Zudi Lin - RankMe

34 papers A* 5A 1Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SynAnno: Interactive Guided Proofreading of Synaptic Annotations. IEEE Trans. Vis. Comput. Graph. Leander Lauenburg, Jakob Troidl, Adam Gohain, Zudi Lin, Hanspeter Pfister, Donglai Wei
2023	J	`jnl`	3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs. IEEE J. Biomed. Health Informatics Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei
2023	A*	`conf`	CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CVPR Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool
2023	J	`jnl`	Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation. IEEE Trans. Medical Imaging 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
2023	J	`jnl`	Domain-Scalable Unpaired Image Translation via Latent Space Anchoring. CoRR Siyu Huang, Jie An, Donglai Wei, Zudi Lin, Jiebo Luo, Hanspeter Pfister
2023	J	`jnl`	Domain-Scalable Unpaired Image Translation via Latent Space Anchoring. IEEE Trans. Pattern Anal. Mach. Intell. Siyu Huang, Jie An, Donglai Wei, Zudi Lin, Jiebo Luo, Hanspeter Pfister
2023	A	`conf`	Relaxing Contrastiveness in Multimodal Representation Learning. WACV Zudi Lin, Erhan Bas, Kunwar Yashraj Singh, Gurumurthy Swaminathan, Rahul Bhotika
2023	—	`conf`	Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. MICCAI (3) Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister
2023	J	`jnl`	Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. CoRR Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister
2022	J	`jnl`	CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool
2022	A*	`conf`	Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CVPR Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Zudi Lin, Hanspeter Pfister
2022	J	`jnl`	Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN. CoRR Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei
2022	—	`conf`	MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CVPR Workshops Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool
2022	J	`jnl`	MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CoRR Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool
2022	—	`conf`	NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 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
2022	J	`jnl`	Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister
2022	A*	`conf`	Texture-based Error Analysis for Image Super-Resolution. CVPR Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister
2022	A*	`conf`	YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset. CVPR 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
2021	—	`conf`	Asymmetric 3D Context Fusion for Universal Lesion Detection. MICCAI (5) Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni
2021	J	`jnl`	Asymmetric 3D Context Fusion for Universal Lesion Detection. CoRR Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni
2021	—	`conf`	AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 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
2021	J	`jnl`	AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR 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
2021	A*	`conf`	Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution. ICCV Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister
2021	—	`conf`	NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. MICCAI (1) 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
2021	J	`jnl`	NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. CoRR 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
2021	J	`jnl`	Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation. CoRR Anirudh Srinivasan Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister
2021	J	`jnl`	PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics. CoRR Zudi Lin, Donglai Wei, Jeff Lichtman, Hanspeter Pfister
2020	—	`conf`	A Topological Nomenclature for 3D Shape Analysis in Connectomics. CVPR Workshops Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, Hanspeter Pfister
2020	—	`conf`	MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. MICCAI (5) 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
2020	—	`conf`	Two Stream Active Query Suggestion for Active Learning in Connectomics. ECCV (18) 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
2019	J	`jnl`	A Topological Nomenclature for 3D Shape Analysis in Connectomics. CoRR Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff W. Lichtman, Hanspeter Pfister
2019	—	`conf`	FDive: Learning Relevance Models Using Pattern-based Similarity Measures. VAST Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch
2019	J	`jnl`	FDive: Learning Relevance Models using Pattern-based Similarity Measures. CoRR Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch
2019	J	`jnl`	White-Box Adversarial Defense via Self-Supervised Data Estimation. CoRR Zudi Lin, Hanspeter Pfister, Ziming Zhang