	`jnl`	AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images. J. Comput. Civ. Eng. Yunhui Guo, Chaofeng Wang, Stella X. Yu, Frank McKenna, Kincho H. Law
2022	J	`jnl`	CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. CoRR Tsung-Wei Ke, Stella X. Yu
2022	A*	`conf`	CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CVPR Yunhui Guo, Haoran Guo, Stella X. Yu
2022	A*	`conf`	Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
2022	A*	`conf`	Co-domain Symmetry for Complex-Valued Deep Learning. CVPR Utkarsh Singhal, Yifei Xing, Stella X. Yu
2022	B	`conf`	Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing. IJCNN Utkarsh Singhal, Stella X. Yu
2022	J	`jnl`	Controllable Medical Image Generation via GAN. J. Percept. Imaging Zhihang Ren, Stella X. Yu, David Whitney
2022	J	`jnl`	Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. CoRR Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
2022	A*	`conf`	Debiased Learning from Naturally Imbalanced Pseudo-Labels. CVPR Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
2022	J	`jnl`	High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. CoRR Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2022	J	`jnl`	Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. CoRR Long Lian, Zhirong Wu, Stella X. Yu
2022	J	`jnl`	Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models. CoRR Utkarsh Singhal, Stella X. Yu, Zackery Steck, Scott Kangas, Aaron A. Reite
2022	J	`jnl`	Open Long-Tailed Recognition in a Dynamic World. CoRR Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
2022	J	`jnl`	Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation. IEEE Trans. Intell. Veh. Arian Ranjbar, Sascha Hornauer, Jonas Fredriksson, Stella X. Yu, Ching-Yao Chan
2022	J	`jnl`	SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold. IEEE Trans. Neural Networks Learn. Syst. Rudrasis Chakraborty, Yifei Xing, Stella X. Yu
2022	J	`jnl`	Tracking the Dynamics of the Tear Film Lipid Layer. CoRR Tejasvi Kothapalli, Charlie Shou, Jennifer Ding, Jiayun Wang, Andrew D. Graham, Tatyana Svitova, Stella X. Yu, Meng C. Lin
2022	J	`jnl`	Transformer for 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu
2022	A*	`conf`	Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CVPR Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
2022	J	`jnl`	Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu
2022	—	`conf`	Unsupervised Scene Sketch to Photo Synthesis. ECCV Workshops (2) Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou
2022	J	`jnl`	Unsupervised Scene Sketch to Photo Synthesis. CoRR Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou
2022	—	`conf`	Unsupervised Selective Labeling for More Effective Semi-supervised Learning. ECCV (30) Xudong Wang, Long Lian, Stella X. Yu
2021	J	`jnl`	CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CoRR Yunhui Guo, Haoran Guo, Stella X. Yu
2021	J	`jnl`	Co-domain Symmetry for Complex-Valued Deep Learning. CoRR Utkarsh Singhal, Yifei Xing, Stella X. Yu
2021	—	`conf`	Contextual Image Parsing via Panoptic Segment Sorting. MULL @ ACM Multimedia Jyh-Jing Hwang, Tsung-Wei Ke, Stella X. Yu
2021	—	`conf`	Controllable Medical Image Generation via Generative Adversarial Networks. HVEI Zhihang Ren, Stella X. Yu, David Whitney
2021	J	`jnl`	Data-Centric Semi-Supervised Learning. CoRR Xudong Wang, Long Lian, Stella X. Yu
2021	J	`jnl`	Free Hyperbolic Neural Networks with Limited Radii. CoRR Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
2021	J	`jnl`	High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss. CoRR Ke Wang, Jonathan I. Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella X. Yu, Michael Lustig
2021	B	`conf`	Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. CHASE Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney
2021	J	`jnl`	Iterative Human and Automated Identification of Wildlife Images. CoRR Zhongqi Miao, Ziwei Liu, Kaitlyn M. Gaynor, Meredith S. Palmer, Stella X. Yu, Wayne M. Getz
