18 citations · 30 across the 10 of their papers we have counts for
10 papers
FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping
Yu Zhang, Hao Zeng, Bowen Ma +5
This work proposes a novel face-swapping framework FlowFace++, utilizing explicit semantic flow supervision and end-to-end architecture to facilitate shape-aware face-swapping. Spe…
FlowFace: Semantic Flow-guided Shape-aware Face Swapping
Hao Zeng, Wei Zhang, Changjie Fan +7
In this work, we propose a semantic flow-guided two-stage framework for shape-aware face swapping, namely FlowFace. Unlike most previous methods that focus on transferring the sour…
Global-to-local Expression-aware Embeddings for Facial Action Unit Detection
Rudong An, Wei Zhang, Hao Zeng +3
Expressions and facial action units (AUs) are two levels of facial behavior descriptors. Expression auxiliary information has been widely used to improve the AU detection performan…
Transformer-based Multimodal Information Fusion for Facial Expression Analysis
Wei Zhang, Feng Qiu, Suzhen Wang +5
Human affective behavior analysis has received much attention in human-computer interaction (HCI). In this paper, we introduce our submission to the CVPR 2022 Competition on Affect…
A Deep Reinforcement Learning Approach for Online Parcel Assignment
Hao Zeng, Qiong Wu, Kunpeng Han +2
In this paper, we investigate the online parcel assignment (OPA) problem, in which each stochastically generated parcel needs to be assigned to a candidate route for delivery to mi…
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization
Xin Qin, Hanbin Zhao, Guangchen Lin +3
Temporal action localization is an important and challenging task that aims to locate temporal regions in real-world untrimmed videos where actions occur and recognize their classe…
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hao Zeng, Qingjie Liu, Mingming Zhang +2
Hyperspectral image classification (HIC) is an important but challenging task, and a problem that limits the algorithmic development in this field is that the ground truths of hype…
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao, Hao Zeng, Xin Qin +4
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain…
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection
Qingdong He, Zhengning Wang, Hao Zeng +3
3D object detection has become an emerging task in autonomous driving scenarios. Previous works process 3D point clouds using either projection-based or voxel-based models. However…
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
Qingdong He, Zhengning Wang, Hao Zeng +2
Accurate 3D object detection from point clouds has become a crucial component in autonomous driving. However, the volumetric representations and the projection methods in previous…