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Seungmin Jeon

3 accepted papers

2025

MORDA: A Synthetic Dataset to Facilitate Adaptation of Object Detectors to Unseen Real-Target Domain While Preserving Performance on Real-Source Domain

ICRA 2025

Deep neural network (DNN) based perception models are indispensable in the development of autonomous vehicles (AVs). However, their reliance on large-scale, high-quality data is broadly recognized as a burdensome necessity due to the substantial cost of data acquisition and labeling. Further, the is

Cited by 2SourceScholar
2023

Context-Based Trit-Plane Coding for Progressive Image Compression

CVPR 2023poster

Trit-plane coding enables deep progressive image compression, but it cannot use autoregressive context models. In this paper, we propose the context-based trit-plane coding (CTC) algorithm to achieve progressive compression more compactly. First, we develop the context-based rate reduction module to…

2022

DPICT: Deep Progressive Image Compression Using Trit-Planes

CVPR 2022oral

We propose the deep progressive image compression using trit-planes (DPICT) algorithm, which is the first learning-based codec supporting fine granular scalability (FGS). First, we transform an image into a latent tensor using an analysis network. Then, we represent the latent tensor in ternary digi…

Cited by 38PDFcodeScholar