Visual Question Answering using Explicit Visual Attention
Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas
Proceedings of the 2018 IEEE International Symposium on Circuits and Systems (ISCAS)
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Explicit ensemble attention learning for improving visual question answering
Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas
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Copy this Sentence
Vasileios Lioutas, and Andriy Drozdyuk
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On Compressing The Embedding Matrix Of Language Models For Edge Deployment
Vasileios Lioutas, Ahmad Rashid, and Krtin Kumar
Time-aware Large Kernel Convolutions
Vasileios Lioutas, and Yuhong Guo
Proceedings of the 2020 37th International Conference on Machine Learning (ICML)
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Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping
Vasileios Lioutas
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Sequence Modeling with Time-aware Large Kernel Convolutions
Vasileios Lioutas, and Yuhong Guo
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, and Mehdi Rezagholizadeh
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Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni and Frank Wood
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MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
Ahmad Rashid, Vasileios Lioutas and Mehdi Rezagholizadeh
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Towards Zero-Shot Knowledge Distillation for Natural Language Processing
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar and Mehdi Rezagholizadeh
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TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference
Vasileios Lioutas, Adam Scibior and Frank Wood
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Critic Sequential Monte Carlo
Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood and Adam Scibior
Proceedings of the 2023 11th International Conference on Learning Representations (ICLR)
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Conditional Permutation Invariant Flows
Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell and Frank Wood
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Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood and Adam Scibior
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Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images
Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Ĺcibior and Frank Wood
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Method and system for training a neural network model using adversarial learning and knowledge distillation
Vasileios Lioutas, Ahmad Rashid and Mehdi Rezagholizadeh
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A Diffusion-Model of Joint Interactive Navigation
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior and Frank Wood
Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems
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