no code implementations • 1 Aug 2023 • Yajie Cui, Zhaoxiang Liu, Shiguo Lian
Anomaly detection without priors of the anomalies is challenging.
no code implementations • 25 Jun 2023 • Yanyang Wang, Zhaoxiang Liu, Shiguo Lian
In recent years, deep learning technology has been maturely applied in the field of object detection, and most algorithms tend to be supervised learning.
no code implementations • 24 Mar 2023 • Minjie Hua, Yibing Nan, Shiguo Lian
Person counting is considered as a fundamental task in video surveillance.
no code implementations • 13 Oct 2022 • Kohou Wang, Zhaoxiang Liu, Shiguo Lian
The first one is a coarse detection module with the human pose consisting of the whole hand, cigarette and head as target object.
no code implementations • 6 Oct 2022 • Xiang Wang, Kai Wang, Xiaohong Li, Shiguo Lian
To compensate for the imbalance of different kernel numbers and classify kernels with multiple flaws accurately, we propose a multi-stage workflow which is able to locate the kernels in the captured image and classify their properties.
no code implementations • 30 Sep 2022 • Zezhou Chen, Yajie Cui, Kaikai Zhao, Zhaoxiang Liu, Shiguo Lian
Human action recognition in computer vision has been widely studied in recent years.
2 code implementations • 26 Sep 2022 • Yajun Xu, Chuwen Huang, Yibing Nan, Shiguo Lian
After integration and annotation by various dimensions, a large-scale traffic accidents dataset named TAD is proposed in this work.
1 code implementation • 20 Sep 2022 • Huan Hu, Yajie Cui, Zhaoxiang Liu, Shiguo Lian
Deep learning has a wide range of applications in industrial scenario, but reducing false alarm (FA) remains a major difficulty.
no code implementations • 20 Jul 2022 • Jianfeng Huang, Chenyang Li, Yimin Lin, Shiguo Lian
After this, we use the Siamese-based network to compute the similarity of the generation image patch and original image patch.
no code implementations • 11 Jul 2022 • Kaikai Zhao, Yajie Cui, Zhaoxiang Liu, Shiguo Lian
Our rating network includes a segmentation network and a purity regression network, which respectively calculate the semantic segmentation heatmaps and purity results of the waste copper granules.
no code implementations • 2 May 2022 • Xiaohong Li, Xiang Wang, Kai Wang, Shiguo Lian
Generating synchronized and natural lip movement with speech is one of the most important tasks in creating realistic virtual characters.
no code implementations • 24 Apr 2022 • Yajie Cui, Zhaoxiang Liu, Shiguo Lian
In contrast, recent research shows that unsupervised learning has great potential in tackling the above disadvantages for visual industrial anomaly detection.
no code implementations • 24 Dec 2020 • Yimin Lin, Jianfeng Huang, Shiguo Lian
The visual localization network is composed of a feature extraction network and pose regression network.
no code implementations • 11 Sep 2019 • Zipeng Wang, Zhaoxiang Liu, Jianfeng Huang, Shiguo Lian, Yimin Lin
We present a novel framework to generate images of different age while preserving identity information, which is known as face aging.
no code implementations • 30 Aug 2019 • Minjie Hua, Yibing Nan, Shiguo Lian
This paper presents a novel obstacle avoidance system for road robots equipped with RGB-D sensor that captures scenes of its way forward.
no code implementations • 21 Aug 2019 • Zezhou Chen, Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shiguo Lian, Fuyuan Shi, Kai Wang
Based on the models' output, the synthesizer uses the Pixel2Pixel model to generate realistic facial images.
no code implementations • 20 Aug 2019 • Zipeng Wang, Zhaoxiang Liu, Zezhou Chen, Huan Hu, Shiguo Lian
This paper presents a novel framework to generate realistic face video of an anchor, who is reading certain news.
no code implementations • 19 Aug 2019 • Zhaoxiang Liu, Huan Hu, Zipeng Wang, Kai Wang, Jinqiang Bai, Shiguo Lian
This paper presents a generative adversarial learning-based human upper body video synthesis approach to generate an upper body video of target person that is consistent with the body motion, face expression, and pose of the person in source video.
no code implementations • 9 Aug 2019 • Yimin Lin, Kai Wang, Wanxin Yi, Shiguo Lian
In this paper, we propose a deep learning based assistive system to improve the environment perception experience of visually impaired (VI).
no code implementations • 1 Aug 2019 • Minjie Hua, Yibing Nan, Shiguo Lian
This paper presents a novel approach for predicting the falls of people in advance from monocular video.
no code implementations • 27 Jun 2019 • Liming Han, Yimin Lin, Guoguang Du, Shiguo Lian
This paper presents an self-supervised deep learning network for monocular visual inertial odometry (named DeepVIO).
1 code implementation • 16 May 2019 • Guoguang Du, Kai Wang, Shiguo Lian, Kaiyong Zhao
We conclude three key tasks during vision-based robotic grasping, which are object localization, object pose estimation and grasp estimation.
no code implementations • 6 May 2019 • Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shaohua Li, Shiguo Lian
We make the following contributions: first, we propose a meta attention-based aggregation scheme which adaptively and fine-grained weighs the feature along each feature dimension among all frames to form a compact and discriminative representation.
no code implementations • 5 May 2019 • Minjie Hua, Fuyuan Shi, Yibing Nan, Kai Wang, Hao Chen, Shiguo Lian
This paper presents a novel system that enables intelligent robots to exhibit realistic body gestures while communicating with humans.
no code implementations • 30 Apr 2019 • Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Dijun Liu
To help the blind people walk to the destination efficiently and safely in indoor environment, a novel wearable navigation device is presented in this paper.
no code implementations • 30 Apr 2019 • Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Dijun Liu
In addition, with the ground segmentation using a deep neural network, a novel navigation strategy is proposed to guide the robot to move around.
no code implementations • 30 Apr 2019 • Jinqiang Bai, Zhaoxiang Liu, Yimin Lin, Ye Li, Shiguo Lian, Dijun Liu
Based on the detected ground, the optimal walkable direction is computed and the user is then informed via converted beep sound.
no code implementations • 30 Apr 2019 • Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li, Shiguo Lian
Facial pose estimation has gained a lot of attentions in many practical applications, such as human-robot interaction, gaze estimation and driver monitoring.
no code implementations • 28 Apr 2019 • Kai Wang, Fuyuan Shi, Wenqi Wang, Yibing Nan, Shiguo Lian
This paper presents an improved scheme for the generation and adaption of synthetic images for the training of deep Convolutional Neural Networks(CNNs) to perform the object detection task in smart vending machines.
no code implementations • 26 Apr 2019 • Xiang Wang, Kai Wang, Shiguo Lian
The quality and size of training set have great impact on the results of deep learning-based face related tasks.
no code implementations • 25 Dec 2018 • Kai Wang, Yimin Lin, Luowei Wang, Liming Han, Minjie Hua, Xiang Wang, Shiguo Lian, Bill Huang
This paper presents a novel framework for simultaneously implementing localization and segmentation, which are two of the most important vision-based tasks for robotics.
no code implementations • 19 Dec 2018 • Yimin Lin, Zhaoxiang Liu, Jianfeng Huang, Chaopeng Wang, Guoguang Du, Jinqiang Bai, Shiguo Lian, Bill Huang
Although a wide variety of deep neural networks for robust Visual Odometry (VO) can be found in the literature, they are still unable to solve the drift problem in long-term robot navigation.