activity
20182022
most citedPolSF: PolSAR image dataset on San Francisco

18 citations · 23 across the 6 of their papers we have counts for

collaborators

9 papers

cs.RO2022

Experiments in Adaptive Replanning for Fast Autonomous Flight in Forests

Laura Jarin-Lipschitz, Xu Liu, Yuezhan Tao +1

Fast, autonomous flight in unstructured, cluttered environments such as forests is challenging because it requires the robot to compute new plans in realtime on a computationally-c…

cs.RO20224 cited

ApolloRL: a Reinforcement Learning Platform for Autonomous Driving

Fei Gao, Peng Geng, Jiaqi Guo +7

We introduce ApolloRL, an open platform for research in reinforcement learning for autonomous driving. The platform provides a complete closed-loop pipeline with training, simulati…

eess.SP2021

Optical Adaptive LMS Equalizer with an Opto-electronic Feedback Loop

Xumeng Liu, Xingyuan Xu, Arthur James Lowery

We propose a photonic adaptive Least-Mean-Squares equalizer with an opto-electronic feedback loop to determine the updating of an optical Finite-Impulse-Response filter's weights,…

cs.CV2020

Place Recognition in Forests with Urquhart Tessellations

Guilherme V. Nardari, Avraham Cohen, Steven W. Chen +4

In this letter, we present a novel descriptor based on Urquhart tessellations derived from the position of trees in a forest. We propose a framework that uses these descriptors to…

cs.CL20201 cited

Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding

Jun Qi, Xu Liu, Javier Tejedor

This paper proposes to generalize the variational recurrent neural network (RNN) with variational inference (VI)-based dropout regularization employed for the long short-term memor…

eess.IV201918 cited

PolSF: PolSAR image dataset on San Francisco

Xu Liu, Licheng Jiao, Fang Liu

Polarimetric SAR data has the characteristics of all-weather, all-time and so on, which is widely used in many fields. However, the data of annotation is relatively small, which is…