activity
20212023
most citedMeta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

162 citations · 303 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2023

Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations

Rongliang Wu, Yingchen Yu, Fangneng Zhan +3

Audio-driven talking face generation, which aims to synthesize talking faces with realistic facial animations (including accurate lip movements, vivid facial expression details and…

cs.CV2023

POCE: Pose-Controllable Expression Editing

Rongliang Wu, Yingchen Yu, Fangneng Zhan +3

Facial expression editing has attracted increasing attention with the advance of deep neural networks in recent years. However, most existing methods suffer from compromised editin…

cs.CV20223 cited

Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer

Zhipeng Luo, Changqing Zhou, Liang Pan +6

With the prevalence of LiDAR sensors in autonomous driving, 3D object tracking has received increasing attention. In a point cloud sequence, 3D object tracking aims to predict the…

cs.CV2022

TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection

Zhipeng Luo, Gongjie Zhang, Changqing Zhou +3

3D object detection using point clouds has attracted increasing attention due to its wide applications in autonomous driving and robotics. However, most existing studies focus on s…

cs.CV20223 cited

Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution

Jiahui Zhang, Fangneng Zhan, Yingchen Yu +3

Recently, single image super-resolution (SR) under large scaling factors has witnessed impressive progress by introducing pre-trained generative adversarial networks (GANs) as prio…

cs.CV202238 cited

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Aoran Xiao, Jiaxing Huang, Dayan Guan +3

LiDAR point clouds, which are usually scanned by rotating LiDAR sensors continuously, capture precise geometry of the surrounding environment and are crucial to many autonomous det…