superpixels. Additionally this work extends a state-of-the-art hierarchical image segmentation algorithm to include motion-cues, for the extraction of superpixels. The provided source code includes pe
the list. Often, the counterexamples need not be present in a list, but they can be deduced algorithmically on the fly. See the experimental section of "LEILA: Learning to Extract Information by Linguistic
Approach to Social Relation Recognition. CVPR 2017. [ Paper ] [2] Bugental, D.B.: Acquisition of the Algorithms of Social Life: A Domain-Based Approach. Psychological Bulletin, Vol. 126, No. 2, pp. 187-219,
Coupette Assistant Professor Aalto University, Helsinki (after having graduated with the MPI-Inf Dep. Algorithms and Complexity, Saarbruecken, Germany) Daniel Wagner Researcher DE-CIX Management GmbH, Frankfurt
Rother, T. Brox, B. Schiele, and B. Andres “Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) [...] @inproceedings{levinkov-2017-cvpr, TITLE = {Joint Graph Decomposition and Node Labeling: {P}roblem, Algorithms, Applications}, AUTHOR = {Levinkov, Evgeny and Uhrig, Jonas and Tang, Siyu and Omran, Mohamed and [...] MPI for Informatics, Max Planck Society %T Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-05DB-2 %R 10.1109/CVPR
the proposed formulation is NP-hard and the branch-and-bound algorithm is too slow in practice, we propose an efficient local search algorithm for inference into resulting problems. We demonstrate versatility [...] the proposed formulation is NP-hard and the branch-and-bound algorithm is too slow in practice, we propose an efficient local search algorithm for inference into resulting problems. We demonstrate versatility [...] the proposed formulation is NP-hard and the branch-and-bound algorithm is too slow in practice, we propose an efficient local search algorithm for inference into resulting problems. We demonstrate versatility
and preference prediction from implicit human cues. First, we propose a search target inference algorithm from human fixation data recorded during visual search. In contrast to previous work that has focused [...] and preference prediction from implicit human cues. First, we propose a search target inference algorithm from human fixation data recorded during visual search. In contrast to previous work that has focused [...] and preference prediction from implicit human cues. First, we propose a search target inference algorithm from human fixation data recorded during visual search. In contrast to previous work that has focused
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Research Departments Algorithms and Complexity People Former Members Former Members A Abed, Fidaa Abo-Hasna, Ziad Abraham, David Adamaszek, Michal Adamaszek, Anna Afanasev, Kirill Agarwal, Manindra Agarwal
the axioms of E, substituting equals for equals. In 1970, Knuth and Bendix presented a completion algorithm, which later was extended to unfailing completion, as described e.g. by Bachmair et al . Parameterized
