30 citations · 206 across the 67 of their papers we have counts for
5 papers · 1 filter
Semi-supervised Implicit Scene Completion from Sparse LiDAR
Pengfei Li, Yongliang Shi, Tianyu Liu +3
Recent advances show that semi-supervised implicit representation learning can be achieved through physical constraints like Eikonal equations. However, this scheme has not yet bee…
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
Xiaoxue Chen, Tianyu Liu, Hao Zhao +2
Multi-task indoor scene understanding is widely considered as an intriguing formulation, as the affinity of different tasks may lead to improved performance. In this paper, we tack…
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
Jin Li, Xianyuan Zhan, Zixu Xiao +1
End-to-end learning robotic manipulation with high data efficiency is one of the key challenges in robotics. The latest methods that utilize human demonstration data and unsupervis…
A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving
Guan Wang, Haoyi Niu, Desheng Zhu +3
Heated debates continue over the best autonomous driving framework. The classic modular pipeline is widely adopted in the industry owing to its great interpretability and stability…
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
Xiaoxue Chen, Hao Zhao, Guyue Zhou +1
3D scene understanding from point clouds plays a vital role for various robotic applications. Unfortunately, current state-of-the-art methods use separate neural networks for diffe…