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20132026
most citedMargin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

79 citations · 234 across the 27 of their papers we have counts for

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12 papers · 1 filter

cs.CV2022★ 2 cited

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization

Wujiang Xu, Runzhong Wang, Xiaobo Guo +6

Video summarization intends to produce a concise video summary by effectively capturing and combining the most informative parts of the whole content. Existing approaches for video…

cs.CV2021★ 79 cited

Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng +3

To bridge the gap between the source and target domains in unsupervised domain adaptation (UDA), the most common strategy puts focus on matching the marginal distributions in the f…

cs.CV2020★ 8 cited

Taking Modality-free Human Identification as Zero-shot Learning

Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu +3

Human identification is an important topic in event detection, person tracking, and public security. There have been numerous methods proposed for human identification, such as fac…

cs.CV2020★ 3 cited

From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition

Fuzhen Li, Zhenfeng Zhu, Xingxing Zhang +2

In zero-shot learning (ZSL), the samples to be classified are usually projected into side information templates such as attributes. However, the irregular distribution of templates…

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

ProLFA: Representative Prototype Selection for Local Feature Aggregation

Xingxing Zhang, Zhenfeng Zhu, Yao Zhao

Given a set of hand-crafted local features, acquiring a global representation via aggregation is a promising technique to boost computational efficiency and improve task performanc…

cs.CV2019★ 3 cited

Hierarchical Prototype Learning for Zero-Shot Recognition

Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu +2

Zero-Shot Learning (ZSL) has received extensive attention and successes in recent years especially in areas of fine-grained object recognition, retrieval, and image captioning. Key…

cs.CV2019★ 3 cited

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries

Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu +2

Zero-shot learning (ZSL) has received extensive attention recently especially in areas of fine-grained object recognition, retrieval, and image captioning. Due to the complete lack…

cs.CV2019★ 36 cited

UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…

cs.CV2015★ 13 cited

Indexing of CNN Features for Large Scale Image Search

Ruoyu Liu, Yao Zhao, Shikui Wei +1

The convolutional neural network (CNN) features can give a good description of image content, which usually represent images with unique global vectors. Although they are compact c…

cs.CV2015

Modality-dependent Cross-media Retrieval

Yunchao Wei, Yao Zhao, Zhenfeng Zhu +4

In this paper, we investigate the cross-media retrieval between images and text, i.e., using image to search text (I2T) and using text to search images (T2I). Existing cross-media…

cs.CV2013★ 1 cited

Kernel Reconstruction ICA for Sparse Representation

Yanhui Xiao, Zhenfeng Zhu, Yao Zhao

Independent Component Analysis (ICA) is an effective unsupervised tool to learn statistically independent representation. However, ICA is not only sensitive to whitening but also d…