349 citations · 557 across the 7 of their papers we have counts for
7 papers
DeepViT: Towards Deeper Vision Transformer
Daquan Zhou, Bingyi Kang, Xiaojie Jin +5
Vision transformers (ViTs) have been successfully applied in image classification tasks recently. In this paper, we show that, unlike convolution neural networks (CNNs)that can be…
RAIN: A Simple Approach for Robust and Accurate Image Classification Networks
Jiawei Du, Hanshu Yan, Vincent Y. F. Tan +3
It has been shown that the majority of existing adversarial defense methods achieve robustness at the cost of sacrificing prediction accuracy. The undesirable severe drop in accura…
PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection
Yue Liao, Si Liu, Fei Wang +3
We propose a single-stage Human-Object Interaction (HOI) detection method that has outperformed all existing methods on HICO-DET dataset at 37 fps on a single Titan XP GPU. It is t…
Unsupervised Image Noise Modeling with Self-Consistent GAN
Hanshu Yan, Xuan Chen, Vincent Y. F. Tan +3
Noise modeling lies in the heart of many image processing tasks. However, existing deep learning methods for noise modeling generally require clean and noisy image pairs for model…
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
Xiaoguang Tu, Jian Zhao, Zihang Jiang +6
3D face reconstruction from a single 2D image is a challenging problem with broad applications. Recent methods typically aim to learn a CNN-based 3D face model that regresses coeff…
Multiple-Human Parsing in the Wild
Jianshu Li, Jian Zhao, Yunchao Wei +5
Human parsing is attracting increasing research attention. In this work, we aim to push the frontier of human parsing by introducing the problem of multi-human parsing in the wild.…
A Unified Alternating Direction Method of Multipliers by Majorization Minimization
Canyi Lu, Jiashi Feng, Shuicheng Yan +1
Accompanied with the rising popularity of compressed sensing, the Alternating Direction Method of Multipliers (ADMM) has become the most widely used solver for linearly constrained…