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Journal Articles

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2024
[j15]
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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): 714-725 (2024)
[j14]
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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): 1836-1851 (2024)
2023
[j13]
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Dong-Jin Kim, Tsung-Wei Ke, Stella X. Yu:
Local pseudo-attributes for long-tailed recognition. Pattern Recognit. Lett. 172: 51-57 (2023)
[j12]
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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: 259-263 (2023)
2022
[j11]
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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)
[j10]
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Zhihang Ren, Stella X. Yu, David Whitney:
Controllable Medical Image Generation via GAN. J. Percept. Imaging 5(1): 000502-1 (2022)
[j9]
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Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu:
Transformer for 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4419-4431 (2022)
[j8]
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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): 711-721 (2022)
[j7]
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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): 940-951 (2022)
2021
[j6]
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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): 885-895 (2021)
2012
[j5]
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Stella X. Yu:
Angular Embedding: A Robust Quadratic Criterion. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 158-173 (2012)
2011
[j4]
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Elena Bernardis, Stella X. Yu:
Pop out many small structures from a very large microscopic image. Medical Image Anal. 15(5): 690-707 (2011)
[j3]
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Hao Jiang, Stella X. Yu, David R. Martin:
Linear Scale and Rotation Invariant Matching. IEEE Trans. Pattern Anal. Mach. Intell. 33(7): 1339-1355 (2011)
2004
[j2]
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Stella X. Yu, Jianbo Shi:
Segmentation Given Partial Grouping Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 173-183 (2004)
2000
[j1]
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  - journals/ijon/YuL00
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Stella X. Yu, Tai Sing Lee:
What do V1 neurons tell us about saccadic suppression? Neurocomputing 32-33: 271-277 (2000)

Conference and Workshop Papers

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2024
[c96]
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Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CVPR 2024: 23199-23208
[c95]
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Jiayun Wang, Yubei Chen, Stella X. Yu:
Pose-Aware Self-supervised Learning with Viewpoint Trajectory Regularization. ECCV (21) 2024: 19-37
[c94]
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Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu:
Learning Hierarchical Image Segmentation For Recognition and By Recognition. ICLR 2024
[c93]
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  - conf/miccai/RenLLXDFCGYW24
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Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborti, Yunhui Guo, Stella X. Yu, David Whitney:
SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). MICCAI (1) 2024: 405-415
[c92]
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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: 4455-4465
[c91]
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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: 8632-8641
2023
[c90]
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  - conf/cvpr/0007GYM23
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Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra:
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CVPR 2023: 3124-3134
[c89]
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  - conf/cvpr/LianWY23
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Long Lian, Zhirong Wu, Stella X. Yu:
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CVPR 2023: 14582-14591
[c88]
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  - conf/iccv/SinghalEMY23
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Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu:
Learning to Transform for Generalizable Instance-wise Invariance. ICCV 2023: 6188-6198
[c87]
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  - conf/iros/BrunettoHYM23
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Amandine Brunetto, Sascha Hornauer, Stella X. Yu, Fabien Moutarde:
The Audio-Visual BatVision Dataset for Research on Sight and Sound. IROS 2023: 1-8
[c86]
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  - conf/nips/MacayaRWKCYL23
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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
[c85]
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  - conf/wacv/WangCYCL23
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Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun:
Compact and Optimal Deep Learning with Recurrent Parameter Generators. WACV 2023: 3889-3899
2022
[c84]
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  - conf/cvpr/GuoWCY22
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Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR 2022: 1-10
[c83]
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Yunhui Guo, Haoran Guo, Stella X. Yu:
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CVPR 2022: 11-20
[c82]
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  - conf/cvpr/SinghalXY22
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Utkarsh Singhal, Yifei Xing, Stella X. Yu:
Co-domain Symmetry for Complex-Valued Deep Learning. CVPR 2022: 671-680
[c81]
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  - conf/cvpr/KeHGWY22
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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: 2561-2571
[c80]
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  - conf/cvpr/WangWLY22
