6 citations · 10 across the 6 of their papers we have counts for
6 papers
NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
Zehan Zheng, Danni Wu, Ruisi Lu +3
In recent years, there has been a significant increase in focus on the interpolation task of computer vision. Despite the tremendous advancement of video interpolation, point cloud…
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
Tianhang Wang, Guang Chen, Kai Chen +4
Multi-agent collaborative perception (MCP) has recently attracted much attention. It includes three key processes: communication for sharing, collaboration for integration, and rec…
Modality-Agnostic Debiasing for Single Domain Generalization
Sanqing Qu, Yingwei Pan, Guang Chen +3
Deep neural networks (DNNs) usually fail to generalize well to outside of distribution (OOD) data, especially in the extreme case of single domain generalization (single-DG) that t…
Upcycling Models under Domain and Category Shift
Sanqing Qu, Tianpei Zou, Florian Roehrbein +4
Deep neural networks (DNNs) often perform poorly in the presence of domain shift and category shift. How to upcycle DNNs and adapt them to the target task remains an important open…
TMA: Temporal Motion Aggregation for Event-based Optical Flow
Haotian Liu, Guang Chen, Sanqing Qu +4
Event cameras have the ability to record continuous and detailed trajectories of objects with high temporal resolution, thereby providing intuitive motion cues for optical flow est…
Unified Multimodal Model with Unlikelihood Training for Visual Dialog
Zihao Wang, Junli Wang, Changjun Jiang
The task of visual dialog requires a multimodal chatbot to answer sequential questions from humans about image content. Prior work performs the standard likelihood training for ans…