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SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for
  Spatial-Aware Visual Representations
v1v2 (latest)

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

9 December 2021
Zhenyu Li
Zehui Chen
Ang Li
Liangji Fang
Qinhong Jiang
Xianming Liu
Junjun Jiang
Bolei Zhou
Hang Zhao
    3DPCSSL
ArXiv (abs)PDFHTMLGithub (50★)

Papers citing "SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations"

46 / 46 papers shown
Title
SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
Haiming Zhang
Yiyao Zhu
Wending Zhou
Xu Yan
Yingjie Cai
Bingbing Liu
Shuguang Cui
Zhen Li
88
0
0
20 Sep 2025
Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding
Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding
Liwen Liu
Weidong Yang
Lipeng Ma
Ben Fei
3DPC
141
0
0
23 Jul 2025
2D-3D Attention and Entropy for Pose Robust 2D Facial Recognition
2D-3D Attention and Entropy for Pose Robust 2D Facial RecognitionIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2025
J. Brennan Peace
Shuowen Hu
B. Riggan
CVBM
180
1
0
14 May 2025
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Shumin Wang
Zhuoran Yang
Liwen Wang
ZhiPeng Tang
Heng Li
Lehan Pan
Sha Zhang
Jie Peng
Jianmin Ji
Y. Zhang
3DPC
251
0
0
17 Apr 2025
IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain
IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data DomainIEEE International Conference on Robotics and Automation (ICRA), 2025
Liang Luo
Xiaoliang Huo
Siqi Fan
Jingjing Liu
Ya-Qin Zhang
Yan Wang
149
0
0
30 Jan 2025
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
Runjian Chen
Han Zhang
Avinash Ravichandran
Wenqi Shao
Alex Wong
Ping Luo
Ping Luo
3DPC
349
0
0
04 Dec 2024
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous DrivingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Maciej K. Wozniak
Hariprasath Govindarajan
Marvin Klingner
Camille Maurice
B Ravi Kiran
S. Yogamani
3DPC
266
2
0
30 Oct 2024
Towards High-resolution 3D Anomaly Detection via Group-Level Feature
  Contrastive Learning
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive LearningACM Multimedia (MM), 2024
Hongze Zhu
Guoyang Xie
Chengbin Hou
Tao Dai
Can Gao
Jinbao Wang
Linlin Shen
3DPC
168
21
0
08 Aug 2024
Gated Fields: Learning Scene Reconstruction from Gated Videos
Gated Fields: Learning Scene Reconstruction from Gated Videos
Andrea Ramazzina
Stefanie Walz
Pragyan Dahal
Mario Bijelic
Felix Heide
264
3
0
30 May 2024
Cross-spectral Gated-RGB Stereo Depth Estimation
Cross-spectral Gated-RGB Stereo Depth Estimation
Samuel Brucker
Stefanie Walz
Mario Bijelic
Felix Heide
MDE
252
8
0
21 May 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
Shaoheng Fang
Rui Ye
Wenhao Wang
Zuhong Liu
Yuxiao Wang
Yafei Wang
Siheng Chen
Yanfeng Wang
297
4
0
23 Jan 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 CalibrationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Yifan Zhang
Siyu Ren
Xianqiang Lyu
Jinjian Wu
Guangming Shi
Guangming Shi
SSL3DPC
580
7
0
23 Jan 2024
Forging Vision Foundation Models for Autonomous Driving: Challenges,
  Methodologies, and Opportunities
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities
Xu Yan
Haiming Zhang
Yingjie Cai
Jingming Guo
Weichao Qiu
...
