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Daochang Liu
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2020 – today
- 2024
- [i14]Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu:
Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR abs/2403.11468 (2024) - [i13]Chen Chen, Daochang Liu, Chang Xu:
Towards Memorization-Free Diffusion Models. CoRR abs/2404.00922 (2024) - [i12]Daochang Liu, Axel Hu, Mubarak Shah, Chang Xu:
Surgical Triplet Recognition via Diffusion Model. CoRR abs/2406.13210 (2024) - 2023
- [j3]Martin Wagner
, Beat P. Müller-Stich, Anna Kisilenko
, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky
, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke
, Carissa Reid, Tong Yu, Armine Vardazaryan
, Chinedu Innocent Nwoye
, Nicolas Padoy
, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine
, Tong Xia, Fucang Jia, Satoshi Kondo
, Wolfgang Reiter
, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng
, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu
, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich
, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel
, Sebastian Bodenstedt:
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86: 102770 (2023) - [j2]Zhongwei Qiu
, Huan Yang
, Jianlong Fu
, Daochang Liu
, Chang Xu
, Dongmei Fu
:
Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14888-14904 (2023) - [c14]Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu:
Private Image Generation with Dual-Purpose Auxiliary Classifier. CVPR 2023: 20361-20370 - [c13]Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. ICCV 2023: 10105-10115 - [c12]Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu:
Personalized Image Generation for Color Vision Deficiency Population. ICCV 2023: 22514-22523 - [c11]AnhDung Dinh, Daochang Liu, Chang Xu:
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML 2023: 8120-8137 - [c10]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. IJCAI 2023: 4271-4279 - [c9]Anh-Dung Dinh, Daochang Liu, Chang Xu:
Rethinking Conditional Diffusion Sampling with Progressive Guidance. NeurIPS 2023 - [c8]Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. NeurIPS 2023 - [c7]Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu:
Contrastive Sampling Chains in Diffusion Models. NeurIPS 2023 - [i11]Zunzhi You, Daochang Liu
, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. CoRR abs/2302.01056 (2023) - [i10]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. CoRR abs/2302.06245 (2023) - [i9]Chuyang Zhou, Jiajun Huang, Daochang Liu
, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu:
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection. CoRR abs/2302.10437 (2023) - [i8]Daochang Liu
, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. CoRR abs/2303.17959 (2023) - [i7]Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. CoRR abs/2308.11941 (2023) - [i6]Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu:
Efficient Transfer Learning in Diffusion Models via Adversarial Noise. CoRR abs/2308.11948 (2023) - 2022
- [c6]Xiaohuan Pei, Daochang Liu
, Luo Qian, Chang Xu:
Contrastive Code-Comment Pre-training. ICDM 2022: 398-407 - [i5]Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu
, Chang Xu, Dongmei Fu:
Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution. CoRR abs/2212.14046 (2022) - 2021
- [c5]Daochang Liu
, Qiyue Li, Tingting Jiang
, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Towards Unified Surgical Skill Assessment. CVPR 2021: 9522-9531 - [i4]Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Towards Unified Surgical Skill Assessment. CoRR abs/2106.01035 (2021) - 2020
- [j1]Daochang Liu
, Tingting Jiang
, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Clearness of operating field: a surrogate for surgical skills on in vivo clinical data. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1817-1824 (2020) - [c4]Daochang Liu
, Yuhui Wei, Tingting Jiang
, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion. MICCAI (3) 2020: 657-667 - [i3]Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion. CoRR abs/2008.11946 (2020) - [i2]Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field. CoRR abs/2008.11954 (2020)
2010 – 2019
- 2019
- [c3]Daochang Liu
, Tingting Jiang
, Yizhou Wang:
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization. CVPR 2019: 1298-1307 - [c2]Daochang Liu
, Tingting Jiang
, Yizhou Wang, Rulin Miao, Fei Shan
, Ziyu Li:
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field. MICCAI (5) 2019: 476-484 - 2018
- [c1]Daochang Liu
, Tingting Jiang
:
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. MICCAI (4) 2018: 247-255 - [i1]Daochang Liu, Tingting Jiang:
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. CoRR abs/1806.08089 (2018)
Coauthor Index
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last updated on 2024-07-25 19:31 CEST by the dblp team
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