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Xibin Song

18 papers hereh-index 222k citations37 works total

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

author position
  • first author4
  • middle author14

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.RO3
same name
  • Xibin Song — 13 papers, 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
20162023
most citedDeeply Supervised Depth Map Super-Resolution as Novel View Synthesis

55 citations · 136 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

End-to-end Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai +3

Even though considerable progress has been made in deep learning-based 3D point cloud processing, how to obtain accurate correspondences for robust registration remains a major cha…

cs.CV2021★ 1 cited

Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

Lina Liu, Xibin Song, Mengmeng Wang +2

Remarkable results have been achieved by DCNN based self-supervised depth estimation approaches. However, most of these approaches can only handle either day-time or night-time ima…

cs.CV2021

MapFusion: A General Framework for 3D Object Detection with HDMaps

Jin Fang, Dingfu Zhou, Xibin Song +1

3D object detection is a key perception component in autonomous driving. Most recent approaches are based on Lidar sensors only or fused with cameras. Maps (e.g., High Definition M…

cs.CV2021

IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image

Dingfu Zhou, Xibin Song, Yuchao Dai +5

3D object detection from a single image is an important task in Autonomous Driving (AD), where various approaches have been proposed. However, the task is intrinsically ambiguous a…

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