activity
20152023
most citedCost-Effective Active Learning for Deep Image Classification

676 citations · 1.4k across the 27 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 19 cited

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

Xu Yan, Jiantao Gao, Jie Li +4

LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep…

cs.CV2020★ 16 cited

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Andrey Ignatov, Radu Timofte, Zhilu Zhang +36

This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…

cs.CV2020★ 1 cited

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation

Yuanfeng Ji, Ruimao Zhang, Zhen Li +3

Aggregating multi-level feature representation plays a critical role in achieving robust volumetric medical image segmentation, which is important for the auxiliary diagnosis and t…

cs.CV2020

Exemplar Normalization for Learning Deep Representation

Ruimao Zhang, Zhanglin Peng, Lingyun Wu +2

Normalization techniques are important in different advanced neural networks and different tasks. This work investigates a novel dynamic learning-to-normalize (L2N) problem by prop…

cs.CV2020★ 4 cited

Towards Photo-Realistic Virtual Try-On by Adaptively GeneratingPreserving Image Content

Han Yang, Ruimao Zhang, Xiaobao Guo +3

Image visual try-on aims at transferring a target clothing image onto a reference person, and has become a hot topic in recent years. Prior arts usually focus on preserving the cha…