most citedDomain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network

12 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Pose-Guided Fine-Grained Sign Language Video Generation

Tongkai Shi, Lianyu Hu, Fanhua Shang +3

Sign language videos are an important medium for spreading and learning sign language. However, most existing human image synthesis methods produce sign language images with detail…

eess.IV2024

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image

Yunhao Li, Xiaodong Wang, Ping Wang +2

In this paper, we explore the potential of Snapshot Compressive Imaging (SCI) technique for recovering the underlying 3D scene representation from a single temporal compressed imag…

cs.CV2024

DerainNeRF: 3D Scene Estimation with Adhesive Waterdrop Removal

Yunhao Li, Jing Wu, Lingzhe Zhao +1

When capturing images through the glass during rainy or snowy weather conditions, the resulting images often contain waterdrops adhered on the glass surface, and these waterdrops s…

cs.RO202412 cited

Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network

Yin Zhang, Jinhong Deng, Peidong Liu +2

Visual detection of Micro Air Vehicles (MAVs) has attracted increasing attention in recent years due to its important application in various tasks. The existing methods for MAV det…

cs.CV20242 cited

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting

Lingzhe Zhao, Peng Wang, Peidong Liu

While neural rendering has demonstrated impressive capabilities in 3D scene reconstruction and novel view synthesis, it heavily relies on high-quality sharp images and accurate cam…