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Your search keyword '"Yao, Yuncong"' showing total 234 results
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234 results on '"Yao, Yuncong"'

4. SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud

Author

Li, Ziyu, Yao, Yuncong, Quan, Zhibin, Yang, Wankou, and Xie, Jin

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

LiDAR-based 3D object detection pushes forward an immense influence on autonomous vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected at the objects farther away from the sensor. This imbalanced density of point clouds degrades the detection accuracy but is generally neglected by previous works. To address the challenge, we propose a novel two-stage 3D object detection framework, named SIENet. Specifically, we design the Spatial Information Enhancement (SIE) module to predict the spatial shapes of the foreground points within proposals, and extract the structure information to learn the representative features for further box refinement. The predicted spatial shapes are complete and dense point sets, thus the extracted structure information contains more semantic representation. Besides, we design the Hybrid-Paradigm Region Proposal Network (HP-RPN) which includes multiple branches to learn discriminate features and generate accurate proposals for the SIE module. Extensive experiments on the KITTI 3D object detection benchmark show that our elaborately designed SIENet outperforms the state-of-the-art methods by a large margin.

Published
2021

10. Hierarchical Representations with Discriminative Meta-filters in Dual Path Network for Tracking

Author

Xie, Fei, Wang, Ning, Yao, Yuncong, Yang, Wankou, Zhang, Kaihua, Liu, Bo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor

Published
2020
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12. HortGenome Search Engine, a universal genomic search engine for horticultural crops

Author

Wang, Sen, primary, Wei, Shangxiao, additional, Deng, Yuling, additional, Wu, Shaoyuan, additional, Peng, Haixu, additional, Qing, You, additional, Zhai, Xuyang, additional, Zhou, Shijie, additional, Li, Jinrong, additional, Li, Hua, additional, Feng, Yijian, additional, Yi, Yating, additional, Li, Rui, additional, Zhang, Hui, additional, Wang, Yiding, additional, Zhang, Renlong, additional, Ning, Lu, additional, Yao, YunCong, additional, Fei, Zhangjun, additional, and Zheng, Yi, additional

Published
2024
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15. Nitrogen-rich animal and plant wastes as fertilizer improve the soil carbon/nitrogen ratio and plant branching and thickening of young walnut trees under deficit irrigation conditions

Author

Hu, Yujing, Zhang, Yanan, Liu, Jiawei, Chen, Xinhui, Zhang, Jie, and Yao, Yuncong

Subjects
Soil Science, Agronomy and Crop Science
Abstract

To investigate the physiological status of plant following the application of a mixture of organic residues, nitrogen-rich meat powder and alfalfa (Medicago sativa L.) powder mixed in different proportions as fertilizers were applied to the soil of a hilly area to cultivate young walnut trees under drought and wet soil conditions, respectively. The results showed that the nitrogen-rich fertilizer treatments could significantly increase the soil water content (SWC), soil organic matter (SOM), soil organic carbon (SOC), and soil organic nitrogen (SON), total nitrogen (TN), total phosphorus (TP), total potassium (TK), available nitrogen (AN), available P (AP), available K (AK), a high soil organic carbon/nitrogen ratio under soil drought conditions. Moreover, they also significantly improved the soil nutrients contents of Ca, Mg, Fe, Mn, Cu and Zn, especially Ca and Mg in dry soil. Consequently, this nutrient-rich soil greatly promoted the plant branching and thickening with a high net leaf photosynthesis rate (Pn), water use efficiency (WUE), a low transpiration (Tr) under soil drought conditions. We proposed that high soil carbon/nitrogen ratio improved by applying nitrogen-rich fertilizers might weaken top shoot growth and regulate the plant branching and thickening of young walnut trees under deficit irrigation conditions.

