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Yuan Lan

9 papers hereh-index 463 citations15 works total

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

author position
  • first author3
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV2
  • cs.LG1
  • eess.SP1
  • math.NA1
same name
  • Yuan Lan — 3 papers, h 3
  • Yuan Lan — 2 papers, h 2
  • Yuan Lan — 1 paper, h 14

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
20202026
most citedAn Elastic Interaction-Based Loss Function for Medical Image Segmentation

18 citations · 38 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

TextBoost: Boosting Scene Text Fidelity in Ultra-low Bitrate Image Compression

Bingxin Wang, Yuan Lan, Zhaoyi Sun +2

Ultra-low bitrate image compression faces a critical challenge: preserving small-font scene text while maintaining overall visual quality. Region-of-interest (ROI) bit allocation c…

cs.CV2023

ElasticLaneNet: An Efficient Geometry-Flexible Approach for Lane Detection

Yaxin Feng, Yuan Lan, Luchan Zhang +1

The task of lane detection involves identifying the boundaries of driving areas in real-time. Recognizing lanes with variable and complex geometric structures remains a challenge.…

cs.CV2023

Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception

Yaxin Feng, Yuan Lan, Luchan Zhang +2

Urban segmentation and lane detection are two important tasks for traffic scene perception. Accuracy and fast inference speed of visual perception are crucial for autonomous drivin…

cs.CV2021★ 10 cited

Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks

Yue Wu, Yuan Lan, Luchan Zhang +1

Pruning is a model compression method that removes redundant parameters in deep neural networks (DNNs) while maintaining accuracy. Most available filter pruning methods require com…

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