activity
20192021
most citedDeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

25 citations · 41 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation

Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji +2

Precise localization of polyp is crucial for early cancer screening in gastrointestinal endoscopy. Videos given by endoscopy bring both richer contextual information as well as mor…

cs.CV202115 cited

Multi-Compound Transformer for Accurate Biomedical Image Segmentation

Yuanfeng Ji, Ruimao Zhang, Huijie Wang +4

The recent vision transformer(i.e.for image classification) learns non-local attentive interaction of different patch tokens. However, prior arts miss learning the cross-scale depe…

cs.CV2020

Exemplar Normalization for Learning Deep Representation

Ruimao Zhang, Zhanglin Peng, Lingyun Wu +2

Normalization techniques are important in different advanced neural networks and different tasks. This work investigates a novel dynamic learning-to-normalize (L2N) problem by prop…

cs.CV2019

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

Cheng-Han Lee, Ziwei Liu, Lingyun Wu +1

Facial image manipulation has achieved great progress in recent years. However, previous methods either operate on a predefined set of face attributes or leave users little freedom…

cs.CV201925 cited

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

Yuying Ge, Ruimao Zhang, Lingyun Wu +3

Understanding fashion images has been advanced by benchmarks with rich annotations such as DeepFashion, whose labels include clothing categories, landmarks, and consumer-commercial…