2021	J	`jnl`	Iterative human and automated identification of wildlife images. Nat. Mach. Intell. Zhongqi Miao, Ziwei Liu, Kaitlyn M. Gaynor, Meredith S. Palmer, Stella X. Yu, Wayne M. Getz
2021	A*	`conf`	Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. ICLR Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu
2021	—	`conf`	Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	J	`jnl`	Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	J	`jnl`	Recurrent Parameter Generators. CoRR Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
2021	J	`jnl`	The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos. CoRR Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin
2021	A*	`conf`	The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. NeurIPS Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin
2021	A*	`conf`	Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. AAAI Xudong Wang, Stella X. Yu
2021	A*	`conf`	Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. ICLR Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu
2021	J	`jnl`	Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. CoRR Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu
2021	Misc	`conf`	Unsupervised Discriminative Learning of Sounds for Audio Event Classification. ICASSP Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
2021	J	`jnl`	Unsupervised Discriminative Learning of Sounds for Audio Event Classification. CoRR Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
2021	A*	`conf`	Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. CVPR Xudong Wang, Ziwei Liu, Stella X. Yu
2021	A*	`conf`	Unsupervised Visual Attention and Invariance for Reinforcement Learning. CVPR Xudong Wang, Long Lian, Stella X. Yu
2021	J	`jnl`	Unsupervised Visual Attention and Invariance for Reinforcement Learning. CoRR Xudong Wang, Long Lian, Stella X. Yu
2020	J	`jnl`	3D Shape Reconstruction from Free-Hand Sketches. CoRR Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
2020	J	`jnl`	BatVision with GCC-PHAT Features for Better Sound to Vision Predictions. CoRR Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu
2020	A*	`conf`	BatVision: Learning to See 3D Spatial Layout with Two Ears. ICRA Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu
2020	—	`conf`	C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. CVPR Workshops Rudrasis Chakraborty, Yifei Xing, Minxuan Duan, Stella X. Yu
2020	J	`jnl`	C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. CoRR Yifei Xing, Rudrasis Chakraborty, Minxuan Duan, Stella X. Yu
2020	J	`jnl`	Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. CoRR Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu
2020	A*	`conf`	Open Compound Domain Adaptation. CVPR Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong
2020	A*	`conf`	Orthogonal Convolutional Neural Networks. CVPR Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
2020	—	`conf`	Scene Novelty Prediction from Unsupervised Discriminative Feature Learning. ITSC Arian Ranjbar, Chun-Hsiao Yeh, Sascha Hornauer, Stella X. Yu, Ching-Yao Chan
2020	J	`jnl`	Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. CoRR Xudong Wang, Stella X. Yu
2020	J	`jnl`	Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups. CoRR Xudong Wang, Ziwei Liu, Stella X. Yu
2020	—	`conf`	Unsupervised Sketch to Photo Synthesis. ECCV (3) Runtao Liu, Qian Yu, Stella X. Yu
2020	J	`jnl`	Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images. CoRR Baladitya Yellapragada, Sascha Hornauer, Kiersten Snyder, Stella X. Yu, Glenn Yiu
2019	A*	`conf`	Adversarial Structure Matching for Structured Prediction Tasks. CVPR Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu
2019	J	`jnl`	An Unpaired Sketch-to-Photo Translation Model. CoRR Runtao Liu, Qian Yu, Stella X. Yu
2019	J	`jnl`	BatVision: Learning to See 3D Spatial Layout with Two Ears. CoRR Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu
