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Jiashi Feng

9 papers hereh-index 8644 citations11 works total

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

author position
  • middle author8
  • last author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV9
same name
  • Jiashi Feng — 180 papers, h 104
  • Jiashi Feng — 68 papers, h 47
  • Jiashi Feng — 22 papers, h 16
  • Jiashi Feng — 16 papers, h 12
  • Jiashi Feng — 14 papers, h 11
  • Jiashi Feng — 7 papers

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
20232026
most citedMV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval

8 citations · 13 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Video Recognition in Portrait Mode

Mingfei Han, Linjie Yang, Xiaojie Jin +3

The creation of new datasets often presents new challenges for video recognition and can inspire novel ideas while addressing these challenges. While existing datasets mainly compr…

cs.CV2023★ 4 cited

Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

Fan Ma, Xiaojie Jin, Heng Wang +3

Recent advances in large video-language models have displayed promising outcomes in video comprehension. Current approaches straightforwardly convert video into language tokens and…

cs.CV2023★ 1 cited

PixelLM: Pixel Reasoning with Large Multimodal Model

Zhongwei Ren, Zhicheng Huang, Yunchao Wei +4

While large multimodal models (LMMs) have achieved remarkable progress, generating pixel-level masks for image reasoning tasks involving multiple open-world targets remains a chall…

cs.CV2023★ 8 cited

MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval

Xiaojie Jin, Bowen Zhang, Weibo Gong +6

State-of-the-art video-text retrieval (VTR) methods typically involve fully fine-tuning a pre-trained model (e.g. CLIP) on specific datasets. However, this can result in significan…

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