14 citations · 33 across the 26 of their papers we have counts for
8 papers · 1 filter
Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection
Sungjune Park, Hyunjun Kim, Yong Man Ro
Large language models (LLMs) have shown their capabilities in understanding contextual and semantic information regarding knowledge of instance appearances. In this paper, we intro…
Intuitive Multilingual Audio-Visual Speech Recognition with a Single-Trained Model
Joanna Hong, Se Jin Park, Yong Man Ro
We present a novel approach to multilingual audio-visual speech recognition tasks by introducing a single model on a multilingual dataset. Motivated by a human cognitive system whe…
Causal Unsupervised Semantic Segmentation
Junho Kim, Byung-Kwan Lee, Yong Man Ro
Unsupervised semantic segmentation aims to achieve high-quality semantic grouping without human-labeled annotations. With the advent of self-supervised pre-training, various framew…
DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding
Jeongsoo Choi, Joanna Hong, Yong Man Ro
Recent research has demonstrated impressive results in video-to-speech synthesis which involves reconstructing speech solely from visual input. However, previous works have struggl…
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning
Byung-Kwan Lee, Junho Kim, Yong Man Ro
Adversarial examples derived from deliberately crafted perturbations on visual inputs can easily harm decision process of deep neural networks. To prevent potential threats, variou…
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Hong Joo Lee, Yong Man Ro
Recently, it has been widely known that deep neural networks are highly vulnerable and easily broken by adversarial attacks. To mitigate the adversarial vulnerability, many defense…
Advancing Adversarial Training by Injecting Booster Signal
Hong Joo Lee, Youngjoon Yu, Yong Man Ro
Recent works have demonstrated that deep neural networks (DNNs) are highly vulnerable to adversarial attacks. To defend against adversarial attacks, many defense strategies have be…
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
Junho Kim, Byung-Kwan Lee, Yong Man Ro
The origin of adversarial examples is still inexplicable in research fields, and it arouses arguments from various viewpoints, albeit comprehensive investigations. In this paper, w…