Pan, X.; Tewari, A.; Leimkühler, T.; Liu, L.; Meka, A.; Theobalt, C.: Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold. In: Proceedings SIGGRAPH 2023 Conference Papers, 78, pp. 1 - 11 (Eds. Brunvand, E.; Sheffer, A.; Wimmer, M.). ACM SIGGRAPH Conference, Los Angeles, CA, USA, August 06, 2023 - August 10, 2023. ACM, New York, NY (2023)

Pan, X.; Tewari, A.; Liu, L.; Theobalt, C.: GAN2X: Non-Lambertian Inverse Rendering of Image GANs. In: International Conference on 3D Vision, pp. 711 - 721. International Conference on 3D Vision, Hybrid / Prague, Czechia, September 12, 2022 - September 15, 2022. IEEE, Piscataway, NJ (2023)

Petrov, I. A.; Marin, R.; Chibane, J.; Pons-Moll, G.: Object Pop-Up: Can We Infer 3D Objects and their Poses from Human Interactions Alone? In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4726 - 4736. 36th IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, June 18, 2023 - June 23, 2023. IEEE, Piscataway, NJ (2023)

Pletinckx, S.; Nguyen, T.-D.; Fiebig, T.; Kruegel, C.; Vigna, G.: Certifiably Vulnerable: Using Certificate Transparency Logs for Target Reconnaissance. In: 8th IEEE European Symposium on Security and Privacy, pp. 817 - 831. 8th IEEE European Symposium on Security and Privacy, Delft, The Netherlands, July 03, 2023 - July 07, 2023. IEEE, Piscataway, NJ (2023)

Prasse, K.; Jung, S.; Bravo, I. B.; Walter, S.; Keuper, M.: Towards Understanding Climate Change Perceptions: A Social Media Dataset. In: NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, pp. 1 - 20 (Eds. Bhalerao, R.; Roth, M.; Jeggle, K.; Montalvo Arviszu, J.; Madadkhani, S. et al.). Workshop on Tackling Climate Change with Machine Learning, New Orleans, LA, USA, December 16, 2023. climatechange.ai (2023)

Rao, S.; Böhle, M.; Parchami-Araghi, A.; Schiele, B.: Studying How to Efficiently and Effectively Guide Models with Explanations. In: IEEE/CVF International Conference on Computer Vision, pp. 1922 - 1933. IEEE/CVF International Conference on Computer Vision, Paris, France, October 02, 2023 - October 06, 2023. IEEE, Piscataway, NJ (2023)

Rasaii, A.; Singh, S.; Gosain, D.; Gasser, O.: Exploring the Cookieverse: A Multi-Perspective Analysis of Web Cookies. In: Passive and Active Measurement, pp. 623 - 651 (Eds. Brunstrom, A.; Flores, M.; Fiore, M.). 24th International Conference on Passive and Active Measurement , Virtual Event, March 21, 2023 - March 23, 2023. Springer, Berlin (2023)

Reed, C. N.: As the Luthiers Do: Designing with a Living, Growing, Changing Body-Material. In: CHI’ 23 Workshop - Body x Materials. ACM CHI Workshop on Body X Materials, Hamburg, Germany, April 23, 2023. (accepted)

Reed, C. N.; McPherson, A. P.: The Body as Sound: Unpacking Vocal Embodiment through Auditory Biofeedback. In: TEI '23, 7, pp. 1 - 15. Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction, Warsaw, Poland, February 26, 2023 - March 01, 2023. ACM, New York, NY (2023)

Reed, C. N.; Strohmeier, P.; McPherson, A.: Negotiating Experience and Communicating Information Through Abstract Metaphor. In: CHI '23, 185, pp. 1 - 16. CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, April 23, 2023 - April 28, 2023. ACM, New York, NY (2023)

Sabnis, N.; Wittchen, D.; Reed, C. N.; Pourjafarian, N.; Steimle, J.; Strohmeier, P.: Haptic Servos: Self-Contained Vibrotactile Rendering System for Creating or Augmenting Material Experiences. In: CHI '23, 522, pp. 1 - 17. CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, April 23, 2023 - April 28, 2023. ACM, New York, NY (2023)

Sabnis, N.; Wittchen, D.; Vega, G.; Reed, C. N.; Strohmeier, P.: Tactile Symbols with Continuous and Motion-Coupled Vibration: An Exploration of using Embodied Experiences for Hermeneutic Design. In: CHI '23, 688, pp. 1 - 19 (Eds. Schmidt, A.; Väänänen, K.). CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, April 23, 2023 - April 28, 2023. ACM, New York, NY (2023)

Schönfeld, E.; Borges, J.; Sushko, V.; Schiele, B.; Khoreva, A.: Discovering Class-Specific GAN Controls for Semantic Image Synthesis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 688 - 697. Generative Models for Computer Vision, Vancouver, Canada, June 18, 2023. IEEE, Piscataway, NJ (2023)

Sediqi, K. Z.; Feldmann, A.; Gasser, O.: Live Long and Prosper: Analyzing Long-Lived MOAS Prefixes in BGP. In: 7th Network Traffic Measurement and Analysis Conference, pp. 1 - 10. 7th Network Traffic Measurement and Analysis Conference, Naples, Italy, June 26, 2023 - June 29, 2023. IEEE, Piscataway, NJ (2023)

Seelbach Benkner, M.; Krahn, M.; Tretschk, E.; Lähner, Z.; Moeller, M.; Golyanik, V.: QuAnt: Quantum Annealing with Learnt Couplings. In: Eleventh International Conference on Learning Representations. Eleventh International Conference on Learning Representations, Kigali, Rwanda, May 01, 2023 - May 05, 2023. OpenReview.net (accepted)

Segu, M.; Schiele, B.; Yu, F.: DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. In: IEEE/CVF International Conference on Computer Vision, pp. 9683 - 9693. IEEE/CVF International Conference on Computer Vision, Paris, France, October 02, 2023 - October 06, 2023. IEEE, Piscataway, NJ (2023)

Shvetsova, N.; Kukleva, A.; Schiele, B.; Kuehne, H.: In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. In: IEEE/CVF International Conference on Computer Vision, pp. 21924 - 21935. IEEE/CVF International Conference on Computer Vision, Paris, France, October 02, 2023 - October 06, 2023. IEEE, Piscataway, NJ (2023)

Shvetsova, N.; Petersen, F.; Kukleva, A.; Schiele, B.; Kuehne, H.: Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. In: IEEE/CVF International Conference on Computer Vision, pp. 16407 - 16417. IEEE/CVF International Conference on Computer Vision, Paris, France, October 02, 2023 - October 06, 2023. IEEE, Piscataway, NJ (2023)

Simon, H. U.: Tournaments, Johnson Graphs, and NC-Teaching. In: Proceedings of the 34th International Conference on Algorithmic Learning Theory, pp. 1411 - 1428 (Eds. Agrawal, S.; Orabona, F.). The 34th International Conference on Algorithmic Learning Theory, Singapore, Singapore, February 20, 2023 - February 23, 2023. PMLR (2023)

Sinha, S.; Gehler, P.; Locatello, F.; Schiele, B.: TeST: Test-Time Self-Training Under Distribution Shift. In: 2023 IEEE Winter Conference on Applications of Computer Vision, pp. 2758 - 2768. IEEE Winter Conference on Applications of Computer Vision, Waikoloa Village, HI, USA, January 03, 2023 - January 07, 2023. IEEE, Piscataway, NJ (2023)