Gil Avraham - RankMe

29 papers A* 7A 2Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AsyncMesh: Fully Asynchronous Optimization for Data and Pipeline Parallelism. CoRR Thalaiyasingam Ajanthan, Sameera Ramasinghe, Gil Avraham, Hadi Mohaghegh Dolatabadi, Chamin Hewa Koneputugodage, Violetta Shevchenko, Yan Zuo, Alexander Long
2026	J	`jnl`	NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training. CoRR Hadi Mohaghegh Dolatabadi, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Chamin Hewa Koneputugodage, Shamane Siriwardhana, Violetta Shevchenko, Karol Pajak, James Snewin, Gil Avraham, Alexander Long
2026	J	`jnl`	SENTINEL: Stagewise Integrity Verification for Pipeline Parallel Decentralized Training. CoRR Hadi Mohaghegh Dolatabadi, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Chamin Hewa Koneputugodage, Gil Avraham, Yan Zuo, Violetta Shevchenko, Alexander Long
2025	A*	`conf`	Nesterov Method for Asynchronous Pipeline Parallel Optimization. ICML Thalaiyasingam Ajanthan, Sameera Ramasinghe, Yan Zuo, Gil Avraham, Alexander Long
2025	J	`jnl`	Nesterov Method for Asynchronous Pipeline Parallel Optimization. CoRR Thalaiyasingam Ajanthan, Sameera Ramasinghe, Yan Zuo, Gil Avraham, Alexander Long
2025	J	`jnl`	Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism. CoRR Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zuo, Alexander Long
2024	A*	`conf`	Accept the Modality Gap: An Exploration in the Hyperbolic Space. CVPR Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Thalaiyasingam Ajanthan
2024	A*	`conf`	BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. AAAI Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel
2024	J	`jnl`	Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. CoRR Rongkai Ma, Léo Lebrat, Rodrigo Santa Cruz, Gil Avraham, Yan Zuo, Clinton Fookes, Olivier Salvado
2024	A*	`conf`	Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel
2024	A	`conf`	LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. WACV Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel
2024	A*	`conf`	ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CVPR Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel
2024	J	`jnl`	ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CoRR Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel
2023	J	`jnl`	BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. CoRR Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel
2022	—	`conf`	Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. ECCV (20) Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi
2022	—	`conf`	Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CVPR Workshops Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe
2022	J	`jnl`	Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CoRR Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe
2022	—	`conf`	Training 1-Bit Networks on a Sphere: A Geometric Approach. ICANN (3) Luis Guerra, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zou, Tom Drummond
2021	A	`conf`	Improved Training of Generative Adversarial Networks Using Decision Forests. WACV Yan Zuo, Gil Avraham, Tom Drummond
2021	J	`jnl`	Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. CoRR Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi
2021	—	`—`	Learning Structured Representations and their Applications in Computer Vision. Gil Avraham
2020	—	`conf`	Localising In Complex Scenes Using Balanced Adversarial Adaptation. 3DV Gil Avraham, Yan Zuo, Tom Drummond
2020	J	`jnl`	Localising In Complex Scenes Using Balanced Adversarial Adaptation. CoRR Gil Avraham, Yan Zuo, Tom Drummond
2019	A*	`conf`	EMPNet: Neural Localisation and Mapping Using Embedded Memory Points. ICCV Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond
2019	J	`jnl`	EMPNet: Neural Localisation and Mapping using Embedded Memory Points. CoRR Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond
2019	A*	`conf`	Parallel Optimal Transport GAN. CVPR Gil Avraham, Yan Zuo, Tom Drummond
2018	J	`jnl`	Generative Adversarial Forests for Better Conditioned Adversarial Learning. CoRR Yan Zuo, Gil Avraham, Tom Drummond
2018	—	`conf`	Traversing Latent Space Using Decision Ferns. ACCV (1) Yan Zuo, Gil Avraham, Tom Drummond
2018	J	`jnl`	Traversing Latent Space using Decision Ferns. CoRR Yan Zuo, Gil Avraham, Tom Drummond