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Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels. CVPR 2022: 14627-14637
[c79]
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  - conf/eccv/WangLYLCY22
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Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu:
3D Shape Reconstruction from Free-Hand Sketches. ECCV Workshops (8) 2022: 184-202
[c78]
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  - conf/eccv/WangJYZAL22
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Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou:
Unsupervised Scene Sketch to Photo Synthesis. ECCV Workshops (2) 2022: 273-289
[c77]
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  - conf/eccv/WangLY22
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Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Selective Labeling for More Effective Semi-supervised Learning. ECCV (30) 2022: 427-445
[c76]
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  - conf/ijcnn/SinghalY22
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Utkarsh Singhal, Stella X. Yu:
Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing. IJCNN 2022: 1-8
2021
[c75]
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  - conf/aaai/WangY21
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Xudong Wang, Stella X. Yu:
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. AAAI 2021: 10227-10235
[c74]
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  - conf/chase/RenGYW21
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Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney:
Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. CHASE 2021: 23-34
[c73]
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  - conf/cvpr/WangLY21
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Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Visual Attention and Invariance for Reinforcement Learning. CVPR 2021: 6677-6687
[c72]
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  - conf/cvpr/Wang0Y21
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Xudong Wang, Ziwei Liu, Stella X. Yu:
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. CVPR 2021: 12586-12595
[c71]
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  - conf/hvei/RenYW21
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Zhihang Ren, Stella X. Yu, David Whitney:
Controllable Medical Image Generation via Generative Adversarial Networks. HVEI 2021
[c70]
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  - conf/icassp/HornauerLYGR21
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Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren:
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. ICASSP 2021: 3035-3039
[c69]
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  - conf/iclr/KeHY21
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Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu:
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. ICLR 2021
[c68]
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  - conf/iclr/WangLM0Y21
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Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu:
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. ICLR 2021
[c67]
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  - conf/miccai/WangKSZVTYL21
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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: 461-470
[c66]
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Jyh-Jing Hwang, Tsung-Wei Ke, Stella X. Yu:
Contextual Image Parsing via Panoptic Segment Sorting. MULL @ ACM Multimedia 2021: 27-36
[c65]
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Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin:
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. NeurIPS 2021: 13137-13152
2020
[c64]
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  - conf/cvpr/ChakrabortyXDY20
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Rudrasis Chakraborty, Yifei Xing, Minxuan Duan, Stella X. Yu:
C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. CVPR Workshops 2020: 360-367
[c63]
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Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. CVPR 2020: 11502-11512
[c62]
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  - conf/cvpr/0002MPZLYG20
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Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong:
Open Compound Domain Adaptation. CVPR 2020: 12403-12412
[c61]
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Runtao Liu, Qian Yu, Stella X. Yu:
Unsupervised Sketch to Photo Synthesis. ECCV (3) 2020: 36-52
[c60]
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  - conf/icra/ChristensenHY20
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Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu:
BatVision: Learning to See 3D Spatial Layout with Two Ears. ICRA 2020: 1581-1587
[c59]
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Arian Ranjbar, Chun-Hsiao Yeh, Sascha Hornauer, Stella X. Yu, Ching-Yao Chan:
Scene Novelty Prediction from Unsupervised Discriminative Feature Learning. ITSC 2020: 1-7
2019
[c58]
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Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu:
Visual Similarity from Optimizing Feature and Memory On A Hypersphere. CVPR Workshops 2019: 13-16
[c57]
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Sascha Hornauer, Baladitya Yellapragada, Arian Ranjbar, Stella X. Yu:
Driving Scene Retrieval by Example from Large-Scale Data. CVPR Workshops 2019: 25-28
[c56]
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Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu:
Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning. CVPR Workshops 2019: 889-897
[c55]
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Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Large-Scale Long-Tailed Recognition in an Open World. CVPR 2019: 2537-2546
[c54]
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Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu:
Adversarial Structure Matching for Structured Prediction Tasks. CVPR 2019: 4056-4065
[c53]
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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: 7333-7343
2018
[c52]
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Seyed Ali Amirshahi, Stella X. Yu:
