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2020 – today
- 2023
[i61]Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra:
Cut and Learn for Unsupervised Object Detection and Instance Segmentation. CoRR abs/2301.11320 (2023)- 2022
- [j9]Jiayun Wang
, Rudrasis Chakraborty, Stella X. Yu:
Transformer for 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4419-4431 (2022) - [j8]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]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) - [c82]Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR 2022: 1-10 - [c81]Yunhui Guo, Haoran Guo, Stella X. Yu:
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CVPR 2022: 11-20 - [c80]Utkarsh Singhal, Yifei Xing, Stella X. Yu:
Co-domain Symmetry for Complex-Valued Deep Learning. CVPR 2022: 671-680 - [c79]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 - [c78]Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels. CVPR 2022: 14627-14637 - [c77]Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Selective Labeling for More Effective Semi-supervised Learning. ECCV (30) 2022: 427-445 - [c76]Utkarsh Singhal, Stella X. Yu:
Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing. IJCNN 2022: 1-8 - [i60]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]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]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]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]Tsung-Wei Ke, Stella X. Yu:
CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. CoRR abs/2210.00314 (2022) - [i55]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]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]Long Lian, Zhirong Wu, Stella X. Yu:
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. CoRR abs/2212.08816 (2022) - [i52]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
- [j6]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) - [c75]Xudong Wang, Stella X. Yu:
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. AAAI 2021: 10227-10235 - [c74]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]Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Visual Attention and Invariance for Reinforcement Learning. CVPR 2021: 6677-6687 - [c72]Xudong Wang, Ziwei Liu, Stella X. Yu:
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. CVPR 2021: 12586-12595 - [c71]Zhihang Ren, Stella X. Yu, David Whitney:
Controllable Medical Image Generation via Generative Adversarial Networks. HVEI 2021 - [c70]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]Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu:
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. ICLR 2021 - [c68]Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu:
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. ICLR 2021 - [c67]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]Jyh-Jing Hwang, Tsung-Wei Ke, Stella X. Yu:
Contextual Image Parsing via Panoptic Segment Sorting. MULL @ ACM Multimedia 2021: 27-36 - [c65]Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin:
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. NeurIPS 2021: 13137-13152 - [i51]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]Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Visual Attention and Invariance for Reinforcement Learning. CoRR abs/2104.02921 (2021) - [i49]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]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]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]Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun:
Recurrent Parameter Generators. CoRR abs/2107.07110 (2021) - [i45]Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Free Hyperbolic Neural Networks with Limited Radii. CoRR abs/2107.11472 (2021) - [i44]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]Xudong Wang, Long Lian, Stella X. Yu:
Data-Centric Semi-Supervised Learning. CoRR abs/2110.03006 (2021) - [i42]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]Yunhui Guo, Haoran Guo, Stella X. Yu:
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. CoRR abs/2111.15037 (2021) - [i40]Utkarsh Singhal, Yifei Xing, Stella X. Yu:
Co-domain Symmetry for Complex-Valued Deep Learning. CoRR abs/2112.01525 (2021) - 2020
- [c64]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]Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. CVPR 2020: 11502-11512 - [c62]Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong:
Open Compound Domain Adaptation. CVPR 2020: 12403-12412 - [c61]Runtao Liu, Qian Yu, Stella X. Yu:
Unsupervised Sketch to Photo Synthesis. ECCV (3) 2020: 36-52 - [c60]Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu:
BatVision: Learning to See 3D Spatial Layout with Two Ears. ICRA 2020: 1581-1587 - [c59]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 - [i39]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]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]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]Xudong Wang, Ziwei Liu, Stella X. Yu:
Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups. CoRR abs/2008.03813 (2020) - [i35]Xudong Wang, Stella X. Yu:
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. CoRR abs/2009.12021 (2020) - [i34]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]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)
2010 – 2019
- 2019
- [c58]Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu:
Visual Similarity from Optimizing Feature and Memory On A Hypersphere. CVPR Workshops 2019: 13-16 - [c57]Sascha Hornauer, Baladitya Yellapragada, Arian Ranjbar, Stella X. Yu:
Driving Scene Retrieval by Example from Large-Scale Data. CVPR Workshops 2019: 25-28 - [c56]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]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]Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu:
Adversarial Structure Matching for Structured Prediction Tasks. CVPR 2019: 4056-4065 - [c53]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 - [i32]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]Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu:
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning. CoRR abs/1906.10048 (2019) - [i30]Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu:
