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researcher

Rui Zhang

13 papers hereh-index 131.5k citations23 works total

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

author position
  • first author2
  • middle author11

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG5
same name
  • Rui Zhang — 268 papers, h 137
  • Rui Zhang — 114 papers, h 77
  • Rui Zhang — 46 papers, h 17
  • Rui Zhang — 38 papers, h 13
  • Rui Zhang — 32 papers, h 16
  • Rui Zhang — 31 papers, h 24

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
20182022
most citedCGNet: A Light-weight Context Guided Network for Semantic Segmentation

83 citations · 252 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 82 cited

Asymmetric GAN for Unpaired Image-to-image Translation

Yu Li, Sheng Tang, Rui Zhang +3

Unpaired image-to-image translation problem aims to model the mapping from one domain to another with unpaired training data. Current works like the well-acknowledged Cycle GAN pro…

cs.LG2019★ 5 cited

Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers

Xishan Zhang, Shaoli Liu, Rui Zhang +8

Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers. Recent emerged quantization technique has been applied to inference of deep neur…

cs.CV2019★ 3 cited

Consensus Feature Network for Scene Parsing

Tianyi Wu, Sheng Tang, Rui Zhang +2

Scene parsing is challenging as it aims to assign one of the semantic categories to each pixel in scene images. Thus, pixel-level features are desired for scene parsing. However, c…

cs.CV2019★ 13 cited

Harmonic Unpaired Image-to-image Translation

Rui Zhang, Tomas Pfister, Jia Li

The recent direction of unpaired image-to-image translation is on one hand very exciting as it alleviates the big burden in obtaining label-intensive pixel-to-pixel supervision, bu…

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