[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
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Updated
Sep 17, 2024 - Python
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
[WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
CVPR 2022 - derender3d: A method for de-rendering a 3D object from a single image into shape, material, and lighting, that is trained in a weakly-supervised fashion relying only on rough shape estimates.
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
Daily archiver & triage issue creator for new releases of CISA's Known Exploited Vulnerabilities list
Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
University Thesis project
Official implementations of the NexusSplats paper.
Developing code on semantic segmentation for Extended Labeled Faces in the Wild
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
[IEEE FG2021] PyTorch code for paper titled "Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild".
Official repo for "Audio-Visual Speech Recognition In-the-Wild: Multi-Angle Vehicle Cabin Corpus and Attention-based Method" in ICASSP 2024
Animals object detection such as deer, horse, and rabbit in diverse settings using YOLOv5
[ICCVW 2021] Official implementation: An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild.
Classification Model for Detecting Aggressive Speech in the Wild
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