no code implementations • 7 Dec 2024 • Pengyu Li, Zhijie Zhong, Tong Zhang, Zhiwen Yu, C. L. Philip Chen, Kaixiang Yang
Time series anomaly detection (TSAD) has been a research hotspot in both academia and industry in recent years.
1 code implementation • 3 Dec 2024 • Weijie Kong, Qi Tian, Zijian Zhang, Rox Min, Zuozhuo Dai, Jin Zhou, Jiangfeng Xiong, Xin Li, Bo Wu, Jianwei Zhang, Kathrina Wu, Qin Lin, Junkun Yuan, Yanxin Long, Aladdin Wang, Andong Wang, Changlin Li, Duojun Huang, Fang Yang, Hao Tan, Hongmei Wang, Jacob Song, Jiawang Bai, Jianbing Wu, Jinbao Xue, Joey Wang, Kai Wang, Mengyang Liu, Pengyu Li, Shuai Li, Weiyan Wang, Wenqing Yu, Xinchi Deng, Yang Li, Yi Chen, Yutao Cui, Yuanbo Peng, Zhentao Yu, Zhiyu He, Zhiyong Xu, Zixiang Zhou, Zunnan Xu, Yangyu Tao, Qinglin Lu, Songtao Liu, Dax Zhou, Hongfa Wang, Yong Yang, Di Wang, Yuhong Liu, Jie Jiang, Caesar Zhong
In this report, we introduce HunyuanVideo, an innovative open-source video foundation model that demonstrates performance in video generation comparable to, or even surpassing, that of leading closed-source models.
no code implementations • 26 Aug 2024 • Pengyu Li, Chenhe Liu, Tengfei Li, Xinyu Wang, Shihui Zhang, Dongyang Yu
Motivated by these challenges, in this paper, we propose a novel object detection network named Efficient Multi-scale and Diverse Feature Network (EMDFNet) for traffic sign detection that integrates an Augmented Shortcut Module and an Efficient Hybrid Encoder to address the aforementioned issues simultaneously.
no code implementations • 12 Jul 2024 • Tianchu Guo, Pengyu Li, Biao Wang, Xiansheng Hua
It contains a customized branch, a pose condition branch and a structure alignment module.
1 code implementation • 19 Mar 2024 • Jiyi Chen, Pengyu Li, Yutong Wang, Pei-Cheng Ku, Qing Qu
This work proposes a deep learning (DL)-based framework, namely Sim2Real, for spectral signal reconstruction in reconstructive spectroscopy, focusing on efficient data sampling and fast inference time.
1 code implementation • 24 Oct 2023 • Pengyu Li, Xiao Li, Yutong Wang, Qing Qu
We study deep neural networks for the multi-label classification (MLab) task through the lens of neural collapse (NC).
1 code implementation • CVPR 2023 • Junjie He, Pengyu Li, Yifeng Geng, Xuansong Xie
In this paper, we show the strong potential of query-based models on efficient instance segmentation algorithm designs.
no code implementations • CVPR 2023 • Xiaolin Song, Binghui Chen, Pengyu Li, Jun-Yan He, Biao Wang, Yifeng Geng, Xuansong Xie, Honggang Zhang
End-to-end pedestrian detection focuses on training a pedestrian detection model via discarding the Non-Maximum Suppression (NMS) post-processing.
no code implementations • CVPR 2023 • Pengyu Li
To show our idea experimentally, we model the biological characteristics of the human face-recognizing system with classical Convolutional Neural Network Operators (CNN Ops) purposely.
no code implementations • 7 Dec 2022 • Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang, Di Huang
Along with the widespread use of face recognition systems, their vulnerability has become highlighted.
2 code implementations • 27 Oct 2022 • Chenyang Li, Zhi-Qi Cheng, Jun-Yan He, Pengyu Li, Bin Luo, Hanyuan Chen, Yifeng Geng, Jin-Peng Lan, Xuansong Xie
Streaming perception is a critical task in autonomous driving that requires balancing the latency and accuracy of the autopilot system.
1 code implementation • 20 Aug 2022 • HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
While uniform sampling has been widely studied in the matrix completion literature, CUR sampling approximates a low-rank matrix via row and column samples.
1 code implementation • CVPR 2022 • Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua
Semi-supervised object detection (SSOD) aims to facilitate the training and deployment of object detectors with the help of a large amount of unlabeled data.
no code implementations • 31 Jan 2022 • Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell
Classification and topic modeling are popular techniques in machine learning that extract information from large-scale datasets.
1 code implementation • ICCV 2021 • Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, WangMeng Zuo, Lei Zhang
In crowd counting, due to the problem of laborious labelling, it is perceived intractability of collecting a new large-scale dataset which has plentiful images with large diversity in density, scene, etc.
1 code implementation • CVPR 2021 • Pengyu Li, Biao Wang, Lei Zhang
This is because the classification paradigm needs to train a fully connected layer as the category classifier, and its parameters will be in the hundreds of millions if the training dataset contains millions of identities.
no code implementations • CVPR 2021 • Wenyu Li, Tianchu Guo, Pengyu Li, Binghui Chen, Biao Wang, WangMeng Zuo, Lei Zhang
In this paper, we propose a novel face recognition method, named VirFace, to effectively apply the unlabeled shallow data for face recognition.
no code implementations • 28 Apr 2021 • Ryan Budahazy, Lu Cheng, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Denali Molitor, Elizaveta Rebrova, Deanna Needell
The California Innocence Project (CIP), a clinical law school program aiming to free wrongfully convicted prisoners, evaluates thousands of mails containing new requests for assistance and corresponding case files.
no code implementations • EMNLP (NLP-COVID19) 2020 • Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko
A dataset of COVID-19-related scientific literature is compiled, combining the articles from several online libraries and selecting those with open access and full text available.
no code implementations • ACL 2019 • Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, LiFeng Wang, Xing Zhou
In this paper, we introduce NeuralClassifier, a toolkit for neural hierarchical multi-label text classification.
General Classification
Hierarchical Multi-label Classification
+5
no code implementations • 9 May 2017 • Liang Li, Pengyu Li, Yifan Liu, Tao Wan, Zengchang Qin
Under our learning policy, the Seq2Seq model can learn mappings gradually with noises.