Traversing Latent Space Using Decision Ferns. - Yan Zuo; Gil Avraham; Tom Drummond (ACCV (1), 2018)

Generative Adversarial Forests for Better Conditioned Adversarial Learning. - Yan Zuo; Gil Avraham; Tom Drummond (CoRR, 2018)

Parallel Optimal Transport GAN. - Gil Avraham; Yan Zuo; Tom Drummond (CVPR, 2019)

EMPNet: Neural Localisation and Mapping Using Embedded Memory Points. - Gil Avraham; Yan Zuo; Thanuja Dharmasiri; Tom Drummond (ICCV, 2019)

Localising In Complex Scenes Using Balanced Adversarial Adaptation. - Gil Avraham; Yan Zuo; Tom Drummond (3DV, 2020)

Improved Training of Generative Adversarial Networks Using Decision Forests. - Yan Zuo; Gil Avraham; Tom Drummond (WACV, 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)

Learning Structured Representations and their Applications in Computer Vision. - Gil Avraham (2021)

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 (CVPR Workshops, 2022)

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. - Rongkai Ma; Pengfei Fang; Gil Avraham; Yan Zuo; Tianyu Zhu 001; Tom Drummond; Mehrtash Harandi (ECCV (20), 2022)

Training 1-Bit Networks on a Sphere: A Geometric Approach. - Luis Guerra; Thalaiyasingam Ajanthan; Gil Avraham; Yan Zou; Tom Drummond (ICANN (3), 2022)

BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. - Sameera Ramasinghe; Violetta Shevchenko; Gil Avraham; Anton van den Hengel (CoRR, 2023)

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. - Sameera Ramasinghe; Violetta Shevchenko; Gil Avraham; Anton van den Hengel (AAAI, 2024)

Accept the Modality Gap: An Exploration in the Hyperbolic Space. - Sameera Ramasinghe; Violetta Shevchenko; Gil Avraham; Thalaiyasingam Ajanthan (CVPR, 2024)

ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. - Xianghui Yang; Yan Zuo; Sameera Ramasinghe; Loris Bazzani; Gil Avraham; Anton van den Hengel (CVPR, 2024)

Improving the Convergence of Dynamic NeRFs via Optimal Transport. - Sameera Ramasinghe; Violetta Shevchenko; Gil Avraham; Hisham Husain; Anton van den Hengel (ICLR, 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 (WACV, 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)

Nesterov Method for Asynchronous Pipeline Parallel Optimization. - Thalaiyasingam Ajanthan; Sameera Ramasinghe; Yan Zuo; Gil Avraham; Alexander Long (CoRR, 2025)

Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism. - Sameera Ramasinghe; Thalaiyasingam Ajanthan; Gil Avraham; Yan Zuo; Alexander Long (CoRR, 2025)