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Zhidong Deng

4 papers hereh-index 333 citations7 works total

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Zhidong Deng — 11 papers, h 2
  • Zhidong Deng — 7 papers, h 25
  • Zhidong Deng — 5 papers, h 6
  • Zhidong Deng — 3 papers, h 3
  • Zhidong Deng — 3 papers, h 4
  • Zhidong Deng — 1 paper, h 2

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

most citedPointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 5 cited

PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection

Botao Ren, Xue Yang, Yi Yu +2

Single point supervised oriented object detection has gained attention and made initial progress within the community. Diverse from those approaches relying on one-shot samples or…

cs.CV2024

LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language Models

Jingyi Wang, Jianzhong Ju, Jian Luan +1

Recent advances in large vision-language models (VLMs) typically employ vision encoders based on the Vision Transformer (ViT) architecture. The division of the images into patches…

cs.CV2024

Context-Aware Aerial Object Detection: Leveraging Inter-Object and Background Relationships

Botao Ren, Botian Xu, Xue Yang +3

In most modern object detection pipelines, the detection proposals are processed independently given the feature map. Therefore, they overlook the underlying relationships between…

cs.CV2023

Feedback RoI Features Improve Aerial Object Detection

Botao Ren, Botian Xu, Tengyu Liu +2

Neuroscience studies have shown that the human visual system utilizes high-level feedback information to guide lower-level perception, enabling adaptation to signals of different c…

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