1 code implementation • 1 Dec 2023 • Xiaoke Huang, JianFeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu
We propose a method to efficiently equip the Segment Anything Model (SAM) with the ability to generate regional captions.
1 code implementation • 5 Jul 2023 • Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
As AD impairs the patient's language understanding and expression ability, the speech of AD patients can serve as an indicator of this disease.
no code implementations • 3 Jun 2023 • Yiji Cheng, Fei Yin, Xiaoke Huang, Xintong Yu, Jiaxiang Liu, Shikun Feng, Yujiu Yang, Yansong Tang
These elaborated designs enable our model to generate portraits with robust multi-view semantic consistency, eliminating the need for optimization-based methods.
no code implementations • 24 May 2023 • Hong Wang, Su Yang, Xiaoke Huang, Weishan Zhang
Token filtering to reduce irrelevant tokens prior to self-attention is a straightforward way to enable efficient vision Transformer.
no code implementations • 23 Apr 2023 • Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, Xiang Li
We focus on analyzing the differences between medical texts written by human experts and generated by ChatGPT, and designing machine learning workflows to effectively detect and differentiate medical texts generated by ChatGPT.
1 code implementation • 23 Mar 2023 • Xiaoke Huang, Yiji Cheng, Yansong Tang, Xiu Li, Jie zhou, Jiwen Lu
Moreover, only minutes of optimization is enough for plausible reconstruction results.
no code implementations • 25 Feb 2023 • Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li
Text data augmentation is an effective strategy for overcoming the challenge of limited sample sizes in many natural language processing (NLP) tasks.
no code implementations • 21 Feb 2023 • Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Wei Liu, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai
The main challenge of FSL is the difficulty of training robust models on small amounts of samples, which frequently leads to overfitting.
no code implementations • 5 Nov 2022 • Hongmin Cai, Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li
In this framework, we apply distant-supervision on cross-domain knowledge graph adaptation.
1 code implementation • 6 Jun 2022 • Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie zhou, Jiwen Lu
In this paper, we propose to learn the rank concepts from the rich semantic CLIP latent space.
Ranked #1 on Few-shot Age Estimation on MORPH Album2
1 code implementation • CVPR 2021 • Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie zhou
An ordinal distribution constraint is proposed to exploit the ordinal nature of regression.
Ranked #2 on Age Estimation on Adience
Aesthetics Quality Assessment Age And Gender Classification +3