Padois, V.
Standard Author Listing
with: Benamar, F.: Two-Step Optimization-Based Synthesis of Squat Movements, A
with: Desailly, E.: Two-Step Optimization-Based Synthesis of Squat Movements...
with: Hoa, B.Q.: Two-Step Optimization-Based Synthesis of Squat Movements, A
Padokhin, A.M.
Standard Author Listing
with: Kurbatov, G.A.: Galileo E5 AltBOC Signals: Application for Single-Freq...
with: Morozov, Y.V.: Galileo E5 AltBOC Signals: Application for Single-Frequ...
with: Mylnikova, A.A.: Galileo E5 AltBOC Signals: Application for Single-Fre...
with: Vesnin, A.M.: Galileo E5 AltBOC Signals: Application for Single-Freque...
with: Yasyukevich, Y.V.: Galileo E5 AltBOC Signals: Application for Single-F...
Padole, C.N.
Standard Author Listing
with: Alexandre, L.A.: Wigner distribution based motion tracking of human be...
Pados, D.
Standard Author Listing
with: Batalama, S.: Joint Source-channel Coding for Scalable Video Over DS-C...
with: Katsaggelos, A.K.: Joint Source-channel Coding for Scalable Video Over...
with: Kondi, L.P.: Joint Source-channel Coding for Scalable Video Over DS-CD...
Pados, D.A.
Standard Author Listing
with: Acharya, R.: On Dempster-Shafer and bayesian detectors
with: Batalama, S.N.: Blind Iterative Recovery of Spread-Spectrum Steganogra...
with: Batalama, S.N.: L1-Subspace Tracking for Streaming Data
with: Batalama, S.N.: Layered video transmission over wireless multirate DS-...
with: Batalama, S.N.: Passive spread-spectrum steganalysis
with: Ghosh, D.: On Dempster-Shafer and bayesian detectors
with: Gkizeli, M.: Blind Iterative Recovery of Spread-Spectrum Steganographi...
with: Gkizeli, M.: Optimal Signature Design for Spread-Spectrum Steganography
with: Gkizeli, M.: SINR, bit error rate, and shannon capacity optimized spre...
with: Kim, J.: Reconstruction of Compressed-Sensed Multiview Video With Disp...
with: Kondi, L.P.: Layered video transmission over wireless multirate DS-CDM...
with: Kondi, L.P.: Scalable Video Transmission Over Wireless DS-CDMA Channel...
with: Kulhandjian, M.: Passive spread-spectrum steganalysis
with: Kundu, S.: L1-fusion: Robust linear-time image recovery from few sever...
with: Li, M.: Motion-Aware Decoding of Compressed-Sensed Video
with: Li, M.: Passive spread-spectrum steganalysis
with: Liu, Y.: Compressed-Sensed-Domain L1-PCA Video Surveillance
with: Liu, Y.: L1-Subspace Tracking for Streaming Data
with: Liu, Y.: Motion-Aware Decoding of Compressed-Sensed Video
with: Liu, Y.: Reconstruction of Compressed-Sensed Multiview Video With Disp...
with: Llinas, J.: On Dempster-Shafer and bayesian detectors
with: Markopoulos, P.P.: L1-fusion: Robust linear-time image recovery from f...
with: Medley, M.J.: Blind Iterative Recovery of Spread-Spectrum Steganograph...
with: Medley, M.J.: L1-Subspace Tracking for Streaming Data
with: Medley, M.J.: Optimal Signature Design for Spread-Spectrum Steganography
with: Medley, M.J.: Passive spread-spectrum steganalysis
with: Medley, M.J.: SINR, bit error rate, and shannon capacity optimized spr...
with: Srinivasan, D.: Layered video transmission over wireless multirate DS-...
with: Srinivasan, D.: Scalable Video Transmission Over Wireless DS-CDMA Chan...
with: Tountas, K.: L1-Subspace Tracking for Streaming Data
with: Zhang, C.: Reconstruction of Compressed-Sensed Multiview Video With Di...
31 for Pados, D.A.
Padova, B.
Standard Author Listing
with: Fusiello, A.: Efficient Large-scale Airborne Lidar Data Classification...
with: Maset, E.: Efficient Large-scale Airborne Lidar Data Classification Vi...
Padovan, B.
Standard Author Listing
with: Brogioni, M.: Ground-Based L-Band Emission Measurements at Dome-C Anta...
with: Crepaz, A.: Ground-Based L-Band Emission Measurements at Dome-C Antarc...
with: Drinkwater, M.: Ground-Based L-Band Emission Measurements at Dome-C An...
with: Macelloni, G.: Ground-Based L-Band Emission Measurements at Dome-C Ant...
with: Pettinato, S.: Ground-Based L-Band Emission Measurements at Dome-C Ant...
with: Zaccaria, J.: Ground-Based L-Band Emission Measurements at Dome-C Anta...
with: Zasso, R.: Ground-Based L-Band Emission Measurements at Dome-C Antarct...