Spatial Transformer for 3D Points. CoRR abs/1906.10887 (2019) - [i29]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]Runtao Liu, Qian Yu, Stella X. Yu:
An Unpaired Sketch-to-Photo Translation Model. CoRR abs/1909.08313 (2019) - [i27]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]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]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]Liu Yang, Rudrasis Chakraborty, Stella X. Yu:
POIRot: A rotation invariant omni-directional pointnet. CoRR abs/1910.13050 (2019) - [i23]Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. CoRR abs/1911.12207 (2019) - [i22]Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu:
BatVision: Learning to See 3D Spatial Layout with Two Ears. CoRR abs/1912.07011 (2019) - 2018
- [c52]Seyed Ali Amirshahi, Stella X. Yu:
CNN Feature Similarity: Paintings Are More Self-Similar at All Levels. CVCS 2018: 1-6 - [c51]Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin:
Unsupervised Feature Learning via Non-Parametric Instance Discrimination. CVPR 2018: 3733-3742 - [c50]Baladitya Yellapragada, Alexander Anderson, Stella X. Yu, Karl Zipser:
Motion Selectivity of Neurons in Self-driving Networks. ECCV Workshops (5) 2018: 535-541 - [c49]Sascha Hornauer, Karl Zipser, Stella X. Yu:
Imitation Learning of Path-Planned Driving Using Disparity-Depth Images. ECCV Workshops (5) 2018: 542-548 - [c48]Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu:
Adaptive Affinity Fields for Semantic Segmentation. ECCV (1) 2018: 605-621 - [c47]Zhirong Wu, Alexei A. Efros, Stella X. Yu:
Improving Generalization via Scalable Neighborhood Component Analysis. ECCV (7) 2018: 712-728 - [i21]Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu:
Adaptive Affinity Field for Semantic Segmentation. CoRR abs/1803.10335 (2018) - [i20]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]Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin:
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. CoRR abs/1805.01978 (2018) - [i18]Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu:
Adversarial Structure Matching Loss for Image Segmentation. CoRR abs/1805.07457 (2018) - [i17]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]Zhirong Wu, Alexei A. Efros, Stella X. Yu:
Improving Generalization via Scalable Neighborhood Component Analysis. CoRR abs/1808.04699 (2018) - 2017
- [c46]Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Multigrid Neural Architectures. CVPR 2017: 4067-4075 - [c45]Jian Shi, Yue Dong, Hao Su, Stella X. Yu:
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories. CVPR 2017: 5844-5853 - [c44]Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi:
Convolutional Random Walk Networks for Semantic Image Segmentation. CVPR 2017: 6137-6145 - [c43]Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi:
Unsupervised Learning of Important Objects from First-Person Videos. ICCV 2017: 1974-1982 - [c42]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]Baochen Sun, Xingchao Peng, Stella X. Yu, Kate Saenko:
Ground2sky label transfer for fine-grained aerial car recognition. ICIP 2017: 360-364 - [c40]Tsung-Wei Ke, Stella X. Yu, David Whitney:
Mooney face classification and prediction by learning across tone. ICIP 2017: 2025-2029 - [c39]Patrick Virtue, Stella X. Yu, Michael Lustig:
Better than real: Complex-valued neural nets for MRI fingerprinting. ICIP 2017: 3953-3957 - [c38]Seyed Ali Amirshahi, Marius Pedersen, Stella X. Yu:
Image Quality Assessment by Comparing CNN Features between Images. IQSP 2017: 42-51 - [c37]Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi:
First-Person Action-Object Detection with EgoNet. Robotics: Science and Systems 2017 - [i15]Patrick Virtue, Stella X. Yu, Michael Lustig:
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting. CoRR abs/1707.00070 (2017) - [i14]Sascha Hornauer, Karl Zipser, Stella X. Yu:
Measuring Unsupervised-Supervised Real-Life Training of an Autonomous Model Car. CoRR abs/1709.10512 (2017) - [i13]Jiayun Wang, Patrick Virtue, Stella X. Yu:
Joint Embedding and Classification for SAR Target Recognition. CoRR abs/1712.01511 (2017) - 2016
- [c36]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]Michael Maire, Takuya Narihira, Stella X. Yu:
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CVPR 2016: 174-182 - [c34]Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko:
Fine-to-coarse knowledge transfer for low-res image classification. ICIP 2016: 3683-3687 - [i12]Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi:
First Person Action-Object Detection with EgoNet. CoRR abs/1603.04908 (2016) - [i11]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]Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi:
Convolutional Random Walk Networks for Semantic Image Segmentation. CoRR abs/1605.07681 (2016) - [i9]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]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]Tsung-Wei Ke, Michael Maire, Stella X. Yu:
Neural Multigrid. CoRR abs/1611.07661 (2016) - [i6]Jian Shi, Yue Dong, Hao Su, Stella X. Yu:
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories. CoRR abs/1612.08510 (2016) - 2015
- [c33]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]Takuya Narihira, Michael Maire, Stella X. Yu:
Learning lightness from human judgement on relative reflectance. CVPR 2015: 2965-2973 - [c31]Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. ICCV 2015: 2992 - [i5]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]Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell:
Constrained Structured Regression with Convolutional Neural Networks. CoRR abs/1511.07497 (2015) - [i3]Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. CoRR abs/1512.02311 (2015) - [i2]Michael Maire, Takuya Narihira, Stella X. Yu:
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CoRR abs/1512.02767 (2015) - 2014
- [c30]Michael Maire, Stella X. Yu, Pietro Perona:
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. ACCV (4) 2014: 273-287 - [i1]Michael Maire, Stella X. Yu, Pietro Perona:
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. CoRR abs/1410.4521 (2014) - 2013
- [c29]Michael Maire, Stella X. Yu, Pietro Perona:
Hierarchical Scene Annotation. BMVC 2013 - [c28]