no code implementations • 1 Aug 2023 • Qinhua Duan, Wenchao Gu, Yujia Chen, Wenxin Mao, Zewen Tian, Hui Cao
With the advancements in large language model technology, it has showcased capabilities that come close to those of human beings across various tasks.
no code implementations • 17 Jul 2023 • Fei Xia, Kyungduk Kim, Yaniv Eliezer, Liam Shaughnessy, Sylvain Gigan, Hui Cao
Utilizing rapid optical information processing capabilities, our optical platforms could potentially offer more efficient and real-time processing solutions for a broad range of applications.
no code implementations • 26 Jan 2023 • Ya Wang, Liang Wang, Huawei Fan, Jun Ma, Hui Cao, Xingang Wang
It is revealed that the contents of the cluster are determined by the network symmetry and the breathing activities are due to the interplay between the neural network and the astrocyte.
no code implementations • 12 Dec 2022 • Weihong Ren, Denglu Wu, Hui Cao, Xi'ai Chen, Zhi Han, Honghai Liu
The recent trend in 2D multiple object tracking (MOT) is jointly solving detection and tracking, where object detection and appearance feature (or motion) are learned simultaneously.
no code implementations • 19 Oct 2022 • Hui Cao, Wenlong Zou, Yinkun Wang, Ting Song, Mengjun Liu
Deep learning security matters to autonomous driving system security, and then matters to personal safety, which is an issue that deserves attention and research. This paper provides an summary of the concepts, developments and recent research in deep learning security technologies in autonomous driving.
no code implementations • 16 Feb 2022 • Shiliang Zhang, Xuehui Ma, Hui Cao, Tengyuan Zhao, Yajie Yu, Zhuzhu Wang
To this end, we design a lightweight approach dedicating to privatizing image database as a whole and preserving the statistical semantics of the image database to an adjustable level, while making individual images' contribution to such statistics indistinguishable.
no code implementations • 14 Feb 2022 • Junjie Li, Hui Cao
Aiming at the problem that the traditional neural network model cannot adequately capture the underlying feature information of the data and cannot jointly extract key global features and deep local features, a dual-channel network model DC-EBAD based on the ERNIE pre-training model is proposed.
1 code implementation • 31 May 2021 • Siyu Zhang, Hui Cao, Yuqi Liu, Shen Cai, Yanting Zhang, Yuanzhan Li, Xiaoyu Chi
Using deep learning techniques to process 3D objects has achieved many successes.
no code implementations • 7 Apr 2021 • Md Imran Hossen, Yazhou Tu, Md Fazle Rabby, Md Nazmul Islam, Hui Cao, Xiali Hei
Previous work showed that reCAPTCHA v2's image challenges could be solved by automated programs armed with Deep Neural Network (DNN) image classifiers and vision APIs provided by off-the-shelf image recognition services.
1 code implementation • 9 Nov 2020 • Ji Luo, Hui Cao, Jie Wang, Siyu Zhang, Shen Cai
Voxel-based 3D object classification has been thoroughly studied in recent years.
1 code implementation • 25 Dec 2019 • Hui Cao, Haikuan Du, Siyu Zhang, Shen Cai
Unlike previous methods that use points, voxels, or multi-view images as inputs of deep neural network (DNN), the proposed method constructs a class of more representative features named infilling spheres from signed distance field (SDF).
no code implementations • 9 May 2019 • Kyungduk Kim, Stefan Bittner, Yongquan Zeng, Seng Fatt Liew, Qijie Wang, Hui Cao
We design and fabricate an on-chip laser source that produces a directional beam with low spatial coherence.
Optics