[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
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Updated
Dec 14, 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.
Official implementations of the NexusSplats paper.
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
University Thesis project
Developing code on semantic segmentation for Extended Labeled Faces in the Wild
[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".
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
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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