Lihui Jiang
Wei Zhang
Hongbo Zhang
Dengxin Dai
Bingbing Liu
345
24
0
16 Jan 2024
DDOS: The Drone Depth and Obstacle Segmentation Dataset
DDOS: The Drone Depth and Obstacle Segmentation Dataset
Benedikt Kolbeinsson
K. Mikolajczyk
101
10
0
19 Dec 2023
Towards Transferable Multi-modal Perception Representation Learning for
  Autonomy: NeRF-Supervised Masked AutoEncoder
Towards Transferable Multi-modal Perception Representation Learning for Autonomy: NeRF-Supervised Masked AutoEncoder
Xiaohao Xu
304
0
0
23 Nov 2023
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D
  Pre-training
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingComputer Vision and Pattern Recognition (CVPR), 2023
Yipeng Gao
Zeyu Wang
Wei-Shi Zheng
Cihang Xie
Yuyin Zhou
3DPC
252
15
0
03 Nov 2023
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point
  Clouds
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point CloudsInternational Conference on 3D Vision (3DV), 2023
Corentin Sautier
Gilles Puy
Alexandre Boulch
Renaud Marlet
Vincent Lepetit
3DPC
173
21
0
26 Oct 2023
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
RoboDepth: Robust Out-of-Distribution Depth Estimation under CorruptionsNeural Information Processing Systems (NeurIPS), 2023
Lingdong Kong
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
Benoit R. Cottereau
Wei Tsang Ooi
OODD
197
55
0
23 Oct 2023
PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised
  RGB-D Point Cloud Registration
PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud RegistrationIEEE International Conference on Computer Vision (ICCV), 2023
Mingzhi Yuan
Kexue Fu
Zhihao Li
Yucong Meng
Manning Wang
3DPC
157
25
0
09 Aug 2023
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene
  Understanding of Healthcare Facilities
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare FacilitiesIEEE Robotics and Automation Letters (RA-L), 2023
Rohit Mohan
J. Arce
Sassan Mokhtar
Daniele Cattaneo
Abhinav Valada
106
6
0
06 Aug 2023
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for
  3D Understanding
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D UnderstandingIEEE transactions on multimedia (IEEE TMM), 2023
Jiachen Kang
W. Jia
Xiangjian He
Kin-Man Lam
3DPC
179
5
0
28 Jul 2023
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong
Yaru Niu
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
...
Zhenyu Li
Runze Chen
Haiyong Luo
Fang Zhao
Jing Yu
219
18
0
27 Jul 2023
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV
  Perception
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV PerceptionInternational Conference on Learning Representations (ICLR), 2023
Jiachen Sun
Haizhong Zheng
Qingzhao Zhang
Atul Prakash
Z. Morley Mao
Chaowei Xiao
SSL
216
12
0
01 Jun 2023
Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active
  Stereo Cues
Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo CuesComputer Vision and Pattern Recognition (CVPR), 2023
Stefanie Walz
Mario Bijelic
Andrea Ramazzina
Amanpreet Walia
Fahim Mannan
Felix Heide
MDE
218
10
0
22 May 2023
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Ben Fei
Weidong Yang
Liwen Liu
Tian-jian Luo
Rui Zhang
Shouqing Yang
Ying He
3DPC
204
25
0
08 May 2023
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D
  Scenes
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes
Maria Parelli
Alexandros Delitzas
Nikolas Hars
G. Vlassis
Sotiris Anagnostidis
Gregor Bachmann
Thomas Hofmann
CLIP
155
69
0
12 Apr 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D
  Object Detection
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Anthony Chen
Kevin Zhang
Renrui Zhang
Zihan Wang
Yuheng Lu
Yandong Guo
Shanghang Zhang
3DPC
185
91
0
14 Mar 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
CLIPVLM
195
105
0
08 Mar 2023
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse
  Night Conditions
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night ConditionsIEEE International Conference on Robotics and Biomimetics (ROBIO), 2023
Peilun Shi
Jiachuan Peng
Jianing Qiu
Xinwei Ju
Frank P.-W. Lo
Benny Lo
MDE
171
23
0
08 Feb 2023
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud
  Segmentation Networks With Image Data
