Insatiate boosted forest: Towards data exploitation in object detection. - Farzin Ghorban; Yu Su 003; Mirko Meuter; Anton Kummert (ICCP, 2017)

Aggregated channels network for real-time pedestrian detection. - Farzin Ghorban; Javier Marín; Yu Su 003; Alessandro Colombo; Anton Kummert (ICMV, 2017)

Conditional multichannel generative adversarial networks with an application to traffic signs representation learning. - Farzin Ghorban; Narges Milani; Daniel Schugk; Lutz Roese-Koerner; Yu Su 003; Dennis Müller 002; Anton Kummert (Prog. Artif. Intell., 2019)

Machine learning in advanced driver-assistance systems. - Farzin Ghorban (Logos Verlag Berlin GmbH, 2019)

Introducing a New Benchmarked Dataset for Mechanical Stop Detection of Stepper Motors. - Maxime Goubeaud; Tim Grunert; Jan Lützenkirchen; Philipp Joußen; Farzin Ghorban; Anton Kummert (ICECS, 2020)

Improving FM-GAN through Mixup Manifold Regularization. - Farzin Ghorban; Nesreen Hasan; Jörg Velten; Anton Kummert (ISCAS, 2021)

Individual Weighting of Unlabeled Data Points via Confidence-Awareness in Semi-Supervised Learning. - Farzin Ghorban; Nesreen Hasan; Jörg Velten; Anton Kummert (ISCAS, 2022)

CGT: Consistency Guided Training in Semi-Supervised Learning. - Nesreen Hasan; Farzin Ghorban; Jörg Velten; Anton Kummert (VISIGRAPP (5: VISAPP), 2022)