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20172021
most citedTripletGAN: Training Generative Model with Triplet Loss

9 citations · 16 across the 3 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021

Generative Models for Multi-Illumination Color Constancy

Partha Das, Yang Liu, Sezer Karaoglu +1

In this paper, the aim is multi-illumination color constancy. However, most of the existing color constancy methods are designed for single light sources. Furthermore, datasets for…

cs.CV2020

Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder

Yang Liu, Alexandros Neophytou, Sunando Sengupta +1

We propose a self-supervised method for image relighting of single view images in the wild. The method is based on an auto-encoder which deconstructs an image into two separate enc…

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.CV20187 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.CV2018

Transductive Unbiased Embedding for Zero-Shot Learning

Jie Song, Chengchao Shen, Yezhou Yang +2

Most existing Zero-Shot Learning (ZSL) methods have the strong bias problem, in which instances of unseen (target) classes tend to be categorized as one of the seen (source) classe…