CNN Feature Similarity: Paintings Are More Self-Similar at All Levels. CVCS 2018: 1-6
[c51]
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Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin:
Unsupervised Feature Learning via Non-Parametric Instance Discrimination. CVPR 2018: 3733-3742
[c50]
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Baladitya Yellapragada, Alexander Anderson, Stella X. Yu, Karl Zipser:
Motion Selectivity of Neurons in Self-driving Networks. ECCV Workshops (5) 2018: 535-541
[c49]
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Sascha Hornauer, Karl Zipser, Stella X. Yu:
Imitation Learning of Path-Planned Driving Using Disparity-Depth Images. ECCV Workshops (5) 2018: 542-548
[c48]
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Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu:
Adaptive Affinity Fields for Semantic Segmentation. ECCV (1) 2018: 605-621
[c47]
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Zhirong Wu, Alexei A. Efros, Stella X. Yu:
Improving Generalization via Scalable Neighborhood Component Analysis. ECCV (7) 2018: 712-728
2017
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Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Multigrid Neural Architectures. CVPR 2017: 4067-4075
[c45]
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Jian Shi, Yue Dong, Hao Su, Stella X. Yu:
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories. CVPR 2017: 5844-5853
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Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi:
Convolutional Random Walk Networks for Semantic Image Segmentation. CVPR 2017: 6137-6145
[c43]
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Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi:
Unsupervised Learning of Important Objects from First-Person Videos. ICCV 2017: 1974-1982
[c42]
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Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi:
Am I a Baller? Basketball Performance Assessment from First-Person Videos. ICCV 2017: 2196-2204
[c41]
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Baochen Sun, Xingchao Peng, Stella X. Yu, Kate Saenko:
Ground2sky label transfer for fine-grained aerial car recognition. ICIP 2017: 360-364
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Tsung-Wei Ke, Stella X. Yu, David Whitney:
Mooney face classification and prediction by learning across tone. ICIP 2017: 2025-2029
[c39]
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Patrick Virtue, Stella X. Yu, Michael Lustig:
Better than real: Complex-valued neural nets for MRI fingerprinting. ICIP 2017: 3953-3957
[c38]
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Seyed Ali Amirshahi, Marius Pedersen, Stella X. Yu:
Image Quality Assessment by Comparing CNN Features between Images. IQSP 2017: 42-51
[c37]
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Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi:
First-Person Action-Object Detection with EgoNet. Robotics: Science and Systems 2017
2016
[c36]
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Jakob Suchan, Mehul Bhatt, Stella X. Yu:
The perception of symmetry in the moving image: multi-level computational analysis of cinematographic scene structure and its visual reception. SAP 2016: 142
[c35]
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Michael Maire, Takuya Narihira, Stella X. Yu:
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CVPR 2016: 174-182
[c34]
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Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko:
Fine-to-coarse knowledge transfer for low-res image classification. ICIP 2016: 3683-3687
2015
[c33]
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Tinghui Zhou, Yong Jae Lee, Stella X. Yu, Alexei A. Efros:
FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences. CVPR 2015: 1191-1200
[c32]
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Takuya Narihira, Michael Maire, Stella X. Yu:
Learning lightness from human judgement on relative reflectance. CVPR 2015: 2965-2973
[c31]
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Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. ICCV 2015: 2992
2014
[c30]
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Michael Maire, Stella X. Yu, Pietro Perona:
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. ACCV (4) 2014: 273-287
2013
[c29]
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Michael Maire, Stella X. Yu, Pietro Perona:
Hierarchical Scene Annotation. BMVC 2013
[c28]
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Michael Maire, Stella X. Yu:
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation. ICCV 2013: 2184-2191
2012
[c27]
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Weiyu Zhang, Stella X. Yu, Shang-Hua Teng:
Power SVM: Generalization with exemplar classification uncertainty. CVPR 2012: 2144-2151
2011
[c26]
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Michael Maire, Stella X. Yu, Pietro Perona:
Object detection and segmentation from joint embedding of parts and pixels. ICCV 2011: 2142-2149
2010
[c25]
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  - conf/cvpr/PavlopoulouY10
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Christina Pavlopoulou, Stella X. Yu:
Indoor-outdoor classification with human accuracies: Image or edge gist? CVPR Workshops 2010: 41-47
[c24]
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  - conf/cvpr/BernardisY10a
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Elena Bernardis, Stella X. Yu:
Structural correspondence as a contour grouping problem. CVPR Workshops 2010: 194-199
[c23]
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Elena Bernardis, Stella X. Yu:
Finding dots: Segmentation as popping out regions from boundaries. CVPR 2010: 199-206
[c22]
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Christina Pavlopoulou, Stella X. Yu:
Classification and feature selection with human performance data. ICIP 2010: 1557-1560
[c21]
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Elena Bernardis, Stella X. Yu:
Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image. MICCAI (1) 2010: 119-126
[c20]
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Stella X. Yu:
Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike. NIPS 2010: 2523-2531
2009
[c19]
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Stella X. Yu:
