ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1503.04949
  4. Cited By
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs
  and Bilateral Neural Networks

Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks

17 March 2015
Varun Jampani
Martin Kiefel
Peter V. Gehler
ArXivPDFHTML

Papers citing "Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks"

4 / 4 papers shown
Title
A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional
  Bilateral Grid for Edge Consistent Single Image Depth Estimation
A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation
Mansi Sharma
Abheesht Sharma
Kadvekar Rohit Tushar
Avinash Panneer
MDE
46
6
0
21 May 2021
Co-occurrence Filter
Co-occurrence Filter
R. Jevnisek
S. Avidan
CVBM
11
44
0
12 Mar 2017
Deep Learning Convolutional Networks for Multiphoton Microscopy
  Vasculature Segmentation
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari
Marc A. Santos
Charissa Poon
K. Hynynen
3DV
24
48
0
08 Jun 2016
Superpixel Convolutional Networks using Bilateral Inceptions
Superpixel Convolutional Networks using Bilateral Inceptions
Raghudeep Gadde
Varun Jampani
Martin Kiefel
Daniel Kappler
Peter V. Gehler
SSeg
SupR
30
129
0
20 Nov 2015
1