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20172022
most citedRandom Erasing Data Augmentation

748 citations · 1.8k across the 27 of their papers we have counts for

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38 papers · 1 filter

cs.CV2021

Weakly Supervised Person Search with Region Siamese Networks

Chuchu Han, Kai Su, Dongdong Yu +5

Supervised learning is dominant in person search, but it requires elaborate labeling of bounding boxes and identities. Large-scale labeled training data is often difficult to colle…

cs.CV2021

Generating Superpixels for High-resolution Images with Decoupled Patch Calibration

Yaxiong Wang, Yunchao Wei, Xueming Qian +2

Superpixel segmentation has recently seen important progress benefiting from the advances in differentiable deep learning. However, the very high-resolution superpixel segmentation…

cs.CV2021

PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion

Haitian Zeng, Yuchao Dai, Xin Yu +2

We propose PR-RRN, a novel neural-network based method for Non-rigid Structure-from-Motion (NRSfM). PR-RRN consists of Residual-Recursive Networks (RRN) and two extra regularizatio…

cs.CV202119 cited

Associating Objects with Transformers for Video Object Segmentation

Zongxin Yang, Yunchao Wei, Yi Yang

This paper investigates how to realize better and more efficient embedding learning to tackle the semi-supervised video object segmentation under challenging multi-object scenarios…

cs.CV20212 cited

Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes

Jian-Wei Zhang, Lei Lv, Yawei Luo +3

Few-shot segmentation~(FSS) performance has been extensively promoted by introducing episodic training and class-wise prototypes. However, the FSS problem remains challenging due t…

cs.CV20212 cited

VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots

Yuan Gan, Yawei Luo, Xin Yu +2

In this paper, we investigate the task of hallucinating an authentic high-resolution (HR) human face from multiple low-resolution (LR) video snapshots. We propose a pure transforme…