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2020 – today
- 2023
[j3]Siyu Huang
, Jie An, Donglai Wei, Zudi Lin, Jiebo Luo, Hanspeter Pfister:
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11707-11719 (2023)- [j2]Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei:
3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs. IEEE J. Biomed. Health Informatics 27(8): 4018-4027 (2023) - [j1]Daniel Franco-Barranco, Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin, Yutian Fan, Mingxing Li, Chang Chen, Zhiwei Xiong, Rui Xin, Hao Liu, Huai Chen, Zhili Li, Jie Zhao, Xuejin Chen, Constantin Pape, Ryan Conrad, Luke Nightingale, Joost de Folter, Martin L. Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei:
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation. IEEE Trans. Medical Imaging 42(12): 3956-3971 (2023) - [c16]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CVPR 2023: 5906-5916 - [c15]Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister:
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. MICCAI (3) 2023: 529-539 - [c14]Zudi Lin, Erhan Bas, Kunwar Yashraj Singh, Gurumurthy Swaminathan, Rahul Bhotika:
Relaxing Contrastiveness in Multimodal Representation Learning. WACV 2023: 2226-2235 - [i14]Siyu Huang, Jie An, Donglai Wei, Zudi Lin, Jiebo Luo, Hanspeter Pfister:
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring. CoRR abs/2306.14879 (2023) - [i13]Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister:
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. CoRR abs/2310.05262 (2023) - 2022
- [c13]Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CVPR Workshops 2022: 744-754 - [c12]Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880 - [c11]Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister:
Texture-based Error Analysis for Image Super-Resolution. CVPR 2022: 2108-2117 - [c10]Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Zudi Lin, Hanspeter Pfister:
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CVPR 2022: 5687-5697 - [c9]Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Ritik Mathur, Abhijay Kemkar, Anirudh Srinivasan Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip H. S. Torr, Hanspeter Pfister:
YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset. CVPR 2022: 21012-21021 - [d1]Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei:
NucExM Dataset for Nuclei Segmentation in Expansion Microscopy. IEEE DataPort, 2022
- [i12]Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR abs/2201.11279 (2022) - [i11]Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei:
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN. CoRR abs/2204.03082 (2022) - [i10]Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CoRR abs/2204.07908 (2022) - [i9]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR abs/2211.14461 (2022) - 2021
- [c8]Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister:
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution. ICCV 2021: 4268-4277 - [c7]Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister:
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. MICCAI (1) 2021: 164-174 - [c6]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 2021: 175-185 - [c5]Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. MICCAI (5) 2021: 571-580 - [i8]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR abs/2107.05451 (2021) - [i7]Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister:
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. CoRR abs/2107.05840 (2021) - [i6]Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. CoRR abs/2109.08684 (2021) - [i5]Anirudh Srinivasan Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister:
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation. CoRR abs/2111.07529 (2021) - [i4]Zudi Lin, Donglai Wei, Jeff Lichtman, Hanspeter Pfister:
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics. CoRR abs/2112.05754 (2021) - 2020
- [c4]Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, Hanspeter Pfister:
A Topological Nomenclature for 3D Shape Analysis in Connectomics. CVPR Workshops 2020: 4245-4253 - [c3]Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa-Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister:
Two Stream Active Query Suggestion for Active Learning in Connectomics. ECCV (18) 2020: 103-120 - [c2]Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister:
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. MICCAI (5) 2020: 66-76
2010 – 2019
- 2019
- [c1]Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
FDive: Learning Relevance Models Using Pattern-based Similarity Measures. VAST 2019: 69-80 - [i3]Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
FDive: Learning Relevance Models using Pattern-based Similarity Measures. CoRR abs/1907.12489 (2019) - [i2]Zudi Lin, Hanspeter Pfister, Ziming Zhang:
White-Box Adversarial Defense via Self-Supervised Data Estimation. CoRR abs/1909.06271 (2019) - [i1]Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff W. Lichtman, Hanspeter Pfister:
A Topological Nomenclature for 3D Shape Analysis in Connectomics. CoRR abs/1909.12887 (2019)
Coauthor Index
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