Search Results for author: Ao Li

Found 12 papers, 6 papers with code

Two-stream joint matching method based on contrastive learning for few-shot action recognition

no code implementations8 Jan 2024 Long Deng, Ziqiang Li, Bingxin Zhou, Zhongming Chen, Ao Li, Yongxin Ge

Although few-shot action recognition based on metric learning paradigm has achieved significant success, it fails to address the following issues: (1) inadequate action relation modeling and underutilization of multi-modal information; (2) challenges in handling video matching problems with different lengths and speeds, and video matching problems with misalignment of video sub-actions.

Contrastive Learning Few-Shot action recognition +2

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features

1 code implementation19 Oct 2023 Huayu Li, Ana S. Carreon-Rascon, Xiwen Chen, Geng Yuan, Ao Li

MTS-LOF leverages the strengths of contrastive learning and Masked Autoencoder (MAE) methods, offering a unique approach to representation learning for medical time series data.

Contrastive Learning Representation Learning +2

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion

no code implementations26 Sep 2023 Xinhang Wan, Jiyuan Liu, Ao Li, Xinwang Liu, En Zhu

Precisely, considering that data correlations play a vital role in clustering and prior knowledge ought to guide the clustering process of a new view, we develop a data buffer with fixed size to store filtered structural information and utilize it to guide the generation of a robust partition matrix via contrastive learning.

Clustering Contrastive Learning +1

Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution

1 code implementation ICCV 2023 Ao Li, Le Zhang, Yun Liu, Ce Zhu

Transformer-based methods have exhibited remarkable potential in single image super-resolution (SISR) by effectively extracting long-range dependencies.

Image Super-Resolution

Knowledge Distillation Under Ideal Joint Classifier Assumption

no code implementations19 Apr 2023 Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li

Within this context, softmax regression representation learning serves as a widely embraced approach, leveraging a pre-established teacher network to guide the learning process of a diminutive student network.

Domain Adaptation Knowledge Distillation +3

TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting

1 code implementation16 Jan 2023 Ping Chang, Huayu Li, Stuart F. Quan, Shuyang Lu, Shu-Fen Wung, Janet Roveda, Ao Li

The TDSTF model showed state-of-the-art performance in predicting vital signs in the ICU, outperforming other models' ability to predict distributions of vital signs and being more computationally efficient.

Time Series Time Series Forecasting

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

2 code implementations7 Nov 2022 Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He

While numerous solutions have been proposed for this problem in the past, they are usually not compatible with low-power mobile NPUs having many computational and memory constraints.

Image Super-Resolution

DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal

1 code implementation31 Jul 2022 Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li

Significance: This study is one of the first to extend the conditional diffusion-based generative model for ECG noise removal, and the DeScoD-ECG has the potential to be widely used in biomedical applications.

Deep Domain Adaptation for Pavement Crack Detection

no code implementations19 Nov 2021 Huijun Liu, Chunhua Yang, Ao Li, Sheng Huang, Xin Feng, Zhimin Ruan, Yongxin Ge

In this paper, we propose a Deep Domain Adaptation-based Crack Detection Network (DDACDN), which learns domain invariant features by taking advantage of the source domain knowledge to predict the multi-category crack location information in the target domain, where only image-level labels are available.

Domain Adaptation

Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs

no code implementations5 Aug 2020 Xiaozheng Jian, Jianqiu Lu, Zexi Yuan, Ao Li

We explore the use of GPU for accelerating large scale nearest neighbor search and we propose a fast vector-quantization-based exhaustive nearest neighbor search algorithm that can achieve high accuracy without any indexing construction specifically designed for cosine similarity.

Quantization

Spam Review Detection with Graph Convolutional Networks

3 code implementations22 Aug 2019 Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li

Furthermore, we deploy our system to process million-scale data daily at Xianyu.

Polarimetric Dense Monocular SLAM

no code implementations CVPR 2018 Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, Ping Tan

This paper presents a novel polarimetric dense monocular SLAM (PDMS) algorithm based on a polarization camera.

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