Forschungspapier (740)

10801.
Forschungspapier
Sattar, H.; Krombholz, K.; Pons-Moll, G.; Fritz, M.: Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches. (2019), 10 S.
10802.
Forschungspapier
Shimada, S.; Golyanik, V.; Theobalt, C.; Stricker, D.: IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction. (2019), 13 S.
10803.
Forschungspapier
Shimada, S.; Golyanik, V.; Tretschk, E.; Stricker, D.; Theobalt, C.: DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies. (2019)
10804.
Forschungspapier
Shukla, A.; Saidi, S. J.; Schmid, S.; Canini, M.; Zinner, T.; Feldmann, A.: Consistent SDNs through Network State Fuzzing. (2019), 16 S.
10805.
Forschungspapier
Stutz, D.; Hein, M.; Schiele, B.: Confidence-Calibrated Adversarial Training and Detection: More Robust Models Generalizing Beyond the Attack Used During Training. (2019)
10806.
Forschungspapier
Tatti, N.; Miettinen, P.: Boolean Matrix Factorization Meets Consecutive Ones Property. (2019), 13 S.
10807.
Forschungspapier
Teucke, A.; Voigt, M.; Weidenbach, C.: On the Expressivity and Applicability of Model Representation Formalisms. (2019), 15 S.
10808.
Forschungspapier
Thies, J.; Elgharib, M.; Tewari, A.; Theobalt, C.; Nießner, M.: Neural Voice Puppetry: Audio-driven Facial Reenactment. (2019), 12 S.
10809.
Forschungspapier
Tigunova, A.; Yates, A.; Mirza, P.; Weikum, G.: Listening between the Lines: Learning Personal Attributes from Conversations. (2019), 11 S.
10810.
Forschungspapier
Tretschk, E.; Tewari, A.; Zollhöfer, M.; Golyanik, V.; Theobalt, C.: DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects. (2019), 13 S.
10811.
Forschungspapier
Wang, H.; Grgic-Hlaca, N.; Lahoti, P.; Gummadi, K. P.; Weller, A.: An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. (2019), 7 S.
10812.
Forschungspapier
Xu, L.; Xu, W.; Golyanik, V.; Habermann, M.; Fang, L.; Theobalt, C.: EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera. (2019), 10 S.
10813.
Forschungspapier
Yenamandra, T.; Bernard, F.; Wang, J.; Mueller, F.; Theobalt, C.: Convex Optimisation for Inverse Kinematics. (2019), 10 S.
10814.
Forschungspapier
Zannettou, S.; Caulfield, T.; Bradlyn, B.; De Cristofaro, E.; Stringhini, G.; Blackburn, J.: Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter. (2019)
10815.
Forschungspapier
Ray Chaudhury, B.; Mehlhorn, K.: Combinatorial Algorithms for General Linear Arrow-Debreu Markets. (2018), 27 S.
10816.
Forschungspapier
Abboud, A.; Backurs, A.; Bringmann, K.; Künnemann, M.: Fine-Grained Complexity of Analyzing Compressed Data: Quantifying Improvements over Decompress-And-Solve. (2018), 63 S.
10817.
Forschungspapier
Abboud, A.; Bringmann, K.: Tighter Connections Between Formula-SAT and Shaving Logs. (2018), 36 S.
10818.
Forschungspapier
Abboud, A.; Bringmann, K.; Hermelin, D.; Shabtay, D.: SETH-Based Lower Bounds for Subset Sum and Bicriteria Path. (2018), 23 S.
10819.
Forschungspapier
Abrahamsen, M.; Adamaszek, A.; Bringmann, K.; Cohen-Addad, V.; Mehr, M.; Rotenberg, E.; Roytman, A.; Thorup, M.: Fast Fencing. (2018), 52 S.
10820.
Forschungspapier
Abujabal, A.; Saha Roy, R.; Yahya, M.; Weikum, G.: ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters. (2018), 11 S.
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