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Yang Liu

4 papers hereh-index 9423 citations16 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV3
  • cs.LG1
same name
  • Yang Liu — 57 papers, h 73
  • Yang Liu — 16 papers, h 65
  • Yang Liu — 11 papers
  • Yang Liu — 11 papers
  • Yang Liu — 8 papers, h 43
  • Yang Liu — 8 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

activity
20172019
most citedTripletGAN: Training Generative Model with Triplet Loss

9 citations · 16 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2019

BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud

Ehsan Nezhadarya, Yang Liu, Bingbing Liu

We present a learning-based method to estimate the object bounding box from its 2D bird's-eye view (BEV) LiDAR points. Our method, entitled BoxNet, exploits a simple deep neural ne…

cs.CV2018★ 7 cited

A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild

Yang Liu, Ajay Kumar

Contactless and online palmprint identfication offers improved user convenience, hygiene, user-security and is highly desirable in a range of applications. This technical report de…

cs.CV2018

Color Constancy by GANs: An Experimental Survey

Partha Das, Anil S. Baslamisli, Yang Liu +2

In this paper, we formulate the color constancy task as an image-to-image translation problem using GANs. By conducting a large set of experiments on different datasets, an experim…

cs.LG2017★ 9 cited

TripletGAN: Training Generative Model with Triplet Loss

Gongze Cao, Yezhou Yang, Jie Lei +3

As an effective way of metric learning, triplet loss has been widely used in many deep learning tasks, including face recognition and person-ReID, leading to many states of the art…

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