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Ming Tang

10 papers hereh-index 222.7k citations50 works total

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

author position
  • first author1
  • middle author5
  • last author3

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.CR1
  • cs.LG1
same name
  • Ming Tang — 54 papers, h 38
  • Ming Tang — 44 papers, h 28
  • Ming Tang — 15 papers, h 6
  • Ming Tang — 13 papers, h 4
  • Ming Tang — 7 papers, h 12
  • Ming Tang — 6 papers, h 3

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 citedMST: Masked Self-Supervised Transformer for Visual Representation

29 citations · 66 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 2 cited

Video Similarity and Alignment Learning on Partial Video Copy Detection

Zhen Han, Xiangteng He, Mingqian Tang +1

Existing video copy detection methods generally measure video similarity based on spatial similarities between key frames, neglecting the latent similarity in temporal dimension, s…

cs.CV2021★ 29 cited

MST: Masked Self-Supervised Transformer for Visual Representation

Zhaowen Li, Zhiyang Chen, Fan Yang +8

Transformer has been widely used for self-supervised pre-training in Natural Language Processing (NLP) and achieved great success. However, it has not been fully explored in visual…

cs.CV2021★ 4 cited

Adaptive Class Suppression Loss for Long-Tail Object Detection

Tong Wang, Yousong Zhu, Chaoyang Zhao +3

To address the problem of long-tail distribution for the large vocabulary object detection task, existing methods usually divide the whole categories into several groups and treat…

cs.CV2021★ 2 cited

AAformer: Auto-Aligned Transformer for Person Re-Identification

Kuan Zhu, Haiyun Guo, Shiliang Zhang +4

In person re-identification (re-ID), extracting part-level features from person images has been verified to be crucial to offer fine-grained information. Most of the existing CNN-b…

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