no code implementations • 25 Feb 2024 • Shaojie Zhang, Yinghui Wang, Peixuan Liu, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim. Atadjanov
Subsequently, an adaptive light gain factor is generated based on the low-frequency component, and an adaptive gradient gain factor is derived from the convolution results of the Laplacian operator in different regions of small intestinal villi images.
no code implementations • 22 Feb 2024 • Shaojie Zhang, Yinghui Wang, Jiaxing Ma, Wei Li, Jinlong Yang, Tao Yan, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim R. Atadjanov
In Visual SLAM, achieving accurate feature matching consumes a significant amount of time, severely impacting the real-time performance of the system.
no code implementations • 21 Feb 2024 • Shaojie Zhang, Yinghui Wang, Jiaxing Ma, Wei Li, Jinlong Yang, Tao Yan, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim R. Atadjanov
Feature matching is a fundamental and crucial process in visual SLAM, and precision has always been a challenging issue in feature matching.
no code implementations • 18 Feb 2024 • Shaojie Zhang, Yinghui Wang, Bin Nan, Wei Li, Jinlong Yang, Tao Yan, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim R. Atadjanov
To address the issue of increased triangulation uncertainty caused by selecting views with small camera baselines in Structure from Motion (SFM) view selection, this paper proposes a robust error-resistant view selection method.
no code implementations • 15 Feb 2024 • Shaojie Zhang, Yinghui Wang, Bin Nan, Wei Li, Jinlong Yang, Tao Yan, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim R. Atadjanov
To address the issue of feature descriptors being ineffective in representing grayscale feature information when images undergo high affine transformations, leading to a rapid decline in feature matching accuracy, this paper proposes a region feature descriptor based on simulating affine transformations using classification.
no code implementations • 11 Feb 2024 • Shaojie Zhang, Yinghui Wang, Peixuan Liu, Wei Li, Jinlong Yang, Tao Yan, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim R. Atadjanov
The images captured by Wireless Capsule Endoscopy (WCE) always exhibit specular reflections, and removing highlights while preserving the color and texture in the region remains a challenge.
no code implementations • 23 Dec 2023 • Shaojie Zhang, Jianqin Yin, Yonghao Dang
Furthermore, to explicitly exploit the latent data distributions, we employ the attentive features to contrastive learning, which models the cross-sequence semantic relations by pulling together the features from the positive pairs and pushing away the negative pairs.
2 code implementations • 30 Aug 2023 • Shaojie Zhang, Jianqin Yin, Yonghao Dang, Jiajun Fu
Graph convolution networks (GCNs) have achieved remarkable performance in skeleton-based action recognition.
no code implementations • 13 Mar 2023 • Jiajun Fu, Yonghao Dang, Ruoqi Yin, Shaojie Zhang, Feng Zhou, Wending Zhao, Jianqin Yin
This technical report describes our first-place solution to the pose estimation challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop.
no code implementations • 22 Jul 2022 • Yonghao Dang, Jianqin Yin, Shaojie Zhang, Jiping Liu, Yanzhu Hu
In this work, we propose a plug-and-play kinematics modeling module (KMM) to explicitly model temporal correlations between joints across different frames by calculating their temporal similarity.
1 code implementation • 8 Jul 2021 • Yonghao Dang, Jianqin Yin, Shaojie Zhang
Moreover, the JRE can infer invisible joints according to the relationship between joints, which is beneficial for the model to locate occluded joints.
4 code implementations • 26 Apr 2021 • Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, YaoWei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
To enhance the generalization ability of PanGu-$\alpha$, we collect 1. 1TB high-quality Chinese data from a wide range of domains to pretrain the model.
Ranked #1 on
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Cloze (multi-choices) (One-Shot)
+19