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What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots
29 January 2016
Chengxi Ye
Yezhou Yang
Cornelia Fermuller
Yiannis Aloimonos
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Papers citing
"What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots"
18 / 18 papers shown
Leverage Task Context for Object Affordance Ranking
Haojie Huang
Hongchen Luo
Wei-dong Zhai
Yang Cao
Zheng-jun Zha
354
1
0
25 Nov 2024
Open-Vocabulary Affordance Detection in 3D Point Clouds
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Toan Ngyen
Minh Nhat Vu
Annalies Vuong
Dzung Nguyen
T. Vo
Ngan Le
A. Nguyen
3DPC
489
50
0
04 Mar 2023
LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR
IEEE International Conference on Robotics and Automation (ICRA), 2023
Pengfei Li
Ruowen Zhao
Yongliang Shi
Hao Zhao
Jirui Yuan
Guyue Zhou
Ya Zhang
234
34
0
27 Feb 2023
End-to-End Affordance Learning for Robotic Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2022
Yiran Geng
Boshi An
Haoran Geng
Yuanpei Chen
Yaodong Yang
Hao Dong
407
99
0
26 Sep 2022
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
Bo Miao
Liguang Zhou
Lin Wang
Tin Lun Lam
Yangsheng Xu
174
31
0
01 Aug 2021
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
Liguang Zhou
Jun Cen
Xingchao Wang
Zhenglong Sun
Tin Lun Lam
Yangsheng Xu
158
22
0
01 Aug 2021
Building Affordance Relations for Robotic Agents - A Review
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Paola Ardón
Éric Pairet
Katrin S. Lohan
S. Ramamoorthy
Ronald P. A. Petrick
215
20
0
14 May 2021
Affordances in Robotic Tasks -- A Survey
Paola Ardón
Éric Pairet
Katrin S. Lohan
S. Ramamoorthy
Ronald P. A. Petrick
262
51
0
15 Apr 2020
Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Chen Jiang
Masood Dehghan
Martin Jägersand
LM&Ro
266
10
0
02 Mar 2020
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering (CMLKE), 2019
Filippos Gouidis
Alexandros Vassiliades
Theodore Patkos
Antonis Argyros
Nick Bassiliades
Dimitris Plexousakis
OCL
231
13
0
26 Dec 2019
Is That a Chair? Imagining Affordances Using Simulations of an Articulated Human Body
IEEE International Conference on Robotics and Automation (ICRA), 2019
Hongtao Wu
Deven Misra
Gregory Chirikjian
LM&Ro
211
13
0
17 Sep 2019
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks
Chen Jiang
Martin Jägersand
242
4
0
16 Sep 2019
Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning
Martin Hjelm
Carl Henrik Ek
Renaud Detry
Danica Kragic
109
1
0
30 Jan 2019
What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection
Eduardo Ruiz
W. Mayol-Cuevas
3DPC
159
2
0
03 Dec 2018
Visual Affordance and Function Understanding: A Survey
ACM Computing Surveys (CSUR), 2018
Mohammed Hassanin
Salman Khan
M. Tahtali
247
62
0
18 Jul 2018
A Survey on Deep Learning Methods for Robot Vision
Javier Ruiz-del-Solar
P. Loncomilla
Naiomi Soto
215
66
0
28 Mar 2018
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
Muzammal Naseer
Salman H Khan
Fatih Porikli
3DPC
3DV
244
112
0
09 Mar 2018
Learning to Label Affordances from Simulated and Real Data
Timo Lüddecke
Florentin Wörgötter
134
2
0
26 Sep 2017
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