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. 1608.05137
  4. Cited By
IM2CAD
v1v2 (latest)

IM2CAD

18 August 2016
Hamid Izadinia
Qi Shan
S. M. Seitz
    3DV
ArXiv (abs)PDFHTML

Papers citing "IM2CAD"

16 / 16 papers shown
Title
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
Bo Sun
Hao Kang
Li Guan
Haoxiang Li
Philippos Mordohai
Gang Hua
119
1
0
28 Jan 2025
PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction
PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction
Sinisa Stekovic
Stefan Ainetter
Mattia DÚrso
Friedrich Fraundorfer
Vincent Lepetit
125
0
0
16 Apr 2024
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View
Andreea Dogaru
M. Ozer
Bernhard Egger
3DGS
117
7
0
04 Apr 2024
A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method
A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method
Yuzhuo Ren
Chen Chen
Shangwen Li
C.-C. Jay Kuo
3DV
56
85
0
03 Jul 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,895
0
20 May 2016
Single Image 3D Interpreter Network
Single Image 3D Interpreter Network
Jiajun Wu
Tianfan Xue
Joseph J Lim
Yuandong Tian
J. Tenenbaum
Antonio Torralba
William T. Freeman
3DV
76
285
0
29 Apr 2016
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Aayush Bansal
Bryan C. Russell
Abhinav Gupta
59
222
0
05 Apr 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
172
5,538
0
09 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
531
62,409
0
04 Jun 2015
Predicting Complete 3D Models of Indoor Scenes
Predicting Complete 3D Models of Indoor Scenes
Ruiqi Guo
Chuhang Zou
Derek Hoiem
3DV
64
57
0
09 Apr 2015
Viewpoints and Keypoints
Viewpoints and Keypoints
Shubham Tulsiani
Jitendra Malik
76
398
0
22 Nov 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
VLMMDE
209
2,683
0
18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,615
0
01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
280
14,715
0
20 Jun 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
291
26,223
0
11 Nov 2013
1