Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • NCST: Neural-based Color Style Transfer for Video Retouching
Cover Image

NCST: Neural-based Color Style Transfer for Video Retouching

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Jiang, Xintao, Chen, Yaosen, Zhang, Siqin, Wang, Wei, Wen, Xuming
Format: Preprint
Published: 2024
Subjects:
Computer Vision and Pattern Recognition
Neural and Evolutionary Computing
Image and Video Processing
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2411.00335

Similar Items

  • Improvement of Spiking Neural Network with Bit Planes and Color Models
    by: Luu, Nhan T., et al.
    Published: (2024)
  • Region Masking to Accelerate Video Processing on Neuromorphic Hardware
    by: Sarkar, Sreetama, et al.
    Published: (2025)
  • A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
    by: Wu, Yuli, et al.
    Published: (2023)
  • Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation
    by: Hamzaoui, Imane, et al.
    Published: (2024)
  • Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change Detection
    by: Chen, Xuelei, et al.
    Published: (2023)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar