Violetta Shevchenko

According to our database, Violetta Shevchenko authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization.

Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan, Yan Zuo, Gil Avraham, Violetta Shevchenko, Hadi Mohaghegh Dolatabadi, Sameera Ramasinghe

CoRR, May, 2026

NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training.

Hadi Mohaghegh Dolatabadi, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Chamin Hewa Koneputugodage, Shamane Siriwardhana, Violetta Shevchenko, Karol Pajak, James Snewin, Gil Avraham, Alexander Long

CoRR, March, 2026

SENTINEL: Stagewise Integrity Verification for Pipeline Parallel Decentralized Training.

Hadi Mohaghegh Dolatabadi, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Chamin Hewa Koneputugodage, Gil Avraham, Yan Zuo, Violetta Shevchenko, Alexander Long

CoRR, March, 2026

AsyncMesh: Fully Asynchronous Optimization for Data and Pipeline Parallelism.

Thalaiyasingam Ajanthan, Sameera Ramasinghe, Gil Avraham, Hadi Mohaghegh Dolatabadi, Chamin Hewa Koneputugodage, Violetta Shevchenko, Yan Zuo, Alexander Long

CoRR, January, 2026

2025

Scalable and Realistic Virtual Try-on Application for Foundation Makeup with Kubelka-Munk Theory.

Hui Pang, Sunil Hadap, Violetta Shevchenko, Rahul Suresh, Amin Banitalebi-Dehkordi

CoRR, July, 2025

SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning.

Chen Chen, Majid Abdolshah, Violetta Shevchenko, Hongdong Li, Chang Xu, Pulak Purkait

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

A sampling theory perspective on activations for implicit neural representations.

Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey

Proceedings of the Forty-first International Conference on Machine Learning, 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

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

On the effectiveness of neural priors in modeling dynamical systems.

Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey

CoRR, 2023

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

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

CoRR, 2023

2022

EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering.

Violetta Shevchenko, Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel, Damien Teney

CoRR, 2022

2021

Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge.

Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel

CoRR, 2021

2020

Visual Question Answering with Prior Class Semantics.

Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel

CoRR, 2020

2018

Fish Detection from Low Visibility Underwater Videos.

Violetta Shevchenko, Tuomas Eerola, Arto Kaarna

Proceedings of the 24th International Conference on Pattern Recognition, 2018