ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1412.7190
  4. Cited By
Convolutional Neural Networks for joint object detection and pose
  estimation: A comparative study
v1v2v3v4 (latest)

Convolutional Neural Networks for joint object detection and pose estimation: A comparative study

22 December 2014
Francisco Massa
Mathieu Aubry
Renaud Marlet
ArXiv (abs)PDFHTML

Papers citing "Convolutional Neural Networks for joint object detection and pose estimation: A comparative study"

6 / 6 papers shown
DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose
  Estimation via a Smooth Silhouette Loss
DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
G. Albanis
N. Zioulis
A. Dimou
D. Zarpalas
P. Daras
3DH
189
12
0
20 Aug 2020
A Mixed Classification-Regression Framework for 3D Pose Estimation from
  2D Images
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images
S. Mahendran
Haider Ali
René Vidal
3DH
272
46
0
08 May 2018
Convolutional Networks for Object Category and 3D Pose Estimation from
  2D Images
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images
S. Mahendran
Haider Ali
René Vidal
118
2
0
20 Nov 2017
6-DoF Object Pose from Semantic Keypoints
6-DoF Object Pose from Semantic Keypoints
Georgios Pavlakos
Xiaowei Zhou
Aaron Chan
Konstantinos G. Derpanis
Kostas Daniilidis
304
413
0
14 Mar 2017
Crafting a multi-task CNN for viewpoint estimation
Crafting a multi-task CNN for viewpoint estimation
Francisco Massa
Renaud Marlet
Mathieu Aubry
206
79
0
13 Sep 2016
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model ViewsIEEE International Conference on Computer Vision (ICCV), 2015
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
272
749
0
21 May 2015
1