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Tianfu Wu

North Carolina State University

47 papers hereh-index 323.7k citations128 works total

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

author position
  • first author2
  • middle author25
  • last author17

Across the 44 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CV37
  • cs.LG5
  • eess.SP2
  • cs.RO1
  • eess.IV1
  • stat.ML1
affiliations
  • North Carolina State University
Homepage
same name
  • Tianfu Wu — 4 papers, h 3
  • Tianfu Wu — 4 papers, h 3
  • Tianfu Wu — 3 papers, h 0
  • Tianfu Wu — 3 papers, h 2
  • Tianfu Wu — 2 papers, h 4
  • Tianfu Wu — 2 papers, h 2

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
20132023
most citedLearn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

79 citations · 406 across the 47 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CV2016★ 4 cited

An Attention-Driven Approach of No-Reference Image Quality Assessment

Diqi Chen, Yizhou Wang, Tianfu Wu +1

In this paper, we present a novel method of no-reference image quality assessment (NR-IQA), which is to predict the perceptual quality score of a given image without using any refe…

cs.CV2016★ 32 cited

Zero-Shot Learning posed as a Missing Data Problem

Bo Zhao, Botong Wu, Tianfu Wu +1

This paper presents a method of zero-shot learning (ZSL) which poses ZSL as the missing data problem, rather than the missing label problem. Specifically, most existing ZSL methods…

cs.CV2016★ 2 cited

Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks

Bo Li, Tianfu Wu, Shuai Shao +2

Jointly integrating aspect ratio and context has been extensively studied and shown performance improvement in traditional object detection systems such as the DPMs. It, however, h…

cs.CV2016★ 2 cited

Face Detection with End-to-End Integration of a ConvNet and a 3D Model

Yunzhu Li, Benyuan Sun, Tianfu Wu +1

This paper presents a method for face detection in the wild, which integrates a ConvNet and a 3D mean face model in an end-to-end multi-task discriminative learning framework. The…

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