2019	J	`jnl`	Building Information Modeling and Classification by Visual Learning At A City Scale. CoRR Qian Yu, Chaofeng Wang, Barbaros Cetiner, Stella X. Yu, Frank McKenna, Ertugrul Taciroglu, Kincho H. Law
2019	J	`jnl`	Compound Domain Adaptation in an Open World. CoRR Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong
2019	—	`conf`	Driving Scene Retrieval by Example from Large-Scale Data. CVPR Workshops Sascha Hornauer, Baladitya Yellapragada, Arian Ranjbar, Stella X. Yu
2019	A*	`conf`	Large-Scale Long-Tailed Recognition in an Open World. CVPR Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
2019	J	`jnl`	Large-Scale Long-Tailed Recognition in an Open World. CoRR Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
2019	J	`jnl`	Orthogonal Convolutional Neural Networks. CoRR Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
2019	J	`jnl`	POIRot: A rotation invariant omni-directional pointnet. CoRR Liu Yang, Rudrasis Chakraborty, Stella X. Yu
2019	A*	`conf`	SegSort: Segmentation by Discriminative Sorting of Segments. ICCV Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
2019	J	`jnl`	SegSort: Segmentation by Discriminative Sorting of Segments. CoRR Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
2019	J	`jnl`	Spatial Transformer for 3D Points. CoRR Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu
2019	—	`conf`	Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning. CVPR Workshops Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu
2019	J	`jnl`	SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning. CoRR Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu
2019	J	`jnl`	Surreal: Complex-Valued Deep Learning as Principled Transformations on a Rotational Lie Group. CoRR Rudrasis Chakraborty, Yifei Xing, Stella X. Yu
2019	—	`conf`	Visual Similarity from Optimizing Feature and Memory On A Hypersphere. CVPR Workshops Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu
2018	J	`jnl`	Adaptive Affinity Field for Semantic Segmentation. CoRR Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu
2018	—	`conf`	Adaptive Affinity Fields for Semantic Segmentation. ECCV (1) Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu
2018	J	`jnl`	Adversarial Structure Matching Loss for Image Segmentation. CoRR Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu
2018	—	`conf`	CNN Feature Similarity: Paintings Are More Self-Similar at All Levels. CVCS Seyed Ali Amirshahi, Stella X. Yu
2018	—	`conf`	Imitation Learning of Path-Planned Driving Using Disparity-Depth Images. ECCV Workshops (5) Sascha Hornauer, Karl Zipser, Stella X. Yu
2018	—	`conf`	Improving Generalization via Scalable Neighborhood Component Analysis. ECCV (7) Zhirong Wu, Alexei A. Efros, Stella X. Yu
2018	J	`jnl`	Improving Generalization via Scalable Neighborhood Component Analysis. CoRR Zhirong Wu, Alexei A. Efros, Stella X. Yu
2018	J	`jnl`	Learning Beyond Human Expertise with Generative Models for Dental Restorations. CoRR Jyh-Jing Hwang, Sergei Azernikov, Alexei A. Efros, Stella X. Yu
2018	—	`conf`	Motion Selectivity of Neurons in Self-driving Networks. ECCV Workshops (5) Baladitya Yellapragada, Alexander Anderson, Stella X. Yu, Karl Zipser
2018	J	`jnl`	Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability. CoRR Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan, Seyed Ali Amirshahi, Stella X. Yu
2018	A*	`conf`	Unsupervised Feature Learning via Non-Parametric Instance Discrimination. CVPR Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin
2018	J	`jnl`	Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. CoRR Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin
2017	A*	`conf`	Am I a Baller? Basketball Performance Assessment from First-Person Videos. ICCV Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi
2017	J	`jnl`	Better than Real: Complex-valued Neural Nets for MRI Fingerprinting. CoRR Patrick Virtue, Stella X. Yu, Michael Lustig
2017	B	`conf`	Better than real: Complex-valued neural nets for MRI fingerprinting. ICIP Patrick Virtue, Stella X. Yu, Michael Lustig
2017	A*	`conf`	Convolutional Random Walk Networks for Semantic Image Segmentation. CVPR Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi
2017	—	`conf`	First-Person Action-Object Detection with EgoNet. Robotics: Science and Systems Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi
2017	B	`conf`	Ground2sky label transfer for fine-grained aerial car recognition. ICIP Baochen Sun, Xingchao Peng, Stella X. Yu, Kate Saenko
2017	—	`conf`	Image Quality Assessment by Comparing CNN Features between Images. IQSP Seyed Ali Amirshahi, Marius Pedersen, Stella X. Yu
2017	J	`jnl`	Joint Embedding and Classification for SAR Target Recognition. CoRR Jiayun Wang, Patrick Virtue, Stella X. Yu
2017	A*	`conf`	Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories. CVPR Jian Shi, Yue Dong, Hao Su, Stella X. Yu
2017	J	`jnl`	Measuring Unsupervised-Supervised Real-Life Training of an Autonomous Model Car. CoRR Sascha Hornauer, Karl Zipser, Stella X. Yu
2017	B	`conf`	Mooney face classification and prediction by learning across tone. ICIP Tsung-Wei Ke, Stella X. Yu, David Whitney
2017	A*	`conf`	Multigrid Neural Architectures. CVPR Tsung-Wei Ke, Michael Maire, Stella X. Yu
2017	A*	`conf`	Unsupervised Learning of Important Objects from First-Person Videos. ICCV Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi
2016	A*	`conf`	Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CVPR Michael Maire, Takuya Narihira, Stella X. Yu
2016	J	`jnl`	Am I a Baller? Basketball Skill Assessment using First-Person Cameras. CoRR Gedas Bertasius, Stella X. Yu, Hyun Soo Park, Jianbo Shi
2016	J	`jnl`	Convolutional Random Walk Networks for Semantic Image Segmentation. CoRR Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi
2016	J	`jnl`	Exploiting Visual-Spatial First-Person Co-Occurrence for Action-Object Detection without Labels. CoRR Gedas Bertasius, Stella X. Yu, Jianbo Shi
2016	J	`jnl`	Fine-to-coarse Knowledge Transfer For Low-Res Image Classification. CoRR Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko
2016	B	`conf`	Fine-to-coarse knowledge transfer for low-res image classification. ICIP Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko
2016	J	`jnl`	First Person Action-Object Detection with EgoNet. CoRR Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi
2016	J	`jnl`	Learning Non-Lambertian Object Intrinsics across ShapeNet Categories. CoRR Jian Shi, Yue Dong, Hao Su, Stella X. Yu
2016	J	`jnl`	Neural Multigrid. CoRR Tsung-Wei Ke, Michael Maire, Stella X. Yu
2016	B	`conf`	The perception of symmetry in the moving image: multi-level computational analysis of cinematographic scene structure and its visual reception. SAP Jakob Suchan, Mehul Bhatt, Stella X. Yu
2015	J	`jnl`	Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CoRR Michael Maire, Takuya Narihira, Stella X. Yu
2015	J	`jnl`	Constrained Structured Regression with Convolutional Neural Networks. CoRR Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell
2015	A*	`conf`	Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. ICCV Takuya Narihira, Michael Maire, Stella X. Yu
2015	J	`jnl`	Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. CoRR Takuya Narihira, Michael Maire, Stella X. Yu
2015	A*	`conf`	FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences. CVPR Tinghui Zhou, Yong Jae Lee, Stella X. Yu, Alexei A. Efros
2015	A*	`conf`	Learning lightness from human judgement on relative reflectance. CVPR Takuya Narihira, Michael Maire, Stella X. Yu
2015	J	`jnl`	Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. CoRR Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell
2014	—	`conf`	Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. ACCV (4) Michael Maire, Stella X. Yu, Pietro Perona
