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Haojie Liu

13 papers here

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

author position
  • first author8
  • middle author5

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • eess.IV9
  • cs.CV4
ORCID 0000-0001-5067-8993
same name
  • Haojie Liu — 6 papers, h 7
  • Haojie Liu — 4 papers, h 3
  • Haojie Liu — 1 paper, h 5

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
20182021
most citedDeep Image Compression via End-to-End Learning

34 citations · 67 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021

FPPN: Future Pseudo-LiDAR Frame Prediction for Autonomous Driving

Xudong Huang, Chunyu Lin, Haojie Liu +2

LiDAR sensors are widely used in autonomous driving due to the reliable 3D spatial information. However, the data of LiDAR is sparse and the frequency of LiDAR is lower than that o…

cs.CV2021★ 1 cited

PDWN: Pyramid Deformable Warping Network for Video Interpolation

Zhiqi Chen, Ran Wang, Haojie Liu +1

Video interpolation aims to generate a non-existent intermediate frame given the past and future frames. Many state-of-the-art methods achieve promising results by estimating the o…

cs.CV2020★ 1 cited

Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision

Haojie Liu, Kang Liao, Chunyu Lin +2

Pseudo-LiDAR point cloud interpolation is a novel and challenging task in the field of autonomous driving, which aims to address the frequency mismatching problem between camera an…

cs.CV2019

PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation

Haojie Liu, Kang Liao, Chunyu Lin +2

LiDAR sensors can provide dependable 3D spatial information at a low frequency (around 10Hz) and have been widely applied in the field of autonomous driving and UAV. However, the c…

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