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Pengchuan Zhang

26 papers hereh-index 2713k citations32 works total

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

author position
  • first author2
  • middle author20
  • last author4

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • cs.CL2
same name
  • Pengchuan Zhang — 12 papers, h 9
  • Pengchuan Zhang — 5 papers, h 5
  • Pengchuan Zhang — 5 papers, h 6
  • Pengchuan Zhang — 5 papers, h 4
  • Pengchuan Zhang — 4 papers, h 4
  • Pengchuan Zhang — 4 papers, h 7

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
20172022
most citedFlorence: A New Foundation Model for Computer Vision

342 citations · 1.4k across the 24 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 29 cited

MiniVLM: A Smaller and Faster Vision-Language Model

Jianfeng Wang, Xiaowei Hu, Pengchuan Zhang +5

Recent vision-language (VL) studies have shown remarkable progress by learning generic representations from massive image-text pairs with transformer models and then fine-tuning on…

cs.CV2020★ 6 cited

MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network

Yi Wei, Zhe Gan, Wenbo Li +5

We present Mask-guided Generative Adversarial Network (MagGAN) for high-resolution face attribute editing, in which semantic facial masks from a pre-trained face parser are used to…

cs.CV2020★ 5 cited

Novel Human-Object Interaction Detection via Adversarial Domain Generalization

Yuhang Song, Wenbo Li, Lei Zhang +6

We study in this paper the problem of novel human-object interaction (HOI) detection, aiming at improving the generalization ability of the model to unseen scenarios. The challenge…

cs.CV2020

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Xiujun Li, Xi Yin, Chunyuan Li +9

Large-scale pre-training methods of learning cross-modal representations on image-text pairs are becoming popular for vision-language tasks. While existing methods simply concatena…

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