Pirsch, P.
Standard Author Listing
with: Banz, C.: Evaluation of Penalty Functions for Semi-global Matching Cos...
with: Banz, C.: Real-time semi-global matching disparity estimation on the GPU
with: Berekovic, M.: Hibrid-SoC: a multi-core architecture for image and vid...
with: Berekovic, M.: Multicore system-on-chip architecture for MPEG-4 stream...
with: Blume, H.: Evaluation of Penalty Functions for Semi-global Matching Co...
with: Blume, H.: Real-time semi-global matching disparity estimation on the ...
with: Demassieux, N.: VLSI Architectures for Video Compression: A Survey
with: Flagel, S.: Hibrid-SoC: a multi-core architecture for image and video ...
with: Friebe, L.: Hibrid-SoC: a multi-core architecture for image and video ...
with: Gaedke, K.: Multiprocessor performance for real-time processing of vid...
with: Gehrke, W.: VLSI Architectures for Video Compression: A Survey
with: Grallet, H.J.: Advances in Picture Coding
with: Jeschke, H.: Multiprocessor performance for real-time processing of vi...
with: Kulaczewski, M.B.: Hibrid-SoC: a multi-core architecture for image and...
with: Moch, S.: Hibrid-SoC: a multi-core architecture for image and video ap...
with: Musmann, H.G.: Advances in Picture Coding
with: Netravali, A.N.: Transmission of Gray Level Images by Multilevel Dithe...
with: Stolberg, H.J.: Hibrid-SoC: a multi-core architecture for image and vi...
with: Stolberg, H.J.: Multicore system-on-chip architecture for MPEG-4 strea...
with: Stolberg, H.J.: VLSI Implementations of Image and Video Multimedia Pro...
20 for Pirsch, P.
Pirsiavash, H.
Standard Author Listing
with: Aggarwal, J.K.: large-scale benchmark dataset for event recognition in...
with: Aytar, Y.: Cross-Modal Scene Networks
with: Aytar, Y.: Learning Aligned Cross-Modal Representations from Weakly Al...
with: Castrejon, L.: Cross-Modal Scene Networks
with: Castrejon, L.: Learning Aligned Cross-Modal Representations from Weakl...
with: Chen, C.C.: large-scale benchmark dataset for event recognition in sur...
with: Cuntoor, N.: large-scale benchmark dataset for event recognition in su...
with: Davis, L.S.: large-scale benchmark dataset for event recognition in su...
with: Desai, M.: large-scale benchmark dataset for event recognition in surv...
with: Diba, A.: DeepCAMP: Deep Convolutional Action Attribute Mid-Level Patt...
with: Diba, A.: Weakly Supervised Cascaded Convolutional Networks
with: Favaro, P.: Boosting Self-Supervised Learning via Knowledge Transfer
with: Favaro, P.: Representation Learning by Learning to Count
with: Fong, A.: large-scale benchmark dataset for event recognition in surve...
with: Fowlkes, C.C.: Globally-optimal greedy algorithms for tracking a varia...
with: Hoogs, A.: large-scale benchmark dataset for event recognition in surv...
with: Ji, Q.A.: large-scale benchmark dataset for event recognition in surve...
with: Khosla, A.: HOGgles: Visualizing Object Detection Features
with: Khosla, A.: Visualizing Object Detection Features
with: KoseckZa, J.: Joint Semantic Segmentation and Depth Estimation with De...
with: Lazarov, M.: Data handling displays
with: Lee, H.T.: large-scale benchmark dataset for event recognition in surv...
with: Lee, J.T.: large-scale benchmark dataset for event recognition in surv...
with: Lim, J.J.: Parsing IKEA Objects: Fine Pose Estimation
with: Majumder, A.: Data handling displays
with: Malisiewicz, T.: HOGgles: Visualizing Object Detection Features
with: Malisiewicz, T.: Visualizing Object Detection Features
with: Mousavian, A.: Joint Semantic Segmentation and Depth Estimation with D...
with: Mukherjee, S.: large-scale benchmark dataset for event recognition in ...
with: Mukherjee, U.: Data handling displays
with: Negahdaripour, S.: 3-D Motion Estimation for Positioning from 2-D Acou...
