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Fei Wang

8 papers hereh-index 101k citations10 works total

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

author position
  • middle author7
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV8
same name
  • Fei Wang — 157 papers, h 137
  • Fei Wang — 52 papers, h 19
  • Fei Wang — 42 papers, h 50
  • Fei Wang — 33 papers, h 20
  • Fei Wang — 19 papers, h 16
  • Fei Wang — 18 papers, h 7

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
20192022
most citedCentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

29 citations · 88 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline

Yuanbin Wang, Leyan Zhu, Shaofei Huang +4

As one of the fundamental functions of autonomous driving system, freespace detection aims at classifying each pixel of the image captured by the camera as drivable or non-drivable…

cs.CV2022★ 3 cited

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

Luting Wang, Xiaojie Li, Yue Liao +5

Conventional knowledge distillation (KD) methods for object detection mainly concentrate on homogeneous teacher-student detectors. However, the design of a lightweight detector for…

cs.CV2022★ 10 cited

A Keypoint-based Global Association Network for Lane Detection

Jinsheng Wang, Yinchao Ma, Shaofei Huang +4

Lane detection is a challenging task that requires predicting complex topology shapes of lane lines and distinguishing different types of lanes simultaneously. Earlier works follow…

cs.CV2022★ 3 cited

TR-MOT: Multi-Object Tracking by Reference

Mingfei Chen, Yue Liao, Si Liu +2

Multi-object Tracking (MOT) generally can be split into two sub-tasks, i.e., detection and association. Many previous methods follow the tracking by detection paradigm, which first…

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