Index for savc

Savc, M. Standard Author Listing
     with: Potocnik, B.: Combinational illumination estimation method based on im...

Savchenko, A. Standard Author Listing
     with: Miasnikov, E.: Detection and Recognition of Food in Photo Galleries fo...

Savchenko, A.V. Standard Author Listing
     with: Grachev, A.M.: Neural Networks Compression for Language Modeling
     with: Grechikhin, I.: User Modeling on Mobile Device Based on Facial Cluster...
     with: Ignatov, D.I.: Neural Networks Compression for Language Modeling
     with: Savchenko, L.V.: Towards the creation of reliable voice control system...

Savchenko, E. Standard Author Listing
     with: Balashov, I.: Vega-constellation Tools To Analize Hyperspectral Images
     with: Kashnitskii, A.: Vega-constellation Tools To Analize Hyperspectral Ima...
     with: Konstantinova, A.: Vega-constellation Tools To Analize Hyperspectral I...
     with: Kuznetsov, O.: Vega-constellation Tools To Analize Hyperspectral Images
     with: Loupian, E.: Vega-constellation Tools To Analize Hyperspectral Images
     with: Maklakov, S.: Vega-constellation Tools To Analize Hyperspectral Images
     with: Panova, O.: Vega-constellation Tools To Analize Hyperspectral Images
     with: Savorskiy, V.: Vega-constellation Tools To Analize Hyperspectral Images
     with: Tolpin, V.: Vega-constellation Tools To Analize Hyperspectral Images
     with: Uvarov, I.: Vega-constellation Tools To Analize Hyperspectral Images
10 for Savchenko, E.

Savchenko, L.V. Standard Author Listing
     with: Savchenko, A.V.: Towards the creation of reliable voice control system...

Savchenko, V. Standard Author Listing
     with: Lazunin, V.: Interactive visualization of multi-layered clothing

Savchina, E.I. Standard Author Listing
     with: Favorskaya, M.N.: Content Preserving Watermarking for Medical Images U...
     with: Favorskaya, M.N.: Digital Watermarking of 3d Medical Visual Objects

