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ORCIDGil Avraham
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2020 – today
- 2024
[c13]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. AAAI 2024: 4641-4649- [c12]Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CVPR 2024: 9870-9880 - [c11]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Thalaiyasingam Ajanthan:
Accept the Modality Gap: An Exploration in the Hyperbolic Space. CVPR 2024: 27253-27262 - [c10]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel:
Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR 2024 - [c9]Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel:
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. WACV 2024: 8031-8040 - [i9]Rongkai Ma, Léo Lebrat, Rodrigo Santa Cruz, Gil Avraham, Yan Zuo, Clinton Fookes, Olivier Salvado:
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. CoRR abs/2401.16144 (2024) - [i8]Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CoRR abs/2402.18842 (2024) - 2023
- [i7]Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. CoRR abs/2302.13543 (2023) - 2022
- [c8]Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe:
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CVPR Workshops 2022: 5057-5066 - [c7]Rongkai Ma
, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi:
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. ECCV (20) 2022: 257-274 - [c6]Luis Guerra, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zou, Tom Drummond:
Training 1-Bit Networks on a Sphere: A Geometric Approach. ICANN (3) 2022: 789-802 - [i6]Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe:
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CoRR abs/2206.01916 (2022) - 2021
- [b1]Gil Avraham:
Learning Structured Representations and their Applications in Computer Vision. Monash University, Australia, 2021 - [c5]Yan Zuo, Gil Avraham, Tom Drummond:
Improved Training of Generative Adversarial Networks Using Decision Forests. WACV 2021: 3491-3500 - [i5]Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi:
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. CoRR abs/2112.03494 (2021) - 2020
- [c4]Gil Avraham, Yan Zuo, Tom Drummond:
Localising In Complex Scenes Using Balanced Adversarial Adaptation. 3DV 2020: 1059-1069 - [i4]Gil Avraham, Yan Zuo, Tom Drummond:
Localising In Complex Scenes Using Balanced Adversarial Adaptation. CoRR abs/2011.04122 (2020)
2010 – 2019
- 2019
- [c3]Gil Avraham, Yan Zuo, Tom Drummond:
Parallel Optimal Transport GAN. CVPR 2019: 4411-4420 - [c2]Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond:
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points. ICCV 2019: 8119-8128 - [i3]Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond:
EMPNet: Neural Localisation and Mapping using Embedded Memory Points. CoRR abs/1907.13268 (2019) - 2018
- [c1]Yan Zuo, Gil Avraham, Tom Drummond:
Traversing Latent Space Using Decision Ferns. ACCV (1) 2018: 593-608 - [i2]Yan Zuo, Gil Avraham, Tom Drummond:
Generative Adversarial Forests for Better Conditioned Adversarial Learning. CoRR abs/1805.05185 (2018) - [i1]Yan Zuo, Gil Avraham, Tom Drummond:
Traversing Latent Space using Decision Ferns. CoRR abs/1812.02636 (2018)
Coauthor Index
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last updated on 2024-10-08 21:30 CEST by the dblp team
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