Vonder Haar, T.
Standard Author Listing
with: Azimi Sadjadi, M.R.: Neural Network-Based Cloud Classification on Sate...
with: Reinke, D.: Neural Network-Based Cloud Classification on Satellite Ima...
with: Tian, B.: Neural Network-Based Cloud Classification on Satellite Image...
Vonderach, C.
Standard Author Listing
with: Adler, P.: Voxel-based Approach For Estimating Urban Tree Volume From ...
with: Voegtle, T.: Voxel-based Approach For Estimating Urban Tree Volume Fro...
Vondra, M.
Standard Author Listing
with: Vich, R.: Evaluation of Speech Emotion Classification Based on GMM and...
Vondrak, M.
Standard Author Listing
with: Jenkins, O.C.: Dynamical Simulation Priors for Human Motion Tracking
with: Jenkins, O.C.: Physical simulation for probabilistic motion tracking
with: Sigal, L.: Dynamical Simulation Priors for Human Motion Tracking
with: Sigal, L.: Physical simulation for probabilistic motion tracking
Vondrakova, A.
Standard Author Listing
with: Barvir, R.: Efficient Interactive Tactile Maps: A Semi-Automated Workf...
with: Brus, J.: Efficient Interactive Tactile Maps: A Semi-Automated Workflo...
with: Hujnakova, P.: Eye-tracking Evaluation of Weather Web Maps
with: Popelka, S.: Eye-tracking Evaluation of Weather Web Maps
with: Vozenilek, V.: User Preferences In Image Map Using
Vondrick, C.
Standard Author Listing
with: Aggarwal, J.K.: large-scale benchmark dataset for event recognition in...
with: Akbari, H.: Multi-Level Multimodal Common Semantic Space for Image-Phr...
with: Andonian, A.: Moments in Time Dataset: One Million Videos for Event Un...
with: Andonian, A.: We Have So Much in Common: Modeling Semantic Relational ...
with: Aytar, Y.: Cross-Modal Scene Networks
with: Aytar, Y.: Learning Aligned Cross-Modal Representations from Weakly Al...
with: Bareinboim, E.: Causal Transportability for Visual Recognition
with: Bargal, S.A.: Moments in Time Dataset: One Million Videos for Event Un...
with: Bhargava, S.: Multi-Level Multimodal Common Semantic Space for Image-P...
with: Brown, L.: Moments in Time Dataset: One Million Videos for Event Under...
with: Castrejon, L.: Cross-Modal Scene Networks
with: Castrejon, L.: Learning Aligned Cross-Modal Representations from Weakl...
with: Cha, A.: Generative Interventions for Causal Learning
with: Chandratreya, I.P.: SurfsUp: Learning Fluid Simulation for Novel Surfa...
with: Chang, S.F.: Learning to Learn Words from Visual Scenes
with: Chang, S.F.: Multi-Level Multimodal Common Semantic Space for Image-Ph...
with: Chen, B.: Multi-Level Multimodal Common Semantic Space for Image-Phras...
with: Chen, B.: Oops! Predicting Unintentional Action in Video
with: Chen, C.C.: large-scale benchmark dataset for event recognition in sur...
with: Chiquier, M.: Adversarial Attacks are Reversible with Natural Supervis...
with: Chiquier, M.: Muscles in Action
with: Creager, E.: SurfsUp: Learning Fluid Simulation for Novel Surfaces
with: Cuntoor, N.: large-scale benchmark dataset for event recognition in su...
with: Damen, D.: UnweaveNet: Unweaving Activity Stories
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: Epstein, D.: Globetrotter: Connecting Languages by Connecting Images
with: Epstein, D.: Learning Goals from Failure
with: Epstein, D.: Learning to Learn Words from Visual Scenes
with: Epstein, D.: Oops! Predicting Unintentional Action in Video
with: Fan, Q.F.: Moments in Time Dataset: One Million Videos for Event Under...
with: Fathi, A.: Tracking Emerges by Colorizing Videos
with: Feris, R.S.: We Have So Much in Common: Modeling Semantic Relational S...
with: Fong, A.: large-scale benchmark dataset for event recognition in surve...
with: Fosco, C.: We Have So Much in Common: Modeling Semantic Relational Set...
with: Fowlkes, C.C.: Do We Need More Training Data or Better Models for Obje...
with: Fowlkes, C.C.: Do We Need More Training Data?