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image DataCanadian Conference on Computer and Robot Vision (CRV), 2023
A. Janda
Brandon Wagstaff
Edwin G. Ng
J. Kelly
3DPC
186
4
0
18 Jan 2023
Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth
  Estimation in Dynamic Scenes
Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes
Songchun Zhang
Chunhui Zhao
ViTMDE
149
5
0
14 Jan 2023
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?International Conference on Learning Representations (ICLR), 2022
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT3DPC
242
135
0
16 Dec 2022
LidarCLIP or: How I Learned to Talk to Point Clouds
LidarCLIP or: How I Learned to Talk to Point CloudsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Georg Hess
Adam Tonderski
Christoffer Petersson
Kalle AAstrom
Lennart Svensson
DiffM
233
29
0
13 Dec 2022
Learning 3D Representations from 2D Pre-trained Models via
  Image-to-Point Masked Autoencoders
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked AutoencodersComputer Vision and Pattern Recognition (CVPR), 2022
Renrui Zhang
Liuhui Wang
Yu Qiao
Shiyang Feng
Jiaming Song
3DPC
222
177
0
13 Dec 2022
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
ALSO: Automotive Lidar Self-supervision by Occupancy estimationComputer Vision and Pattern Recognition (CVPR), 2022
Alexandre Boulch
Corentin Sautier
Bjoern Michele
Gilles Puy
Renaud Marlet
SSL3DPC
301
74
0
12 Dec 2022
Language-Assisted 3D Feature Learning for Semantic Scene Understanding
Language-Assisted 3D Feature Learning for Semantic Scene UnderstandingAAAI Conference on Artificial Intelligence (AAAI), 2022
Junbo Zhang
Guo Fan
Guanghan Wang
Zhèngyuān Sū
Kaisheng Ma
L. Yi
3DPC
225
8
0
25 Nov 2022
How do Cross-View and Cross-Modal Alignment Affect Representations in
  Contrastive Learning?
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?
Thomas M. Hehn
Julian F. P. Kooij
D. Gavrila
SSL
109
0
0
23 Nov 2022
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
A. Janda
Brandon Wagstaff
Edwin G. Ng
J. Kelly
3DPC
63
4
0
21 Nov 2022
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud
  Analysis
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud AnalysisAsian Conference on Computer Vision (ACCV), 2022
Bach Tran
Binh-Son Hua
Anh Tran
Minh Hoai
3DPC
241
11
0
28 Oct 2022
Let Images Give You More:Point Cloud Cross-Modal Training for Shape
  Analysis
Let Images Give You More:Point Cloud Cross-Modal Training for Shape AnalysisNeural Information Processing Systems (NeurIPS), 2022
Xu Yan
Heshen Zhan
Chaoda Zheng
Jiantao Gao
Ruimao Zhang
Shuguang Cui
Zhen Li
3DPC
147
43
0
09 Oct 2022
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile
  Devices
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices
Zhenyu Li
Zehui Chen
Jialei Xu
Xianming Liu
Junjun Jiang
VLMMDE
240
1
0
02 Sep 2022
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D
  Object Detection
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
Zehui Chen
Zhenyu Li
Shiquan Zhang
Liangji Fang
Qinhong Jiang
Feng Zhao
3DPC
195
90
0
21 Jul 2022
3D Object Detection for Autonomous Driving: A Comprehensive Survey
3D Object Detection for Autonomous Driving: A Comprehensive SurveyInternational Journal of Computer Vision (IJCV), 2022
Jiageng Mao
Shaoshuai Shi
Xiaogang Wang
Jiaming Song
3DPC
360
322
0
19 Jun 2022
Unsupervised Domain Adaptation for Monocular 3D Object Detection via
  Self-Training
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-TrainingEuropean Conference on Computer Vision (ECCV), 2022
Zhenyu Li
Zehui Chen
Ang Li
Liangji Fang
Qinhong Jiang
Xianming Liu
Junjun Jiang
206
30
0
25 Apr 2022
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object
  Detection
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object DetectionACM Multimedia (ACM MM), 2022
Zehui Chen
Zhenyu Li
Shiquan Zhang
Liangji Fang
Qinhong Jiang
Feng Zhao
318
54
0
25 Apr 2022
DepthFormer: Exploiting Long-Range Correlation and Local Information for
  Accurate Monocular Depth Estimation
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth EstimationMachine Intelligence Research (MIR), 2022
Zhenyu Li
Zehui Chen
Xianming Liu
Junjun Jiang
ViTMDE
150
220
1
27 Mar 2022
1