7 for Padovan, B.
Padovani de Souza, K.
Standard Author Listing
with: de Andrade Silva, J.: Comparison of Shape Descriptors for Mice Behavio...
with: Goncalves, W.N.: Comparison of Shape Descriptors for Mice Behavior Rec...
with: Machado, B.B.: Comparison of Shape Descriptors for Mice Behavior Recog...
with: Pistori, H.: Comparison of Shape Descriptors for Mice Behavior Recogni...
with: Schiaveto de Souza, A.: Comparison of Shape Descriptors for Mice Behav...
Padovani, C.R.
Standard Author Listing
with: Andrade, R.G.: Use of MODIS Images to Quantify the Radiation and Energ...
with: de C. Teixeira, A.H.: Use of MODIS Images to Quantify the Radiation an...
with: de C. Victoria, D.: Use of MODIS Images to Quantify the Radiation and ...
with: Galdino, S.: Use of MODIS Images to Quantify the Radiation and Energy ...
with: Leivas, J.F.: Use of MODIS Images to Quantify the Radiation and Energy...
Padovani, S.
Standard Author Listing
with: Andres, A.M.: Face recognition on partially occluded images using comp...
with: Andres, A.M.: Randomized Face Recognition on Partially Occluded Images
with: Jacobo Berlles, J.: Face recognition on partially occluded images usin...
with: Jacobo Berlles, J.: Randomized Face Recognition on Partially Occluded ...
with: Mejail, M.: Randomized Face Recognition on Partially Occluded Images
with: Tepper, M.: Face recognition on partially occluded images using compre...
with: Tepper, M.: Randomized Face Recognition on Partially Occluded Images
7 for Padovani, S.
Padovano, A.
Standard Author Listing
with: Albinet, C.: Machine-Learning Applications for the Retrieval of Forest...
with: Cuozzo, G.: Machine-Learning Applications for the Retrieval of Forest ...
with: Notarnicola, C.: Machine-Learning Applications for the Retrieval of Fo...
with: Paloscia, S.: Machine-Learning Applications for the Retrieval of Fores...
with: Pettinato, S.: Machine-Learning Applications for the Retrieval of Fore...
with: Santi, E.: Machine-Learning Applications for the Retrieval of Forest B...
Padovano, D.
Standard Author Listing
with: di Capua, M.: Architecture for Multimedia Content Publishing with GIS-...
with: Sebillo, M.: Architecture for Multimedia Content Publishing with GIS-B...
Padoy, N.
Standard Author Listing
with: Adler, T.J.: Why is the Winner the Best?
with: Alapatt, D.: Federated Cycling (FedCy): Semi-Supervised Federated Lear...
with: Alapatt, D.: Latent Graph Representations for Critical View of Safety ...
with: Ali, S.: Why is the Winner the Best?
with: Andrearczyk, V.: Why is the Winner the Best?
with: Aubreville, M.: Why is the Winner the Best?
with: Aydogan, D.: Why is the Winner the Best?
with: Baid, U.: Why is the Winner the Best?
with: Bakas, S.: Why is the Winner the Best?
with: Balu, N.: Why is the Winner the Best?
with: Bano, S.: Why is the Winner the Best?
with: Barrera, F.: Piecewise Planar Decomposition of 3D Point Clouds Obtaine...
with: Bawa, V.S.: Why is the Winner the Best?
with: Berger, M.O.: Workflow monitoring based on 3D motion features
with: Bernal, J.: Why is the Winner the Best?
with: Bhattarai, B.: Why is the Winner the Best?
with: Bloch, L.: Why is the Winner the Best?
with: Bodenstedt, S.: Why is the Winner the Best?
with: Brungel, R.: Why is the Winner the Best?
with: Casella, A.: Why is the Winner the Best?
with: Cheplygina, V.: Why is the Winner the Best?
with: Cho, J.: Why is the Winner the Best?
with: Choi, C.: Why is the Winner the Best?
with: DallAlba, D.: Weakly Supervised Temporal Convolutional Networks for Fi...
with: Daum, M.: Why is the Winner the Best?
with: de Bruijne, M.: Why is the Winner the Best?
with: de Mathelin, M.: EndoNet: A Deep Architecture for Recognition Tasks on...
with: de Mathelin, M.: Multi-view RGB-D Approach for Human Pose Estimation i...
