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Jiashi Feng

14 papers hereh-index 111.1k citations14 works total

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

author position
  • middle author10
  • last author4

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.AR1
  • cs.CL1
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 — 9 papers, h 8
  • 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 citedLow-Resolution Self-Attention for Semantic Segmentation

21 citations · 41 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

ChatAnything: Facetime Chat with LLM-Enhanced Personas

Yilin Zhao, Xinbin Yuan, Shanghua Gao +4

In this technical report, we target generating anthropomorphized personas for LLM-based characters in an online manner, including visual appearance, personality and tones, with onl…

cs.CL2023★ 2 cited

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Lin Xu, Zhiyuan Hu, Daquan Zhou +5

Large Language Models (LLMs) have significantly advanced natural language processing, demonstrating exceptional reasoning, tool usage, and memory capabilities. As their application…

cs.AR2023★ 1 cited

EPIM: Efficient Processing-In-Memory Accelerators based on Epitome

Chenyu Wang, Zhen Dong, Daquan Zhou +4

The utilization of large-scale neural networks on Processing-In-Memory (PIM) accelerators encounters challenges due to constrained on-chip memory capacity. To tackle this issue, cu…

cs.CV2023★ 21 cited

Low-Resolution Self-Attention for Semantic Segmentation

Yu-Huan Wu, Shi-Chen Zhang, Yun Liu +6

Semantic segmentation tasks naturally require high-resolution information for pixel-wise segmentation and global context information for class prediction. While existing vision tra…

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