The vulnerability of deep neural network models to adversarial example
a...
Wasserstein Barycenter Problem (WBP) has recently received much attentio...
The physical attack has been regarded as a kind of threat against real-w...
Supervised crowd counting relies heavily on costly manual labeling, whic...
We introduce Correlational Image Modeling (CIM), a novel and surprisingl...
Despite the remarkable progress of image captioning, existing captioners...
We present Masked Frequency Modeling (MFM), a unified frequency-domain-b...
Self-supervised learning (SSL) holds promise in leveraging large amounts...
Contrastive self-supervised learning has largely narrowed the gap to
sup...
We consider a general class of nonconvex-PL minimax problems in the
cros...
Coarse-to-fine models and cascade segmentation architectures are widely
...
Graph matching finds the correspondence of nodes across two graphs and i...
Contrastive learning has recently shown immense potential in unsupervise...
Joint clustering and feature learning methods have shown remarkable
perf...
This paper focuses on projection-free methods for solving smooth Online
...
This paper focuses on projection-free methods for solving smooth Online
...
In this paper, we explore a general Aggregated Gradient Langevin Dynamic...