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Deep Object-Centric Policies for Autonomous Driving
v1v2 (latest)

Deep Object-Centric Policies for Autonomous Driving

13 November 2018
Yi Xu
Coline Devin
Qi-Zhi Cai
Feng Yu
Trevor Darrell
    OCL
ArXiv (abs)PDFHTML

Papers citing "Deep Object-Centric Policies for Autonomous Driving"

50 / 59 papers shown
Improving Robotic Manipulation with Efficient Geometry-Aware Vision Encoder
Improving Robotic Manipulation with Efficient Geometry-Aware Vision Encoder
An Vuong
M. Vu
Ian Reid
144
0
0
19 Sep 2025
Interpretable Decision-Making for End-to-End Autonomous Driving
Interpretable Decision-Making for End-to-End Autonomous Driving
Mona Mirzaie
Bodo Rosenhahn
216
1
0
26 Aug 2025
ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models
ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models
Puhao Li
Yingying Wu
Ziheng Xi
Wanlin Li
Yuzhe Huang
...
Yinghan Chen
Jianan Wang
Song-Chun Zhu
Tengyu Liu
Siyuan Huang
LM&Ro
196
18
0
19 Jun 2025
Diffusion-SAFE: Shared Autonomy Framework with Diffusion for Safe Human-to-Robot Driving Handover
Yunxin Fan
Monroe Kennedy III
139
0
0
15 May 2025
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2024
Cheng-Chun Hsu
Bowen Wen
Jie Xu
Yashraj S. Narang
Xiaolong Wang
Yuke Zhu
Joydeep Biswas
Stan Birchfield
DiffM
456
24
0
01 Nov 2024
Language-Guided Object-Centric Diffusion Policy for Generalizable and Collision-Aware Robotic Manipulation
Language-Guided Object-Centric Diffusion Policy for Generalizable and Collision-Aware Robotic Manipulation
Hang Li
Qian Feng
Zhi Zheng
Jianxiang Feng
Zhaopeng Chen
Alois Knoll
440
0
0
29 Jun 2024
Vision-based Manipulation from Single Human Video with Open-World Object Graphs
Vision-based Manipulation from Single Human Video with Open-World Object Graphs
Yifeng Zhu
Arisrei Lim
Peter Stone
Yuke Zhu
384
50
0
30 May 2024
Composing Pre-Trained Object-Centric Representations for Robotics From
  "What" and "Where" Foundation Models
Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models
Junyao Shi
Jianing Qian
Yecheng Jason Ma
Dinesh Jayaraman
OCL
272
14
0
20 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
593
10
0
18 Mar 2024
Improving Explainable Object-induced Model through Uncertainty for
  Automated Vehicles
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles
Shihong Ling
Yue Wan
Xiaowei Jia
Na Du
178
4
0
23 Feb 2024
Object-Centric Instruction Augmentation for Robotic Manipulation
Object-Centric Instruction Augmentation for Robotic Manipulation
Junjie Wen
Yichen Zhu
Minjie Zhu
Jinming Li
Zhiyuan Xu
...
