317 citations · 1.3k across the 37 of their papers we have counts for
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Efficient Attention: Attention with Linear Complexities
Zhuoran Shen, Mingyuan Zhang, Haiyu Zhao +2
Dot-product attention has wide applications in computer vision and natural language processing. However, its memory and computational costs grow quadratically with the input size.…
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Yixiao Ge, Zhuowan Li, Haiyu Zhao +4
Person re-identification (reID) is an important task that requires to retrieve a person's images from an image dataset, given one image of the person of interest. For learning robu…
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo, Hongsheng Li, Shuai Yi +2
Monocular depth estimation aims at estimating a pixelwise depth map for a single image, which has wide applications in scene understanding and autonomous driving. Existing supervis…
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion
Zixuan Huang, Junming Fan, Shenggan Cheng +3
Dense depth cues are important and have wide applications in various computer vision tasks. In autonomous driving, LIDAR sensors are adopted to acquire depth measurements around th…
End-to-End Deep Kronecker-Product Matching for Person Re-identification
Yantao Shen, Tong Xiao, Hongsheng Li +2
Person re-identification aims to robustly measure similarities between person images. The significant variation of person poses and viewing angles challenges for accurate person re…
Deep Group-shuffling Random Walk for Person Re-identification
Yantao Shen, Hongsheng Li, Tong Xiao +3
Person re-identification aims at finding a person of interest in an image gallery by comparing the probe image of this person with all the gallery images. It is generally treated a…
Person Re-identification with Deep Similarity-Guided Graph Neural Network
Yantao Shen, Hongsheng Li, Shuai Yi +2
The person re-identification task requires to robustly estimate visual similarities between person images. However, existing person re-identification models mostly estimate the sim…