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Peng Chen

6 papers hereh-index 3152 citations7 works total

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

author position
  • middle author3
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV2
same name
  • Peng Chen — 29 papers, h 14
  • Peng Chen — 27 papers, h 25
  • Peng Chen — 24 papers, h 26
  • Peng Chen — 17 papers, h 9
  • Peng Chen — 17 papers, h 3
  • Peng Chen — 14 papers, h 13

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
20212026
most citedPerceiving and Modeling Density is All You Need for Image Dehazing

25 citations · 38 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 10 cited

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

Tang Tao, Longfei Gao, Guangrun Wang +7

We introduce a new task, novel view synthesis for LiDAR sensors. While traditional model-based LiDAR simulators with style-transfer neural networks can be applied to render novel v…

cs.CV2023

DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes

Sixiang Chen, Tian Ye, Jun Shi +4

Varicolored haze caused by chromatic casts poses haze removal and depth estimation challenges. Recent learning-based depth estimation methods are mainly targeted at dehazing first…

cs.CV2022★ 3 cited

MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing

Sixiang Chen, Tian Ye, Yun Liu +4

Snow removal causes challenges due to its characteristic of complex degradations. To this end, targeted treatment of multi-scale snow degradations is critical for the network to le…

cs.CV2021★ 25 cited

Perceiving and Modeling Density is All You Need for Image Dehazing

Tian Ye, Mingchao Jiang, Yunchen Zhang +4

In the real world, the degradation of images taken under haze can be quite complex, where the spatial distribution of haze is varied from image to image. Recent methods adopt deep…

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