Publications (since 2022)

S. Casarin, C.I. Ugwu, S. Escalera, O. Lanz: Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion. IEEE/CVF International Conference on Computer Vision and Pattern Recognition, CVPR 2024.

A. Rosani, I. Donadello, M. Calvanese, A. Torcinovich, G. Di Fatta, M. Montali and O. Lanz: Video Analytics for Volleyball: Preliminary Results and Future Prospects of the 5VREAL Project. Workshop AI per l’Industria, Convegno Nazionale CINI sull’Intelligenza Artificiale, Ital-IA 2024.

S. Casarin, E. Caruso, O. Lanz: GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search under Distribution Shifts. Fifth Workshop on Neural Architecture Search, IEEE/CVF International Conference on Computer Vision and Pattern Recognition, NAS @ CVPR 2024.

C.I. Ugwu, S. Casarin, O. Lanz: Fractals as Pre-training Datasets for Anomaly Detection and Localization. Workshop on Fair, Data-efficient and Trusted Computer Vision, IEEE/CVF International Conference on Computer Vision and Pattern Recognition, TCV @ CVPR 2024.

J. Rabensteiner, C.I. Ugwu, O. Lanz: Improving Semantic Segmentation Models through Synthetic Data Generation via Diffusion Models. Workshop on Data-centric Machine Learning Research, International Conference on Learning Representations, DMLR @ ICLR 2024.

E. Caruso, S. Casarin, T. Pfund, F. Schupp, O. Lanz: Automated visual inspection via differentiable physically-based rendering under unknown illumination. International Symposium on Industrial Engineering and Automation, ISIEA 2024.

E. Bianchi, O. Lanz: Egocentric video-based human action recognition in industrial environments. International Symposium on Industrial Engineering and Automation, ISIEA 2024.

S. Casarin, C.I. Ugwu: DDS-NAS-Bench: Towards predictors under Data Distribution Shift. International Conference on Machine Vision and Applications, ICMVA 2024.

C.I. Ugwu, S. Casarin, O. Lanz: Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion. International Conference on Machine Vision and Applications, ICMVA 2024.

S. Sudhakaran, S. Escalera, O. Lanz: Gate-Shift-Fuse for Video Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45(9), pp. 10913-10928, 2023.

S. Sudhakaran, S. Escalera, O. Lanz: Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45(6), pp. 6674-6687, 2023.

A. Falcon, G. Serra, O. Lanz: Video Question Answering supported by a Multi-task Learning Objective. Multimedia Tools and Applications, vol. 82, pp. 38799–38826, 2023.

M. Lakhal, O. Lanz, A. Cavallaro: Multi-View Video Synthesis through Progressive Synthesis and Refinement. International Conference on Computer Vision Theory and Applications, VISAPP 2023.

A. Falcon, G. D’Agostino, O. Lanz, G. Brajnik, C. Tasso, G. Serra: Neural Turing Machines for the Remaining Useful Life estimation problem. Computers in Industry, vol. 143, 2022.

A. Falcon, G. Serra, O. Lanz: A Feature-Space Multimodal Data Augmentation Technique for Text-Video Retrieval. ACM International Conference on Multimedia, ACMMM 2022.

T-M. Tai, G. Fiameni, C-K. Lee, Simon See, O. Lanz: Unified Recurrence Modeling for Video Action Anticipation. International Conference on Pattern Recognition, ICPR 2022.

A. Falcon, S. Sudhakaran, G. Serra, S. Escalera, O. Lanz: Relevance-based Margin for Contrastively-trained Video Retrieval Models. International Conference on Multimedia Retrieval, ICMR 2022.

T-M. Tai, G. Fiameni, C-K. Lee, O. Lanz: Higher Order Recurrent Network with Space-Time Attention for Video Early Action Recognition. IEEE International Conference on Image Processing, ICIP 2022.

M. Lakhal, O. Lanz, A. Cavallaro: Implicit Texture Mapping for Multi-View Video Synthesis. British Machine Vision Conference, BMVC 2022.