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researcher

Bin Xia

14 papers hereh-index 141.2k citations20 works total

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

author position
  • first author8
  • middle author2
  • last author4

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • eess.IV1
same name
  • Bin Xia — 24 papers, h 30
  • Bin Xia — 18 papers, h 8
  • Bin Xia — 12 papers, h 5
  • Bin Xia — 2 papers, h 3
  • Bin Xia — 2 papers, h 1
  • Bin Xia — 2 papers, h 4

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
20212023
most citedBounding Box Tightness Prior for Weakly Supervised Image Segmentation

40 citations · 111 across the 14 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

4 papers · 2 filters

cs.CV2023★ 2 cited

DiffI2I: Efficient Diffusion Model for Image-to-Image Translation

Bin Xia, Yulun Zhang, Shiyin Wang +6

The Diffusion Model (DM) has emerged as the SOTA approach for image synthesis. However, the existing DM cannot perform well on some image-to-image translation (I2I) tasks. Differen…

cs.CV2023★ 30 cited

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Zheng Chen, Yulun Zhang, Ding Liu +4

Diffusion models (DMs) have recently been introduced in image deblurring and exhibited promising performance, particularly in terms of details reconstruction. However, the diffusio…

cs.CV2023★ 16 cited

DiffIR: Efficient Diffusion Model for Image Restoration

Bin Xia, Yulun Zhang, Shiyin Wang +5

Diffusion model (DM) has achieved SOTA performance by modeling the image synthesis process into a sequential application of a denoising network. However, different from image synth…

cs.CV2023

Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations

Juan Wang, Bin Xia

Weakly supervised image segmentation approaches in the literature usually achieve high segmentation performance using tight bounding box supervision and decrease the performance gr…

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