Search Results for author: Daochang Liu

Found 14 papers, 6 papers with code

Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V

no code implementations18 Mar 2024 Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu

Based on the observation that the accuracy of GPT-4V's image recognition varies significantly with the order of images within the collage prompt, our method further learns to optimize the arrangement of images for maximum recognition accuracy.

Navigate

Efficient Transfer Learning in Diffusion Models via Adversarial Noise

no code implementations23 Aug 2023 Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu

Diffusion Probabilistic Models (DPMs) have demonstrated substantial promise in image generation tasks but heavily rely on the availability of large amounts of training data.

Denoising Image Generation +1

Boosting Diffusion Models with an Adaptive Momentum Sampler

no code implementations23 Aug 2023 Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu

Our proposed sampler can be readily applied to a pre-trained diffusion model, utilizing momentum mechanisms and adaptive updating to smooth the reverse sampling process and ensure stable generation, resulting in outputs of enhanced quality.

Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection

no code implementations21 Feb 2023 Chuyang Zhou, Jiajun Huang, Daochang Liu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu

More specifically, knowledge distillation on both the spatial and frequency branches has degraded performance than distillation only on the spatial branch.

Knowledge Distillation Vocal Bursts Valence Prediction

Calibrating a Deep Neural Network with Its Predecessors

1 code implementation13 Feb 2023 Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu

However, early stopping, as a well-known technique to mitigate overfitting, fails to calibrate networks.

Private Image Generation With Dual-Purpose Auxiliary Classifier

no code implementations CVPR 2023 Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu

However, apart from this standard utility, we identify the "reversed utility" as another crucial aspect, which computes the accuracy on generated data of a classifier trained using real data, dubbed as real2gen accuracy (r2g%).

Image Generation Privacy Preserving

Towards Unified Surgical Skill Assessment

no code implementations CVPR 2021 Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

In this paper, a unified multi-path framework for automatic surgical skill assessment is proposed, which takes care of multiple composing aspects of surgical skills, including surgical tool usage, intraoperative event pattern, and other skill proxies.

Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion

1 code implementation27 Aug 2020 Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

In the experiments on the binary instrument segmentation task of the 2017 MICCAI EndoVis Robotic Instrument Segmentation Challenge dataset, the proposed method achieves 0. 71 IoU and 0. 81 Dice score without using a single manual annotation, which is promising to show the potential of unsupervised learning for surgical tool segmentation.

Feature Correlation Segmentation

Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field

no code implementations27 Aug 2020 Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li

Then an objective and automated framework based on neural network is proposed to predict surgical skills through the proxy of COF.

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