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Meng Wang

Ant Group

4 papers hereh-index 7449 citations11 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.CL1
affiliations
  • Ant Group
same name
  • Meng Wang — 306 papers
  • Meng Wang — 236 papers, h 34
  • Meng Wang — 64 papers, h 32
  • Meng Wang — 34 papers, h 16
  • Meng Wang — 26 papers, h 23
  • Meng Wang — 22 papers, h 52

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
20212023
most citedDC-Former: Diverse and Compact Transformer for Person Re-Identification

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 1 cited

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

Zheng Lian, Haiyang Sun, Licai Sun +15

The first Multimodal Emotion Recognition Challenge (MER 2023) was successfully held at ACM Multimedia. The challenge focuses on system robustness and consists of three distinct tra…

cs.CV2023★ 3 cited

DC-Former: Diverse and Compact Transformer for Person Re-Identification

Wen Li, Cheng Zou, Meng Wang +5

In person re-identification (re-ID) task, it is still challenging to learn discriminative representation by deep learning, due to limited data. Generally speaking, the model will g…

cs.CV2022★ 1 cited

Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022

Cheng Zou, Furong Xu, Meng Wang +2

Automatic snake species recognition is important because it has vast potential to help lower deaths and disabilities caused by snakebites. We introduce our solution in SnakeCLEF 20…

cs.CV2021

HBReID: Harder Batch for Re-identification

Wen Li, Furong Xu, Jianan Zhao +4

Triplet loss is a widely adopted loss function in ReID task which pulls the hardest positive pairs close and pushes the hardest negative pairs far away. However, the selected sampl…

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