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researcher

Jia Li

31 papers hereh-index 282.7k citations63 works total

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

author position
  • first author9
  • middle author13
  • last author9

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV30
  • cs.LG1
same name
  • Jia Li — 35 papers, h 16
  • Jia Li — 22 papers, h 5
  • Jia Li — 21 papers, h 8
  • Jia Li — 17 papers, h 35
  • Jia Li — 17 papers, h 3
  • Jia Li — 16 papers, h 13

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 citedLow-resolution Face Recognition in the Wild via Selective Knowledge Distillation

218 citations · 680 across the 31 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 5 cited

Parsing Objects at a Finer Granularity: A Survey

Yifan Zhao, Jia Li, Yonghong Tian

Fine-grained visual parsing, including fine-grained part segmentation and fine-grained object recognition, has attracted considerable critical attention due to its importance in ma…

cs.CV2022★ 82 cited

Part-guided Relational Transformers for Fine-grained Visual Recognition

Yifan Zhao, Jia Li, Xiaowu Chen +1

Fine-grained visual recognition is to classify objects with visually similar appearances into subcategories, which has made great progress with the development of deep CNNs. Howeve…

cs.CV2022★ 18 cited

View-aware Salient Object Detection for 360° Omnidirectional Image

Junjie Wu, Changqun Xia, Tianshu Yu +1

Image-based salient object detection (ISOD) in 360° scenarios is significant for understanding and applying panoramic information. However, research on 360° ISOD has not been widel…

cs.CV2022★ 4 cited

Pyramid Grafting Network for One-Stage High Resolution Saliency Detection

Chenxi Xie, Changqun Xia, Mingcan Ma +3

Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance. However, most of existing SOD models designed for low-resolution in…

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