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Jialiang Wang

5 papers hereh-index 9372 citations22 works total

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

author position
  • first author3
  • middle author2

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

fields
  • cs.CV4
  • cs.LG1
same name
  • Jialiang Wang — 19 papers, h 10
  • Jialiang Wang — 5 papers, h 2
  • Jialiang Wang — 4 papers, h 3
  • Jialiang Wang — 3 papers, h 7
  • Jialiang Wang — 3 papers, h 0
  • Jialiang Wang — 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

activity
20202023
most citedImproving Deep Stereo Network Generalization with Geometric Priors

7 citations · 15 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 4 cited

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

Chenfeng Xu, Bichen Wu, Ji Hou +8

We present NeRF-Det, a novel method for indoor 3D detection with posed RGB images as input. Unlike existing indoor 3D detection methods that struggle to model scene geometry, our m…

cs.CV2022★ 1 cited

UMSNet: An Universal Multi-sensor Network for Human Activity Recognition

Jialiang Wang, Haotian Wei, Yi Wang +2

Human activity recognition (HAR) based on multimodal sensors has become a rapidly growing branch of biometric recognition and artificial intelligence. However, how to fully mine mu…

cs.CV2021

Level Set Binocular Stereo with Occlusions

Jialiang Wang, Todd Zickler

Localizing stereo boundaries and predicting nearby disparities are difficult because stereo boundaries induce occluded regions where matching cues are absent. Most modern computer…

cs.CV2020★ 7 cited

Improving Deep Stereo Network Generalization with Geometric Priors

Jialiang Wang, Varun Jampani, Deqing Sun +3

End-to-end deep learning methods have advanced stereo vision in recent years and obtained excellent results when the training and test data are similar. However, large datasets of…

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