Savchynskyy, B. Standard Author Listing
     with: Alhaija, H.A.: Study of Lagrangean Decompositions and Dual Ascent Solv...
     with: Andres, B.: Comparative Study of Modern Inference Techniques for Discr...
     with: Andres, B.: Comparative Study of Modern Inference Techniques for Struc...
     with: Andres, B.: InstanceCut: From Edges to Instances with MultiCut
     with: Arnab, A.: Conditional Random Fields Meet Deep Neural Networks for Sem...
     with: Batra, D.: Comparative Study of Modern Inference Techniques for Discre...
     with: Batra, D.: Comparative Study of Modern Inference Techniques for Struct...
     with: Brachmann, E.: Global Hypothesis Generation for 6D Object Pose Estimat...
     with: Gumhold, S.: Global Hypothesis Generation for 6D Object Pose Estimation
     with: Hamprecht, F.A.: Comparative Study of Modern Inference Techniques for ...
     with: Hamprecht, F.A.: Comparative Study of Modern Inference Techniques for ...
     with: Hazan, T.: Multicuts and Perturb and MAP for Probabilistic Graph Clust...
     with: Hazan, T.: Probabilistic Correlation Clustering and Image Partitioning...
     with: Jayasumana, S.: Conditional Random Fields Meet Deep Neural Networks fo...
     with: Kahl, F.: Conditional Random Fields Meet Deep Neural Networks for Sema...
     with: Kainmuller, D.: Study of Lagrangean Decompositions and Dual Ascent Sol...
     with: Kamotskyy, O.: Character templates learning for textual images recogni...
     with: Kappes, J.H.: bundle approach to efficient MAP-inference by Lagrangian...
     with: Kappes, J.H.: Comparative Study of Modern Inference Techniques for Dis...
     with: Kappes, J.H.: Comparative Study of Modern Inference Techniques for Str...
     with: Kappes, J.H.: Evaluation of a First-Order Primal-Dual Algorithm for MR...
     with: Kappes, J.H.: MAP-Inference for Highly-Connected Graphs with DC-Progra...
     with: Kappes, J.H.: MRF Inference by k-Fan Decomposition and Tight Lagrangia...
     with: Kappes, J.H.: Multicuts and Perturb and MAP for Probabilistic Graph Cl...
     with: Kappes, J.H.: Partial Optimality by Pruning for MAP-Inference with Gen...
     with: Kappes, J.H.: Partial Optimality via Iterative Pruning for the Potts M...
     with: Kappes, J.H.: Probabilistic Correlation Clustering and Image Partition...
     with: Kappes, J.H.: study of Nesterov's scheme for Lagrangian decomposition ...
     with: Kausler, B.X.: Comparative Study of Modern Inference Techniques for Di...
     with: Kausler, B.X.: Comparative Study of Modern Inference Techniques for St...
     with: Kim, S.W.: Comparative Study of Modern Inference Techniques for Discre...
     with: Kim, S.W.: Comparative Study of Modern Inference Techniques for Struct...
     with: Kirillov, A.: Conditional Random Fields Meet Deep Neural Networks for ...
     with: Kirillov, A.: Global Hypothesis Generation for 6D Object Pose Estimation
     with: Kirillov, A.: Inferring M-Best Diverse Labelings in a Single One
     with: Kirillov, A.: InstanceCut: From Edges to Instances with MultiCut
     with: Kirillov, A.: Joint Training of Generic CNN-CRF Models with Stochastic...
     with: Komodakis, N.: Comparative Study of Modern Inference Techniques for Di...
     with: Komodakis, N.: Comparative Study of Modern Inference Techniques for St...
     with: Kroger, T.: Comparative Study of Modern Inference Techniques for Discr...
     with: Kroger, T.: Comparative Study of Modern Inference Techniques for Struc...
     with: Krull, A.: Global Hypothesis Generation for 6D Object Pose Estimation
     with: Kuske, J.: Dual Ascent Framework for Lagrangean Decomposition of Combi...
     with: Larsson, M.: Conditional Random Fields Meet Deep Neural Networks for S...
     with: Lellmann, J.: Comparative Study of Modern Inference Techniques for Dis...
     with: Lellmann, J.: Comparative Study of Modern Inference Techniques for Str...
     with: Levinkov, E.: InstanceCut: From Edges to Instances with MultiCut
     with: Michel, F.: Global Hypothesis Generation for 6D Object Pose Estimation
     with: Nowozin, S.: Comparative Study of Modern Inference Techniques for Disc...
     with: Nowozin, S.: Comparative Study of Modern Inference Techniques for Stru...
     with: Romera Paredes, B.: Conditional Random Fields Meet Deep Neural Network...
     with: Rother, C.: Comparative Study of Modern Inference Techniques for Discr...
     with: Rother, C.: Comparative Study of Modern Inference Techniques for Struc...
     with: Rother, C.: Conditional Random Fields Meet Deep Neural Networks for Se...
     with: Rother, C.: Global Hypothesis Generation for 6D Object Pose Estimation
     with: Rother, C.: Inferring M-Best Diverse Labelings in a Single One
     with: Rother, C.: InstanceCut: From Edges to Instances with MultiCut
     with: Rother, C.: Joint Training of Generic CNN-CRF Models with Stochastic O...
     with: Rother, C.: MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for De...
     with: Rother, C.: Study of Lagrangean Decompositions and Dual Ascent Solvers...
     with: Schlesinger, D.: Inferring M-Best Diverse Labelings in a Single One
     with: Schlesinger, D.: Joint Training of Generic CNN-CRF Models with Stochas...
     with: Schmidt, S.: Evaluation of a First-Order Primal-Dual Algorithm for MRF...
     with: Schmidt, S.: Getting Feasible Variable Estimates from Infeasible Ones:...
     with: Schmidt, S.: MAP-Inference for Highly-Connected Graphs with DC-Program...
     with: Schmidt, S.: MRF Inference by k-Fan Decomposition and Tight Lagrangian...
     with: Schmidt, S.: study of Nesterov's scheme for Lagrangian decomposition a...
     with: Schnorr, C.: bundle approach to efficient MAP-inference by Lagrangian ...
     with: Schnorr, C.: Comparative Study of Modern Inference Techniques for Disc...
     with: Schnorr, C.: Comparative Study of Modern Inference Techniques for Stru...
     with: Schnorr, C.: Evaluation of a First-Order Primal-Dual Algorithm for MRF...
     with: Schnorr, C.: MAP-Inference for Highly-Connected Graphs with DC-Program...
     with: Schnorr, C.: MRF Inference by k-Fan Decomposition and Tight Lagrangian...
     with: Schnorr, C.: Multicuts and Perturb and MAP for Probabilistic Graph Clu...
     with: Schnorr, C.: Partial Optimality by Pruning for MAP-Inference with Gene...
     with: Schnorr, C.: Partial Optimality via Iterative Pruning for the Potts Mo...
     with: Schnorr, C.: Probabilistic Correlation Clustering and Image Partitioni...
     with: Schnorr, C.: study of Nesterov's scheme for Lagrangian decomposition a...
     with: Shekhovtsov, A.: Maximum Persistency via Iterative Relaxed Inference i...
     with: Shekhovtsov, A.: Maximum persistency via iterative relaxed inference w...
     with: Shekhovtsov, A.: MPLP++: Fast, Parallel Dual Block-Coordinate Ascent f...
     with: Shekhovtsov, A.: Partial Optimality by Pruning for MAP-Inference with ...
     with: Shekhovtsov, A.: Partial Optimality via Iterative Pruning for the Pott...
     with: Swoboda, P.: Dual Ascent Framework for Lagrangean Decomposition of Com...
     with: Swoboda, P.: Maximum Persistency via Iterative Relaxed Inference in Gr...
     with: Swoboda, P.: Maximum persistency via iterative relaxed inference with ...
     with: Swoboda, P.: Multicuts and Perturb and MAP for Probabilistic Graph Clu...
     with: Swoboda, P.: Partial Optimality by Pruning for MAP-Inference with Gene...
     with: Swoboda, P.: Partial Optimality via Iterative Pruning for the Potts Mo...
     with: Swoboda, P.: Probabilistic Correlation Clustering and Image Partitioni...
     with: Swoboda, P.: Study of Lagrangean Decompositions and Dual Ascent Solver...
     with: Torr, P.H.S.: Conditional Random Fields Meet Deep Neural Networks for ...
     with: Torr, P.H.S.: Joint Training of Generic CNN-CRF Models with Stochastic...
     with: Tourani, S.: MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for D...
     with: Vetrov, D.: Inferring M-Best Diverse Labelings in a Single One
     with: Zheng, S.: Conditional Random Fields Meet Deep Neural Networks for Sem...
     with: Zheng, S.: Joint Training of Generic CNN-CRF Models with Stochastic Op...
101 for Savchynskyy, B.

Index for "s"


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