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Unsupervised Learning of Object Keypoints for Perception and Control
v1v2 (latest)

Unsupervised Learning of Object Keypoints for Perception and Control

Neural Information Processing Systems (NeurIPS), 2019
19 June 2019
Tejas D. Kulkarni
Ankush Gupta
Catalin Ionescu
Sebastian Borgeaud
Malcolm Reynolds
Andrew Zisserman
Volodymyr Mnih
    SSLOCL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Learning of Object Keypoints for Perception and Control"

50 / 148 papers shown
Neural Constraint Satisfaction: Hierarchical Abstraction for
  Combinatorial Generalization in Object Rearrangement
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang
Alyssa Dayan
Franziska Meier
Thomas Griffiths
Sergey Levine
Amy Zhang
OCLOffRL
248
9
0
20 Mar 2023
Deep Reinforcement Learning Based on Local GNN for Goal-conditioned
  Deformable Object Rearranging
Deep Reinforcement Learning Based on Local GNN for Goal-conditioned Deformable Object RearrangingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Yuhong Deng
Chongkun Xia
Xueqian Wang
Lipeng Chen
228
16
0
21 Feb 2023
Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned
  Deformable Object Rearranging Task
Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned Deformable Object Rearranging TaskIEEE International Conference on Systems, Man and Cybernetics (SMC), 2022
Yuhong Deng
Chongkun Xia
Xueqian Wang
Lipeng Chen
174
5
0
21 Feb 2023
Train What You Know -- Precise Pick-and-Place with Transporter Networks
Train What You Know -- Precise Pick-and-Place with Transporter NetworksIEEE International Conference on Robotics and Automation (ICRA), 2023
Gergely Sóti
Xi Huang
C. Wurll
B. Hein
140
7
0
17 Feb 2023
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023
D. Shim
Seungjae Lee
H. J. Kim
347
20
0
27 Jan 2023
MIRA: Mental Imagery for Robotic Affordances
MIRA: Mental Imagery for Robotic AffordancesConference on Robot Learning (CoRL), 2022
Lin Yen-Chen
Pete Florence
Andy Zeng
Jonathan T. Barron
Yilun Du
Wei-Chiu Ma
Anthony Simeonov
Alberto Rodriguez Garcia
Phillip Isola
LM&Ro
330
39
0
12 Dec 2022
Sample Efficient Robot Learning with Structured World Models
Sample Efficient Robot Learning with Structured World Models
T. Akbulut
Max Merlin
Shane Parr
Benedict Quartey
Skye Thompson
110
0
0
21 Oct 2022
VIOLA: Imitation Learning for Vision-Based Manipulation with Object
  Proposal Priors
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors
Yifeng Zhu
Abhishek Joshi
Peter Stone
Yuke Zhu
LM&Ro
274
193
0
20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement
  Learning
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu
Nicklas Hansen
Zirui Wang
Yung-Chieh Chan
H. Su
Zhuowen Tu
OffRL
261
18
0
19 Oct 2022
Visual Reinforcement Learning with Self-Supervised 3D Representations
Visual Reinforcement Learning with Self-Supervised 3D RepresentationsIEEE Robotics and Automation Letters (RA-L), 2022
Yanjie Ze
Nicklas Hansen
Yinbo Chen
Mohit Jain
Xiaolong Wang
SSL
326
70
0
13 Oct 2022
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
Entropy-driven Unsupervised Keypoint Representation Learning in VideosInternational Conference on Machine Learning (ICML), 2022
A. Younes
Simone Schaub-Meyer
Georgia Chalvatzaki
SSL
355
0
0
30 Sep 2022
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from
  Visual Observations in a Logistics Scenario
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario
Vittorio Giammarino
Andrew J Meyer
Kai Biegun
OffRL
306
0
0
25 Sep 2022
Is an Object-Centric Video Representation Beneficial for Transfer?
