223 citations · 761 across the 54 of their papers we have counts for
8 papers · 1 filter
Domain Generalization by Learning and Removing Domain-specific Features
Yu Ding, Lei Wang, Bin Liang +3
Deep Neural Networks (DNNs) suffer from domain shift when the test dataset follows a distribution different from the training dataset. Domain generalization aims to tackle this iss…
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix
Wenbin Li, Meihao Kong, Xuesong Yang +4
In recent years, a variety of contrastive learning based unsupervised visual representation learning methods have been designed and achieved great success in many visual tasks. Gen…
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection
Shan Zhang, Naila Murray, Lei Wang +1
In this paper, we tackle the challenging problem of Few-shot Object Detection. Existing FSOD pipelines (i) use average-pooled representations that result in information loss; and/o…
Towards Super-resolution via Iterative multi-exposure Coaddition
Lei Wang, Guoliang Li, Xi Kang
In this article, we provide an alternative up-sampling and PSF deconvolution method for the iterative multi-exposure coaddition. Different from the previous works, the new method h…
Deep Variational Free Energy Approach to Dense Hydrogen
Hao Xie, Zi-Hang Li, Han Wang +2
We developed a deep generative model-based variational free energy approach to the equations of state of dense hydrogen. We employ a normalizing flow network to model the proton Bo…
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
Yue Duan, Lei Qi, Lei Wang +2
In this work, we propose Reciprocal Distribution Alignment (RDA) to address semi-supervised learning (SSL), which is a hyperparameter-free framework that is independent of confiden…