Gil Avraham

According to our database, Gil Avraham authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields.

Rongkai Ma, Léo Lebrat, Rodrigo Santa Cruz, Gil Avraham, Yan Zuo, Clinton Fookes, Olivier Salvado

CoRR, 2024

LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes.

Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Improving the Convergence of Dynamic NeRFs via Optimal Transport.

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ViewFusion: Towards Multi-View Consistency via Interpolated Denoising.

Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Accept the Modality Gap: An Exploration in the Hyperbolic Space.

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Thalaiyasingam Ajanthan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling.

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling.

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel

CoRR, 2023

2022

Training 1-Bit Networks on a Sphere: A Geometric Approach.

Luis Guerra, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zou, Tom Drummond

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning.

Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi

Proceedings of the Computer Vision - ECCV 2022, 2022

Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation.

Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Learning Structured Representations and their Applications in Computer Vision.

Gil Avraham

PhD thesis, 2021

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning.

Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi

CoRR, 2021

Improved Training of Generative Adversarial Networks Using Decision Forests.

Yan Zuo, Gil Avraham, Tom Drummond

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Localising In Complex Scenes Using Balanced Adversarial Adaptation.

Gil Avraham, Yan Zuo, Tom Drummond

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

EMPNet: Neural Localisation and Mapping Using Embedded Memory Points.

Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Parallel Optimal Transport GAN.

Gil Avraham, Yan Zuo, Tom Drummond

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Generative Adversarial Forests for Better Conditioned Adversarial Learning.

Yan Zuo, Gil Avraham, Tom Drummond

CoRR, 2018

Traversing Latent Space Using Decision Ferns.

Yan Zuo, Gil Avraham, Tom Drummond

Proceedings of the Computer Vision - ACCV 2018, 2018