Search Results for author: Jung Kwon Lee

Found 6 papers, 4 papers with code

Spb3DTracker: A Robust LiDAR-Based Person Tracker for Noisy Environment

no code implementations12 Aug 2024 Eunsoo Im, Changhyun Jee, Jung Kwon Lee

Person detection and tracking (PDT) has seen significant advancements with 2D camera-based systems in the autonomous vehicle field, leading to widespread adoption of these algorithms.

Human Detection Management

Auto-Meta: Automated Gradient Based Meta Learner Search

no code implementations11 Jun 2018 Jaehong Kim, Sangyeul Lee, Sungwan Kim, Moonsu Cha, Jung Kwon Lee, Youngduck Choi, Yongseok Choi, Dong-Yeon Cho, Jiwon Kim

Fully automating machine learning pipelines is one of the key challenges of current artificial intelligence research, since practical machine learning often requires costly and time-consuming human-powered processes such as model design, algorithm development, and hyperparameter tuning.

BIG-bench Machine Learning Meta-Learning +1

Continual Learning with Deep Generative Replay

5 code implementations NeurIPS 2017 Hanul Shin, Jung Kwon Lee, Jaehong Kim, Jiwon Kim

Attempts to train a comprehensive artificial intelligence capable of solving multiple tasks have been impeded by a chronic problem called catastrophic forgetting.

class-incremental learning Class Incremental Learning +3

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

19 code implementations ICML 2017 Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim

While humans easily recognize relations between data from different domains without any supervision, learning to automatically discover them is in general very challenging and needs many ground-truth pairs that illustrate the relations.

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