Published
2023

18. Adaptation via Proxy: Building Instance-Aware Proxy for Unsupervised Domain Adaptive 3D Object Detection

Author

Li, Ziyu, Yao, Yuncong, Quan, Zhibin, Qi, Lei, Feng, Zhen-Hua, and Yang, Wankou

Abstract

3D detection task plays a crucial role in the perception system of intelligent vehicles. LiDAR-based 3D detectors perform well on particular autonomous driving benchmarks, but may poorly generalize to other domains. Existing 3D domain adaptive detection methods usually require annotation-related statistics or continuous refinement of pseudo-labels. The former is not always feasible for practical applications, while the latter lacks sufficient accurate supervision. In this work, we propose a novel unsupervised domain adaptive framework, namely Adaptation Via Proxy (AVP), that explicitly leverages cross-domain relationships to generate adequate high-quality samples, thus mitigating domain shifts for existing LiDAR-based 3D detectors. Specifically, we first train the detector on source domain with the curriculum example mining (CEM) strategy to enhance its generalization capability. Then, we integrate the profitable instance knowledge from the source domain with the contextual information from the target domain, to construct the instance-aware proxy, which is a data collection with diverse training scenes and stronger supervision. Finally, we fine-tune the pre-trained detector on the proxy data for further optimizing the detector to overcome domain gaps. To build the instance-aware proxy, two components are proposed, i.e., the multi-view multi-scale aggregation (MMA) method for producing high-quality pseudo-labels, and the hybrid instance augmentation (HIA) technique for integrating the knowledge from source annotations to enhance supervision. Note that AVP is architecture-agnostic thus it can be easily injected with any LiDAR-based 3D detectors. Extensive experiments on Waymo, nuScenes, KITTI and Lyft demonstrate the superiority of the proposed method over the state-of-the-art approaches for different adaptation scenarios.

Published
2024
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31. MPK6‐mediated HY5 phosphorylation regulates light‐induced anthocyanin accumulation in apple fruit.

Author

Xing, Yifan, Sun, Wenjing, Sun, Yuying, Li, Jialin, Zhang, Jie, Wu, Ting, Song, Tingting, Yao, Yuncong, and Tian, Ji

Subjects
ANTHOCYANINS, LIQUID chromatography-mass spectrometry, MITOGEN-activated protein kinases, PLANT pigments, LEUCINE zippers, APPLES
Abstract

Summary: Light is known to regulate anthocyanin pigment biosynthesis in plants on several levels, but the significance of protein phosphorylation in light‐induced anthocyanin accumulation needs further investigation. In this study, we investigated the dynamics of the apple fruit phosphoproteome in response to light, using high‐performance liquid chromatography–tandem mass spectrometry analysis. Among the differentially phosphorylated proteins, the bZIP (basic leucine zipper) transcription factor, HY5, which has been identified as an anthocyanin regulator, was rapidly activated by light treatment of the fruit. We hypothesized that phosphorylated MdHY5 may play a role in light‐induced anthocyanin accumulation of apple fruit. Protein interaction and phosphorylation assays showed that mitogen‐activated protein kinase MdMPK6 directly interacted with, and activated, MdHY5 via phosphorylation under light conditions, thereby increasing its stability. Consistent with this finding, the suppression of the mitogen‐activated protein kinase genes MdMPK6 or MdHY5 resulted in an inhibition of anthocyanin accumulation, and further showed that light‐induced anthocyanin accumulation is dependent on MdMPK6 kinase activity, and is required for maximum MdHY5 activity. Under light conditions, active MdMPK6 phosphorylated MdHY5 leading to accumulation of phospho‐MdHY5, which enhanced the binding of MdHY5 to its target anthocyanin related genes in fruit. Our findings reveal an MdMPK6–MdHY5 phosphorylation pathway in light‐induced anthocyanin accumulation, providing new insights into the regulation of light‐induced anthocyanin biosynthesis in apple fruit at both the transcriptional and post‐translational levels. [ABSTRACT FROM AUTHOR]

Published
2023
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