75 citations · 80 across the 10 of their papers we have counts for
10 papers
A Shaky Voice Is Not Always a Dodge: Benchmarking Textual and Vocal Evasion Detection in Earnings Calls
Mirae Kim, Seonghun Jeong, Youngjun Kwak
Existing approaches to evasion detection in earnings calls focus on textual transcripts, treating evasion as a single-dimensional phenomenon. We argue that evasion in spoken commun…
BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios
Yunseung Lee, Subin Kim, Youngjun Kwak +1
Large language models (LLMs)-based chatbots are increasingly being adopted in the financial domain, particularly in digital banking, to handle customer inquiries about products suc…
FENCE: A Financial and Multimodal Jailbreak Detection Dataset
Mirae Kim, Seonghun Jeong, Youngjun Kwak
Jailbreaking poses a significant risk to the deployment of Large Language Models (LLMs) and Vision Language Models (VLMs). VLMs are particularly vulnerable because they process bot…
1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge
Youngjun Kwak, Seonghun Jeong, Yunseung Lee +1
The budgeted model training challenge aims to train an efficient classification model under resource limitations. To tackle this task in ImageNet-100, we describe a simple yet effe…
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
Hansol Kim, Youngjun Kwak, Minyoung Jung +3
Federated learning (FL) is a promising approach for enhancing data privacy preservation, particularly for authentication systems. However, limited round communications, scarce repr…
Robust face anti-spoofing framework with Convolutional Vision Transformer
Yunseung Lee, Youngjun Kwak, Jinho Shin
Owing to the advances in image processing technology and large-scale datasets, companies have implemented facial authentication processes, thereby stimulating increased focus on fa…
Liveness score-based regression neural networks for face anti-spoofing
Youngjun Kwak, Minyoung Jung, Hunjae Yoo +2
Previous anti-spoofing methods have used either pseudo maps or user-defined labels, and the performance of each approach depends on the accuracy of the third party networks generat…
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
Tianchu Guo, Yongchao Liu, Hui Zhang +5
Gaze estimation for ordinary smart phone, e.g. estimating where the user is looking at on the phone screen, can be applied in various applications. However, the widely used appeara…
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss
Sangil Jung, Changyong Son, Seohyung Lee +5
Reducing bit-widths of activations and weights of deep networks makes it efficient to compute and store them in memory, which is crucial in their deployments to resource-limited de…
Deep generative-contrastive networks for facial expression recognition
Youngsung Kim, ByungIn Yoo, Youngjun Kwak +2
As the expressive depth of an emotional face differs with individuals or expressions, recognizing an expression using a single facial image at a moment is difficult. A relative exp…