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researcher

Wei Ji

12 papers hereh-index 202.2k citations29 works total

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

author position
  • first author2
  • middle author9
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.AI1
  • eess.SY1
same name
  • Wei Ji — 20 papers, h 30
  • Wei Ji — 13 papers, h 3
  • Wei Ji — 10 papers, h 18
  • Wei Ji — 10 papers, h 5
  • Wei Ji — 10 papers, h 3
  • Wei Ji — 9 papers, h 4

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
20182023
most citedNExT-GPT: Any-to-Any Multimodal LLM

95 citations · 143 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 17 cited

Multi-queue Momentum Contrast for Microvideo-Product Retrieval

Yali Du, Yinwei Wei, Wei Ji +3

The booming development and huge market of micro-videos bring new e-commerce channels for merchants. Currently, more micro-video publishers prefer to embed relevant ads into their…

eess.SY2022★ 1 cited

Driving Style Recognition at First Impression for Online Trajectory Prediction

Tu Xu, Kan Wu, Yongdong Zhu +1

This paper proposes a new driving style recognition approach that allows autonomous vehicles (AVs) to perform trajectory predictions for surrounding vehicles with minimal data. Tow…

cs.CV2022★ 16 cited

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection

Wei Ji, Jingjing Li, Qi Bi +3

Growing interests in RGB-D salient object detection (RGB-D SOD) have been witnessed in recent years, owing partly to the popularity of depth sensors and the rapid progress of deep…

cs.CV2022★ 2 cited

Content-Variant Reference Image Quality Assessment via Knowledge Distillation

Guanghao Yin, Wei Wang, Zehuan Yuan +4

Generally, humans are more skilled at perceiving differences between high-quality (HQ) and low-quality (LQ) images than directly judging the quality of a single LQ image. This situ…

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