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20142023
most citedScene Text Detection via Holistic, Multi-Channel Prediction

212 citations · 838 across the 55 of their papers we have counts for

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Showing 2021Show all

19 papers · 1 filter

cs.CV2021

Multi-Centroid Representation Network for Domain Adaptive Person Re-ID

Yuhang Wu, Tengteng Huang, Haotian Yao +5

Recently, many approaches tackle the Unsupervised Domain Adaptive person re-identification (UDA re-ID) problem through pseudo-label-based contrastive learning. During training, a u…

cs.CV2021★ 4 cited

Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval

Zongheng Huang, YiFan Sun, Chuchu Han +2

This paper tackles the Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) problem from the viewpoint of cross-modality metric learning. This task has two characteristics: 1) the zero…

cs.CV2021★ 25 cited

Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior

Feng Zhang, Yuanjie Shao, Yishi Sun +3

Deep learning-based methods for low-light image enhancement typically require enormous paired training data, which are impractical to capture in real-world scenarios. Recently, uns…

cs.CV2021

Implicit Neural Deformation for Sparse-View Face Reconstruction

Moran Li, Haibin Huang, Yi Zheng +3

In this work, we present a new method for 3D face reconstruction from sparse-view RGB images. Unlike previous methods which are built upon 3D morphable models (3DMMs) with limited…

cs.CV2021★ 13 cited

Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation

Rui Wang, Jian Chen, Gang Yu +4

Image manipulation with StyleGAN has been an increasing concern in recent years.Recent works have achieved tremendous success in analyzing several semantic latent spaces to edit th…

cs.CV2021★ 20 cited

CondNet: Conditional Classifier for Scene Segmentation

Changqian Yu, Yuanjie Shao, Changxin Gao +1

The fully convolutional network (FCN) has achieved tremendous success in dense visual recognition tasks, such as scene segmentation. The last layer of FCN is typically a global cla…