Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 58 min ago
Peer-reviewedCC BYSensors (Basel, Switzerland)

A Residual Alignment and Dynamic Multi-Kernel Network for Infrared–Visible Pedestrian Detection

  1. 1School of Biomedical Engineering, , Xi’an 710032, China; (S.H.); (C.C.); (M.H.)

Related

  1. IV-PAFNet: Infrared-visible cross-modal alignment and fusion network for nighttime UAV object detection
    Cheng Yuan, Shichang Shang, Jinghao Zhang +2
    PLOS OnePeer-reviewedCC BYFull textBioinformatics & computational biologyNeurosciencePLOSEurope PMCPMC
  2. Pedestrian detection and hybrid tracking framework for occluded scenarios
    M. B. Rakshitha, Arbiya Firdose, R. Suresha +2
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  3. A nighttime pedestrian detection method based on YOLOv8s with joint image enhancement and network structural optimization
    Fengyi Gu, Kaikai Shao, Xinghuan Yang
    Scientific ReportsPeer-reviewedCC BYFull textGeneral medicineDOAJ
  4. LAIR-Net: Leaky Alignment-Impulse Residual Networks for Tabular Regression
    Rahul Goswami, Aryan Bhambu, Bittu Karmakar
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  5. WEIRDO: WEak resIdual Regularized DOob's h-transform diffusion alignment
    Denis Suchkov
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
BibTeX
@article{han2026residual,
  title = {{A Residual Alignment and Dynamic Multi-Kernel Network for Infrared–Visible Pedestrian Detection}},
  author = {Shipeng Han and Chaowen Chai and Min Hu and Hao Lv},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13709845},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A Residual Alignment and Dynamic Multi-Kernel Network for Infrared–Visible Pedestrian Detection
AU  - Shipeng Han
AU  - Chaowen Chai
AU  - Min Hu
AU  - Hao Lv
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13709845
SN  - 1424-8220
ER  -