Gil Avraham

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Decision Forest

Camera Pose Estimation

Gaussian Process Latent Variable Models

Top Venues

Publications

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. AAAI (2024)
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 (2024)
Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CoRR (2024)
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel
Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR (2024)
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)
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel
BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. CoRR (2023)
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 (2022)
Luis Guerra, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zou, Tom Drummond
Training 1-Bit Networks on a Sphere: A Geometric Approach. ICANN (3) (2022)
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)
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)
Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. CoRR (2021)
Yan Zuo, Gil Avraham, Tom Drummond
Improved Training of Generative Adversarial Networks Using Decision Forests. WACV (2021)
Gil Avraham, Yan Zuo, Tom Drummond
Localising In Complex Scenes Using Balanced Adversarial Adaptation. CoRR (2020)
Gil Avraham, Yan Zuo, Tom Drummond
Localising In Complex Scenes Using Balanced Adversarial Adaptation. 3DV (2020)
Gil Avraham, Yan Zuo, Tom Drummond
Parallel Optimal Transport GAN. CVPR (2019)
Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points. ICCV (2019)
Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond
EMPNet: Neural Localisation and Mapping using Embedded Memory Points. CoRR (2019)
Yan Zuo, Gil Avraham, Tom Drummond
Generative Adversarial Forests for Better Conditioned Adversarial Learning. CoRR (2018)
Yan Zuo, Gil Avraham, Tom Drummond
Traversing Latent Space Using Decision Ferns. ACCV (1) (2018)
Yan Zuo, Gil Avraham, Tom Drummond
Traversing Latent Space using Decision Ferns. CoRR (2018)