Marcos V. Conde mv-lab

Ph.D. Researcher In AI and Computer Vision@sony Interested in neural networks, cameras and generative AI. Senior Data Scientist & Kaggle Grandmaster at@h2oai

264 followers ·212 following

@h2oai @sony
Germany - Japan
09:02(UTC +01:00)
https://mv-lab.github.io/
https://huggingface.co/marcosv
https://replicate.com/mv-lab
http://www.cvlai.net/ntire/2025/
https://ai4streaming-workshop.github.io/

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mv-lab/README.md

Ph.D. Researcher in Artificial Intelligence and Computer Vision advised by Prof. Radu Timofte. His current research interests include neural networks, machine learning, low-level vision, inverse problems, and computational photography. He is co-organizer of the NTIRE Workshop and AI for Streaming Workshop at CVPR, and the AIM Workshop at ECCV. He is also Kaggle Grandmaster at H2O.ai and Research Scientist at Sony PlayStation.

Only one who devotes himself to a cause with his whole strength and soul can be a true master. For this reason mastery demands all of a person.Albert Einstein

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InstructIRInstructIRPublic
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
Jupyter Notebook 609 38
AISPAISPPublic
AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Im…
Jupyter Notebook 415 47
swin2srswin2srPublic
[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/m…
Python 607 72
nilutnilutPublic
[AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/
Jupyter Notebook 74 4
eduardzamfir/NTIRE23-RTSReduardzamfir/NTIRE23-RTSRPublic
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
JavaScript 144 8
kuzushiji-recognitionkuzushiji-recognitionPublic
Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.
Jupyter Notebook 22 7

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Marcos V. Conde mv-lab

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