no code implementations • 13 Dec 2023 • Yixiong Chen
To overcome this limitation, we introduce a novel image classification framework that leverages variational quantum algorithms (VQAs)-hybrid approaches combining quantum and classical computing paradigms within quantum machine learning.
1 code implementation • 15 Jun 2023 • Xiaoshi Wu, Yiming Hao, Keqiang Sun, Yixiong Chen, Feng Zhu, Rui Zhao, Hongsheng Li
By fine-tuning CLIP on HPD v2, we obtain Human Preference Score v2 (HPS v2), a scoring model that can more accurately predict human preferences on generated images.
1 code implementation • 18 May 2023 • Yixiong Chen, Li Liu, Chris Ding
This paper introduces a novel explainable image quality evaluation approach called X-IQE, which leverages visual large language models (LLMs) to evaluate text-to-image generation methods by generating textual explanations.
1 code implementation • CVPR 2023 • Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan Yuille, Zongwei Zhou
We demonstrate that AI models can accurately segment liver tumors without the need for manual annotation by using synthetic tumors in CT scans.
Ranked #1 on Tumor Segmentation on LiTS17
1 code implementation • 8 Dec 2022 • Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu
In this work, we pre-train DNNs on ultrasound (US) domains instead of ImageNet to reduce the domain gap in medical US applications.
no code implementations • 1 Dec 2022 • Yixiong Chen, Jingxian Li, Chris Ding, Li Liu
Deep transfer learning (DTL) has formed a long-term quest toward enabling deep neural networks (DNNs) to reuse historical experiences as efficiently as humans.
1 code implementation • 26 Oct 2022 • Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jie-Neng Chen, Alan Yuille, Zongwei Zhou
We develop a novel strategy to generate synthetic tumors.
1 code implementation • 10 Oct 2022 • Chunhui Zhang, Yixiong Chen, Li Liu, Qiong Liu, Xi Zhou
This work proposes a hierarchical contrastive learning (HiCo) method to improve the transferability for the US video model pretraining.
1 code implementation • 3 Jun 2022 • Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou
In this work, we propose a meta-learning-based LR tuner, named MetaLR, to make different layers automatically co-adapt to downstream tasks based on their transferabilities across domains.
no code implementations • 29 Oct 2021 • Yixiong Chen
In recent years, with rapid progress in the development of quantum technologies, quantum machine learning has attracted a lot of interest.
1 code implementation • 25 Nov 2020 • Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan
To alleviate this problem, an US dataset named US-4 is constructed for direct pretraining on the same domain.
no code implementations • 9 Mar 2020 • Fangbin Wan, Yang Wu, Xuelin Qian, Yixiong Chen, Yanwei Fu
We find that changing clothes makes ReID a much harder problem in the sense of bringing difficulties to learning effective representations and also challenges the generalization ability of previous ReID models to identify persons with unseen (new) clothes.
4 code implementations • 11 Jun 2019 • Yitian Chen, Yanfei Kang, Yixiong Chen, Zizhuo Wang
We present a probabilistic forecasting framework based on convolutional neural network for multiple related time series forecasting.
Multivariate Time Series Forecasting Probabilistic Time Series Forecasting +2