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Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud

Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud

25 April 2024
Ayumu Saito
Prachi Kudeshia
Jiju Poovvancheri
    3DPC
ArXivPDFHTML

Papers citing "Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud"

10 / 10 papers shown
Title
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
En Fu
Yanyan Hu
AI4TS
26
0
0
30 Dec 2024
Sparsh: Self-supervised touch representations for vision-based tactile
  sensing
Sparsh: Self-supervised touch representations for vision-based tactile sensing
Carolina Higuera
Akash Sharma
Chaithanya Krishna Bodduluri
Taosha Fan
Patrick E. Lancaster
...
Michael Kaess
Byron Boots
Mike Lambeta
Tingfan Wu
Mustafa Mukadam
29
11
0
31 Oct 2024
Learning Latent Wireless Dynamics from Channel State Information
Learning Latent Wireless Dynamics from Channel State Information
Charbel Bou Chaaya
Abanoub M. Girgis
Mehdi Bennis
16
1
0
16 Sep 2024
Aligning Cyber Space with Physical World: A Comprehensive Survey on
  Embodied AI
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
Y. Liu
Weixing Chen
Yongjie Bai
Xiaodan Liang
Guanbin Li
Wen Gao
Liang Lin
LM&Ro
SyDa
AI4CE
48
27
0
09 Jul 2024
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory
  Similarity Computation
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation
Lihuan Li
Hao Xue
Yang Song
Flora Salim
34
1
0
13 Jun 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context
  Time-series Forecasting
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
Stijn Verdenius
Andrea Zerio
Roy L.M. Wang
BDL
AI4TS
AI4CE
24
2
0
16 May 2024
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
167
241
0
28 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
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
219
13,886
0
02 Dec 2016
1