Search Results for author:
Found 7 papers, 4 papers with code
Continual Learning of Large Language Models: A Comprehensive Survey
In this survey, we provide a comprehensive overview of the current research progress on LLMs within the context of CL.
MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video
Thanks to the expressiveness of neural representations, prior works can accurately capture the motion and achieve high-fidelity reconstruction of the target object.
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid representation, that performs robust camera tracking and high-fidelity surface reconstruction in real time.
Boosting Video Object Segmentation based on Scale Inconsistency
We present a refinement framework to boost the performance of pre-trained semi-supervised video object segmentation (VOS) models.
Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings
We present methods to estimate the physical properties of household containers and their fillings manipulated by humans.
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Reliably predicting the products of chemical reactions presents a fundamental challenge in synthetic chemistry.
Non-autoregressive electron flow generation for reaction prediction
Our model achieves both an order of magnitude lower inference latency, with state-of-the-art top-1 accuracy and comparable performance on Top-K sampling.
