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Fei Su

Beijing University of Posts and Telecommunications

7 papers hereh-index 232.3k citations118 works total

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

author position
  • middle author3
  • last author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.SI2
  • cs.CL1
affiliations
  • Beijing University of Posts and Telecommunications
same name
  • Fei Su — 4 papers
  • Fei Su — 2 papers
  • Fei Su — 2 papers
  • Fei Su — 2 papers
  • Fei Su — 1 paper
  • Fei Su — 1 paper

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
20162022
most citedModeling of User Portrait Through Social Media

38 citations · 67 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval

Yunhao Du, Binyu Zhang, Xiangning Ruan +3

Retrieving tracked-vehicles by natural language descriptions plays a critical role in smart city construction. It aims to find the best match for the given texts from a set of trac…

cs.CV2017★ 14 cited

Contrastive-center loss for deep neural networks

Ce Qi, Fei Su

The deep convolutional neural network(CNN) has significantly raised the performance of image classification and face recognition. Softmax is usually used as supervision, but it onl…

cs.CV2017★ 8 cited

Optimizing Region Selection for Weakly Supervised Object Detection

Wenhui Jiang, Thuyen Ngo, B. S. Manjunath +2

Training object detectors with only image-level annotations is very challenging because the target objects are often surrounded by a large number of background clutters. Many exist…

cs.CV2016

Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video

Jing Zhou, Xiaopeng Hong, Fei Su +1

Automatic pain intensity estimation possesses a significant position in healthcare and medical field. Traditional static methods prefer to extract features from frames separately i…

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