3 citations · 8 across the 7 of their papers we have counts for
10 papers
Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation
Jihyun Kim, Changjae Oh, Hoseok Do +2
We present a new multi-modal face image generation method that converts a text prompt and a visual input, such as a semantic mask or scribble map, into a photo-realistic face image…
Boosting Video Object Segmentation based on Scale Inconsistency
Hengyi Wang, Changjae Oh
We present a refinement framework to boost the performance of pre-trained semi-supervised video object segmentation (VOS) models. Our work is based on scale inconsistency, which is…
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
Meng Xing, Zhiyong Feng, Yong Su +1
Out-of-distribution (OOD) detection is essential to handle the distribution shifts between training and test scenarios. For a new in-distribution (ID) dataset, existing methods req…
Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings
Hengyi Wang, Chaoran Zhu, Ziyin Ma +1
We present methods to estimate the physical properties of household containers and their fillings manipulated by humans. We use a lightweight, pre-trained convolutional neural netw…
A Wavelet-based Dual-stream Network for Underwater Image Enhancement
Ziyin Ma, Changjae Oh
We present a wavelet-based dual-stream network that addresses color cast and blurry details in underwater images. We handle these artifacts separately by decomposing an input image…
Wide and Narrow: Video Prediction from Context and Motion
Jaehoon Cho, Jiyoung Lee, Changjae Oh +2
Video prediction, forecasting the future frames from a sequence of input frames, is a challenging task since the view changes are influenced by various factors, such as the global…
OHPL: One-shot Hand-eye Policy Learner
Changjae Oh, Yik Lung Pang, Andrea Cavallaro
The control of a robot for manipulation tasks generally relies on object detection and pose estimation. An attractive alternative is to learn control policies directly from raw inp…
Towards safe human-to-robot handovers of unknown containers
Yik Lung Pang, Alessio Xompero, Changjae Oh +1
Safe human-to-robot handovers of unknown objects require accurate estimation of hand poses and object properties, such as shape, trajectory, and weight. Accurately estimating these…
Semantically Adversarial Learnable Filters
Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro
We present an adversarial framework to craft perturbations that mislead classifiers by accounting for the image content and the semantics of the labels. The proposed framework comb…
EdgeFool: An Adversarial Image Enhancement Filter
Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro
Adversarial examples are intentionally perturbed images that mislead classifiers. These images can, however, be easily detected using denoising algorithms, when high-frequency spat…