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4DContrast: Contrastive Learning with Dynamic Correspondences for 3D
  Scene Understanding

4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding

6 December 2021
Yujin Chen
Matthias Nießner
Angela Dai
    3DPC
ArXivPDFHTML

Papers citing "4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding"

29 / 29 papers shown
Title
Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene Understanding
Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene Understanding
Yuchen Rao
Stefan Ainetter
Sinisa Stekovic
Vincent Lepetit
Friedrich Fraundorfer
3DPC
3DV
275
0
0
18 Apr 2025
uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images
uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images
Jonathan Lee
Bolivar Solarte
Chin-Hsuan Wu
Jin-Cheng Jhang
Fu-En Wang
Yi-Hsuan Tsai
Min Sun
54
0
0
27 Mar 2025
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
Yifan Zhang
Junhui Hou
66
1
0
03 Jan 2025
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders
Xuechao Chen
Ying Chen
Jian Li
Qiang Nie
Hanqiu Deng
Yong-Jin Liu
Qixing Huang
Yang Li
3DPC
78
0
0
19 Aug 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Yifan Zhang
Siyu Ren
Junhui Hou
Jinjian Wu
Guangming Shi
Guangming Shi
SSL
3DPC
93
3
0
23 Jan 2024
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
Haoyi Zhu
Honghui Yang
Xiaoyang Wu
Di Huang
Sha Zhang
...
Hengshuang Zhao
Chunhua Shen
Yu Qiao
Tong He
Wanli Ouyang
SSL
77
43
0
12 Oct 2023
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene
  Reconstruction
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction
Sebastian Koch
Pedro Hermosilla
Narunas Vaskevicius
Mirco Colosi
Timo Ropinski
3DPC
SSL
42
13
0
27 Sep 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
43
18
0
31 May 2023
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with
  Foundation Models
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Zhimin Chen
Longlong Jing
Yingwei Li
Bing Li
37
31
0
15 May 2023
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D
  Dense CLIP
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP
Junbo Zhang
Runpei Dong
Kaisheng Ma
CLIP
VLM
37
77
0
08 Mar 2023
Applying Plain Transformers to Real-World Point Clouds
Applying Plain Transformers to Real-World Point Clouds
Lanxiao Li
M. Heizmann
3DPC
ViT
31
3
0
28 Feb 2023
SSR-2D: Semantic 3D Scene Reconstruction from 2D Images
SSR-2D: Semantic 3D Scene Reconstruction from 2D Images
J. Huang
Alexey Artemov
Yujin Chen
Shuaifeng Zhi
Kaiyang Xu
Matthias Nießner
3DV
3DPC
50
3
0
07 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
48
118
0
05 Feb 2023
Ponder: Point Cloud Pre-training via Neural Rendering
Ponder: Point Cloud Pre-training via Neural Rendering
Di Huang
Sida Peng
Tong He
Honghui Yang
Xiaowei Zhou
Wanli Ouyang
SSL
3DPC
45
41
0
31 Dec 2022
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with
  Informative-Preserved Reconstruction and Self-Distilled Consistency
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency
Mingye Xu
Mutian Xu
Tong He
Wanli Ouyang
Yali Wang
Xiaoguang Han
Yu Qiao
39
10
0
20 Dec 2022
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT
3DPC
29
84
0
16 Dec 2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers
  using Synthetic Scene Data
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
Roei Herzig
Ofir Abramovich
Elad Ben-Avraham
Assaf Arbelle
Leonid Karlinsky
Ariel Shamir
Trevor Darrell
Amir Globerson
43
16
0
08 Dec 2022
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
Honghui Yang
Tong He
Jiaheng Liu
Huaguan Chen
Boxi Wu
Binbin Lin
Xiaofei He
Wanli Ouyang
61
58
0
06 Dec 2022
SeRP: Self-Supervised Representation Learning Using Perturbed Point
  Clouds
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds
Siddhant Garg
Mudit Chaudhary
3DPC
50
2
0
13 Sep 2022
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
Dávid Rozenberszki
Or Litany
Angela Dai
3DV
VLM
28
184
0
16 Apr 2022
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Alexey Nekrasov
Jonas Schult
Or Litany
Bastian Leibe
Francis Engelmann
3DPC
164
154
0
05 Oct 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
137
267
0
07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
141
625
0
21 Jul 2020
OccuSeg: Occupancy-aware 3D Instance Segmentation
OccuSeg: Occupancy-aware 3D Instance Segmentation
Lei Han
Tian Zheng
Lan Xu
Lu Fang
3DPC
160
257
0
14 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
281
3,381
0
09 Mar 2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
C. Qi
Xinlei Chen
Or Litany
Leonidas J. Guibas
3DPC
197
249
0
29 Jan 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
194
0
18 Oct 2019
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
115
876
0
03 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,136
0
02 Dec 2016
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