742 citations · 973 across the 22 of their papers we have counts for
30 papers
ONeRF: Unsupervised 3D Object Segmentation from Multiple Views
Shengnan Liang, Yichen Liu, Shangzhe Wu +2
We present ONeRF, a method that automatically segments and reconstructs object instances in 3D from multi-view RGB images without any additional manual annotations. The segmented 3…
H-VFI: Hierarchical Frame Interpolation for Videos with Large Motions
Changlin Li, Guangyang Wu, Yanan Sun +3
Capitalizing on the rapid development of neural networks, recent video frame interpolation (VFI) methods have achieved notable improvements. However, they still fall short for real…
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Qi Fan, Mattia Segu, Yu-Wing Tai +4
Improving model's generalizability against domain shifts is crucial, especially for safety-critical applications such as autonomous driving. Real-world domain styles can vary subst…
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation
Xinhang Liu, Jiaben Chen, Huai Yu +2
We present radiance field propagation (RFP), a novel approach to segmenting objects in 3D during reconstruction given only unlabeled multi-view images of a scene. RFP is derived fr…
Human Instance Matting via Mutual Guidance and Multi-Instance Refinement
Yanan Sun, Chi-Keung Tang, Yu-Wing Tai
This paper introduces a new matting task called human instance matting (HIM), which requires the pertinent model to automatically predict a precise alpha matte for each human insta…
Interactiveness Field in Human-Object Interactions
Xinpeng Liu, Yong-Lu Li, Xiaoqian Wu +3
Human-Object Interaction (HOI) detection plays a core role in activity understanding. Though recent two/one-stage methods have achieved impressive results, as an essential step, di…