research
∙
08/17/2023
Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
Text recognition methods are gaining rapid development. Some advanced te...
share
research
∙
08/15/2023
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition
Visual chart recognition systems are gaining increasing attention due to...
research
∙
07/27/2023
Generative AI for Medical Imaging: extending the MONAI Framework
Recent advances in generative AI have brought incredible breakthroughs i...
research
∙
05/17/2023
Lingo3DMol: Generation of a Pocket-based 3D Molecule using a Language Model
Structure-based drug design powered by deep generative models have attra...
research
∙
12/06/2022
RBF-MGN:Solving spatiotemporal PDEs with Physics-informed Graph Neural Network
Physics-informed neural networks (PINNs) have lately received significan...
research
∙
10/19/2022
Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks
Physics-informed neural networks (PINNs) have been proposed to solve two...
research
∙
10/14/2022
Psychology-guided Controllable Story Generation
Controllable story generation is a challenging task in the field of NLP,...
research
∙
08/09/2022
ASR Error Correction with Constrained Decoding on Operation Prediction
Error correction techniques remain effective to refine outputs from auto...
research
∙
05/01/2022
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
Micro-expression recognition (MER) is valuable because the involuntary n...
research
∙
03/11/2019
