activity
20182026
most citedDistribution Matching for Crowd Counting

172 citations · 215 across the 11 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023

Hierarchical Conditional Semi-Paired Image-to-Image Translation For Multi-Task Image Defect Correction On Shopping Websites

Moyan Li, Jinmiao Fu, Shaoyuan Xu +3

On shopping websites, product images of low quality negatively affect customer experience. Although there are plenty of work in detecting images with different defects, few efforts…

cs.CV2023

Token Sparsification for Faster Medical Image Segmentation

Lei Zhou, Huidong Liu, Joseph Bae +3

Can we use sparse tokens for dense prediction, e.g., segmentation? Although token sparsification has been applied to Vision Transformers (ViT) to accelerate classification, it is s…

cs.CV2022★ 7 cited

HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization

E. Mathian, H. Liu, L. Fernandez-Cuesta +3

Unsupervised anomaly detection and localization is a crucial task as it is impossible to collect and label all possible anomalies. Many studies have emphasized the importance of in…

cs.CV2021★ 9 cited

CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification

Huidong Liu, Shaoyuan Xu, Jinmiao Fu +5

Modern Web systems such as social media and e-commerce contain rich contents expressed in images and text. Leveraging information from multi-modalities can improve the performance…

cs.CV2020★ 172 cited

Distribution Matching for Crowd Counting

Boyu Wang, Huidong Liu, Dimitris Samaras +1

In crowd counting, each training image contains multiple people, where each person is annotated by a dot. Existing crowd counting methods need to use a Gaussian to smooth each anno…