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Yang Wen

4 papers hereh-index 41.1k citations5 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.CV4
same name
  • Yang Wen — 3 papers, h 0
  • Yang Wen — 2 papers, h 5
  • Yang Wen — 2 papers, h 1
  • Yang Wen — 1 paper, h 4
  • Yang Wen — 1 paper, h 10
  • Yang Wen — 1 paper, 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

most citedEfficientFormer: Vision Transformers at MobileNet Speed

257 citations · 284 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 1 cited

ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers

Jinke Li, Xiao He, Chonghua Zhou +3

3D occupancy, an advanced perception technology for driving scenarios, represents the entire scene without distinguishing between foreground and background by quantifying the physi…

cs.CV2022★ 21 cited

Rethinking Vision Transformers for MobileNet Size and Speed

Yanyu Li, Ju Hu, Yang Wen +5

With the success of Vision Transformers (ViTs) in computer vision tasks, recent arts try to optimize the performance and complexity of ViTs to enable efficient deployment on mobile…

cs.CV2022★ 257 cited

EfficientFormer: Vision Transformers at MobileNet Speed

Yanyu Li, Geng Yuan, Yang Wen +5

Vision Transformers (ViT) have shown rapid progress in computer vision tasks, achieving promising results on various benchmarks. However, due to the massive number of parameters an…

cs.CV2022★ 5 cited

Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap

Jinke Li, Xiao He, Yang Wen +3

As a rising task, panoptic segmentation is faced with challenges in both semantic segmentation and instance segmentation. However, in terms of speed and accuracy, existing LiDAR me…

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