Is an Object-Centric Video Representation Beneficial for Transfer?Asian Conference on Computer Vision (ACCV), 2022
Chuhan Zhang
Ankush Gupta
Andrew Zisserman
ViT
350
32
0
20 Jul 2022
Human-to-Robot Imitation in the Wild
Human-to-Robot Imitation in the Wild
Shikhar Bahl
Abhi Gupta
Deepak Pathak
401
220
0
19 Jul 2022
Demystifying Unsupervised Semantic Correspondence Estimation
Demystifying Unsupervised Semantic Correspondence EstimationEuropean Conference on Computer Vision (ECCV), 2022
Mehmet Aygun
Oisin Mac Aodha
219
13
0
11 Jul 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for
  End-to-End Visual Robotic Manipulation Learning
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation LearningInternational Conference on Learning Representations (ICLR), 2022
Hyunwoo Ryu
Jeong-Hoon Lee
Honglak Lee
Jongeun Choi
420
72
0
16 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?Neural Information Processing Systems (NeurIPS), 2022
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
308
37
0
10 Jun 2022
Reinforcement Learning with Neural Radiance Fields
Reinforcement Learning with Neural Radiance FieldsNeural Information Processing Systems (NeurIPS), 2022
Danny Driess
Ingmar Schubert
Peter R. Florence
Yunzhu Li
Marc Toussaint
AI4CE
231
63
0
03 Jun 2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A
  novel approach to Unsupervised Landmark Discovery
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark DiscoveryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Dimitrios Mallis
Enrique Sanchez
Matt Bell
Georgios Tzimiropoulos
SSL3DPC
265
10
0
31 May 2022
Unsupervised Image Representation Learning with Deep Latent Particles
Unsupervised Image Representation Learning with Deep Latent ParticlesInternational Conference on Machine Learning (ICML), 2022
Tal Daniel
Aviv Tamar
OCLSSL
276
17
0
31 May 2022
AutoLink: Self-supervised Learning of Human Skeletons and Object
  Outlines by Linking Keypoints
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking KeypointsNeural Information Processing Systems (NeurIPS), 2022
Xingzhe He
Bastian Wandt
Helge Rhodin
SSL3DH3DPC
689
24
0
21 May 2022
Self-Supervised Learning of Multi-Object Keypoints for Robotic
  Manipulation
Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation
Jan Ole von Hartz
Eugenio Chisari
Tim Welschehold
Abhinav Valada
SSL
292
5
0
17 May 2022
Learning Keypoints from Synthetic Data for Robotic Cloth Folding
Learning Keypoints from Synthetic Data for Robotic Cloth Folding
Thomas Lips
Victor-Louis De Gusseme
Francis Wyffels
147
14
0
13 May 2022
Visuomotor Control in Multi-Object Scenes Using Object-Aware
  Representations
Visuomotor Control in Multi-Object Scenes Using Object-Aware RepresentationsIEEE International Conference on Robotics and Automation (ICRA), 2022
Negin Heravi
Ayzaan Wahid
Corey Lynch
Peter R. Florence
Travis Armstrong
Jonathan Tompson
P. Sermanet
Jeannette Bohg
Debidatta Dwibedi
SSL
263
22
0
12 May 2022
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageInternational Conference on Learning Representations (ICLR), 2022
Andy Zeng
Maria Attarian
Brian Ichter
K. Choromanski
Adrian S. Wong
...
Michael S. Ryoo
Vikas Sindhwani
Johnny Lee
Vincent Vanhoucke
Peter R. Florence
ReLMLRM
600
684
0
01 Apr 2022
Weakly Supervised Disentangled Representation for Goal-conditioned
  Reinforcement Learning
Weakly Supervised Disentangled Representation for Goal-conditioned Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2022
Zhifeng Qian
Mingyu You
Hongjun Zhou
Bin He
DRLOffRL
185
7
0
28 Feb 2022
Generalizable task representation learning from human demonstration
  videos: a geometric approach
Generalizable task representation learning from human demonstration videos: a geometric approachIEEE International Conference on Robotics and Automation (ICRA), 2022
Jun Jin
Martin Jägersand
152
6
0
28 Feb 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
Learning Multi-Object Dynamics with Compositional Neural Radiance FieldsConference on Robot Learning (CoRL), 2022
Danny Driess
Zhiao Huang
Yunzhu Li
Russ Tedrake
Marc Toussaint
OCLAI4CE
450
91
0
24 Feb 2022
Guided Visual Attention Model Based on Interactions Between Top-down and
  Bottom-up Information for Robot Pose Prediction
Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Information for Robot Pose PredictionAnnual Conference of the IEEE Industrial Electronics Society (IECON), 2022
Hyogo Hiruma
Hiroki Mori
Hiroshi Ito
Tetsuya Ogata
242
0
0
21 Feb 2022
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation
KINet: Unsupervised Forward Models for Robotic Pushing ManipulationIEEE Robotics and Automation Letters (RA-L), 2022
Alireza Rezazadeh
Changhyun Choi
SSL3DPC
301
4
0
18 Feb 2022
