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Liu Ren

18 papers hereh-index 222.3k citations47 works total

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

author position
  • middle author2
  • last author16

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.HC2
  • cs.LG2
  • cs.GR1
  • cs.SD1
  • eess.IV1
same name
  • Liu Ren — 20 papers, h 10
  • Liu Ren — 15 papers, h 7
  • Liu Ren — 9 papers, h 4
  • Liu Ren — 6 papers, h 5
  • Liu Ren — 5 papers, h 2
  • Liu Ren — 4 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
20172023
most citedDo Convolutional Neural Networks Learn Class Hierarchy?

211 citations · 576 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 2 cited

Self-supervised Semantic Segmentation Grounded in Visual Concepts

Wenbin He, William Surmeier, Arvind Kumar Shekar +2

Unsupervised semantic segmentation requires assigning a label to every pixel without any human annotations. Despite recent advances in self-supervised representation learning for i…

cs.LG2022★ 15 cited

Interactive Visual Pattern Search on Graph Data via Graph Representation Learning

Huan Song, Zeng Dai, Panpan Xu +1

Graphs are a ubiquitous data structure to model processes and relations in a wide range of domains. Examples include control-flow graphs in programs and semantic scene graphs in im…

cs.CV2022

PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation

Yuyan Li, Zhixin Yan, Ye Duan +1

Omnidirectional 3D information is essential for a wide range of applications such as Virtual Reality, Autonomous Driving, Robotics, etc. In this paper, we propose a novel, model-ag…

cs.CV2022

Novelty-based Generalization Evaluation for Traffic Light Detection

Arvind Kumar Shekar, Laureen Lake, Liang Gou +1

The advent of Convolutional Neural Networks (CNNs) has led to their application in several domains. One noteworthy application is the perception system for autonomous driving that…

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