Yaxin Peng
Chaomin Shen
Dong Liu
Feifei Feng
Jian Tang
LM&Ro
346
23
0
05 Jan 2024
Generalizable Imitation Learning Through Pre-Trained Representations
Generalizable Imitation Learning Through Pre-Trained RepresentationsIEEE International Conference on Robotics and Automation (ICRA), 2023
Wei-Di Chang
F. Hogan
David Meger
Gregory Dudek
Gregory Dudek
329
3
0
15 Nov 2023
DRUformer: Enhancing the driving scene Important object detection with
  driving relationship self-understanding
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding
Yingjie Niu
Ming Ding
Keisuke Fujii
Kento Ohtani
Alexander Carballo
K. Takeda
ViT
188
0
0
11 Nov 2023
Depth-guided Free-space Segmentation for a Mobile Robot
Depth-guided Free-space Segmentation for a Mobile Robot
Christos Sevastopoulos
Joey Hussain
S. Konstantopoulos
V. Karkaletsis
F. Makedon
MDE
176
1
0
03 Nov 2023
Driving through the Concept Gridlock: Unraveling Explainability
  Bottlenecks in Automated Driving
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated DrivingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
J. Echterhoff
An Yan
Kyungtae Han
Lingxi Li
Rohit Gupta
Julian McAuley
236
11
0
25 Oct 2023
Learning Generalizable Manipulation Policies with Object-Centric 3D
  Representations
Learning Generalizable Manipulation Policies with Object-Centric 3D RepresentationsConference on Robot Learning (CoRL), 2023
Yifeng Zhu
Zhenyu Jiang
Peter Stone
Yuke Zhu
3DPC
254
65
0
22 Oct 2023
End-to-end Autonomous Driving: Challenges and Frontiers
End-to-end Autonomous Driving: Challenges and FrontiersIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Guoying Gu
3DV
368
578
0
29 Jun 2023
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive
  Learning
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Chihiro Noguchi
Toshihiro Tanizawa
SSL
163
13
0
02 Mar 2023
Learning Road Scene-level Representations via Semantic Region Prediction
Learning Road Scene-level Representations via Semantic Region PredictionConference on Robot Learning (CoRL), 2023
Zihao Xiao
Alan Yuille
Yi-Ting Chen
296
2
0
02 Jan 2023
PlanT: Explainable Planning Transformers via Object-Level
  Representations
PlanT: Explainable Planning Transformers via Object-Level RepresentationsConference on Robot Learning (CoRL), 2022
Katrin Renz
Kashyap Chitta
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
Andreas Geiger
ViT
270
128
0
25 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
258
190
0
20 Oct 2022
DRAMA: Joint Risk Localization and Captioning in Driving
DRAMA: Joint Risk Localization and Captioning in DrivingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Srikanth Malla
Chiho Choi
Isht Dwivedi
Joonhyang Choi
Jiachen Li
314
145
0
22 Sep 2022
Grounding Visual Representations with Texts for Domain Generalization
Grounding Visual Representations with Texts for Domain GeneralizationEuropean Conference on Computer Vision (ECCV), 2022
Seonwoo Min
Nokyung Park
Siwon Kim
Seunghyun Park
Jinkyu Kim
OOD
211
40
0
21 Jul 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
239
22
0
12 May 2022
Concept Bottleneck Model with Additional Unsupervised Concepts
Concept Bottleneck Model with Additional Unsupervised ConceptsIEEE Access (IEEE Access), 2022
Yoshihide Sawada
Keigo Nakamura
SSL
176
89
0
03 Feb 2022
Adversarial Mixture Density Networks: Learning to Drive Safely from
  Collision Data
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision DataInternational Conference on Intelligent Transportation Systems (ITSC), 2021
Sampo Kuutti
Saber Fallah
Richard Bowden
GAN
174
4
0
09 Jul 2021
DROID: Driver-centric Risk Object Identification
DROID: Driver-centric Risk Object Identification
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
307
10
0
24 Jun 2021
Automatic Curricula via Expert Demonstrations
Automatic Curricula via Expert Demonstrations
Siyu Dai
Andreas G. Hofmann
B. Williams
204
6
0
16 Jun 2021
Learning by Watching
Learning by WatchingComputer Vision and Pattern Recognition (CVPR), 2021
Jimuyang Zhang
Eshed Ohn-Bar
EgoV
175
36
0
10 Jun 2021
Contrastive Domain Adaptation
Contrastive Domain Adaptation
Mamatha Thota
Georgios Leontidis
SSL
215
72
0
26 Mar 2021
n-hot: Efficient bit-level sparsity for powers-of-two neural network
  quantization
