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. 1407.5736
  4. Cited By
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

22 July 2014
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
    ObjD
ArXivPDFHTML

Papers citing "Learning Rich Features from RGB-D Images for Object Detection and Segmentation"

24 / 174 papers shown
Title
FPNN: Field Probing Neural Networks for 3D Data
FPNN: Field Probing Neural Networks for 3D Data
Yangyan Li
Soren Pirk
Hao Su
C. Qi
Leonidas J. Guibas
3DPC
29
287
0
20 May 2016
Unsupervised Total Variation Loss for Semi-supervised Deep Learning of
  Semantic Segmentation
Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation
Mehran Javanmardi
Mehdi S. M. Sajjadi
Ting Liu
Tolga Tasdizen
DRL
16
16
0
04 May 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
37
1,337
0
12 Apr 2016
Direction matters: hand pose estimation from local surface normals
Direction matters: hand pose estimation from local surface normals
Chengde Wan
Angela Yao
Luc Van Gool
3DH
15
19
0
10 Apr 2016
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object
  Recognition
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition
Ziyan Wang
Jiwen Lu
Ruogu Lin
Jianjiang Feng
Jie zhou
21
29
0
06 Apr 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
25
617
0
17 Mar 2016
RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and
  Shape Feature
RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and Shape Feature
Kanzhi Wu
Xiaoyan Li
Ravindra Ranasinghe
G. Dissanayake
Yong Liu
3DV
6
10
0
14 Mar 2016
Exploring Context with Deep Structured models for Semantic Segmentation
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
SSeg
101
125
0
10 Mar 2016
Discriminative Training of Deep Fully-connected Continuous CRF with
  Task-specific Loss
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss
Fayao Liu
Guosheng Lin
Chunhua Shen
21
24
0
28 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
ASIST: Automatic Semantically Invariant Scene Transformation
ASIST: Automatic Semantically Invariant Scene Transformation
Or Litany
Tal Remez
Daniel Freedman
Lior Shapira
A. Bronstein
Ran Gal
3DPC
19
19
0
04 Dec 2015
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
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Shuran Song
Jianxiong Xiao
3DPC
13
680
0
07 Nov 2015
Vision System and Depth Processing for DRC-HUBO+
Vision System and Depth Processing for DRC-HUBO+
Inwook Shim
Seunghak Shin
Yunsu Bok
Kyungdon Joo
Dong-Geol Choi
Joon-Young Lee
Jaesik Park
Jun-Ho Oh
In So Kweon
MDE
36
13
0
21 Sep 2015
Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition
Changzhi Luo
Bingbing Ni
Jun Yuan
Jianfeng Wang
Shuicheng Yan
Meng Wang
17
1
0
02 Sep 2015
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull
Eric Brachmann
Frank Michel
M. Yang
Stefan Gumhold
Carsten Rother
SSL
16
199
0
19 Aug 2015
Monocular SLAM Supported Object Recognition
Monocular SLAM Supported Object Recognition
Sudeep Pillai
J. Leonard
25
138
0
04 Jun 2015
Depth-based hand pose estimation: methods, data, and challenges
Depth-based hand pose estimation: methods, data, and challenges
J. Supančič
Grégory Rogez
Yi Yang
Jamie Shotton
Deva Ramanan
3DH
27
116
0
24 Apr 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Z. Tu
43
3,467
0
24 Apr 2015
Predicting Complete 3D Models of Indoor Scenes
Predicting Complete 3D Models of Indoor Scenes
Ruiqi Guo
Chuhang Zou
Derek Hoiem
3DV
17
57
0
09 Apr 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLM
SSeg
29
923
0
04 Apr 2015
Inferring 3D Object Pose in RGB-D Images
Inferring 3D Object Pose in RGB-D Images
Saurabh Gupta
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
3DPC
21
33
0
16 Feb 2015
Do More Dropouts in Pool5 Feature Maps for Better Object Detection
Do More Dropouts in Pool5 Feature Maps for Better Object Detection
Zhiqiang Shen
Xiangyang Xue
27
5
0
24 Sep 2014
Indoor Semantic Segmentation using depth information
Indoor Semantic Segmentation using depth information
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
SSeg
MDE
91
473
0
16 Jan 2013
Previous
1234