Angular embedding: From jarring intensity differences to perceived luminance. CVPR 2009: 2302-2309
[c18]
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Hao Jiang, Stella X. Yu:
Linear solution to scale and rotation invariant object matching. CVPR 2009: 2474-2481
[c17]
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Elena Bernardis, Stella X. Yu:
Robust Segmentation by Cutting across a Stack of Gamma Transformed Images. EMMCVPR 2009: 249-260
[c16]
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Christina Pavlopoulou, Stella X. Yu:
Boundaries as Contours of Optimal Appearance and Area of Support. EMMCVPR 2009: 480-491
[c15]
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Stella X. Yu, Dimitri A. Lisin:
Image Compression Based on Visual Saliency at Individual Scales. ISVC (1) 2009: 157-166
[c14]
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Stella X. Yu:
Edge-Preserving Laplacian Pyramid. ISVC (1) 2009: 307-316
[c13]
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Christina Pavlopoulou, Stella X. Yu:
A Unifying View of Contour Length Bias Correction. ISVC (1) 2009: 906-913
2008
[c12]
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Stella X. Yu, Hao Zhang, Jitendra Malik:
Inferring spatial layout from a single image via depth-ordered grouping. CVPR Workshops 2008: 1-7
2005
[c11]
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Stella X. Yu:
Segmentation Induced by Scale Invariance. CVPR (1) 2005: 444-451
2004
[c10]
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Stella X. Yu:
Segmentation Using Multiscale Cues. CVPR (1) 2004: 247-254
2003
[c9]
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Stella X. Yu, Jianbo Shi:
Object-Specific Figure-Ground Segregation. CVPR (2) 2003: 39-45
[c8]
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Stella X. Yu, Jianbo Shi:
Multiclass Spectral Clustering. ICCV 2003: 313-319
2002
[c7]
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Stella X. Yu, Ralph Gross, Jianbo Shi:
Concurrent Object Recognition and Segmentation by Graph Partitioning. NIPS 2002: 1383-1390
2001
[c6]
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Stella X. Yu, Jianbo Shi:
Understanding Popout through Repulsion. CVPR (2) 2001: 752-757
[c5]
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Stella X. Yu, Tai Sing Lee, Takeo Kanade:
A Hierarchical Markov Random Field Model for Figure-Ground Segregation. EMMCVPR 2001: 118-133
[c4]
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Stella X. Yu, Jianbo Shi:
Grouping with Directed Relationships. EMMCVPR 2001: 283-297
[c3]
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Stella X. Yu, Jianbo Shi:
Segmentation with Pairwise Attraction and Repulsion. ICCV 2001: 52-58
[c2]
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Stella X. Yu, Jianbo Shi:
Grouping with Bias. NIPS 2001: 1327-1334
1999
[c1]
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Tai Sing Lee, Stella X. Yu:
An Information-Theoretic Framework for Understanding Saccadic Eye Movements. NIPS 1999: 834-840

Informal and Other Publications

see FAQ

What is the meaning of the colors in the publication lists?

2024
[i72]
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Jiayun Wang, Stella X. Yu, Yubei Chen:
Trajectory Regularization Enhances Self-Supervised Geometric Representation. CoRR abs/2403.14973 (2024)
[i71]
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  - journals/corr/abs-2406-11608
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Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang:
Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations. CoRR abs/2406.11608 (2024)
2023
[i70]
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Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra:
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CoRR abs/2301.11320 (2023)
[i69]
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  - journals/corr/abs-2303-07257
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Amandine Brunetto, Sascha Hornauer, Stella X. Yu, Fabien Moutarde:
The Audio-Visual BatVision Dataset for Research on Sight and Sound. CoRR abs/2303.07257 (2023)
[i68]
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  - journals/corr/abs-2304-08025
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Long Lian, Zhirong Wu, Stella X. Yu:
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CoRR abs/2304.08025 (2023)
[i67]
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  - journals/corr/abs-2307-01421
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Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR abs/2307.01421 (2023)
[i66]
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  - journals/corr/abs-2307-03812
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Iksung Kang, Qinrong Zhang, Stella X. Yu, Na Ji:
Coordinate-based neural representations for computational adaptive optics in widefield microscopy. CoRR abs/2307.03812 (2023)
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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 abs/2309.06745 (2023)
[i64]
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Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu:
Learning to Transform for Generalizable Instance-wise Invariance. CoRR abs/2309.16672 (2023)
[i63]
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Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu:
How to guess a gradient. CoRR abs/2312.04709 (2023)
[i62]
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Fei Pan, Sangryul Jeon, Brian Wang, Frank McKenna, Stella X. Yu:
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models. CoRR abs/2312.12479 (2023)
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Chun-Hsiao Yeh, Xudong Wang, Stella X. Yu, Charles Hill, Zackery Steck, Scott Kangas, Aaron A. Reite:
Debiased Learning for Remote Sensing Data. CoRR abs/2312.15393 (2023)
2022
[i60]
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Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. CoRR abs/2201.01490 (2022)
[i59]
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  - journals/corr/abs-2204-11432
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Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu:
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. CoRR abs/2204.11432 (2022)
[i58]
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  - journals/corr/abs-2208-08349
