Search Results - "Peng, Junran"

Refine Results
  1. 1

    Context-aware co-supervision for accurate object detection by Peng, Junran, Wang, Haoquan, Yue, Shaolong, Zhang, Zhaoxiang

    Published in Pattern recognition (01-01-2022)
    “…•We advocate the importance of equipping two-stage detectors with top-down signals, in order to which provides high-level contextual cues to complement…”
    Get full text
    Journal Article
  2. 2

    Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection by Zhang, Zhaoxiang, Pan, Cong, Peng, Junran

    Published in International journal of computer vision (01-04-2022)
    “…Scale-sensitive object detection remains a challenging task, where most of the existing methods could not learn it explicitly and are not robust. Besides, they…”
    Get full text
    Journal Article
  3. 3

    Genome-wide sequencing as a first-tier screening test for short tandem repeat expansions by Rajan-Babu, Indhu-Shree, Peng, Junran J, Chiu, Readman, Li, Chenkai, Mohajeri, Arezoo, Dolzhenko, Egor, Eberle, Michael A, Birol, Inanc, Friedman, Jan M

    Published in Genome medicine (09-08-2021)
    “…Screening for short tandem repeat (STR) expansions in next-generation sequencing data can enable diagnosis, optimal clinical management/treatment, and accurate…”
    Get full text
    Journal Article
  4. 4

    Identifying single‐phase to ground fault based on line multi‐dimensional data in cyber‐physical distribution system by Chen, Qing, Yang, Shiwu, Li, Hongbin, Wen, Xue, Wang, Xinggang, Bao, Zhiwei, Peng, Junran

    “…Single‐phase to ground fault is the most common line fault in power distribution systems, which may result in an electrical fire and personal safety problems…”
    Get full text
    Journal Article
  5. 5

    Extremely low frequency‐based faulty line selection of low‐resistance grounding system by Chen, Qing, Peng, Junran, Li, Hongbin, Yang, Shiwu, Zhou, Lei, Pang, Dongxiao, Deng, Hu

    “…The single‐phase‐to‐ground faulty line selection methods based on the signals of the frequency above 10 Hz has a low discrimination of fault characteristic…”
    Get full text
    Journal Article
  6. 6

    A CRISPR-Cas and Tat Peptide with Fluorescent RNA Aptamer System for Signal Amplification in RNA Imaging by Tang, Heng, Peng, Junran, Jiang, Xin, Peng, Shuang, Wang, Fang, Weng, Xiaocheng, Zhou, Xiang

    Published in Biosensors (Basel) (18-02-2023)
    “…We reported on an efficient RNA imaging strategy based on a CRISPR-Cas and Tat peptide with a fluorescent RNA aptamer (TRAP-tag). Using modified CRISPR-Cas RNA…”
    Get full text
    Journal Article
  7. 7
  8. 8

    The design and rationale of the Advancing Cardiac Care Unit-based Rapid Assessment and Treatment of hypErcholesterolemia (ACCURATE) study by Peng, Junran J., Saleh, Navid, Roston, Thomas M., Kramer, Adam, Cermakova, Lubomira, Mancini, G.B. John, Fordyce, Christopher B., Brunham, Liam R.

    Published in American heart journal plus (01-01-2022)
    “…Familial hypercholesterolemia (FH) is an inherited condition characterized by elevated low-density lipoprotein cholesterol (LDL-C) levels and premature…”
    Get full text
    Journal Article
  9. 9
  10. 10

    Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation by Wang, Yuxi, Peng, Junran, Zhang, Zhaoxiang

    “…Unsupervised domain adaptation for semantic segmentation aims to assign the pixel-level labels for unlabeled target domain by transferring knowledge from the…”
    Get full text
    Conference Proceeding
  11. 11

    Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels by Pan, Cong, Peng, Junran, Bu, Xingyuan, Zhang, Zhaoxiang

    “…Training with more data has always been the most stable and effective way of improving performance in the deep learning era. The Open Images dataset, the…”
    Get full text
    Journal Article
  12. 12

    Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection by Pan, Cong, Peng, Junran, Zhang, Zhaoxiang

    Published in IEEE/CAA journal of automatica sinica (01-03-2024)
    “…Monocular 3D object detection is challenging due to the lack of accurate depth information. Some methods estimate the pixel-wise depth maps from off-the-shelf…”
    Get full text
    Journal Article
  13. 13

    Depth-Guided Vision Transformer With Normal-izing Flows for Monocular 3D Object Detection by Cong Pan, Junran Peng, Zhaoxiang Zhang

    Published in 自动化学报(英文版) (2024)
    “…Monocular 3D object detection is challenging due to the lack of accurate depth information.Some methods estimate the pixel-wise depth maps from off-the-shelf…”
    Get full text
    Journal Article
  14. 14

    GAIA: A Transfer Learning System of Object Detection that Fits Your Needs by Bu, Xingyuan, Peng, Junran, Yan, Junjie, Tan, Tieniu, Zhang, Zhaoxiang

    “…Transfer learning with pre-training on large-scale datasets has played an increasingly significant role in computer vision and natural language processing…”
    Get full text
    Conference Proceeding
  15. 15

    GAIA-Universe: Everything is Super-Netify by Peng, Junran, Chang, Qing, Yin, Haoran, Bu, Xingyuan, Sun, Jiajun, Xie, Lingxi, Zhang, Xiaopeng, Tian, Qi, Zhang, Zhaoxiang

    “…Pre-training on large-scale datasets has played an increasingly significant role in computer vision and natural language processing recently. However, as there…”
    Get full text
    Journal Article
  16. 16

    Design of Programmable DC Electronic Load by Junran Peng, Yuepeng Chen, Yang Fang, Shuran Jia

    “…Owning to the current or voltage can be artificially controlled, programmable DC electronic load plays an essential role in current and future power source…”
    Get full text
    Conference Proceeding
  17. 17

    Study of the short-term electric load forecast based on ANFIS by Junran Peng, Shengyu Gao, Anzi Ding

    “…Short-term electric load forecast is extremely important for the security management and cost control of the electric power industry, and thus it is of great…”
    Get full text
    Conference Proceeding
  18. 18

    Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels by Peng, Junran, Bu, Xingyuan, Sun, Ming, Zhang, Zhaoxiang, Tan, Tieniu, Yan, Junjie

    “…Training with more data has always been the most stable and effective way of improving performance in deep learn-ing era. As the largest object detection…”
    Get full text
    Conference Proceeding
  19. 19

    Live-cell RNA imaging using the CRISPR-dCas13 system with modified sgRNAs appended with fluorescent RNA aptamers by Tang, Heng, Peng, Junran, Peng, Shuang, Wang, Qi, Jiang, Xin, Xue, Xiaocheng, Tao, Yanxin, Xiang, Limin, Ji, Quanjiang, Liu, Song-Mei, Weng, Xiaocheng, Zhou, Xiang

    Published in Chemical science (Cambridge) (07-12-2022)
    “…The development of RNA imaging strategies in live cells is essential to improve our understanding of their role in various cellular functions. We report an…”
    Get full text
    Journal Article
  20. 20

    Application of Back-Propagation Neural Network in Multiple Peak Photovoltaic MPPT by Shuran Jia, Daosheng Shi, Junran Peng, Yang Fang

    “…In a photovoltaic (PV) system that consists of multiple series-connected PV modules with bypass diode, there could be multiple peaks in the P-V curve of the PV…”
    Get full text
    Conference Proceeding