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Ang Li

13 papers hereh-index 112k citations19 works total

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

author position
  • first author4
  • middle author7
  • last author2

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG4
  • cs.AI1
  • cs.CR1
  • cs.DC1
  • cs.IT1
same name
  • Ang Li — 28 papers, h 10
  • Ang Li — 24 papers
  • Ang Li — 22 papers, h 7
  • Ang Li — 19 papers, h 24
  • Ang Li — 18 papers, h 24
  • Ang Li — 15 papers, h 32

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
20172022
most citedVisual Localization Using Semantic Segmentation and Depth Prediction

7 citations · 21 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Zhenyu Li, Zehui Chen, Ang Li +6

Pre-training has become a standard paradigm in many computer vision tasks. However, most of the methods are generally designed on the RGB image domain. Due to the discrepancy betwe…

cs.CV2021

Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

Qiming Wu, Zhikang Zou, Pan Zhou +3

Crowd counting has drawn much attention due to its importance in safety-critical surveillance systems. Especially, deep neural network (DNN) methods have significantly reduced esti…

cs.CV2020★ 7 cited

Visual Localization Using Semantic Segmentation and Depth Prediction

Huanhuan Fan, Yuhao Zhou, Ang Li +3

In this paper, we propose a monocular visual localization pipeline leveraging semantic and depth cues. We apply semantic consistency evaluation to rank the image retrieval results…

cs.CV2018

Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition

Yuanliu Liu, Ang Li, Zejian Yuan +2

We address the problem of decomposing a single image into reflectance and shading. The difficulty comes from the fact that the components of image---the surface albedo, the direct…

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