no code implementations • ECCV 2020 • Jinyoung Choi, Bohyung Han
We propose to learn a deep neural network for JPEG image compression, which predicts image-specific optimized quantization tables fully compatible with the standard JPEG encoder and decoder.
no code implementations • 21 Mar 2024 • Dougho Park, Younghun Kim, Harim Kang, Junmyeoung Lee, Jinyoung Choi, Taeyeon Kim, Sangeok Lee, Seokil Son, Minsol Kim, Injung Kim
Bolus segmentation is crucial for the automated detection of swallowing disorders in videofluoroscopic swallowing studies (VFSS).
no code implementations • 22 Jan 2024 • Myungseo Song, Jinyoung Choi, Bohyung Han
We study the robustness of learned image compression models against adversarial attacks and present a training-free defense technique based on simple image transform functions.
1 code implementation • 6 Oct 2023 • Junoh Kang, Jinyoung Choi, Sungik Choi, Bohyung Han
We propose a novel diffusion-based image generation method called the observation-guided diffusion probabilistic model (OGDM), which effectively addresses the tradeoff between quality control and fast sampling.
1 code implementation • ICCV 2021 • Myungseo Song, Jinyoung Choi, Bohyung Han
In addition, the proposed framework allows us to perform task-aware image compressions for various tasks, e. g., classification, by efficiently estimating optimized quality maps specific to target tasks for our encoding network.
no code implementations • 15 Jul 2021 • Jinyoung Choi, Bohyung Han
We propose a framework of generative adversarial networks with multiple discriminators, which collaborate to represent a real dataset more effectively.
no code implementations • 7 Apr 2021 • Jinyoung Choi, Christopher R. Dance, Jung-eun Kim, Seulbin Hwang, Kyung-sik Park
Modern navigation algorithms based on deep reinforcement learning (RL) show promising efficiency and robustness.
no code implementations • 13 Dec 2017 • Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang
In multi-agent cooperative task experiments, our model shows 20% faster learning than existing state-of-the-art model.
no code implementations • 11 Mar 2017 • Sungtae Lee, Sang-Woo Lee, Jinyoung Choi, Dong-Hyun Kwak, Byoung-Tak Zhang
To solve this issue, the subgoal and option framework have been proposed.
no code implementations • 7 Sep 2016 • Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang
However, in most of the service robot applications, the user needs to move himself/herself to allow the robot to see him/her face to face.