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Wenming Yang

6 papers hereh-index 132 citations5 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI1
  • cs.RO1
same name
  • Wenming Yang — 6 papers, h 5
  • Wenming Yang — 5 papers, h 30
  • Wenming Yang — 4 papers, h 3
  • Wenming Yang — 3 papers, h 3
  • Wenming Yang — 2 papers, h 1
  • Wenming Yang — 2 papers, h 2

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Focus When Necessary: Adaptive Routing and Collaborative Grounding for Training-Free Visual Grounding

Yifan Wang, Peiming Li, Shiyu Li +5

While Multimodal Large Language Models (MLLMs) excel in cross-modal reasoning, they often struggle to perceive fine-grained details in complex high-resolution images. Recent traini…

cs.CV2026

SPAN: Spatial-Projection Alignment for Monocular 3D Object Detection

Yifan Wang, Yian Zhao, Fanqi Pu +4

Existing monocular 3D detectors typically tame the pronounced nonlinear regression of 3D bounding box through decoupled prediction paradigm, which employs multiple branches to esti…

cs.CV2025★ 2 cited

Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object Detection

Yifan Wang, Xiaochen Yang, Fanqi Pu +2

Monocular 3D object detection has attracted great attention due to simplicity and low cost. Existing methods typically follow conventional 2D detection paradigms, first locating ob…

cs.CV2025

MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors

Fanqi Pu, Yifan Wang, Jiru Deng +1

Perspective projection has been extensively utilized in monocular 3D object detection methods. It introduces geometric priors from 2D bounding boxes and 3D object dimensions to red…

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