Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
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Updated
Jun 10, 2023 - Python
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
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.
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.
This is the official Python and C++ implementation repository for a paper entitled "Track Initialization and Re-Identification for 3D Multi-View Multi-Object Tracking", Information Fusion (http://arxiv.org/abs/2405.18606).
Noise Aware OSTrack
Public toolkit for HOOT: Heavy Occlusions for Object Tracking Benchmark.
This is the official Python and C++ implementation repository for a paper entitled "Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets", Pattern Recognition (https://arxiv.org/pdf/2407.08872).
3D normal map estimation pipeline using low resolution and highly occluded images
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.
Knowledge distillation for masked FER using ResNet-18 in PyTorch.
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