n-hot: Efficient bit-level sparsity for powers-of-two neural network quantization
Yuiko Sakuma
Hiroshi Sumihiro
Jun Nishikawa
Toshiki Nakamura
Ryoji Ikegaya
MQ
159
4
0
22 Mar 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving
  via Virtual Safety Cages
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety CagesItalian National Conference on Sensors (INS), 2021
Sampo Kuutti
Richard Bowden
Saber Fallah
153
14
0
17 Mar 2021
Instance-Aware Predictive Navigation in Multi-Agent Environments
Instance-Aware Predictive Navigation in Multi-Agent EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2021
Jinkun Cao
Xin Wang
Trevor Darrell
Feng Yu
130
8
0
14 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challengesInternational Journal of Computer Vision (IJCV), 2021
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
480
205
0
13 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
305
195
0
06 Jan 2021
Computer Stereo Vision for Autonomous Driving
Computer Stereo Vision for Autonomous Driving
Rui Fan
Li Wang
M. J. Bocus
Ioannis Pitas
3DV
344
35
0
06 Dec 2020
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal
  Graph Convolutional Networks
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional NetworksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Videsh Suman
Phu-Cuong Pham
Aniket Bera
GNN
349
4
0
17 Nov 2020
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and
  Sequence-based Place Recognition
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
Marvin Chancán
Michael Milford
ViT
258
20
0
17 Nov 2020
Refactoring Policy for Compositional Generalizability using
  Self-Supervised Object Proposals
Refactoring Policy for Compositional Generalizability using Self-Supervised Object ProposalsNeural Information Processing Systems (NeurIPS), 2020
Tongzhou Mu
Jiayuan Gu
Zhiwei Jia
Hao Tang
Hao Su
164
13
0
26 Oct 2020
Learning Accurate and Human-Like Driving using Semantic Maps and
  Attention
Learning Accurate and Human-Like Driving using Semantic Maps and AttentionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Simon Hecker
Dengxin Dai
Alexander Liniger
Luc Van Gool
161
24
0
10 Jul 2020
Label Efficient Visual Abstractions for Autonomous Driving
Label Efficient Visual Abstractions for Autonomous Driving
Aseem Behl
Kashyap Chitta
Aditya Prakash
Eshed Ohn-Bar
Andreas Geiger
248
41
0
20 May 2020
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end
  Autonomous Driving with Scene Understanding
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
Zhiyu Huang
Chen Lv
Yang Xing
Jingda Wu
280
155
0
19 May 2020
Understanding Dynamic Scenes using Graph Convolution Networks
Understanding Dynamic Scenes using Graph Convolution Networks
Sravan Mylavarapu
Mahtab Sandhu
Priyesh Vijayan
K. M. Krishna
Balaraman Ravindran
A. Namboodiri
234
32
0
09 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim
Mayank Bansal
152
15
0
08 May 2020
Explainable Object-induced Action Decision for Autonomous Vehicles
Explainable Object-induced Action Decision for Autonomous VehiclesComputer Vision and Pattern Recognition (CVPR), 2020
Yiran Xu
Xiaoyin Yang
Lihang Gong
Hsuan-Chu Lin
Tz-Ying Wu
Yunsheng Li
Nuno Vasconcelos
184
136
0
20 Mar 2020
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep
  Neural Networks
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks
Alice Plebe
M. Lio
151
2
0
09 Mar 2020
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk
  Object Identification via Causal Inference
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal InferenceIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
CML
253
56
0
05 Mar 2020
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food
  Packaging
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
Mamatha Thota
Stefanos D. Kollias
M. Swainson
Georgios Leontidis
173
4
0
28 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
260
621
0
23 Dec 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning
Entity Abstraction in Visual Model-Based Reinforcement LearningConference on Robot Learning (CoRL), 2019
Rishi Veerapaneni
John D. Co-Reyes
Michael Chang
Michael Janner
Chelsea Finn
Jiajun Wu
J. Tenenbaum
Sergey Levine
OCLOffRL
433
198
0
28 Oct 2019
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