| 2021 | CBMI | Evaluation of Object Detection Systems and Video Tracking in Skiing Videos. | Philip Steinkellner, Klaus Schffmann |
| 2021 | ICONIP | ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos. | Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schffmann |
| 2018 | CBMS | Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology. | Stefan Petscharnig, Klaus Schffmann, Jenny Benois-Pineau, Souad Chaabouni, Jrg Keckstein |
| 2018 | SISAP | What Is the Role of Similarity for Known-Item Search at Video Browser Showdown? | Jakub Lokoc, Werner Bailer, Klaus Schffmann |
| 2017 | MMM | Deep Learning for Shot Classification in Gynecologic Surgery Videos. | Stefan Petscharnig, Klaus Schffmann |
| 2016 | CBMS | Domain-Specific Video Compression for Long-Term Archiving of Endoscopic Surgery Videos. | Bernd Mnzer, Klaus Schffmann, Lszl Bszrmnyi |
| 2009 | MMM | A Novel Approach for Fast and Accurate Commercial Detection in H.264/AVC Bit Streams Based on Logo Identification. | Klaus Schffmann, Mathias Lux, Lszl Bszrmnyi |
| 2008 | MMM | Fast Segmentation of H.264/AVC Bitstreams for On-Demand Video Summarization. | Klaus Schffmann, Lszl Bszrmnyi |
| 2008 | NOSSDAV | Fast and flexible video content browsing based on H.264/AVC features. | Klaus Schffmann, Lszl Bszrmnyi |
| 2007 | EuroPar | An Evaluation of Parallelization Concepts for Baseline-Profile Compliant H.264/AVC Decoders. | Klaus Schffmann, Markus Fauster, Oliver Lampl, Lszl Bszrmnyi |