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Wentao Wu

14 papers hereh-index 5165 citations17 works total

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

author position
  • first author4
  • middle author9
  • last author1

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.LG1
  • eess.IV1
same name
  • Wentao Wu — 30 papers, h 29
  • Wentao Wu — 4 papers, h 5
  • Wentao Wu — 4 papers, h 1
  • Wentao Wu — 3 papers, h 4
  • Wentao Wu — 3 papers, h 2
  • Wentao Wu — 2 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
20232026
most citedState Space Model for New-Generation Network Alternative to Transformers: A Survey

19 citations · 20 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset

Xiao Wang, Yu Jin, Wentao Wu +4

Object detection in event streams has emerged as a cutting-edge research area, demonstrating superior performance in low-light conditions, scenarios with motion blur, and rapid mov…

cs.CV2024

VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models

Wentao Wu, Fanghua Hong, Xiao Wang +2

Existing vehicle detectors are usually obtained by training a typical detector (e.g., YOLO, RCNN, DETR series) on vehicle images based on a pre-trained backbone (e.g., ResNet, ViT)…

eess.IV2024

Pre-training on High Definition X-ray Images: An Experimental Study

Xiao Wang, Yuehang Li, Wentao Wu +5

Existing X-ray based pre-trained vision models are usually conducted on a relatively small-scale dataset (less than 500k samples) with limited resolution (e.g., 224 × 224).…

cs.LG2024★ 19 cited

State Space Model for New-Generation Network Alternative to Transformers: A Survey

Xiao Wang, Shiao Wang, Yuhe Ding +13

In the post-deep learning era, the Transformer architecture has demonstrated its powerful performance across pre-trained big models and various downstream tasks. However, the enorm…

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