7 citations · 15 across the 4 of their papers we have counts for
6 papers
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Jiafei Duan, Arijit Dasgupta, Jason Fischer +1
Research in cognitive science has provided extensive evidence of human cognitive ability in performing physical reasoning of objects from noisy perceptual inputs. Such a cognitive…
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments
Jiafei Duan, Samson Yu Bai Jian, Cheston Tan
Recent advancements in deep learning, computer vision, and embodied AI have given rise to synthetic causal reasoning video datasets. These datasets facilitate the development of AI…
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment
Jiafei Duan, Samson Yu, Hui Li Tan +1
The problem of task planning for artificial agents remains largely unsolved. While there has been increasing interest in data-driven approaches for the study of task planning for a…
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
Tianying Wang, Hao Zhang, Wei Qi Toh +5
Learning-based methods have been used to pro-gram robotic tasks in recent years. However, extensive training is usually required not only for the initial task learning but also for…
6D Pose Estimation with Correlation Fusion
Yi Cheng, Hongyuan Zhu, Ying Sun +6
6D object pose estimation is widely applied in robotic tasks such as grasping and manipulation. Prior methods using RGB-only images are vulnerable to heavy occlusion and poor illum…
An End-to-End Network for Generating Social Relationship Graphs
Arushi Goel, Keng Teck Ma, Cheston Tan
Socially-intelligent agents are of growing interest in artificial intelligence. To this end, we need systems that can understand social relationships in diverse social contexts. In…