[arXiv] CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu CVPR 2024, 25 Mar 2024 [arXiv] [Project] UPNeRF: A ...

Abstract: In the context of data-driven decision-making, constructing accurate and well-generalized probabilistic forecasting models to handle dynamic, complex, and high-dimensional multivariate time ...

Abstract: Recommender systems aim to accurately predict user preferences in order to provide potential items of interests. However, the highly skewed long-tail item distribution leads the models to ...

Add a relevant paper not yet included. Suggest a more suitable category. Update the information. Ask for clarification about any content. While large-scale pretraining has significantly improved video ...

This paper begins with a description of methods for estimating probability density functions for images that reflects the observation that such data is usually constrained to lie in restricted regions ...

Due to the cumbersome and expensive data collection process, facial action unit (AU) datasets are generally much smaller in scale than those in other computer vision fields, resulting in overfitting ...

Beijing National Research Center for Information Science and Technology (BNRist), Beijing 100084, People’s Republic of China Department of Automation, Tsinghua University, Beijing 100084, People’s ...

Visualizing data and finding patterns in data are ubiquitous problems in the sciences. Increasingly, applications seek signal and structure in a contrastive setting: a foreground dataset relative to a ...