9 citations · 39 across the 6 of their papers we have counts for
4 papers · 1 filter
Representing Noisy Image Without Denoising
Shuren Qi, Yushu Zhang, Chao Wang +3
A long-standing topic in artificial intelligence is the effective recognition of patterns from noisy images. In this regard, the recent data-driven paradigm considers 1) improving…
Style-Based Global Appearance Flow for Virtual Try-On
Sen He, Yi-Zhe Song, Tao Xiang
Image-based virtual try-on aims to fit an in-shop garment into a clothed person image. To achieve this, a key step is garment warping which spatially aligns the target garment with…
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji +4
Sketching enables many exciting applications, notably, image retrieval. The fear-to-sketch problem (i.e., "I can't sketch") has however proven to be fatal for its widespread adopti…
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu, Sen He, Yi-Zhe Song +1
Graph neural networks (GNNs) have been used to tackle the few-shot learning (FSL) problem and shown great potentials under the transductive setting. However under the inductive set…