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. 1301.3572
  4. Cited By
Indoor Semantic Segmentation using depth information

Indoor Semantic Segmentation using depth information

16 January 2013
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
    SSeg
    MDE
ArXivPDFHTML

Papers citing "Indoor Semantic Segmentation using depth information"

19 / 119 papers shown
Title
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
Ankur Handa
Viorica Patraucean
Vijay Badrinarayanan
Simon Stent
R. Cipolla
3DPC
3DV
23
230
0
22 Nov 2015
Learning High-level Prior with Convolutional Neural Networks for
  Semantic Segmentation
Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation
Haitian Zheng
Yebin Liu
Mengqi Ji
Feng Wu
Lu Fang
SSeg
25
9
0
22 Nov 2015
LLNet: A Deep Autoencoder Approach to Natural Low-light Image
  Enhancement
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
Kin Gwn Lore
Adedotun Akintayo
S. Sarkar
6
1,430
0
12 Nov 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCV
BDL
17
1,061
0
09 Nov 2015
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes
Stuart Golodetz
Michael Sapienza
Julien P. C. Valentin
Vibhav Vineet
Ming-Ming Cheng
...
Pushmeet Kohli
Carl Yuheng Ren
David Kim
Shahram Izadi
Philip H. S. Torr
13
102
0
13 Oct 2015
Understand Scene Categories by Objects: A Semantic Regularized Scene
  Classifier Using Convolutional Neural Networks
Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks
Yiyi Liao
S. Kodagoda
Yue Wang
Lei Shi
Y. Liu
11
104
0
22 Sep 2015
Semantic Pose using Deep Networks Trained on Synthetic RGB-D
Semantic Pose using Deep Networks Trained on Synthetic RGB-D
Jeremie Papon
Markus Schoeler
31
77
0
04 Aug 2015
Multimodal Deep Learning for Robust RGB-D Object Recognition
Multimodal Deep Learning for Robust RGB-D Object Recognition
Andreas Eitel
Jost Tobias Springenberg
Luciano Spinello
Martin Riedmiller
Wolfram Burgard
20
645
0
24 Jul 2015
Colors $-$Messengers of Concepts: Visual Design Mining for Learning
  Color Semantics
Colors −-−Messengers of Concepts: Visual Design Mining for Learning Color Semantics
Ali Jahanian
S.V.N. Vishwanathan
J. Allebach
VLM
28
39
0
25 May 2015
In Defense of the Direct Perception of Affordances
In Defense of the Direct Perception of Affordances
David Fouhey
X. Wang
Abhinav Gupta
19
21
0
05 May 2015
Context Tricks for Cheap Semantic Segmentation
Context Tricks for Cheap Semantic Segmentation
Thanapong Intharah
Gabriel J. Brostow
VLM
27
0
0
17 Feb 2015
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image
  Segmentation and Cosegmentation
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation
Hongyuan Zhu
Fanman Meng
Jianfei Cai
Shijian Lu
SSeg
3DV
40
229
0
03 Feb 2015
ModDrop: adaptive multi-modal gesture recognition
ModDrop: adaptive multi-modal gesture recognition
Natalia Neverova
Christian Wolf
Graham W. Taylor
Florian Nebout
34
292
0
31 Dec 2014
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional
  Networks
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks
S. Sarkar
V. Venugopalan
K. Reddy
M. Giering
J. Ryde
Navdeep Jaitly
36
13
0
22 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
32
2,669
0
18 Nov 2014
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
38
1,556
0
22 Jul 2014
Find my mug: Efficient object search with a mobile robot using semantic
  segmentation
Find my mug: Efficient object search with a mobile robot using semantic segmentation
Daniel Wolf
Markus Bajones
J. Prankl
Markus Vincze
3DPC
47
4
0
23 Apr 2014
Causal graph-based video segmentation
Causal graph-based video segmentation
Camille Couprie
C. Farabet
Yann LeCun
34
25
0
08 Jan 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
Previous
123