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researcher

Y. Liu

25 papers hereh-index 5816.3k citations781 works total

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

author position
  • first author3
  • middle author15
  • last author1

Across the 19 of 25 papers where every author was matched, so the position is known.

fields
  • quant-ph5
  • cs.CV4
  • hep-ex4
  • physics.ins-det3
  • cond-mat.mes-hall2
  • astro-ph.CO1
same name
  • Y. Liu — 526 papers
  • Y. Liu — 480 papers, h 51
  • Y. Liu — 340 papers, h 9
  • Y. Liu — 298 papers
  • Y. Liu — 286 papers
  • Y. Liu — 236 papers, h 146

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
20132023
most citedChallenging local realism with human choices

293 citations · 692 across the 25 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

ReasonNet: End-to-End Driving with Temporal and Global Reasoning

Hao Shao, Letian Wang, Ruobing Chen +3

The large-scale deployment of autonomous vehicles is yet to come, and one of the major remaining challenges lies in urban dense traffic scenarios. In such cases, it remains challen…

cs.CV2023

Long-term Visual Localization with Mobile Sensors

Shen Yan, Yu Liu, Long Wang +6

Despite the remarkable advances in image matching and pose estimation, image-based localization of a camera in a temporally-varying outdoor environment is still a challenging probl…

cs.CV2023

Render-and-Compare: Cross-View 6 DoF Localization from Noisy Prior

Shen Yan, Xiaoya Cheng, Yuxiang Liu +4

Despite the significant progress in 6-DoF visual localization, researchers are mostly driven by ground-level benchmarks. Compared with aerial oblique photography, ground-level map…

cs.CV2016

On the Exploration of Convolutional Fusion Networks for Visual Recognition

Yu Liu, Yanming Guo, Michael S. Lew

Despite recent advances in multi-scale deep representations, their limitations are attributed to expensive parameters and weak fusion modules. Hence, we propose an efficient approa…

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