2014	J	`jnl`	Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. CoRR Michael Maire, Stella X. Yu, Pietro Perona
2013	A	`conf`	Hierarchical Scene Annotation. BMVC Michael Maire, Stella X. Yu, Pietro Perona
2013	A*	`conf`	Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation. ICCV Michael Maire, Stella X. Yu
2012	J	`jnl`	Angular Embedding: A Robust Quadratic Criterion. IEEE Trans. Pattern Anal. Mach. Intell. Stella X. Yu
2012	A*	`conf`	Power SVM: Generalization with exemplar classification uncertainty. CVPR Weiyu Zhang, Stella X. Yu, Shang-Hua Teng
2011	J	`jnl`	Linear Scale and Rotation Invariant Matching. IEEE Trans. Pattern Anal. Mach. Intell. Hao Jiang, Stella X. Yu, David R. Martin
2011	A*	`conf`	Object detection and segmentation from joint embedding of parts and pixels. ICCV Michael Maire, Stella X. Yu, Pietro Perona
2011	J	`jnl`	Pop out many small structures from a very large microscopic image. Medical Image Anal. Elena Bernardis, Stella X. Yu
2010	B	`conf`	Classification and feature selection with human performance data. ICIP Christina Pavlopoulou, Stella X. Yu
2010	—	`conf`	Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike. NIPS Stella X. Yu
2010	A*	`conf`	Finding dots: Segmentation as popping out regions from boundaries. CVPR Elena Bernardis, Stella X. Yu
2010	—	`conf`	Indoor-outdoor classification with human accuracies: Image or edge gist? CVPR Workshops Christina Pavlopoulou, Stella X. Yu
2010	—	`conf`	Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image. MICCAI (1) Elena Bernardis, Stella X. Yu
2010	—	`conf`	Structural correspondence as a contour grouping problem. CVPR Workshops Elena Bernardis, Stella X. Yu
2009	—	`conf`	A Unifying View of Contour Length Bias Correction. ISVC (1) Christina Pavlopoulou, Stella X. Yu
2009	A*	`conf`	Angular embedding: From jarring intensity differences to perceived luminance. CVPR Stella X. Yu
2009	—	`conf`	Boundaries as Contours of Optimal Appearance and Area of Support. EMMCVPR Christina Pavlopoulou, Stella X. Yu
2009	—	`conf`	Edge-Preserving Laplacian Pyramid. ISVC (1) Stella X. Yu
2009	—	`conf`	Image Compression Based on Visual Saliency at Individual Scales. ISVC (1) Stella X. Yu, Dimitri A. Lisin
2009	A*	`conf`	Linear solution to scale and rotation invariant object matching. CVPR Hao Jiang, Stella X. Yu
2009	—	`conf`	Robust Segmentation by Cutting across a Stack of Gamma Transformed Images. EMMCVPR Elena Bernardis, Stella X. Yu
2008	—	`conf`	Inferring spatial layout from a single image via depth-ordered grouping. CVPR Workshops Stella X. Yu, Hao Zhang, Jitendra Malik
2005	—	`conf`	Segmentation Induced by Scale Invariance. CVPR (1) Stella X. Yu
2004	J	`jnl`	Segmentation Given Partial Grouping Constraints. IEEE Trans. Pattern Anal. Mach. Intell. Stella X. Yu, Jianbo Shi
2004	—	`conf`	Segmentation Using Multiscale Cues. CVPR (1) Stella X. Yu
2003	A*	`conf`	Multiclass Spectral Clustering. ICCV Stella X. Yu, Jianbo Shi
2003	—	`conf`	Object-Specific Figure-Ground Segregation. CVPR (2) Stella X. Yu, Jianbo Shi
2002	—	`conf`	Concurrent Object Recognition and Segmentation by Graph Partitioning. NIPS Stella X. Yu, Ralph Gross, Jianbo Shi
2001	—	`conf`	A Hierarchical Markov Random Field Model for Figure-Ground Segregation. EMMCVPR Stella X. Yu, Tai Sing Lee, Takeo Kanade
2001	—	`conf`	Grouping with Bias. NIPS Stella X. Yu, Jianbo Shi
2001	—	`conf`	Grouping with Directed Relationships. EMMCVPR Stella X. Yu, Jianbo Shi
2001	A*	`conf`	Segmentation with Pairwise Attraction and Repulsion. ICCV Stella X. Yu, Jianbo Shi
2001	—	`conf`	Understanding Popout through Repulsion. CVPR (2) Stella X. Yu, Jianbo Shi
2000	J	`jnl`	What do V1 neurons tell us about saccadic suppression? Neurocomputing Stella X. Yu, Tai Sing Lee
1999	—	`conf`	An Information-Theoretic Framework for Understanding Saccadic Eye Movements. NIPS Tai Sing Lee, Stella X. Yu