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Yiming Wang

25 papers hereh-index 181.3k citations39 works total

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

author position
  • first author8
  • middle author13
  • last author3

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.RO4
  • cs.LG3
  • cs.CL1
  • cs.SD1
  • cs.SI1
same name
  • Yiming Wang — 22 papers, h 9
  • Yiming Wang — 19 papers, h 9
  • Yiming Wang — 14 papers, h 6
  • Yiming Wang — 9 papers, h 19
  • Yiming Wang — 9 papers, h 4
  • Yiming Wang — 8 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

activity
20202024
most citedConsistent Multiple Graph Embedding for Multi-View Clustering

104 citations · 222 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Attentive Multimodal Fusion for Optical and Scene Flow

Youjie Zhou, Guofeng Mei, Yiming Wang +2

This paper presents an investigation into the estimation of optical and scene flow using RGBD information in scenarios where the RGB modality is affected by noise or captured in da…

cs.CV2023★ 1 cited

Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models

Francesco Giuliari, Gianluca Scarpellini, Stuart James +2

Positional reasoning is the process of ordering unsorted parts contained in a set into a consistent structure. We present Positional Diffusion, a plug-and-play graph formulation wi…

cs.RO2023★ 6 cited

Unsupervised Active Visual Search with Monte Carlo planning under Uncertain Detections

Francesco Taioli, Francesco Giuliari, Yiming Wang +6

We propose a solution for Active Visual Search of objects in an environment, whose 2D floor map is the only known information. Our solution has three key features that make it more…

cs.RO2023

3DSGrasp: 3D Shape-Completion for Robotic Grasp

Seyed S. Mohammadi, Nuno F. Duarte, Dimitris Dimou +8

Real-world robotic grasping can be done robustly if a complete 3D Point Cloud Data (PCD) of an object is available. However, in practice, PCDs are often incomplete when objects are…

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