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Jim Chen

2 accepted papers

2024

GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation

ICLR 2024spotlight

The ground-state conformation of a molecule is often decisive for its properties. However, experimental or computational methods, such as density functional theory (DFT), are time-consuming and labor-intensive for obtaining this conformation. Deep learning (DL) based molecular representation learnin…

Cited by 5SourcePDFScholar
2020

Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement

NeurIPS 2020poster

This paper presents a new matching-based framework for semi-supervised video object segmentation (VOS). Recently, state-of-the-art VOS performance has been achieved by matching-based algorithms, in which feature banks are created to store features for region matching and classification. However, how…