Tag Archives: Jaewoo Jeong

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Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning

By admin 2024년 2월 28일

Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning- Author : Jaewoo Jeong*, Daehee Park*, and Kuk-Jin Yoon (*equal contribution) – Published Date : TBD – Category : Pose Forecasting – Place of publication : IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 (highlight) Abstract: Human pose forecasting garners attention for its diverse applications.…

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Nine papers accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024. (Feb. 28, 2024)

By admin 2024년 2월 28일

We have nine papers accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2024. The papers are “T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory” by Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, and Kuk-Jin Yoon “Frequency-aware Event-based Video Deblurring for Real-World Motion Blur” by Taewoo Kim*, Hoonhee Cho*,…

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Two papers accepted to the Thirty-Eighth AAAI Conference on Artificial Intelligence 2024 (December. 11, 2023).

By admin 2023년 12월 11일

We have two papers accepted to the Thirty-Eighth AAAI Conference on Artificial Intelligence 2024. The papers are “FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks” by Hunmin Yang*, Jongoh Jeong*, and Kuk-Jin Yoon (*equal contribution), “Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation” by Daehee Park, Jaewoo Jeong, and Kuk-Jin Yoon.

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Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation

By admin 2023년 12월 11일

Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation- Author : Daehee Park, Jaewoo Jeong, and Kuk-Jin Yoon – Published Date : TBD – Category : Trajectory Prediction – Place of publication : Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI) 2024 Abstract: Multi-agent trajectory prediction is crucial for various practical applications, spurring the construction…

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