143 citations · 342 across the 17 of their papers we have counts for
5 papers · 1 filter
Portmanteauing Features for Scene Text Recognition
Yew Lee Tan, Ernest Yu Kai Chew, Adams Wai-Kin Kong +2
Scene text images have different shapes and are subjected to various distortions, e.g. perspective distortions. To handle these challenges, the state-of-the-art methods rely on a r…
Pure Transformer with Integrated Experts for Scene Text Recognition
Yew Lee Tan, Adams Wai-kin Kong, Jung-Jae Kim
Scene text recognition (STR) involves the task of reading text in cropped images of natural scenes. Conventional models in STR employ convolutional neural network (CNN) followed by…
A fully differentiable ligand pose optimization framework guided by deep learning and traditional scoring functions
Zechen Wang, Liangzhen Zheng, Sheng Wang +6
The machine learning (ML) and deep learning (DL) techniques are widely recognized to be powerful tools for virtual drug screening. The recently reported ML- or DL-based scoring fun…
Transferable Adversarial Attack based on Integrated Gradients
Yi Huang, Adams Wai-Kin Kong
The vulnerability of deep neural networks to adversarial examples has drawn tremendous attention from the community. Three approaches, optimizing standard objective functions, expl…
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
Fan Wang, Adams Wai-Kin Kong
Model attributions are important in deep neural networks as they aid practitioners in understanding the models, but recent studies reveal that attributions can be easily perturbed…