activity
20192023
most citedPalmprint Recognition in Uncontrolled and Uncooperative Environment

143 citations · 342 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CV2023★ 2 cited

Improving Hand Recognition in Uncontrolled and Uncooperative Environments using Multiple Spatial Transformers and Loss Functions

Wojciech Michal Matkowski, Xiaojie Li, Adams Wai Kin Kong

The prevalence of smartphone and consumer camera has led to more evidence in the form of digital images, which are mostly taken in uncontrolled and uncooperative environments. In t…

cs.CV2023★ 2 cited

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong

Text-driven diffusion models have exhibited impressive generative capabilities, enabling various image editing tasks. In this paper, we propose TF-ICON, a novel Training-Free Image…

cs.CV2023

Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning

Xiaobao Guo, Nithish Muthuchamy Selvaraj, Zitong Yu +3

Deception detection in conversations is a challenging yet important task, having pivotal applications in many fields such as credibility assessment in business, multimedia anti-fra…

cs.LG2023

A Practical Upper Bound for the Worst-Case Attribution Deviations

Fan Wang, Adams Wai-Kin Kong

Model attribution is a critical component of deep neural networks (DNNs) for its interpretability to complex models. Recent studies bring up attention to the security of attributio…

cs.CV2023★ 1 cited

Flexible-modal Deception Detection with Audio-Visual Adapter

Zhaoxu Li, Zitong Yu, Nithish Muthuchamy Selvaraj +4

Detecting deception by human behaviors is vital in many fields such as custom security and multimedia anti-fraud. Recently, audio-visual deception detection attracts more attention…

cs.SD2023

Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers

Nithish Muthuchamy Selvaraj, Xiaobao Guo, Adams Kong +2

Continual learning involves training neural networks incrementally for new tasks while retaining the knowledge of previous tasks. However, efficiently fine-tuning the model for seq…

cs.CV2022

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…

cs.CV2022★ 20 cited

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…

q-bio.QM2022★ 58 cited

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…

cs.LG2022★ 18 cited

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…

cs.LG2022★ 5 cited

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…

cs.CV2020★ 10 cited

Gender and Ethnicity Classification based on Palmprint and Palmar Hand Images from Uncontrolled Environment

Wojciech Michal Matkowski, Adams Wai Kin Kong

Soft biometric attributes such as gender, ethnicity or age may provide useful information for biometrics and forensics applications. Researchers used, e.g., face, gait, iris, and h…

cs.CV2019★ 143 cited

Palmprint Recognition in Uncontrolled and Uncooperative Environment

Wojciech Michal Matkowski, Tingting Chai, Adams Wai Kin Kong

Online palmprint recognition and latent palmprint identification are two branches of palmprint studies. The former uses middle-resolution images collected by a digital camera in a…

cs.CV2019★ 16 cited

A Study on Wrist Identification for Forensic Investigation

Wojciech Michal Matkowski, Frodo Kin Sun Chan, Adams Wai Kin Kong

Criminal and victim identification based on crime scene images is an important part of forensic investigation. Criminals usually avoid identification by covering their faces and ta…

cs.CV2019★ 1 cited

The Nipple-Areola Complex for Criminal Identification

Wojciech Michal Matkowski, Krzysztof Matkowski, Adams Wai-Kin Kong +1

In digital and multimedia forensics, identification of child sexual offenders based on digital evidence images is highly challenging due to the fact that the offender's face or oth…

cs.CV2019★ 17 cited

Giant Panda Face Recognition Using Small Dataset

Wojciech Michal Matkowski, Adams Wai Kin Kong, Han Su +3

Giant panda (panda) is a highly endangered animal. Significant efforts and resources have been put on panda conservation. To measure effectiveness of conservation schemes, estimati…

cs.HC2019★ 49 cited

Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials

Zhenyu Yan, Qun Song, Rui Tan +2

This paper presents TouchAuth, a new touch-to-access device authentication approach using induced body electric potentials (iBEPs) caused by the indoor ambient electric field that…