78 citations · 238 across the 20 of their papers we have counts for
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cs.CV2022
Robust Graph Structure Learning via Multiple Statistical Tests
Yaohua Wang, FangYi Zhang, Ming Lin +3
Graph structure learning aims to learn connectivity in a graph from data. It is particularly important for many computer vision related tasks since no explicit graph structure is a…
eess.IV2022★ 14 cited
Entroformer: A Transformer-based Entropy Model for Learned Image Compression
Yichen Qian, Ming Lin, Xiuyu Sun +2
One critical component in lossy deep image compression is the entropy model, which predicts the probability distribution of the quantized latent representation in the encoding and…
cs.CV2022★ 78 cited
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
Yiqi Jiang, Zhiyu Tan, Junyan Wang +3
In conventional object detection frameworks, a backbone body inherited from image recognition models extracts deep latent features and then a neck module fuses these latent feature…