with: Depeursinge, A.: Why is the Winner the Best?
with: Dorent, R.: Why is the Winner the Best?
with: Dou, Q.: Why is the Winner the Best?
with: Egger, J.: Why is the Winner the Best?
with: Eisenmann, M.: Why is the Winner the Best?
with: Ellis, D.G.: Why is the Winner the Best?
with: Engelhardt, S.: Why is the Winner the Best?
with: Esposito, L.: Wavelet energy map: A robust support for multi-modal reg...
with: Ezhov, I.: Why is the Winner the Best?
with: Faura, A.G.: Why is the Winner the Best?
with: Fiorini, P.: Weakly Supervised Temporal Convolutional Networks for Fin...
with: Friedrich, C.M.: Why is the Winner the Best?
with: Fuller, C.: Why is the Winner the Best?
with: Gaire, R.R.: Why is the Winner the Best?
with: Galdran, A.: Why is the Winner the Best?
with: Gangi, A.: Multi-view RGB-D Approach for Human Pose Estimation in Oper...
with: Ganz, M.: Why is the Winner the Best?
with: Garcia, A.: Latent Graph Representations for Critical View of Safety A...
with: Ghatwary, N.: Why is the Winner the Best?
with: Girard, G.: Why is the Winner the Best?
with: Godau, P.: Why is the Winner the Best?
with: Gonzalez, C.: Weakly Supervised Temporal Convolutional Networks for Fi...
with: Grammatikopoulou, M.: Why is the Winner the Best?
with: Gupta, A.: Why is the Winner the Best?
with: Hager, G.D.: Deformable Tracking of Textured Curvilinear Objects
with: Hansen, L.: Why is the Winner the Best?
with: Harada, K.: Why is the Winner the Best?
with: Heinrich, M.: Why is the Winner the Best?
with: Heller, N.: Why is the Winner the Best?
with: Hering, A.: Why is the Winner the Best?
with: Hong, S.: Why is the Winner the Best?
with: Huaulme, A.: Why is the Winner the Best?
with: Isensee, F.: Why is the Winner the Best?
with: Jager, P.F.: Why is the Winner the Best?
with: Jahanifar, M.: Why is the Winner the Best?
with: Jang, I.: Why is the Winner the Best?
with: Jannin, P.: Why is the Winner the Best?
with: Kadkhodamohammadi, A.: Multi-view RGB-D Approach for Human Pose Estima...
with: Kadkhodamohammadi, A.: Why is the Winner the Best?
with: Kang, I.: Why is the Winner the Best?
with: Kannan, S.: Future-State Predicting LSTM for Early Surgery Type Recogn...
with: Karargyris, A.: Federated Cycling (FedCy): Semi-Supervised Federated L...
with: Kassem, H.: Federated Cycling (FedCy): Semi-Supervised Federated Learn...
with: Kavur, A.E.: Why is the Winner the Best?
with: Kodym, O.: Why is the Winner the Best?
with: Kofler, F.: Why is the Winner the Best?
with: Kondo, S.: Why is the Winner the Best?
with: Kopp Schneider, A.: Why is the Winner the Best?
with: Kozubek, M.: Why is the Winner the Best?
with: Kuijf, H.: Why is the Winner the Best?
with: Li, H.: Why is the Winner the Best?
with: Li, J.: Why is the Winner the Best?
with: Li, M.: Why is the Winner the Best?
with: Luu, M.: Why is the Winner the Best?
with: Ma, J.: Why is the Winner the Best?
with: Maier Hein, K.: Why is the Winner the Best?
with: Maier Hein, L.: Why is the Winner the Best?
with: Marescaux, J.: EndoNet: A Deep Architecture for Recognition Tasks on L...
with: Marescaux, J.: Future-State Predicting LSTM for Early Surgery Type Rec...
with: Marescaux, J.: RSDNet: Learning to Predict Remaining Surgery Duration ...
with: Marescaux, J.: Weakly Supervised Temporal Convolutional Networks for F...
with: Martin Isla, C.: Why is the Winner the Best?
with: Martincic, T.: Why is the Winner the Best?
with: Mascagni, P.: Federated Cycling (FedCy): Semi-Supervised Federated Lea...
with: Mascagni, P.: Latent Graph Representations for Critical View of Safety...
with: Mascagni, P.: Weakly Supervised Temporal Convolutional Networks for Fi...
with: Mateus, D.: Workflow monitoring based on 3D motion features
with: Menze, B.: Why is the Winner the Best?
with: Morais, P.: Why is the Winner the Best?
with: Murali, A.: Latent Graph Representations for Critical View of Safety A...
with: Mutter, D.: EndoNet: A Deep Architecture for Recognition Tasks on Lapa...
