32 citations · 75 across the 8 of their papers we have counts for
6 papers · 1 filter
Multitask Identity-Aware Image Steganography via Minimax Optimization
Jiabao Cui, Pengyi Zhang, Songyuan Li +4
High-capacity image steganography, aimed at concealing a secret image in a cover image, is a technique to preserve sensitive data, e.g., faces and fingerprints. Previous methods fo…
VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation
Pengyi Zhang, Huanzhang Dou, Wenhu Zhang +4
Gait recognition has a rapid development in recent years. However, gait recognition in the wild is not well explored yet. An obvious reason could be ascribed to the lack of diverse…
Recent Advances and Trends in Multimodal Deep Learning: A Review
Jabeen Summaira, Xi Li, Amin Muhammad Shoib +2
Deep Learning has implemented a wide range of applications and has become increasingly popular in recent years. The goal of multimodal deep learning is to create models that can pr…
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
Peng Sun, Wenhu Zhang, Huanyu Wang +2
RGB-D salient object detection (SOD) is usually formulated as a problem of classification or regression over two modalities, i.e., RGB and depth. Hence, effective RGBD feature mode…
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning
Hui Wang, Jian Tian, Songyuan Li +4
Unsupervised domain adaptation (UDA) typically carries out knowledge transfer from a label-rich source domain to an unlabeled target domain by adversarial learning. In principle, e…
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios
Huanzhang Dou, Wenhu Zhang, Pengyi Zhang +6
With the motivation of practical gait recognition applications, we propose to automatically create a large-scale synthetic gait dataset (called VersatileGait) by a game engine, whi…