Search Results for author:
Found 9 papers, 2 papers with code
Deep Learning Enhanced Multivariate GARCH
This paper introduces a novel multivariate volatility modeling framework, named Long Short-Term Memory enhanced BEKK (LSTM-BEKK), that integrates deep learning into multivariate GARCH processes.
NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors
Surface normal estimation serves as a cornerstone for a spectrum of computer vision applications.
Enabling Inclusive Systematic Reviews: Incorporating Preprint Articles with Large Language Model-Driven Evaluations
The random forest classifier achieved AUROC 0. 692 with LLM-driven scores, improving to 0. 733 with semantic embeddings and 0. 747 with article usage metrics.
Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning
To reduce the human labor cost of demonstration collection, we proposed a low-cost demonstration collection method based on Nonlinear Model Predictive Control (NMPC).
Deep Reinforcement Learning
Deformable Object Manipulation
+2
MAGE : Single Image to Material-Aware 3D via the Multi-View G-Buffer Estimation Model
Finally, we propose a large-scale synthetic dataset rich in material diversity for our model training.
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields
Our method has two stages: the geometry of the target object and the pre-filtered environmental radiance fields are reconstructed in the first stage, and materials of the target object are estimated in the second stage with the proposed NeP and material-aware cone sampling strategy.
Lighting up NeRF via Unsupervised Decomposition and Enhancement
Neural Radiance Field (NeRF) is a promising approach for synthesizing novel views, given a set of images and the corresponding camera poses of a scene.
Local Color Distributions Prior for Image Enhancement
Existing image enhancement methods are typically designed to address either the over- or under-exposure problem in the input image.
Ranked #3 on
Image Enhancement
on Exposure-Errors
Multi-Granularity Modularized Network for Abstract Visual Reasoning
Abstract visual reasoning connects mental abilities to the physical world, which is a crucial factor in cognitive development.
