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1. Just-Go-with-the-Flow-Self-Supervised-Scene-Flow-Estimation Just-Go-with-the-Flow-Self-Supervised-Scene-Flow-Estimation Public

   Self-supervised method for scene-flow estimation of LiDAR point clouds. Method is trained and tested on the nuScenes and KITTI datasets in TensorFlow. (CVPR 2020)

   Python 60 5

2. RepLAI RepLAI Public

   Self-supervised algorithm for learning representations from ego-centric video data. Code is tested on EPIC-Kitchens-100 and Ego4D in PyTorch. (NeurIPS 2022)

   Python 11 1

3. Self-Supervised-Point-Cloud-Completion-via-Inpainting Self-Supervised-Point-Cloud-Completion-via-Inpainting Public

   Self-supervised method for completing partial LiDAR point clouds. Trained and tested on ShapeNet and SemanticKITTI in TensorFlow. (BMVC 2021)

   Python 12 2

4. Depression_Detection Depression_Detection Public

   Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.

   Jupyter Notebook 24 5

5. Anomaly_Graph_Neural_Net Anomaly_Graph_Neural_Net Public

   Anomaly detection algorithm for social networks using Graph Neural Networks by leveraging graph parameteres, between centrality, degree, closeness, on Enron and Twitter datasets

   Python 11 3

6. Scene-Graph-Generation Scene-Graph-Generation Public

   Prediction of action and spatial visual relationships in images between objects in the VRD-Dataset using visual, semantic, spatial, and heatmap features with structual ranking loss

   Jupyter Notebook 4