Search Results for author: Chunwei Ma

Found 9 papers, 3 papers with code

Continual Domain Adversarial Adaptation via Double-Head Discriminators

no code implementations5 Feb 2024 Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

We prove that with the introduction of a pre-trained source-only domain discriminator, the empirical estimation error of $\gH$-divergence related adversarial loss is reduced from the source domain side.

Continual Learning Domain Adaptation

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning

no code implementations28 Jul 2022 Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu

Exemplar-free Class-incremental Learning (CIL) is a challenging problem because rehearsing data from previous phases is strictly prohibited, causing catastrophic forgetting of Deep Neural Networks (DNNs).

Class Incremental Learning Incremental Learning +1

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning

no code implementations5 May 2022 Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

Based on our particle filter inference algorithm, a semi-supervised learn-ing algorithm is utilized for learning tracking network on intermittent labeled frames by variational inference.

Variational Inference Visual Object Tracking

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach

1 code implementation5 Feb 2022 Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu

One observation is that the widely embraced ProtoNet model is essentially a Voronoi Diagram (VD) in the feature space.

Few-Shot Learning

Few-shot Learning via Dirichlet Tessellation Ensemble

no code implementations ICLR 2022 Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu

One observation is that the widely embraced ProtoNet model is essentially a Dirichlet Tessellation (Voronoi Diagram) in the feature space.

Few-Shot Learning

Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization

1 code implementation25 Jun 2021 Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu

Deep Neural Networks (DNNs), despite their tremendous success in recent years, could still cast doubts on their predictions due to the intrinsic uncertainty associated with their learning process.

A Stochastic Gradient Langevin Dynamics Algorithm For Noise Intrinsic Federated Learning

no code implementations1 Jan 2021 Yan Shen, Jian Du, Chunwei Ma, Mingchen Gao, Benyu Zhang

Our introduced SGLD oracle would lower generalization errors in local node's parameter learning and provide local node DP protections.

Federated Learning

Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation

no code implementations5 Nov 2019 Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao

In this paper, we use only two kinds of weak labels, i. e., scribbles on whole tumor and healthy brain tissue, and global labels for the presence of each substructure, to train a deep learning model to segment all the sub-regions.

Brain Tumor Segmentation Clustering +4

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data

1 code implementation20 Sep 2019 Chunwei Ma, Zhanghexuan Ji, Mingchen Gao

Three-dimensional medical image segmentation is one of the most important problems in medical image analysis and plays a key role in downstream diagnosis and treatment.

Benchmarking Ensemble Learning +6

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