activity
20182022
most citedReference-based Defect Detection Network

49 citations · 143 across the 11 of their papers we have counts for

collaborators

16 papers

cs.CV20226 cited

Semantic-Conditional Diffusion Networks for Image Captioning

Jianjie Luo, Yehao Li, Yingwei Pan +4

Recent advances on text-to-image generation have witnessed the rise of diffusion models which act as powerful generative models. Nevertheless, it is not trivial to exploit such lat…

cs.LG2022

Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization

Jingyang Lin, Yu Wang, Qi Cai +4

Outlier detection tasks have been playing a critical role in AI safety. There has been a great challenge to deal with this task. Observations show that deep neural network classifi…

cs.CV202149 cited

Reference-based Defect Detection Network

Zhaoyang Zeng, Bei Liu, Jianlong Fu +1

The defect detection task can be regarded as a realistic scenario of object detection in the computer vision field and it is widely used in the industrial field. Directly applying…

cs.CV20211 cited

A Low Rank Promoting Prior for Unsupervised Contrastive Learning

Yu Wang, Jingyang Lin, Qi Cai +4

Unsupervised learning is just at a tipping point where it could really take off. Among these approaches, contrastive learning has seen tremendous progress and led to state-of-the-a…

cs.CV202124 cited

Rethinking and Improving Relative Position Encoding for Vision Transformer

Kan Wu, Houwen Peng, Minghao Chen +2

Relative position encoding (RPE) is important for transformer to capture sequence ordering of input tokens. General efficacy has been proven in natural language processing. However…

cs.CV202119 cited

3D Human Body Reshaping with Anthropometric Modeling

Yanhong Zeng, Jianlong Fu, Hongyang Chao

Reshaping accurate and realistic 3D human bodies from anthropometric parameters (e.g., height, chest size, etc.) poses a fundamental challenge for person identification, online sho…