Neural NID Rules
Neural NID Rules
Luca Viano
Johanni Brea
NAIAI4CE
242
0
0
12 Feb 2022
Sim2Real Object-Centric Keypoint Detection and Description
Sim2Real Object-Centric Keypoint Detection and DescriptionAAAI Conference on Artificial Intelligence (AAAI), 2022
Chengliang Zhong
Chao Yang
Ji Qi
Gang Hua
Huaping Liu
Xiaodong Mu
Wenbing Huang
3DPC
309
12
0
01 Feb 2022
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel
  Space
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel SpaceInternational Conference on Learning Representations (ICLR), 2022
Steeven Janny
Fabien Baradel
Natalia Neverova
M. Nadri
Greg Mori
Christian Wolf
CML
214
17
0
01 Feb 2022
COMPOSER: Compositional Reasoning of Group Activity in Videos with
  Keypoint-Only Modality
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
Honglu Zhou
Asim Kadav
Aviv Shamsian
Shijie Geng
Farley Lai
Long Zhao
Tingxi Liu
Mubbasir Kapadia
H. Graf
224
32
0
11 Dec 2021
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
Rika Antonova
Jingyun Yang
Priya Sundaresan
Dieter Fox
Fabio Ramos
Jeannette Bohg
247
26
0
09 Dec 2021
CoNeRF: Controllable Neural Radiance Fields
CoNeRF: Controllable Neural Radiance Fields
Kacper Kania
K. M. Yi
Marek Kowalski
Tomasz Trzciñski
Andrea Tagliasacchi
AI4CE
299
85
0
03 Dec 2021
GANSeg: Learning to Segment by Unsupervised Hierarchical Image
  Generation
GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
Xingzhe He
Bastian Wandt
Helge Rhodin
GAN
340
26
0
02 Dec 2021
Learning Temporally Causal Latent Processes from General Temporal Data
Learning Temporally Causal Latent Processes from General Temporal DataInternational Conference on Learning Representations (ICLR), 2021
Weiran Yao
Yuewen Sun
Alex Ho
Changyin Sun
Kun Zhang
BDLCML
404
100
0
11 Oct 2021
Learning Visual Shape Control of Novel 3D Deformable Objects from
  Partial-View Point Clouds
Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point CloudsIEEE International Conference on Robotics and Automation (ICRA), 2021
Bao Thach
Brian Y. Cho
Alan Kuntz
Tucker Hermans
3DPC
207
38
0
10 Oct 2021
Learning Periodic Tasks from Human Demonstrations
Learning Periodic Tasks from Human Demonstrations
Jingyun Yang
Junwu Zhang
Connor Settle
Akshara Rai
Rika Antonova
Jeannette Bohg
267
32
0
28 Sep 2021
CLIPort: What and Where Pathways for Robotic Manipulation
CLIPort: What and Where Pathways for Robotic ManipulationConference on Robot Learning (CoRL), 2021
Mohit Shridhar
Lucas Manuelli
Dieter Fox
LM&Ro
336
819
0
24 Sep 2021
Physics Driven Domain Specific Transporter Framework with Attention
  Mechanism for Ultrasound Imaging
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
Arpan Tripathi
A. Rakkunedeth
Mahesh Raveendranatha Panicker
Jack Zhang
Naveenjyote Boora
Jessica Knight
Jacob L. Jaremko
Yale Tung Chen
K. Narayan
C. Kesavadas
OODMedIm
183
0
0
13 Sep 2021
Vision-based system identification and 3D keypoint discovery using
  dynamics constraints
Vision-based system identification and 3D keypoint discovery using dynamics constraints
Miguel Jaques
Martin Asenov
Michael G. Burke
Timothy M. Hospedales
154
5
0
13 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical PrecipiceNeural Information Processing Systems (NeurIPS), 2021
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
521
797
0
30 Aug 2021
Reasoning-Modulated Representations
Reasoning-Modulated RepresentationsLOG IN (LOG IN), 2021
Petar Velivcković
Matko Bovsnjak
Thomas Kipf
Alexander Lerchner
R. Hadsell
Razvan Pascanu
Charles Blundell
OCLOODSSL
301
16
0
19 Jul 2021
Structured World Belief for Reinforcement Learning in POMDP
Structured World Belief for Reinforcement Learning in POMDPInternational Conference on Machine Learning (ICML), 2021
Gautam Singh
Skand Peri
Junghyun Kim
Hyunseok Kim
Sungjin Ahn
OCL
232
33
0
19 Jul 2021
DeformerNet: A Deep Learning Approach to 3D Deformable Object
  Manipulation
DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation
Bao Thach
Alan Kuntz
Tucker Hermans
3DPC
104
8
0
16 Jul 2021
3D Neural Scene Representations for Visuomotor Control
3D Neural Scene Representations for Visuomotor ControlConference on Robot Learning (CoRL), 2021
Yunzhu Li
Shuang Li
Vincent Sitzmann
Pulkit Agrawal
Antonio Torralba
304
155
0
08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning
RRL: Resnet as representation for Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Rutav Shah
Vikash Kumar
OffRL
385
123
0
07 Jul 2021
Test-Time Personalization with a Transformer for Human Pose Estimation
Test-Time Personalization with a Transformer for Human Pose Estimation
Yizhuo Li
Miao Hao
Zonglin Di
N. B. Gundavarapu
Xiaolong Wang
ViT
314
55
0
05 Jul 2021
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