Search Results for author: Liang Xie

Found 11 papers, 4 papers with code

Neural Collapse Inspired Federated Learning with Non-iid Data

no code implementations27 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.

Federated Learning

Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes

1 code implementation9 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.

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

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.

3D Object Detection Data Augmentation +3

X-view: Non-egocentric Multi-View 3D Object Detector

no code implementations24 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.

3D Object Detection Autonomous Driving +2

PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module

no code implementations14 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.

3D Object Detection Image Segmentation +2

Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval

no code implementations25 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).

Content-Based Image Retrieval Retrieval

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