151 citations · 606 across the 63 of their papers we have counts for
9 papers · 1 filter
Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images
Tianyu Liu, Hao Zhao, Yang Yu +2
Compositional neural scene graph studies have shown that radiance fields can be an efficient tool in an editable autonomous driving simulator. However, previous studies learned wit…
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection
Yu Chen, Yang Yu, Rongrong Ni +2
Deepfake technologies empowered by deep learning are rapidly evolving, creating new security concerns for society. Existing multimodal detection methods usually capture audio-visua…
SplatFlow: Learning Multi-frame Optical Flow via Splatting
Bo Wang, Yifan Zhang, Jian Li +4
The occlusion problem remains a crucial challenge in optical flow estimation (OFE). Despite the recent significant progress brought about by deep learning, most existing deep learn…
Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network
Runjia Li, Yang Yu, Charlie Haywood
In this paper, we address the problem of blind deblurring with high efficiency. We propose a set of lightweight deep-wiener-network to finish the task with real-time speed. The Net…
Domain generalization Person Re-identification on Attention-aware multi-operation strategery
Yingchun Guo, Huan He, Ye Zhu +1
Domain generalization person re-identification (DG Re-ID) aims to directly deploy a model trained on the source domain to the unseen target domain with good generalization, which i…
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion
Guanzhou Ke, Yongqi Zhu, Yang Yu
Multi-view representation learning is essential for many multi-view tasks, such as clustering and classification. However, there are two challenging problems plaguing the community…
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations
Yang Yu, Zixu Zhao, Yueming Jin +3
Surgical scene segmentation is fundamentally crucial for prompting cognitive assistance in robotic surgery. However, pixel-wise annotating surgical video in a frame-by-frame manner…
Mining Generalized Features for Detecting AI-Manipulated Fake Faces
Yang Yu, Rongrong Ni, Yao Zhao
Recently, AI-manipulated face techniques have developed rapidly and constantly, which has raised new security issues in society. Although existing detection methods consider differ…
Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
Ye Tian, Li Yang, Wei Wang +7
Goal: Squamous cell carcinoma of cervix is one of the most prevalent cancer worldwide in females. Traditionally, the most indispensable diagnosis of cervix squamous carcinoma is hi…