Unsupervised deep framework that animates a source image using motion extracted from a driving video through learned keypoints, local affine transforms, dense motion fields, and occlusion-aware generation.
This face recognition implementation is capable of recognizing faces with a certain level of occlusion, this includes faces wearing masks. You can also add new users manually by adding a photo in the images folder.
Public toolkit for HOOT: Heavy Occlusions for Object Tracking Benchmark.
An instance segmentation challenge on Basketball images, with a particular focus on occlusion resolution. An opportunity to publish at MMSports @ ACMMM and to win $1000.
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Noise Aware OSTrack
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Master thesis project realized in partnership with Aalto University and Finnish Geospatial Research Institute of Finland. Stereo Camera-LiDAR calibration. Covers: mono and stereo camera calibration, Camera-LIDAR synchronisation, camera-based and LiDAR-based 3D reconstruction, Camera-LiDAR extrinsic calibration, Occlusion handling.
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