activity
20202022
most citedAssessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

19 citations · 36 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV202219 cited

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

Sharib Ali, Noha Ghatwary, Debesh Jha +29

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and charac…

eess.IV202211 cited

Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning

Jiawei Yang, Hanbo Chen, Jiangpeng Yan +2

Few-shot learning is an established topic in natural images for years, but few work is attended to histology images, which is of high clinical value since well-labeled datasets and…

cs.CV2021

A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation

Feng Luo, Bin-Bin Gao, Jiangpeng Yan +1

Boundary-based instance segmentation has drawn much attention since of its attractive efficiency. However, existing methods suffer from the difficulty in long-distance regression.…

cs.LG2021

Efficient Continuous Control with Double Actors and Regularized Critics

Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan +1

How to obtain good value estimation is one of the key problems in Reinforcement Learning (RL). Current value estimation methods, such as DDPG and TD3, suffer from unnecessary over-…

cs.CV2020

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance

Zhe Xu, Jiangpeng Yan, Jie Luo +2

Multimodal image registration (MIR) is a fundamental procedure in many image-guided therapies. Recently, unsupervised learning-based methods have demonstrated promising performance…

cs.CV20203 cited

Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks

Zhe Xu, Jiangpeng Yan, Jie Luo +3

The loss function of an unsupervised multimodal image registration framework has two terms, i.e., a metric for similarity measure and regularization. In the deep learning era, rese…