Dmitry Ignatov

According to our database, Dmitry Ignatov authored at least 17 papers between 2016 and 2026.

Collaborative distances:

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

2026

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment.

Arun Kumar, Aswathy Baiju, Radu Timofte, Dmitry Ignatov

CoRR, April, 2026

Resource-Efficient Iterative LLM-Based NAS with Feedback Memory.

Xiaojie Guo, Dmitry Ignatov, Radu Timofte

CoRR, March, 2026

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models.

Tolgay Atinc Uzun, Dmitry Ignatov, Radu Timofte

CoRR, January, 2026

From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs.

Usha Shrestha, Dmitry Ignatov, Radu Timofte

CoRR, January, 2026

From Memorization to Creativity: LLM as a Designer of Novel Neural-Architectures.

Waleed Khalid, Dmitry Ignatov, Radu Timofte

CoRR, January, 2026

2025

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design.

Chandini Vysyaraju, Raghuvir Duvvuri, Avi Goyal, Dmitry Ignatov, Radu Timofte

CoRR, December, 2025

LLM as a Neural Architect: Controlled Generation of Image Captioning Models Under Strict API Contracts.

Krunal Jesani, Dmitry Ignatov, Radu Timofte

CoRR, December, 2025

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks.

Waleed Khalid, Dmitry Ignatov, Radu Timofte

CoRR, December, 2025

NNGPT: Rethinking AutoML with Large Language Models.

Roman Kochnev, Waleed Khalid, Tolgay Atinc Uzun, Xi Zhang, Yashkumar Sanjaybhai Dhameliya, Furui Qin, Chandini Vysyaraju, Raghuvir Duvvuri, Avi Goyal, Dmitry Ignatov, Radu Timofte

CoRR, November, 2025

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis.

Yash Mittal, Dmitry Ignatov, Radu Timofte

CoRR, November, 2025

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Nada Aboudeshish, Dmitry Ignatov, Radu Timofte

CoRR, June, 2025

VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?

Mohamed Gado, Towhid Taliee, Muhammad Memon, Dmitry Ignatov, Radu Timofte

CoRR, April, 2025

LEMUR Neural Network Dataset: Towards Seamless AutoML.

Arash Torabi Goodarzi, Roman Kochnev, Waleed Khalid, Furui Qin, Tolgay Atinc Uzun, Yashkumar Sanjaybhai Dhameliya, Yash Kanubhai Kathiriya, Zofia Antonina Bentyn, Dmitry Ignatov, Radu Timofte

CoRR, April, 2025

Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?

Roman Kochnev, Arash Torabi Goodarzi, Zofia Antonina Bentyn, Dmitry Ignatov, Radu Timofte

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?

Dmitry Ignatov, Andrey Ignatov, Radu Timofte

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2020

Controlling information capacity of binary neural network.

Dmitry Ignatov, Andrey Ignatov

Pattern Recognit. Lett., 2020

2016

A Russian Keyword Spotting System Based on Large Vocabulary Continuous Speech Recognition and Linguistic Knowledge.

Valentin Smirnov, Dmitry Ignatov, Michael Gusev, Mais P. Farkhadov, Natalia Rumyantseva, Mukhabbat Farkhadova

J. Electr. Comput. Eng., 2016