Daochang Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Image Generation

Diffusion Model

Weakly Supervised

Skill Assessment

Top Venues

Publications

Daochang Liu, Axel Hu, Mubarak Shah, Chang Xu
Surgical Triplet Recognition via Diffusion Model. CoRR (2024)
Chen Chen, Daochang Liu, Chang Xu
Towards Memorization-Free Diffusion Models. CoRR (2024)
Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu
Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR (2024)
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 (2023)
Zunzhi You, Daochang Liu, Chang Xu
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. CoRR (2023)
Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu
Efficient Transfer Learning in Diffusion Models via Adversarial Noise. CoRR (2023)
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
Calibrating a Deep Neural Network with Its Predecessors. IJCAI (2023)
Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu
Private Image Generation with Dual-Purpose Auxiliary Classifier. CVPR (2023)
AnhDung Dinh, Daochang Liu, Chang Xu
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML (2023)
Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu
Contrastive Sampling Chains in Diffusion Models. NeurIPS (2023)
Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
Boosting Diffusion Models with an Adaptive Momentum Sampler. CoRR (2023)
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 Kirtac, 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 (2023)
Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
Diffusion Action Segmentation. CoRR (2023)
Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu
Personalized Image Generation for Color Vision Deficiency Population. ICCV (2023)
Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. NeurIPS (2023)
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
Calibrating a Deep Neural Network with Its Predecessors. CoRR (2023)
Anh-Dung Dinh, Daochang Liu, Chang Xu
Rethinking Conditional Diffusion Sampling with Progressive Guidance. NeurIPS (2023)
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) (2023)
Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
Diffusion Action Segmentation. ICCV (2023)
Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu
Contrastive Code-Comment Pre-training. ICDM (2022)
Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu
Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution. CoRR (2022)
Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
Towards Unified Surgical Skill Assessment. CVPR (2021)
Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
Towards Unified Surgical Skill Assessment. CoRR (2021)
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) (2020)
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 (2020)
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)
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 (2020)
Daochang Liu, Tingting Jiang, Yizhou Wang
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization. CVPR (2019)
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)
Daochang Liu, Tingting Jiang
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. CoRR (2018)
Daochang Liu, Tingting Jiang
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. MICCAI (4) (2018)