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Weihan Wang

4 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.RO2
ORCID 0000-0003-2404-2814
same name
  • Weihan Wang — 1 paper
  • Weihan Wang — 1 paper
  • Weihan Wang — 1 paper
  • Weihan Wang — 1 paper

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 citedEDI: ESKF-based Disjoint Initialization for Visual-Inertial SLAM Systems

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2024

Stereo-NEC: Enhancing Stereo Visual-Inertial SLAM Initialization with Normal Epipolar Constraints

Weihan Wang, Chieh Chou, Ganesh Sevagamoorthy +7

We propose an accurate and robust initialization approach for stereo visual-inertial SLAM systems. Unlike the current state-of-the-art method, which heavily relies on the accuracy…

cs.CV2024

CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion

Wendi Zheng, Jiayan Teng, Zhuoyi Yang +6

Recent advancements in text-to-image generative systems have been largely driven by diffusion models. However, single-stage text-to-image diffusion models still face challenges, in…

cs.RO2023★ 1 cited

EDI: ESKF-based Disjoint Initialization for Visual-Inertial SLAM Systems

Weihan Wang, Jiani Li, Yuhang Ming +1

Visual-inertial initialization can be classified into joint and disjoint approaches. Joint approaches tackle both the visual and the inertial parameters together by aligning observ…

cs.CV2023

Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation

Liyan Chen, Weihan Wang, Philippos Mordohai

We present a new loss function for joint disparity and uncertainty estimation in deep stereo matching. Our work is motivated by the need for precise uncertainty estimates and the o…

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