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20142020
most citedLow-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification

195 citations · 424 across the 13 of their papers we have counts for

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11 papers · 1 filter

cs.CV2020★ 1 cited

Distribution-aware Margin Calibration for Medical Image Segmentation

Zhibin Li, Litao Yu, Jian Zhang

The Jaccard index, also known as Intersection-over-Union (IoU score), is one of the most critical evaluation metrics in medical image segmentation. However, directly optimizing the…

cs.CV2020

Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection

Lu Zhang, Jian Zhang, Zhibin Li +1

Inspired by the fact that spreading and collecting information through the Internet becomes the norm, more and more people choose to post for-profit contents (images and texts) in…

cs.CV2019★ 195 cited

Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification

Huaxi Huang, Junjie Zhang, Jian Zhang +2

Deep neural networks have demonstrated advanced abilities on various visual classification tasks, which heavily rely on the large-scale training samples with annotated ground-truth…

cs.CV2019

Extracting Visual Knowledge from the Internet: Making Sense of Image Data

Yazhou Yao, Jian Zhang, Xiansheng Hua +2

Recent successes in visual recognition can be primarily attributed to feature representation, learning algorithms, and the ever-increasing size of labeled training data. Extensive…

cs.CV2019★ 19 cited

Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification

Guodong Ding, Salman Khan, Zhenmin Tang +2

Person re-identification aims to establish the correct identity correspondences of a person moving through a non-overlapping multi-camera installation. Recent advances based on dee…

cs.CV2019★ 1 cited

Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks

Muming Zhao, Jian Zhang, Chongyang Zhang +1

High-density object counting in surveillance scenes is challenging mainly due to the drastic variation of object scales. The prevalence of deep learning has largely boosted the obj…

cs.CV2018★ 1 cited

Deep Bi-Dense Networks for Image Super-Resolution

Yucheng Wang, Jialiang Shen, Jian Zhang

This paper proposes Deep Bi-Dense Networks (DBDN) for single image super-resolution. Our approach extends previous intra-block dense connection approaches by including novel inter-…

cs.CV2018★ 112 cited

Multi-pseudo Regularized Label for Generated Data in Person Re-Identification

Yan Huang, Jinsong Xu, Qiang Wu +3

Sufficient training data normally is required to train deeply learned models. However, due to the expensive manual process for labelling large number of images, the amount of avail…

cs.CV2016★ 79 cited

Exploiting Web Images for Dataset Construction: A Domain Robust Approach

Yazhou Yao, Jian Zhang, Fumin Shen +3

Labelled image datasets have played a critical role in high-level image understanding. However, the process of manual labelling is both time-consuming and labor intensive. To reduc…

cs.CV2016

A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds

Xiaoshui Huang, Jian Zhang, Qiang Wu +2

With the development of numerous 3D sensing technologies, object registration on cross-source point cloud has aroused researchers' interests. When the point clouds are captured fro…

cs.CV2014★ 11 cited

Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling

Tianfei Zhou, Yao Lu, Feng Lv +3

Stochastic sampling based trackers have shown good performance for abrupt motion tracking so that they have gained popularity in recent years. However, conventional methods tend to…