mv-lab
PhD Researcher in Artificial Intelligence and Computer Vision @sony Interested in neural networks and cameras. Senior Data Scientist & Kaggle GM at @h2oai
@h2oai Bavaria, Germany
Pinned Repositories
NTIRE23-RTSR
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
AISP
AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM Challenges
InstructIR
InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
IQA-Conformer-BNS
Conformer and Blind Noisy Students for Improved Image Quality Assessment
kuzushiji-recognition
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.
nilut
[AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/
Squanchy-PL
Squanchy is a brand new, easy to learn, general purpose, multi-paradigm, compiled programming language. The language is written from scratch (it includes an integrated lexer, parser, code generator etc). I tried to put together Python and Haskell (or at least the main features from both) in Squanchy. In other words you can use it as a scripting language, can do maths (calculus, matrix ...) due to its functional side, work with data ...
swin2sr
[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/mv-lab/swin2sr
ViT-FGVC8
"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8
youtube8m-19
Google Research 3rd YouTube-8M Video Understanding Challenge 2019. Temporal localization of topics within video. International Conference on Computer Vision (ICCV) 2019.
mv-lab's Repositories
mv-lab/swin2sr
[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/mv-lab/swin2sr
mv-lab/InstructIR
InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
mv-lab/AISP
AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM Challenges
mv-lab/nilut
[AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/
mv-lab/ViT-FGVC8
"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8
mv-lab/kuzushiji-recognition
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.
mv-lab/youtube8m-19
Google Research 3rd YouTube-8M Video Understanding Challenge 2019. Temporal localization of topics within video. International Conference on Computer Vision (ICCV) 2019.
mv-lab/Squanchy-PL
Squanchy is a brand new, easy to learn, general purpose, multi-paradigm, compiled programming language. The language is written from scratch (it includes an integrated lexer, parser, code generator etc). I tried to put together Python and Haskell (or at least the main features from both) in Squanchy. In other words you can use it as a scripting language, can do maths (calculus, matrix ...) due to its functional side, work with data ...
mv-lab/IQA-Conformer-BNS
Conformer and Blind Noisy Students for Improved Image Quality Assessment
mv-lab/commonlit-readability-nlp
CommonLit Readability Prize 2021. NLP competition hosted at Kaggle: https://www.kaggle.com/c/commonlitreadabilityprize/. Rate the complexity of literary passages for grades 3-12 classroom use
mv-lab/RSNA-AI-Challenge2019
RSNA Intracranial Hemorrhage Detection. The challenge is to build an algorithm to detect acute intracranial hemorrhage and its subtypes. The Dataset provided by the Radiological Society of North America (RSNA) and MD.ai.
mv-lab/RSNA-Pulmonary-Embolism-AI-Challenge
2020 RSNA-STR Pulmonary Embolism Detection AI Challenge: Classify Pulmonary Embolism cases in chest CT scans. 12th place solution.
mv-lab/dna-proto-workflow
Snakemake ProtoWorkflow for DNA Analysis.
mv-lab/CHAMPS-Kaggle19
Predicting Molecular Properties. CHAMPS Kaggle competition 2019.
mv-lab/mv-lab.github.io
mv-lab/VideoAI-Speedrun
VQA & VSR Efficiency and Runtime Evaluation -- AIS 2024 Workshop @ CVPR
mv-lab/mapfe4mp
Official repository for Efficient Goal-based Vehicle Motion Prediction baselines. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.
mv-lab/mv-lab
About me
mv-lab/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".