activity
20192025
most citedConditional Gaussian Distribution Learning for Open Set Recognition

37 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Tianchen Deng, Guole Shen, Xun Chen +9

Neural implicit scene representations have recently shown promising results in dense visual SLAM. However, existing implicit SLAM algorithms are constrained to single-agent scenari…

cs.RO2023★ 1 cited

NTU4DRadLM: 4D Radar-centric Multi-Modal Dataset for Localization and Mapping

Jun Zhang, Huayang Zhuge, Yiyao Liu +12

Simultaneous Localization and Mapping (SLAM) is moving towards a robust perception age. However, LiDAR- and visual- SLAM may easily fail in adverse conditions (rain, snow, smoke an…

cs.CV2021★ 3 cited

Semantic Reinforced Attention Learning for Visual Place Recognition

Guohao Peng, Yufeng Yue, Jun Zhang +3

Large-scale visual place recognition (VPR) is inherently challenging because not all visual cues in the image are beneficial to the task. In order to highlight the task-relevant vi…

cs.LG2020★ 37 cited

Conditional Gaussian Distribution Learning for Open Set Recognition

Xin Sun, Zhenning Yang, Chi Zhang +2

Deep neural networks have achieved state-of-the-art performance in a wide range of recognition/classification tasks. However, when applying deep learning to real-world applications…

cs.RO2019★ 2 cited

Magnetic-Assisted Initialization for Infrastructure-free Mobile Robot Localization

Zhenyu Wu, Mingxing Wen, Guohao Peng +2

Most of the existing mobile robot localization solutions are either heavily dependent on pre-installed infrastructures or having difficulty working in highly repetitive environment…