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Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Open Long-Tailed Recognition in a Dynamic World. CoRR abs/2208.08349 (2022)
[i57]
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  - journals/corr/abs-2209-02834
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Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou:
Unsupervised Scene Sketch to Photo Synthesis. CoRR abs/2209.02834 (2022)
[i56]
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Tsung-Wei Ke, Stella X. Yu:
CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. CoRR abs/2210.00314 (2022)
[i55]
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  - journals/corr/abs-2211-11797
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Utkarsh Singhal, Stella X. Yu, Zackery Steck, Scott Kangas, Aaron A. Reite:
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models. CoRR abs/2211.11797 (2022)
[i54]
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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 abs/2212.03450 (2022)
[i53]
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Long Lian, Zhirong Wu, Stella X. Yu:
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. CoRR abs/2212.08816 (2022)
[i52]
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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 abs/2212.10817 (2022)
2021
[i51]
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  - journals/corr/abs-2103-04003
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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 abs/2103.04003 (2021)
[i50]
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Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Visual Attention and Invariance for Reinforcement Learning. CoRR abs/2104.02921 (2021)
[i49]
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Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu:
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. CoRR abs/2105.00957 (2021)
[i48]
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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 abs/2105.02320 (2021)
[i47]
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Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren:
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. CoRR abs/2105.09279 (2021)
[i46]
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  - journals/corr/abs-2107-07110
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Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun:
Recurrent Parameter Generators. CoRR abs/2107.07110 (2021)
[i45]
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Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Free Hyperbolic Neural Networks with Limited Radii. CoRR abs/2107.11472 (2021)
[i44]
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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 abs/2108.12460 (2021)
[i43]
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Xudong Wang, Long Lian, Stella X. Yu:
Data-Centric Semi-Supervised Learning. CoRR abs/2110.03006 (2021)
[i42]
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  - journals/corr/abs-2111-06394
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Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin:
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos. CoRR abs/2111.06394 (2021)
[i41]
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Yunhui Guo, Haoran Guo, Stella X. Yu:
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CoRR abs/2111.15037 (2021)
[i40]
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Utkarsh Singhal, Yifei Xing, Stella X. Yu:
Co-domain Symmetry for Complex-Valued Deep Learning. CoRR abs/2112.01525 (2021)
2020
[i39]
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  - journals/corr/abs-2006-07995
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Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu:
BatVision with GCC-PHAT Features for Better Sound to Vision Predictions. CoRR abs/2006.07995 (2020)
[i38]
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  - journals/corr/abs-2006-09694
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Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu:
3D Shape Reconstruction from Free-Hand Sketches. CoRR abs/2006.09694 (2020)
[i37]
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Yifei Xing, Rudrasis Chakraborty, Minxuan Duan, Stella X. Yu:
C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. CoRR abs/2006.12590 (2020)
[i36]
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  - journals/corr/abs-2008-03813
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Xudong Wang, Ziwei Liu, Stella X. Yu:
Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups. CoRR abs/2008.03813 (2020)
[i35]
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  - journals/corr/abs-2009-12021
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Xudong Wang, Stella X. Yu:
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. CoRR abs/2009.12021 (2020)
[i34]
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Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu:
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. CoRR abs/2010.01809 (2020)
[i33]
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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 abs/2010.11993 (2020)
2019
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  - journals/corr/abs-1904-05160
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Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Large-Scale Long-Tailed Recognition in an Open World. CoRR abs/1904.05160 (2019)
[i31]
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  - journals/corr/abs-1906-10048
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Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu:
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning. CoRR abs/1906.10048 (2019)
[i30]
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Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu:
Spatial Transformer for 3D Points. CoRR abs/1906.10887 (2019)
[i29]
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Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong:
Compound Domain Adaptation in an Open World. CoRR abs/1909.03403 (2019)
[i28]
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Runtao Liu, Qian Yu, Stella X. Yu:
An Unpaired Sketch-to-Photo Translation Model. CoRR abs/1909.08313 (2019)
[i27]
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  - journals/corr/abs-1910-06391
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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 abs/1910.06391 (2019)
[i26]
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  - journals/corr/abs-1910-06962
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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 abs/1910.06962 (2019)
[i25]
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  - journals/corr/abs-1910-11334
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Rudrasis Chakraborty, Yifei Xing, Stella X. Yu:
Surreal: Complex-Valued Deep Learning as Principled Transformations on a Rotational Lie Group. CoRR abs/1910.11334 (2019)
[i24]
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  - journals/corr/abs-1910-13050
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Liu Yang, Rudrasis Chakraborty, Stella X. Yu:
POIRot: A rotation invariant omni-directional pointnet. CoRR abs/1910.13050 (2019)
[i23]
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  - journals/corr/abs-1911-12207
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Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. CoRR abs/1911.12207 (2019)
[i22]
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  - journals/corr/abs-1912-07011
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Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu:
BatVision: Learning to See 3D Spatial Layout with Two Ears. CoRR abs/1912.07011 (2019)
2018
[i21]
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  - journals/corr/abs-1803-10335
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Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu:
Adaptive Affinity Field for Semantic Segmentation. CoRR abs/1803.10335 (2018)
[i20]
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  - journals/corr/abs-1804-00064
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Jyh-Jing Hwang, Sergei Azernikov, Alexei A. Efros, Stella X. Yu:
Learning Beyond Human Expertise with Generative Models for Dental Restorations. CoRR abs/1804.00064 (2018)
[i19]
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  - journals/corr/abs-1805-01978
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Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin:
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. CoRR abs/1805.01978 (2018)
[i18]
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Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu:
Adversarial Structure Matching Loss for Image Segmentation. CoRR abs/1805.07457 (2018)
[i17]
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Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan, Seyed Ali Amirshahi, Stella X. Yu:
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability. CoRR abs/1806.07376 (2018)
[i16]
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  - journals/corr/abs-1808-04699
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Zhirong Wu, Alexei A. Efros, Stella X. Yu:
Improving Generalization via Scalable Neighborhood Component Analysis. CoRR abs/1808.04699 (2018)
2017
[i15]
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  - journals/corr/VirtueYL17
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Patrick Virtue, Stella X. Yu, Michael Lustig:
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting. CoRR abs/1707.00070 (2017)
[i14]
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Sascha Hornauer, Karl Zipser, Stella X. Yu:
Measuring Unsupervised-Supervised Real-Life Training of an Autonomous Model Car. CoRR abs/1709.10512 (2017)
[i13]
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Jiayun Wang, Patrick Virtue, Stella X. Yu:
Joint Embedding and Classification for SAR Target Recognition. CoRR abs/1712.01511 (2017)
2016
[i12]
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Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi:
First Person Action-Object Detection with EgoNet. CoRR abs/1603.04908 (2016)
[i11]
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Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko:
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification. CoRR abs/1605.06695 (2016)
[i10]
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Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi:
Convolutional Random Walk Networks for Semantic Image Segmentation. CoRR abs/1605.07681 (2016)
[i9]
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Gedas Bertasius, Stella X. Yu, Jianbo Shi:
Exploiting Visual-Spatial First-Person Co-Occurrence for Action-Object Detection without Labels. CoRR abs/1611.05335 (2016)
[i8]
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Gedas Bertasius, Stella X. Yu, Hyun Soo Park, Jianbo Shi:
Am I a Baller? Basketball Skill Assessment using First-Person Cameras. CoRR abs/1611.05365 (2016)
[i7]
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Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Neural Multigrid. CoRR abs/1611.07661 (2016)
[i6]
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Jian Shi, Yue Dong, Hao Su, Stella X. Yu:
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories. CoRR abs/1612.08510 (2016)
2015
[i5]
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Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell:
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. CoRR abs/1511.06838 (2015)
[i4]
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  - journals/corr/PathakKYD15
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Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell:
Constrained Structured Regression with Convolutional Neural Networks. CoRR abs/1511.07497 (2015)
[i3]
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Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. CoRR abs/1512.02311 (2015)
[i2]
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  - journals/corr/MaireNY15
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Michael Maire, Takuya Narihira, Stella X. Yu:
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CoRR abs/1512.02767 (2015)
2014
[i1]
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Michael Maire, Stella X. Yu, Pietro Perona:
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. CoRR abs/1410.4521 (2014)

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