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Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models


May 24, 2023
Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior

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Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images


May 19, 2023
Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Ścibior, Frank Wood

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Conditional Permutation Invariant Flows


Jun 17, 2022
Berend Zwartsenberg, Adam Ścibior, Matthew Niedoba, Vasileios Lioutas, Yunpeng Liu, Justice Sefas, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood

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* 20 pages, 10 figures 

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Critic Sequential Monte Carlo


May 30, 2022
Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior

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* 20 pages, 3 figures 

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MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation


May 12, 2021
Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh

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* Accepted at ACL 2021 

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Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation


Apr 22, 2021
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood

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* 10 pages, 8 figures 

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Towards Zero-Shot Knowledge Distillation for Natural Language Processing


Dec 31, 2020
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh

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* 13 pages, 8 tables, 2 algorithms and 1 figure 

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Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping


Jun 30, 2020
Vasileios Lioutas

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* Paper completed in April 2019 

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Time-aware Large Kernel Convolutions


Feb 08, 2020
Vasileios Lioutas, Yuhong Guo

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* 11 pages, 1 figure 

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