14 citations · 17 across the 3 of their papers we have counts for
5 papers
Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention
JoonKyu Park, Seungjun Nah, Kyoung Mu Lee
Video deblurring models exploit information in the neighboring frames to remove blur caused by the motion of the camera and the objects. Recurrent Neural Networks~(RNNs) are often…
HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network
JoonKyu Park, Yeonguk Oh, Gyeongsik Moon +2
Hands are often severely occluded by objects, which makes 3D hand mesh estimation challenging. Previous works often have disregarded information at occluded regions. However, we ar…
Recurrence-in-Recurrence Networks for Video Deblurring
Joonkyu Park, Seungjun Nah, Kyoung Mu Lee
State-of-the-art video deblurring methods often adopt recurrent neural networks to model the temporal dependency between the frames. While the hidden states play key role in delive…
Generative Adversarial Networks for Unsupervised Object Co-localization
Junsuk Choe, Joo Hyun Park, Hyunjung Shim
This paper introduces a novel approach for unsupervised object co-localization using Generative Adversarial Networks (GANs). GAN is a powerful tool that can implicitly learn unknow…
Improved Techniques For Weakly-Supervised Object Localization
Junsuk Choe, Joo Hyun Park, Hyunjung Shim
We propose an improved technique for weakly-supervised object localization. Conventional methods have a limitation that they focus only on most discriminative parts of the target o…