research
∙
06/29/2023
Towards Optimal Randomized Strategies in Adversarial Example Game
The vulnerability of deep neural network models to adversarial example a...
share
research
∙
04/23/2023
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem
Wasserstein Barycenter Problem (WBP) has recently received much attentio...
research
∙
04/16/2023
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems
The physical attack has been regarded as a kind of threat against real-w...
research
∙
04/09/2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
Supervised crowd counting relies heavily on costly manual labeling, whic...
research
∙
03/22/2023
Correlational Image Modeling for Self-Supervised Visual Pre-Training
We introduce Correlational Image Modeling (CIM), a novel and surprisingl...
research
∙
12/04/2022
Controllable Image Captioning via Prompting
Despite the remarkable progress of image captioning, existing captioners...
research
∙
06/15/2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
We present Masked Frequency Modeling (MFM), a unified frequency-domain-b...
research
∙
03/14/2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
Self-supervised learning (SSL) holds promise in leveraging large amounts...
research
∙
06/22/2021
Unsupervised Object-Level Representation Learning from Scene Images
Contrastive self-supervised learning has largely narrowed the gap to sup...
research
∙
05/29/2021
A Federated Learning Framework for Nonconvex-PL Minimax Problems
We consider a general class of nonconvex-PL minimax problems in the cros...
research
∙
02/11/2021
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Coarse-to-fine models and cascade segmentation architectures are widely ...
research
∙
12/02/2020
Partial Gromov-Wasserstein Learning for Partial Graph Matching
Graph matching finds the correspondence of nodes across two graphs and i...
research
∙
08/26/2020
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Contrastive learning has recently shown immense potential in unsupervise...
research
∙
06/18/2020
Online Deep Clustering for Unsupervised Representation Learning
Joint clustering and feature learning methods have shown remarkable perf...
research
∙
10/21/2019
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
This paper focuses on projection-free methods for solving smooth Online ...
research
∙
10/21/2019
Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning
This paper focuses on projection-free methods for solving smooth Online ...
research
∙
10/21/2019
