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Found 7 papers, 2 papers with code
Air-Writing Translater: A Novel Unsupervised Domain Adaptation Method for Inertia-Trajectory Translation of In-air Handwriting
As a new way of human-computer interaction, inertial sensor based in-air handwriting can provide a natural and unconstrained interaction to express more complex and richer information in 3D space.
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction
However, neither sequences nor contact maps can fully characterize structures and functions of the proteins, which are closely related to the PPI problem.
GIRAFFE HD: A High-Resolution 3D-aware Generative Model
3D-aware generative models have shown that the introduction of 3D information can lead to more controllable image generation.
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding
Multi-modal document pre-trained models have proven to be very effective in a variety of visually-rich document understanding (VrDU) tasks.
HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle
Due to the complex model architecture and large memory consumption, it requires lots of computational resources and time to implement the training and inference of AlphaFold2 from scratch.
GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction
In this representation, the vertexes and edges of the grid store the localization and adjacency information of the table.
HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights
While monomer protein structure prediction tools boast impressive accuracy, the prediction of protein complex structures remains a daunting challenge in the field.
