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 Haller, S, Prakash, M, Hutschenreiter, L, Pietzsch, T, Rother, C, Jug, F, Swoboda, P and Savchynskyy, B (2020). A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS 2020\par \par  Shekhovtsov, A, Swoboda, P and Savchynskyy, B (2018). Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40 1668?1682. http://www.icg.tugraz.at/\par \par  Kappes, J Hendrik, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2016). Multicuts and Perturb & MAP for Probabilistic Graph Clustering. Journal of Mathematical Imaging and Vision. 56 221?237. http://arxiv.org/abs/1601.02088\par \par  Swoboda, P, Shekhovtsov, A, Kappes, J Hendrik, Schn\'f6rr, C and Savchynskyy, B (2016). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE Computer Society. 38 1370?1382\par \par  Kappes, J Hendrik, Swoboda, P, Savchynskyy, B, Hazan, T and Schn\'f6rr, C (2015). Probabilistic correlation clustering and image partitioning using perturbed Multicuts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9087 231?242\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014\par \par  Savchynskyy, B, Kappes, J H, Swoboda, P and Schn\'f6rr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS\par \par  Savchynskyy, B, Kappes, J Hendrik, Swoboda, P and Schn\'f6rr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS\par \par  Swoboda, P, Savchynskyy, B, Kappes, J H and Schn\'f6rr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)\par \par  Swoboda, P and Schn\'f6rr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321--334\par \par }