923 citations · 1.5k across the 23 of their papers we have counts for
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ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
Shancheng Fang, Zhendong Mao, Hongtao Xie +3
Scene text spotting is of great importance to the computer vision community due to its wide variety of applications. Recent methods attempt to introduce linguistic knowledge for ch…
Gait Recognition in the Wild with Multi-hop Temporal Switch
Jinkai Zheng, Xinchen Liu, Xiaoyan Gu +5
Existing studies for gait recognition are dominated by in-the-lab scenarios. Since people live in real-world senses, gait recognition in the wild is a more practical problem that h…
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference
Yang Liu, Ersi Zhang, Lulu Xu +13
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) s…
Gait Recognition in the Wild with Dense 3D Representations and A Benchmark
Jinkai Zheng, Xinchen Liu, Wu Liu +3
Existing studies for gait recognition are dominated by 2D representations like the silhouette or skeleton of the human body in constrained scenes. However, humans live and walk in…
Multiple-environment Self-adaptive Network for Aerial-view Geo-localization
Tingyu Wang, Zhedong Zheng, Yaoqi Sun +3
Aerial-view geo-localization tends to determine an unknown position through matching the drone-view image with the geo-tagged satellite-view image. This task is mostly regarded as…