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Zhenlin Xu
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2020 – today
- 2024
- [c17]Zhenlin Xu, Yi Zhu, Siqi Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo:
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. CVPR Workshops 2024: 1827-1836 - [c16]Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo:
Self-Supervised Multi-Object Tracking with Path Consistency. CVPR 2024: 19016-19026 - [i11]Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo:
Self-Supervised Multi-Object Tracking with Path Consistency. CoRR abs/2404.05136 (2024) - 2023
- [c15]Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo:
ScaleDet: A Scalable Multi-Dataset Object Detector. CVPR 2023: 7288-7297 - [c14]Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer:
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. ICCV 2023: 22233-22243 - [i10]Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo:
ScaleDet: A Scalable Multi-Dataset Object Detector. CoRR abs/2306.04849 (2023) - [i9]Zhenlin Xu, Yi Zhu, Tiffany Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo:
Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. CoRR abs/2306.16048 (2023) - 2022
- [b1]Zhenlin Xu:
Towards Deep Visual Learning in the Wild: Data-efficiency, Robustness and Generalization. University of North Carolina, Chapel Hill, USA, 2022 - [j2]Chao Huang
, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. Medical Image Anal. 77: 102343 (2022) - [c13]Qin Liu, Zhenlin Xu, Yining Jiao, Marc Niethammer:
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images. MICCAI (5) 2022: 464-474 - [c12]Zhenlin Xu, Marc Niethammer, Colin Raffel:
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. NeurIPS 2022 - [i8]Zhenlin Xu, Marc Niethammer, Colin Raffel:
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. CoRR abs/2210.00482 (2022) - [i7]Berk Iskender
Improving Dense Contrastive Learning with Dense Negative Pairs. CoRR abs/2210.05063 (2022) - [i6]Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer:
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. CoRR abs/2210.11006 (2022) - 2021
- [c11]Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer:
Robust and Generalizable Visual Representation Learning via Random Convolutions. ICLR 2021 - 2020
- [c10]Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer:
Adversarial Data Augmentation via Deformation Statistics. ECCV (29) 2020: 643-659 - [c9]Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer:
Anatomical Data Augmentation via Fluid-Based Image Registration. MICCAI (3) 2020: 318-328 - [c8]Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. MLMI@MICCAI 2020: 342-352 - [i5]Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer:
Anatomical Data Augmentation via Fluid-based Image Registration. CoRR abs/2007.02447 (2020) - [i4]Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer:
Robust and Generalizable Visual Representation Learning via Random Convolutions. CoRR abs/2007.13003 (2020) - [i3]Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer:
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. CoRR abs/2008.07628 (2020)
2010 – 2019
- 2019
- [c7]Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer:
Networks for Joint Affine and Non-Parametric Image Registration. CVPR 2019: 4224-4233 - [c6]Zhenlin Xu, Marc Niethammer:
DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation. MICCAI (2) 2019: 420-429 - [i2]Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer:
Networks for Joint Affine and Non-parametric Image Registration. CoRR abs/1903.08811 (2019) - [i1]Zhenlin Xu, Marc Niethammer:
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation. CoRR abs/1904.08465 (2019) - 2018
- [j1]Young-Woon Cha
Towards Fully Mobile 3D Face, Body, and Environment Capture Using Only Head-worn Cameras. IEEE Trans. Vis. Comput. Graph. 24(11): 2993-3004 (2018) - [c5]Zhenlin Xu, Fangqu Xu, Wen Xu, Xiaohui Zou
How to Understand the Basic Graphic Analysis Method. ICCSIP (1) 2018: 124-131 - [c4]Wen Xu, Fangqu Xu, Xiaohui Zou
The Cognitive Features of Programming Language and Natural Language. IFIP TC12 ICIS 2018: 184-190 - [c3]Zhenlin Xu, Zhengyang Shen, Marc Niethammer:
Contextual Additive Networks to Efficiently Boost 3D Image Segmentations. DLMIA/ML-CDS@MICCAI 2018: 92-100
2000 – 2009
- 2002
- [c2]Zaiping Chen, Qiang Gao, Chao Dong, Hongjin Liu, Peng Zhang, Zhenlin Xu:
The Flux-Oriented Control of an Induction Machine Utilizing an Online Controller Parameter Adaptation Scheme. Australian Joint Conference on Artificial Intelligence 2002: 249-258 - [c1]Zaiping Chen, Jun Li, Youjun Yue, Qiang Gao, Hui Zhao, Zhenlin Xu:
A Neural Network Online Training Algorithm Based on Compound Gradient Vector. Australian Joint Conference on Artificial Intelligence 2002: 374-384
Coauthor Index
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