activity
20202022
most citedMoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

14 citations · 38 across the 10 of their papers we have counts for

collaborators

13 papers

cs.CV2022

Multiple Perturbation Attack: Attack Pixelwise Under Different -norms For Better Adversarial Performance

Ngoc N. Tran, Anh Tuan Bui, Dinh Phung +1

Adversarial machine learning has been both a major concern and a hot topic recently, especially with the ubiquitous use of deep neural networks in the current landscape. Adversaria…

cs.CL2022

Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?

Thuy-Trang Vu, Shahram Khadivi, Xuanli He +2

Previous works mostly focus on either multilingual or multi-domain aspects of neural machine translation (NMT). This paper investigates whether the domain information can be transf…

cs.CV20223 cited

Vision Transformer Visualization: What Neurons Tell and How Neurons Behave?

Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong +4

Recently vision transformers (ViT) have been applied successfully for various tasks in computer vision. However, important questions such as why they work or how they behave still…

cs.CR20224 cited

Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle

Van Nguyen, Trung Le, Chakkrit Tantithamthavorn +3

Software vulnerabilities (SVs) have become a common, serious and crucial concern due to the ubiquity of computer software. Many machine learning-based approaches have been proposed…

cs.CV202214 cited

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

Chuanxia Zheng, Long Tung Vuong, Jianfei Cai +1

Although two-stage Vector Quantized (VQ) generative models allow for synthesizing high-fidelity and high-resolution images, their quantization operator encodes similar patches with…

cs.CV20227 cited

High-Quality Pluralistic Image Completion via Code Shared VQGAN

Chuanxia Zheng, Guoxian Song, Tat-Jen Cham +3

PICNet pioneered the generation of multiple and diverse results for image completion task, but it required a careful balance between loss (diversity) and reconstruct…