no code implementations • 25 Apr 2019 • Lei Zhu, Zi Huang, Zhihui Li, Liang Xie, Heng Tao Shen
To address the problem, in this paper, we propose a novel hashing approach, dubbed as \emph{Discrete Semantic Transfer Hashing} (DSTH).
no code implementations • 14 Nov 2019 • Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He
Moreover, based on the PACF module, we propose a 3D multi-sensor multi-task network called Pointcloud-Image RCNN(PI-RCNN as brief), which handles the image segmentation and 3D object detection tasks.
1 code implementation • 19 Jan 2020 • Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang
Previous database systems extended their SQL dialect to support ML.
no code implementations • 1 Apr 2020 • Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai
3D object detection based on point clouds has become more and more popular.
no code implementations • 24 Mar 2021 • Liang Xie, Guodong Xu, Deng Cai, Xiaofei He
3D object detection algorithms for autonomous driving reason about 3D obstacles either from 3D birds-eye view or perspective view or both.
1 code implementation • 17 Mar 2022 • Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, DaCheng Tao
Modern deep neural networks for classification usually jointly learn a backbone for representation and a linear classifier to output the logit of each class.
Ranked #26 on Long-tail Learning on CIFAR-10-LT (ρ=100)
1 code implementation • CVPR 2022 • Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai
Many multi-modal methods are proposed to alleviate this issue, while different representations of images and point clouds make it difficult to fuse them, resulting in suboptimal performance.
no code implementations • 19 Apr 2022 • Liang Xie, Yibo Yang, Deng Cai, Xiaofei He
Class imbalance distribution widely exists in real-world engineering.
1 code implementation • 9 May 2022 • Liang Xie, Hongxiang Yu, Kechun Xu, Tong Yang, Minhang Wang, Haojian Lu, Rong Xiong, Yue Wang
This paper proposes a learning-based visual peg-in-hole that enables training with several shapes in simulation, and adapting to arbitrary unseen shapes in real world with minimal sim-to-real cost.
no code implementations • 20 Feb 2023 • Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He, Ronghua Liang
Compared to 2D images, 3D point clouds are much more sensitive to rotations.
no code implementations • 27 Mar 2023 • Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai
One of the challenges in federated learning is the non-independent and identically distributed (non-iid) characteristics between heterogeneous devices, which cause significant differences in local updates and affect the performance of the central server.
1 code implementation • ICCV 2023 • Yibo Cui, Liang Xie, Yakun Zhang, Meishan Zhang, Ye Yan, Erwei Yin
To address this problem, we propose a novel Grounded Entity-Landmark Adaptive (GELA) pre-training paradigm for VLN tasks.
no code implementations • 24 Mar 2024 • Linzhi Wu, Xingyu Zhang, Yakun Zhang, Changyan Zheng, Tiejun Liu, Liang Xie, Ye Yan, Erwei Yin
Lip reading, the process of interpreting silent speech from visual lip movements, has gained rising attention for its wide range of realistic applications.