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Xinming Huang

33 papers hereh-index 241.9k citations57 works total

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

author position
  • middle author11
  • last author22

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • eess.SP4
  • eess.IV3
  • cs.LG2
  • cs.RO2
same name
  • Xinming Huang — 2 papers, h 3
  • Xinming Huang — 2 papers, h 2
  • Xinming Huang — 1 paper
  • Xinming Huang — 1 paper, h 20
  • Xinming Huang — 1 paper, h 0
  • Xinming Huang — 1 paper, h 0

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
20172026
most citedChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA

82 citations · 206 across the 32 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

eess.SP2018

A CNN Accelerator on FPGA Using Depthwise Separable Convolution

Lin Bai, Yiming Zhao, Xinming Huang

Convolutional neural networks (CNNs) have been widely deployed in the fields of computer vision and pattern recognition because of their high accuracy. However, large convolution o…

cs.CV2018★ 1 cited

Road Segmentation Using CNN and Distributed LSTM

Yecheng Lyu, Lin Bai, Xinming Huang

In automated driving systems (ADS) and advanced driver-assistance systems (ADAS), an efficient road segmentation is necessary to perceive the drivable region and build an occupancy…

eess.SP2018★ 82 cited

ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA

Yecheng Lyu, Lin Bai, Xinming Huang

This paper presents a field-programmable gate array (FPGA) design of a segmentation algorithm based on convolutional neural network (CNN) that can process light detection and rangi…

cs.CV2018★ 12 cited

Road Segmentation Using CNN with GRU

Yecheng Lyu, Xinming Huang

This paper presents an accurate and fast algorithm for road segmentation using convolutional neural network (CNN) and gated recurrent units (GRU). For autonomous vehicles, road seg…

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