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1. Semantic-Segmentation-under-Adverse-Conditions_BMVC_2022 Semantic-Segmentation-under-Adverse-Conditions_BMVC_2022 Public

   Forked from lsmcolab/Semantic-Segmentation-under-Adverse-Conditions

   Original PyTorch implementation of the paper "Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach", published at the British Machine Vision C…

   Python

2. SyntheticData4VideoStabilization_WACV_2024 SyntheticData4VideoStabilization_WACV_2024 Public

   Original PyTorch implementation of the paper "Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions", published at the EEE/CVF Winter Conference on Applications of Compute…

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3. Silver Silver Public

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4. NOVA NOVA Public

   NOVA: Rendering Virtual Worlds with Humans for Computer Vision Tasks

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5. Mobile-games-success-and-failure-mining-the-hidden-factors Mobile-games-success-and-failure-mining-the-hidden-factors Public

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6. Using-synthetic-data-for-person-tracking-under-adverse-weather-conditions Using-synthetic-data-for-person-tracking-under-adverse-weather-conditions Public

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