4 citations · 4 across the 4 of their papers we have counts for
5 papers
PermVLA: Factorization Order as a Regularizer for VLA Learning
Yanqiao Chen, Yuhan Rui, Dongsheng Hou +3
Vision-language-action (VLA) policies commonly learn action chunks through a fixed left-to-right (LTR) factorization, although the same expert trajectory distribution admits many v…
From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection
Yuhan Rui, Shihan Qiao, Yibin Lou +7
Efficient small object detection is bottlenecked by the inherent feature scarcity of tiny targets, which is further aggravated by operations of spatial-domain detectors that indisc…
SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous Driving
Gongjin Lan, Yang Peng, Qi Hao +1
Autonomous driving significantly benefits from data-driven deep neural networks. However, the data in autonomous driving typically fits the long-tailed distribution, in which the c…
DIR-BHRNet: A Lightweight Network for Real-time Vision-based Multi-person Pose Estimation on Smartphones
Gongjin Lan, Yu Wu, Qi Hao
Human pose estimation (HPE), particularly multi-person pose estimation (MPPE), has been applied in many domains such as human-machine systems. However, the current MPPE methods gen…
End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023
Gongjin Lan, Qi Hao
This paper aims to provide a quick review of the methods including the technologies in detail that are currently reported in industry and academia. Specifically, this paper reviews…