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Jiawei Zhang

25 papers hereh-index 285.4k citations53 works total

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

author position
  • first author3
  • middle author20

Across the 23 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • eess.IV2
same name
  • Jiawei Zhang — 73 papers, h 40
  • Jiawei Zhang — 64 papers, h 37
  • Jiawei Zhang — 47 papers
  • Jiawei Zhang — 47 papers
  • Jiawei Zhang — 42 papers
  • Jiawei Zhang — 25 papers

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
20162023
most citedRGBD Salient Object Detection via Deep Fusion

362 citations · 791 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

eess.IV2022

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

Andrey Ignatov, Radu Timofte, Maurizio Denna +93

Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions hav…

cs.CV2022

Self-Supervised Intensity-Event Stereo Matching

Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu +5

Event cameras are novel bio-inspired vision sensors that output pixel-level intensity changes in microsecond accuracy with a high dynamic range and low power consumption. Despite t…

cs.CV2022

Learning Diverse Tone Styles for Image Retouching

Haolin Wang, Jiawei Zhang, Ming Liu +2

Image retouching, aiming to regenerate the visually pleasing renditions of given images, is a subjective task where the users are with different aesthetic sensations. Most existing…

cs.CV2022★ 2 cited

RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs

Zhouxia Wang, Jiawei Zhang, Runjian Chen +2

Blind face restoration is to recover a high-quality face image from unknown degradations. As face image contains abundant contextual information, we propose a method, RestoreFormer…

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