no code implementations • 1 Nov 2023 • Abhishek Kumar, Dong-Gyu Lee
PIPCDR incorporates a positive instance proximity loss and a cluster dispersion regularizer.
no code implementations • 11 Oct 2023 • Hye-Seong Hong, Abhishek Kumar, Dong-Gyu Lee
To address this issue, we introduce a novel approach to domain adaptation, leveraging the synergy of internal and external information within entropy-based adversarial networks.
no code implementations • 25 Feb 2023 • Satyawant Kumar, Abhishek Kumar, Dong-Gyu Lee
It becomes challenging to capture the underlying attributes in the global and local context for their segmentation.
1 code implementation • 26 Jan 2023 • Athul Shibu, Abhishek Kumar, Heechul Jung, Dong-Gyu Lee
Convolutional Neural Networks (CNNs) have a large number of parameters and take significantly large hardware resources to compute, so edge devices struggle to run high-level networks.
no code implementations • 22 Jan 2021 • Jung-Jun Kim, Dong-Gyu Lee, Jialin Wu, Hong-Gyu Jung, Seong-Whan Lee
We quantitatively and qualitatively evaluated the proposed method on the VQA v2 dataset and compared it with state-of-the-art methods in terms of answer prediction.
no code implementations • 22 Jan 2021 • Dong-Gyu Lee, Seong-Whan Lee
In this paper, we propose a novel framework that simultaneously considers both implicit and explicit representations of human interactions by fusing information of local image where the interaction actively occurred, primitive motion with the posture of individual subject's body parts, and the co-occurrence of overall appearance change.
Activity Recognition In Videos Human Activity Recognition +1
no code implementations • 19 Feb 2020 • Ye-Ji Kim, Dong-Gyu Lee, Seong-Whan Lee
First-person interaction recognition is a challenging task because of unstable video conditions resulting from the camera wearer's movement.