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researcher

Nanyi Fei

13 papers hereh-index 141.1k citations29 works total

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

author position
  • first author1
  • middle author9

Across the 10 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG3
  • cs.AI2
  • cs.IR1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedTowards artificial general intelligence via a multimodal foundation model

285 citations · 333 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 5 cited

LGDN: Language-Guided Denoising Network for Video-Language Modeling

Haoyu Lu, Mingyu Ding, Nanyi Fei +2

Video-language modeling has attracted much attention with the rapid growth of web videos. Most existing methods assume that the video frames and text description are semantically c…

cs.NE2022★ 11 cited

Multimodal foundation models are better simulators of the human brain

Haoyu Lu, Qiongyi Zhou, Nanyi Fei +8

Multimodal learning, especially large-scale multimodal pre-training, has developed rapidly over the past few years and led to the greatest advances in artificial intelligence (AI).…

cs.CV2022★ 2 cited

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval

Haoyu Lu, Nanyi Fei, Yuqi Huo +3

Large-scale single-stream pre-training has shown dramatic performance in image-text retrieval. Regrettably, it faces low inference efficiency due to heavy attention layers. Recentl…

cs.LG2022

A Roadmap for Big Model

Sha Yuan, Hanyu Zhao, Shuai Zhao +97

With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. Researchers have achieved various outcomes in the c…

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