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Tianxiang Hou

2 accepted papers

2023

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration

ICRA 2023poster

In autonomous robot exploration tasks, a mobile robot needs to actively explore and map an unknown environment as fast as possible. Since the environment is being revealed during exploration, the robot needs to frequently re-plan its path online, as new information is acquired by onboard sensors and…

Cited by 34SourceScholar
2023

ERBNet: An Effective Representation Based Network for Unbiased Scene Graph Generation

ICASSP 2023accepted

The scene graph generation (SGG) task has attracted increasing attention in recent years. The goal of SGG is to predict relations between pairs of objects within an image. Due to the long-tailed distribution of the dataset annotations, the performance of SGG is still far from satisfactory. To addres…

Cited by 0SourceScholar