570 citations · 699 across the 24 of their papers we have counts for
24 papers
HandCept: A Visual-Inertial Fusion Framework for Accurate Proprioception in Dexterous Hands
Huang Junda, Honghao Guo, Hao Wu +3
As robotics progresses toward general manipulation, dexterous hands are becoming increasingly critical. However, proprioception in dexterous hands remains a bottleneck due to limit…
GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated Prediction and Planning
Jiawei Sun, Chengran Yuan, Shuo Sun +5
Accurately predicting interactive road agents' future trajectories and planning a socially compliant and human-like trajectory accordingly are important for autonomous vehicles. In…
Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering
Jay Karhade, Haiyue Zhu, Ka-Shing Chung +3
We present a neural point cloud rendering pipeline through a novel multi-frequency-aware patch adversarial learning framework. The proposed approach aims to improve the rendering r…
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…