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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