with: Mutter, D.: Future-State Predicting LSTM for Early Surgery Type Recogn...
with: Mutter, D.: Latent Graph Representations for Critical View of Safety A...
with: Mutter, D.: RSDNet: Learning to Predict Remaining Surgery Duration fro...
with: Mutter, D.: Weakly Supervised Temporal Convolutional Networks for Fine...
with: Naser, M.A.: Why is the Winner the Best?
with: Navab, N.: Wavelet energy map: A robust support for multi-modal regist...
with: Navab, N.: Workflow monitoring based on 3D motion features
with: Noble, A.: Why is the Winner the Best?
with: Okamoto, N.: Latent Graph Representations for Critical View of Safety ...
with: Oliveira, B.: Why is the Winner the Best?
with: Oreiller, V.: Why is the Winner the Best?
with: Owen, D.: Why is the Winner the Best?
with: Pang, S.: Why is the Winner the Best?
with: Park, J.: Why is the Winner the Best?
with: Park, S.: Why is the Winner the Best?
with: Pati, S.: Why is the Winner the Best?
with: Pauly, O.: Wavelet energy map: A robust support for multi-modal regist...
with: Payette, K.: Why is the Winner the Best?
with: Plotka, S.: Why is the Winner the Best?
with: Poppert, H.: Wavelet energy map: A robust support for multi-modal regi...
with: Puybareau, E.: Why is the Winner the Best?
with: Radsch, T.: Why is the Winner the Best?
with: Rafael Patino, J.: Why is the Winner the Best?
with: Rajpoot, N.: Why is the Winner the Best?
with: Ramesh, S.: Weakly Supervised Temporal Convolutional Networks for Fine...
with: Reinke, A.: Why is the Winner the Best?
with: Ryu, K.: Why is the Winner the Best?
with: Saeed, N.: Why is the Winner the Best?
with: Shehata, S.: EndoNet: A Deep Architecture for Recognition Tasks on Lap...
with: Shephard, A.: Why is the Winner the Best?
with: Shi, P.: Why is the Winner the Best?
with: Speidel, S.: Why is the Winner the Best?
with: Stepec, D.: Why is the Winner the Best?
with: Subedi, R.: Why is the Winner the Best?
with: Sudre, C.H.: Why is the Winner the Best?
with: Tizabi, M.D.: Why is the Winner the Best?
with: Tochon, G.: Why is the Winner the Best?
with: Torres, H.R.: Why is the Winner the Best?
with: Twinanda, A.P.: EndoNet: A Deep Architecture for Recognition Tasks on ...
with: Twinanda, A.P.: RSDNet: Learning to Predict Remaining Surgery Duration...
with: Urien, H.: Why is the Winner the Best?
with: van Wijnen, K.: Why is the Winner the Best?
with: Vardazaryan, A.: Latent Graph Representations for Critical View of Saf...
with: Vilaca, J.L.: Why is the Winner the Best?
with: Wagner, M.: Why is the Winner the Best?
with: Wahid, K.A.: Why is the Winner the Best?
with: Wang, H.: Why is the Winner the Best?
with: Wang, J.: Why is the Winner the Best?
with: Wang, L.: Why is the Winner the Best?
with: Wang, X.: Why is the Winner the Best?
with: Wei, D.: Why is the Winner the Best?
with: Weinland, D.: Workflow monitoring based on 3D motion features
with: Weru, V.: Why is the Winner the Best?
with: Wiestler, B.: Why is the Winner the Best?
with: Wodzinski, M.: Why is the Winner the Best?
with: Xia, F.: Why is the Winner the Best?
with: Xie, J.: Why is the Winner the Best?
with: Xiong, Z.: Why is the Winner the Best?
with: Yamlahi, A.: Why is the Winner the Best?
with: Yang, S.: Why is the Winner the Best?
with: Yang, Y.: Why is the Winner the Best?
with: Yap, M.H.: Why is the Winner the Best?
with: Yengera, G.: Future-State Predicting LSTM for Early Surgery Type Recog...
with: Yengera, G.: RSDNet: Learning to Predict Remaining Surgery Duration fr...
with: Yu, T.: Encode the Unseen: Predictive Video Hashing for Scalable Mid-s...
with: Yu, T.: Weakly Supervised Temporal Convolutional Networks for Fine-Gra...
with: Yuan, C.: Why is the Winner the Best?
with: Zenk, M.: Why is the Winner the Best?
with: Zhao, Z.: Why is the Winner the Best?
with: Zia, A.: Why is the Winner the Best?
with: Zimmerer, D.: Why is the Winner the Best?
170 for Padoy, N.