with: Negahdaripour, S.: Integration of Motion Cues in Optical and Sonar Vid...
with: Negahdaripour, S.: Opti-Acoustic Stereo Imaging, System Calibration an...
with: Negahdaripour, S.: Opti-Acoustic Stereo Imaging: On System Calibration...
with: Noroozi, M.: Boosting Self-Supervised Learning via Knowledge Transfer
with: Noroozi, M.: Representation Learning by Learning to Count
with: Oh, S.M.: large-scale benchmark dataset for event recognition in surve...
with: Oktay, D.: Predicting Motivations of Actions by Leveraging Text
with: Pazandeh, A.: Weakly Supervised Cascaded Convolutional Networks
with: Pazandeh, A.M.: DeepCAMP: Deep Convolutional Action Attribute Mid-Leve...
with: Perera, A.: large-scale benchmark dataset for event recognition in sur...
with: Pillai, V.: Fooling Network Interpretation in Image Classification
with: Ramanan, D.: Detecting activities of daily living in first-person came...
with: Ramanan, D.: Globally-optimal greedy algorithms for tracking a variabl...
with: Ramanan, D.: large-scale benchmark dataset for event recognition in su...
with: Ramanan, D.: Parsing Videos of Actions with Segmental Grammars
with: Ramanan, D.: Steerable part models
with: Reddy, K.K.: large-scale benchmark dataset for event recognition in su...
with: Roy Chowdhury, A.: large-scale benchmark dataset for event recognition...
with: Sajadi, B.: Data handling displays
with: Sekkati, H.: 3-D Motion Estimation for Positioning from 2-D Acoustic V...
with: Sekkati, H.: Integration of Motion Cues in Optical and Sonar Videos fo...
with: Sekkati, H.: Opti-Acoustic Stereo Imaging, System Calibration and 3-D ...
with: Sekkati, H.: Opti-Acoustic Stereo Imaging: On System Calibration and 3...
with: Shah, M.: large-scale benchmark dataset for event recognition in surve...
with: Sharma, V.: Weakly Supervised Cascaded Convolutional Networks
with: Song, B.: large-scale benchmark dataset for event recognition in surve...
with: Subramanya, A.: Fooling Network Interpretation in Image Classification
with: Swears, E.: large-scale benchmark dataset for event recognition in sur...
with: Torralba, A.: HOGgles: Visualizing Object Detection Features
with: Torralba, A.: Predicting Motivations of Actions by Leveraging Text
with: Torralba, A.: Visualizing Object Detection Features
with: Torralba, A.B.: Anticipating Visual Representations from Unlabeled Video
with: Torralba, A.B.: Assessing the Quality of Actions
with: Torralba, A.B.: Cross-Modal Scene Networks
with: Torralba, A.B.: large-scale benchmark dataset for event recognition in...
with: Torralba, A.B.: Learning Aligned Cross-Modal Representations from Weak...
with: Torralba, A.B.: Parsing IKEA Objects: Fine Pose Estimation
with: Van Gool, L.J.: DeepCAMP: Deep Convolutional Action Attribute Mid-Leve...
with: Van Gool, L.J.: Weakly Supervised Cascaded Convolutional Networks
with: Vinjimoor, A.: Boosting Self-Supervised Learning via Knowledge Transfer
with: Vondrick, C.: Anticipating Visual Representations from Unlabeled Video
with: Vondrick, C.: Assessing the Quality of Actions
with: Vondrick, C.: Cross-Modal Scene Networks
with: Vondrick, C.: HOGgles: Visualizing Object Detection Features
with: Vondrick, C.: large-scale benchmark dataset for event recognition in s...
with: Vondrick, C.: Learning Aligned Cross-Modal Representations from Weakly...
with: Vondrick, C.: Predicting Motivations of Actions by Leveraging Text
with: Vondrick, C.: Visualizing Object Detection Features
with: Wang, X.Y.: large-scale benchmark dataset for event recognition in sur...
with: Yuen, J.: large-scale benchmark dataset for event recognition in surve...
104 for Pirsiavash, H.
Pirson, A.
Standard Author Listing
with: Bard, J.M.: Device for estimation of movement
with: Paul, P.: Device for estimation of movement
with: Yassa, F.: Device for estimation of movement