no code implementations • 5 Feb 2025 • Xiaoshuai Hao, Yunfeng Diao, Mengchuan Wei, Yifan Yang, Peng Hao, Rong Yin, HUI ZHANG, Weiming Li, Shu Zhao, Yu Liu
To address these issues, we propose MapFusion, a novel multi-modal Bird's-Eye View (BEV) feature fusion method for map construction.
no code implementations • 22 Jan 2025 • Jinhui Pang, Jinglin He, Noureldin Mohamed Abdelaal Ahmed Mohamed, Changqing Lin, Zhihui Zhang, Xiaoshuai Hao
The bottom level generates precise action commands for the high-dimensional action space.
no code implementations • 2 Jan 2025 • Xiaoshuai Hao, Guanqun Liu, YuTing Zhao, Yuheng Ji, Mengchuan Wei, Haimei Zhao, Lingdong Kong, Rong Yin, Yu Liu
Multi-sensor fusion models play a crucial role in autonomous driving perception, particularly in tasks like 3D object detection and HD map construction.
1 code implementation • 27 Dec 2024 • Shu Zhao, Tan Yu, Xiaoshuai Hao, Wenchao Ma, Vijaykrishnan Narayanan
Deep hashing has been widely used for large-scale approximate nearest neighbor search due to its storage and search efficiency.
no code implementations • 18 Dec 2024 • Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Xingrui Zhou, Yong liu, Can Ma, Weiping Wang
By utilizing low-rank and sparse parameters along with compression techniques, CEFGL significantly reduces communication complexity.
1 code implementation • 26 Nov 2024 • Hanning Yuan, Zhihui Zhang, Qi Guo, Lianhua Chi, Sijie Ruan, Jinhui Pang, Xiaoshuai Hao
Specifically, to reduce the impact of unreliable cross-views, we introduce an innovative Best-Other (B-O) contrastive mechanism that enhances the representation of individual views at a low computational cost.
no code implementations • 7 Nov 2024 • Zhihui Zhang, Jinhui Pang, Jianan Li, Xiaoshuai Hao
Besides, we perform a random shuffle strategy for the sequential inputs of LR images to attenuate temporal dependencies and capture weak temporal correlations in the training stage.
1 code implementation • 28 Jul 2024 • Jinhui Pang, Changqing Lin, Xiaoshuai Hao, Rong Yin, Zixuan Wang, Zhihui Zhang, Jinglin He, Huang Tai Sheng
Specifically, from an overall perspective to maximize the utilization of the entire graph data, we propose a highly complementary approach including both feature and global topological information, which can significantly improve the effectiveness of the sampled nodes.
no code implementations • 26 Jul 2024 • Peng Hao, Xiaobing Wang, Yingying Jiang, Hanchao Jia, Xiaoshuai Hao
To address this limitation, we propose a novel bidirectional conditioning factorization in a semantic-aligned space for SGG, enabling efficient and generalizable interaction between entities and predicates.
no code implementations • 16 Jul 2024 • Xiaoshuai Hao, Ruikai Li, HUI ZHANG, Dingzhe Li, Rong Yin, Sangil Jung, Seung-In Park, ByungIn Yoo, Haimei Zhao, Jing Zhang
To address this, we employ the Knowledge Distillation (KD) idea for efficient HD map construction for the first time and introduce a novel KD-based approach called MapDistill to transfer knowledge from a high-performance camera-LiDAR fusion model to a lightweight camera-only model.
no code implementations • 18 Jun 2024 • Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, HUI ZHANG, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang
These insights provide a pathway for developing more reliable HD map construction methods, which are essential for the advancement of autonomous driving technology.
no code implementations • 17 May 2024 • Xiaoshuai Hao, Yifan Yang, HUI ZHANG, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang
In this report, we describe the technical details of our submission to the 2024 RoboDrive Challenge Robust Map Segmentation Track.
no code implementations • 14 May 2024 • Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingxing Wei, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, HUI ZHANG, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, YuBo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu
In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles.
no code implementations • 20 Mar 2024 • Yamin Mao, Zhihua Liu, Weiming Li, SoonYong Cho, Qiang Wang, Xiaoshuai Hao
Recently, dense regression methods have attracted increasing attention in 3D hand pose estimation task, which provide a low computational burden and high accuracy regression way by densely regressing hand joint offset maps.
no code implementations • 15 Jun 2023 • Yuqi Li, Yizhi Luo, Xiaoshuai Hao, Chuanguang Yang, Zhulin An, Dantong Song, Wei Yi
In this report, we describe the technical details of our submission to the EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023, by Team "AcieLee" (username: Yuqi\_Li).
no code implementations • CVPR 2023 • Xiaoshuai Hao, Wanqian Zhang, Dayan Wu, Fei Zhu, Bo Li
To tackle this, we propose a novel method named Dual Alignment Domain Adaptation (DADA).
1 code implementation • 16 Jun 2022 • Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
Data augmentation is a necessity to enhance data efficiency in deep learning.
1 code implementation • 3 Aug 2020 • Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shi-Zhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao
This report summarizes the results of the first edition of the challenge together with the findings of the participants.