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researcher

Xin Kong

Imperial College London

10 papers hereh-index 121.1k citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author7

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.RO2
affiliations
  • Imperial College London
Homepage
same name
  • Xin Kong — 5 papers, h 4
  • Xin Kong — 1 paper, h 0
  • Xin Kong — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedHR-Depth: High Resolution Self-Supervised Monocular Depth Estimation

24 citations · 81 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 24 cited

HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation

Xiaoyang Lyu, Liang Liu, Mengmeng Wang +5

Self-supervised learning shows great potential in monoculardepth estimation, using image sequences as the only source ofsupervision. Although people try to use the high-resolutioni…

cs.CV2020★ 10 cited

FlowMOT: 3D Multi-Object Tracking by Scene Flow Association

Guangyao Zhai, Xin Kong, Jinhao Cui +2

Most end-to-end Multi-Object Tracking (MOT) methods face the problems of low accuracy and poor generalization ability. Although traditional filter-based methods can achieve better…

cs.CV2020★ 3 cited

F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking

Hao Zou, Jinhao Cui, Xin Kong +4

This paper presents F-Siamese Tracker, a novel approach for single object tracking prominently characterized by more robustly integrating 2D and 3D information to reduce redundant…

cs.CV2020★ 6 cited

Semantic Graph Based Place Recognition for 3D Point Clouds

Xin Kong, Xuemeng Yang, Guangyao Zhai +6

Due to the difficulty in generating the effective descriptors which are robust to occlusion and viewpoint changes, place recognition for 3D point cloud remains an open issue. Unlik…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.