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QUAN LIU

Vanderbilt University

29 papers hereh-index 5916.9k citations738 works total

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

author position
  • first author8
  • middle author16
  • last author4

Across the 28 of 29 papers where every author was matched, so the position is known.

fields
  • cs.CL17
  • cs.CV5
  • cs.AI3
  • eess.IV3
  • cs.NI1
affiliations
  • Vanderbilt University
same name
  • Quan Liu — 35 papers, h 10
  • Quan Liu — 13 papers, h 8
  • Quan Liu — 9 papers, h 10
  • Quan Liu — 8 papers, h 4
  • Quan Liu — 8 papers, h 4
  • Quan Liu — 5 papers, h 7

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
20122023
most citedFaster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking

189 citations · 394 across the 29 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CL2022★ 1 cited

WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition

Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu +5

Zero-shot cross-lingual named entity recognition (NER) aims at transferring knowledge from annotated and rich-resource data in source languages to unlabeled and lean-resource data…

cs.CV2022★ 1 cited

Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding

Quande Liu, Youpeng Wen, Jianhua Han +3

To bridge the gap between supervised semantic segmentation and real-world applications that acquires one model to recognize arbitrary new concepts, recent zero-shot segmentation at…

eess.IV2022

Omni-Seg: A Scale-aware Dynamic Network for Renal Pathological Image Segmentation

Ruining Deng, Quan Liu, Can Cui +9

Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogeneous scales of the objects. For example, on a whole slide image (WSI), the cross…

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