Multi-label Object Attribute Classification using a Convolutional Neural Network. - Soubarna Banik; Mikko Lauri; Simone Frintrop (CoRR, 2018)

Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation. - Soubarna Banik; Alejandro Mendoza García; Lorenz Kiwull; Steffen Berweck; Alois C. Knoll (EMBC, 2021)

3D Human Pose Regression Using Graph Convolutional Network. - Soubarna Banik; Alejandro Mendoza García; Alois C. Knoll (ICIP, 2021)

Object Localization with Attribute Preference Based on Top-Down Attention. - Soubarna Banik; Mikko Lauri; Alois C. Knoll; Simone Frintrop (ICVS, 2021)

Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control. - Marco Oliva; Soubarna Banik; Josip Josifovski; Alois C. Knoll (IJCNN, 2022)

Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation. - Soubarna Banik; Patricia Gschoßmann; Alejandro Mendoza García; Alois Knoll (IJCNN, 2023)

PoseGraphNet++: Enriching 3D Human Pose with Orientation Estimation. - Soubarna Banik; Edvard Avagyan; Alejandro Mendoza Gracía; Alois Knoll (CoRR, 2023)

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks. - Michael Neumeier; Jules Lecomte; Nils Kazinski; Soubarna Banik; Bing Li; Axel von Arnim (CoRR, 2025)