activity
20122023
most citedMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

162 citations · 562 across the 52 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 3 cited

Dually Supervised Feature Pyramid for Object Detection and Segmentation

Fan Yang, Cheng Lu, Yandong Guo +2

Feature pyramid architecture has been broadly adopted in object detection and segmentation to deal with multi-scale problem. However, in this paper we show that the capacity of the…

cs.CV2019

To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene

Zhenfeng Zhu, Yingying Meng, Deqiang Kong +3

Due to the deteriorated conditions of \mbox{illumination} lack and uneven lighting, nighttime images have lower contrast and higher noise than their daytime counterparts of the sam…

cs.CV2019★ 9 cited

Generative One-Shot Face Recognition

Zhengming Ding, Yandong Guo, Lei Zhang +1

One-shot face recognition measures the ability to identify persons with only seeing them at one glance, and is a hallmark of human visual intelligence. It is challenging for conven…

eess.IV2019★ 40 cited

Edge Heuristic GAN for Non-uniform Blind Deblurring

Shuai Zheng, Zhenfeng Zhu, Jian Cheng +2

Non-uniform blur, mainly caused by camera shake and motions of multiple objects, is one of the most common causes of image quality degradation. However, the traditional blind deblu…

cs.CV2019★ 2 cited

Large Scale Incremental Learning

Yue Wu, Yinpeng Chen, Lijuan Wang +4

Modern machine learning suffers from catastrophic forgetting when learning new classes incrementally. The performance dramatically degrades due to the missing data of old classes.…

cs.CV2019★ 3 cited

Learning to Count Objects with Few Exemplar Annotations

Jianfeng Wang, Rong Xiao, Yandong Guo +1

In this paper, we study the problem of object counting with incomplete annotations. Based on the observation that in many object counting problems the target objects are normally r…