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2020 – today
- 2024
[c18]Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu:
Residual Learning in Diffusion Models. CVPR 2024: 7289-7299- [c17]Chen Chen, Daochang Liu, Chang Xu:
Towards Memorization-Free Diffusion Models. CVPR 2024: 8425-8434 - [c16]Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu:
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning. ICML 2024 - [c15]Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. IJCAI 2024: 1416-1424 - [i17]Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu:
Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR abs/2403.11468 (2024) - [i16]Chen Chen, Daochang Liu, Chang Xu:
Towards Memorization-Free Diffusion Models. CoRR abs/2404.00922 (2024) - [i15]Daochang Liu, Axel Hu, Mubarak Shah, Chang Xu:
Surgical Triplet Recognition via Diffusion Model. CoRR abs/2406.13210 (2024) - [i14]Anh-Dung Dinh, Daochang Liu, Chang Xu:
Compress Guidance in Conditional Diffusion Sampling. CoRR abs/2408.11194 (2024) - [i13]Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu:
Exploring Local Memorization in Diffusion Models via Bright Ending Attention. CoRR abs/2410.21665 (2024) - [i12]Chen Chen, Enhuai Liu, Daochang Liu, Mubarak Shah, Chang Xu:
Investigating Memorization in Video Diffusion Models. CoRR abs/2410.21669 (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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