◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Sheng Ren

3 papers hereh-index 13684 citations37 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
same name
  • Sheng Ren — 2 papers, h 2
  • Sheng Ren — 1 paper, h 3
  • Sheng Ren — 1 paper, h 1

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
20202025
most citedTowards Class-incremental Object Detection with Nearest Mean of Exemplars

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2025

Humanoid-inspired Causal Representation Learning for Domain Generalization

Ze Tao, Jian Zhang, Haowei Li +7

This paper proposes the Humanoid-inspired Structural Causal Model (HSCM), a novel causal framework inspired by human intelligence, designed to overcome the limitations of conventio…

cs.CV2024

Fast Wrong-way Cycling Detection in CCTV Videos: Sparse Sampling is All You Need

Jing Xu, Wentao Shi, Sheng Ren +4

Effective monitoring of unusual transportation behaviors, such as wrong-way cycling (i.e., riding a bicycle or e-bike against designated traffic flow), is crucial for optimizing la…

cs.CV2020★ 1 cited

Towards Class-incremental Object Detection with Nearest Mean of Exemplars

Sheng Ren, Yan He, Neal N. Xiong +1

Incremental learning is a form of online learning. Incremental learning can modify the parameters and structure of the deep learning model so that the model does not forget the old…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.