Computer Vision and Pattern Recognition · Computer Science
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis Argyros +2
2020-03-18
Computer Vision and Pattern Recognition · Computer Science
Image Captioning with Object Detection and Localization
Zhongliang Yang, Yu-Jin Zhang, Sadaqat ur Rehman, Yongfeng Huang
2017-06-09
Computation and Language · Computer Science
Automating Knowledge Acquisition for Content-Centric Cognitive Agents Using LLMs
Sanjay Oruganti, Sergei Nirenburg, Jesse English, Marjorie McShane
2023-12-29
Computer Vision and Pattern Recognition · Computer Science
Model Adaption Object Detection System for Robot
Jingwen Fu, Licheng Zong, Yinbing Li, Ke Li +2
2019-11-21
Artificial Intelligence · Computer Science
Learning from the experts: From expert systems to machine-learned diagnosis models
Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain
2018-08-15
Computer Vision and Pattern Recognition · Computer Science
Learning 3D object-centric representation through prediction
John Day, Tushar Arora, Jirui Liu, Li Erran Li +1
2024-03-07
Artificial Intelligence · Computer Science
Planning for Learning Object Properties
Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti +3
2023-01-18
Computer Vision and Pattern Recognition · Computer Science
Object-centric Forward Modeling for Model Predictive Control
Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani
2019-10-09
Robotics · Computer Science
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
Jianhua Sun, Yuxuan Li, Longfei Xu, Jiude Wei +2
2024-09-19
Artificial Intelligence · Computer Science
Deep Object-Centric Policies for Autonomous Driving
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu +1
2019-03-04
Robotics · Computer Science
Deep Object-Centric Representations for Generalizable Robot Learning
Coline Devin, Pieter Abbeel, Trevor Darrell, Sergey Levine
2017-09-27
Computer Vision and Pattern Recognition · Computer Science
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng, Ali Harakeh, Steven Waslander, Klaus Dietmayer
2021-07-13
Machine Learning · Computer Science
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
Goutham Rajendran, Simon Buchholz, Bryon Aragam, Bernhard Schölkopf +1
2024-12-10