570 citations · 699 across the 24 of their papers we have counts for
9 papers · 1 filter
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang +4
Recent work in computer vision and cognitive reasoning has given rise to an increasing adoption of the Violation-of-Expectation (VoE) paradigm in synthetic datasets. Inspired by in…
Improving Learning from Demonstrations by Learning from Experience
Haofeng Liu, Yiwen Chen, Jiayi Tan +1
How to make imitation learning more general when demonstrations are relatively limited has been a persistent problem in reinforcement learning (RL). Poor demonstrations lead to nar…
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition
Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang +1
Recent work in cognitive reasoning and computer vision has engendered an increasing popularity for the Violation-of-Expectation (VoE) paradigm in synthetic datasets. Inspired by wo…
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang, Shiwei Zhang, Liang Pan +4
Spatial convolutions are widely used in numerous deep video models. It fundamentally assumes spatio-temporal invariance, i.e., using shared weights for every location in different…
Voxel-based Network for Shape Completion by Leveraging Edge Generation
Xiaogang Wang, Marcelo H Ang, Gim Hee Lee
Deep learning technique has yielded significant improvements in point cloud completion with the aim of completing missing object shapes from partial inputs. However, most existing…
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
Zhiwu Qing, Ziyuan Huang, Shiwei Zhang +5
The central idea of contrastive learning is to discriminate between different instances and force different views from the same instance to share the same representation. To avoid…