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ORCIDYuanfeng Ji
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2020 – today
- 2024
[c11]Yuanfeng Ji, Chongjian Ge, Weikai Kong, Enze Xie, Zhengying Liu, Zhenguo Li, Ping Luo:
Large Language Models as Automated Aligners for benchmarking Vision-Language Models. ICLR 2024- [i15]Ying Chen, Guoan Wang, Yuanfeng Ji, Yanjun Li, Jin Ye, Tianbin Li, Bin Zhang, Nana Pei, Rongshan Yu, Yu Qiao, Junjun He:
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding. CoRR abs/2410.11761 (2024) - [i14]Chongjian Ge, Chenfeng Xu, Yuanfeng Ji, Chensheng Peng, Masayoshi Tomizuka, Ping Luo, Mingyu Ding, Varun Jampani, Wei Zhan:
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians. CoRR abs/2410.20723 (2024) - [i13]Liang Qiu, Wenhao Chi, Xiaohan Xing, Praveenbalaji Rajendran, Mingjie Li, Yuming Jiang, Oscar Pastor-Serrano, Sen Yang, Xiyue Wang, Yuanfeng Ji, Qiang Wen:
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy. CoRR abs/2411.02815 (2024) - [i12]Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma
, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He:
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI. CoRR abs/2411.14522 (2024) - [i11]Jin Ye, Ying Chen, Yanjun Li, Haoyu Wang, Zhongying Deng, Ziyan Huang, Yanzhou Su, Chenglong Ma, Yuanfeng Ji, Junjun He:
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation. CoRR abs/2411.14525 (2024) - 2023
- [j2]Di Lin, Dingguo Shen, Yuanfeng Ji, Siting Shen, Mingrui Xie, Wei Feng, Hui Huang:
TAGNet: Learning Configurable Context Pathways for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2475-2491 (2023) - [c10]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 2023: 8023-8031 - [c9]Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo:
DDP: Diffusion Model for Dense Visual Prediction. ICCV 2023: 21684-21695 - [i10]Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo:
DDP: Diffusion Model for Dense Visual Prediction. CoRR abs/2303.17559 (2023) - [i9]Yuanfeng Ji, Yatao Bian, Guoji Fu, Peilin Zhao, Ping Luo:
SyNDock: N Rigid Protein Docking via Learnable Group Synchronization. CoRR abs/2305.15156 (2023) - [i8]Yuanfeng Ji, Chongjian Ge, Weikai Kong, Enze Xie, Zhengying Liu, Zhengguo Li, Ping Luo:
Large Language Models as Automated Aligners for benchmarking Vision-Language Models. CoRR abs/2311.14580 (2023) - 2022
- [c8]Yuanfeng Ji, Haotian Bai, Chongjian Ge, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, Ping Luo:
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation. NeurIPS 2022 - [i7]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR abs/2201.09637 (2022) - [i6]Yuanfeng Ji, Haotian Bai, Jie Yang, Chongjian Ge, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, Ping Luo:
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation. CoRR abs/2206.08023 (2022) - 2021
- [c7]Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang:
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. MICCAI (5) 2021: 302-312 - [c6]Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Lingyun Wu, Shaoting Zhang, Ping Luo:
Multi-compound Transformer for Accurate Biomedical Image Segmentation. MICCAI (1) 2021: 326-336 - [i5]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i4]Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Lingyun Wu, Shaoting Zhang, Ping Luo:
Multi-Compound Transformer for Accurate Biomedical Image Segmentation. CoRR abs/2106.14385 (2021) - [i3]Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang:
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. CoRR abs/2107.03609 (2021) - 2020
- [j1]Di Lin, Ruimao Zhang, Yuanfeng Ji, Ping Li, Hui Huang:
SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images. IEEE Trans. Cybern. 50(3): 1120-1131 (2020) - [c5]Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo:
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. MICCAI (1) 2020: 346-356 - [c4]Dingguo Shen, Yuanfeng Ji, Ping Li, Yi Wang, Di Lin:
RANet: Region Attention Network for Semantic Segmentation. NeurIPS 2020 - [i2]Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo:
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. CoRR abs/2009.07501 (2020)
2010 – 2019
- 2019
- [c3]Di Lin, Dingguo Shen, Siting Shen, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation. CVPR 2019: 7490-7499 - [c2]Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin:
PRSNet: Part Relation and Selection Network for Bone Age Assessment. MICCAI (6) 2019: 413-421 - [i1]Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin:
PRSNet: Part Relation and Selection Network for Bone Age Assessment. CoRR abs/1909.05651 (2019) - 2018
- [c1]Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Multi-scale Context Intertwining for Semantic Segmentation. ECCV (3) 2018: 622-638
Coauthor Index
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