◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Xin Wang

4 papers here

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.CV3
  • cs.RO1
same name
  • Xin Wang — 27 papers, h 39
  • Xin Wang — 17 papers, h 28
  • Xin Wang — 10 papers, h 30
  • Xin Wang — 9 papers, h 29
  • Xin Wang — 9 papers, h 18
  • Xin Wang — 9 papers

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 citedAttention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction

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

collaborators

4 papers

cs.CV2020★ 4 cited

Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction

Anzhu Yu, Wenyue Guo, Bing Liu +4

We present an efficient multi-view stereo (MVS) network for 3D reconstruction from multiview images. While previous learning based reconstruction approaches performed quite well, m…

cs.CV2018

S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks

Da Zhang, Xiyang Dai, Xin Wang +1

In this paper, we present a novel Single Shot multi-Span Detector for temporal activity detection in long, untrimmed videos using a simple end-to-end fully three-dimensional convol…

cs.RO2018

PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction

Wei Dong, Qiuyuan Wang, Xin Wang +1

We propose a novel 3D spatial representation for data fusion and scene reconstruction. Probabilistic Signed Distance Function (Probabilistic SDF, PSDF) is proposed to depict uncert…

cs.CV2018

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video

Samvit Jain, Xin Wang, Joseph Gonzalez

We present Accel, a novel semantic video segmentation system that achieves high accuracy at low inference cost by combining the predictions of two network branches: (1) a reference…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.