no code implementations • 18 Mar 2024 • Thien-Minh Nguyen, Shenghai Yuan, Thien Hoang Nguyen, Pengyu Yin, Haozhi Cao, Lihua Xie, Maciej Wozniak, Patric Jensfelt, Marko Thiel, Justin Ziegenbein, Noel Blunder
Perception plays a crucial role in various robot applications.
no code implementations • 17 Mar 2024 • Tianchen Deng, Yaohui Chen, Leyan Zhang, Jianfei Yang, Shenghai Yuan, Danwei Wang, Weidong Chen
Recent work has shown that 3D Gaussian-based SLAM enables high-quality reconstruction, accurate pose estimation, and real-time rendering of scenes.
no code implementations • 11 Mar 2024 • Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Lihua Xie
Multi-modal test-time adaptation (MM-TTA) is proposed to adapt models to an unlabeled target domain by leveraging the complementary multi-modal inputs in an online manner.
no code implementations • 10 Mar 2024 • Jianping Li, Thien-Minh Nguyen, Shenghai Yuan, Lihua Xie
The proposed method consists of a spatial smoothing module and a pose adjustment module, which combines the benefits of local consistency and global accuracy.
no code implementations • 8 Feb 2024 • Qiuhao Li, Shenghai Yuan
The enhanced dataset, named the Jacquard V2 Grasping Dataset, served as the training data for a range of neural networks.
1 code implementation • 6 Feb 2024 • Shenghai Yuan, Yizhuo Yang, Thien Hoang Nguyen, Thien-Minh Nguyen, Jianfei Yang, Fen Liu, Jianping Li, Han Wang, Lihua Xie
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which possess the potential to transport harmful payloads or independently cause damage, we introduce MMAUD: a comprehensive Multi-Modal Anti-UAV Dataset.
no code implementations • 21 Sep 2023 • Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie
In this work, we propose Multi-modal Prior Aided (MoPA) domain adaptation to improve the performance of rare objects.
1 code implementation • NeurIPS 2023 • Jianfei Yang, He Huang, Yunjiao Zhou, Xinyan Chen, Yuecong Xu, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie
Extensive experiments have been conducted to compare the sensing capacity of each or several modalities in terms of multiple tasks.
no code implementations • ICCV 2023 • Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie
In this paper, we explore Multi-Modal Continual Test-Time Adaptation (MM-CTTA) as a new extension of CTTA for 3D semantic segmentation.
1 code implementation • 30 Aug 2022 • Lang Deng, Jianfei Yang, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie
As an important biomarker for human identification, human gait can be collected at a distance by passive sensors without subject cooperation, which plays an essential role in crime prevention, security detection and other human identification applications.
no code implementations • 2 Feb 2021 • Yang Lyu, Muqing Cao, Shenghai Yuan, Lihua Xie
Unmanned Aerial Vehicle (UAV) has already demonstrated its potential in many civilian applications, and the fa\c{c}ade inspection is among the most promising ones.
Pose Estimation Robotics Systems and Control Systems and Control
no code implementations • 23 Oct 2020 • Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie
However, some issues such as estimation drift and feature-dependence still remain inherent limitations.
Robotics Systems and Control Systems and Control
1 code implementation • Sensors 2018 • Keyu Wu, Mahdi Abolfazli Esfahani, Shenghai Yuan, Han Wang
It is worth noting that the developed system is readily transferable from virtual training scenarios to real-world deployment without any fine-tuning by utilizing depth images.