with: Gan, C.: Sound of Pixels, The
with: Gu, C.: AVA: A Video Dataset of Spatio-Temporally Localized Atomic Vis...
with: Guadarrama, S.: Tracking Emerges by Colorizing Videos
with: Gupta, A.: Generative Interventions for Causal Learning
with: Gupta, A.: Multitask Learning Strengthens Adversarial Robustness
with: Gutfreund, D.: Moments in Time Dataset: One Million Videos for Event U...
with: Hoogs, A.J.: large-scale benchmark dataset for event recognition in su...
with: Ji, H.: Learning to Learn Words from Visual Scenes
with: Ji, Q.A.: large-scale benchmark dataset for event recognition in surve...
with: Karaman, S.: Multi-Level Multimodal Common Semantic Space for Image-Ph...
with: Khosla, A.: Following Gaze in Video
with: Khosla, A.: HOGgles: Visualizing Object Detection Features
with: Khosla, A.: Visualizing Object Detection Features
with: Lee, A.: We Have So Much in Common: Modeling Semantic Relational Set A...
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: Li, J.: Tracking Through Containers and Occluders in the Wild
with: Li, Y.: AVA: A Video Dataset of Spatio-Temporally Localized Atomic Vis...
with: Liu, R.: Humans as Light Bulbs: 3D Human Reconstruction from Thermal R...
with: Liu, R.: Learning the Predictability of the Future
with: Liu, R.: What You Can Reconstruct from a Shadow
with: Liu, R.S.: Landscape Learning for Neural Network Inversion
with: Liu, R.S.: Zero-1-to-3: Zero-shot One Image to 3D Object
with: Malik, J.: AVA: A Video Dataset of Spatio-Temporally Localized Atomic ...
with: Malisiewicz, T.: HOGgles: Visualizing Object Detection Features
with: Malisiewicz, T.: Visualizing Object Detection Features
with: Mani, A.: SurfsUp: Learning Fluid Simulation for Novel Surfaces
with: Mao, C.Z.: Adversarial Attacks are Reversible with Natural Supervision
with: Mao, C.Z.: Causal Transportability for Visual Recognition
with: Mao, C.Z.: Doubly Right Object Recognition: A Why Prompt for Visual Ra...
with: Mao, C.Z.: Generative Interventions for Causal Learning
with: Mao, C.Z.: Landscape Learning for Neural Network Inversion
with: Mao, C.Z.: Multitask Learning Strengthens Adversarial Robustness
with: Mao, C.Z.: What You Can Reconstruct from a Shadow
with: McDermott, J.: Sound of Pixels, The
with: Menon, S.: Doubly Right Object Recognition: A Why Prompt for Visual Ra...
with: Menon, S.: ViperGPT: Visual Inference via Python Execution for Reasoning
with: Menon, S.: What You Can Reconstruct from a Shadow
with: Monfort, M.: Moments in Time Dataset: One Million Videos for Event Und...
with: Monfort, M.: We Have So Much in Common: Modeling Semantic Relational S...
with: Mukherjee, S.: large-scale benchmark dataset for event recognition in ...
with: Murphy, K.: Actor-Centric Relation Network
with: Murphy, K.: Relational Action Forecasting
with: Murphy, K.: Tracking Emerges by Colorizing Videos
with: Murphy, K.: VideoBERT: A Joint Model for Video and Language Representa...
with: Myers, A.: VideoBERT: A Joint Model for Video and Language Representat...
with: Nitin, V.: Multitask Learning Strengthens Adversarial Robustness
with: Oh, S.M.: large-scale benchmark dataset for event recognition in surve...
with: Oktay, D.: Predicting Motivations of Actions by Leveraging Text
with: Oliva, A.: Moments in Time Dataset: One Million Videos for Event Under...
with: Oliva, A.: We Have So Much in Common: Modeling Semantic Relational Set...
with: Pantofaru, C.: AVA: A Video Dataset of Spatio-Temporally Localized Ato...
with: Park, D.: Revealing Occlusions with 4D Neural Fields
with: Park, D.: What You Can Reconstruct from a Shadow
with: Patterson, D.: Efficiently Scaling up Crowdsourced Video Annotation
with: Patterson, D.: Efficiently Scaling Up Video Annotation with Crowdsourc...
with: Perera, A.: large-scale benchmark dataset for event recognition in sur...
with: Pirsiavash, H.: Anticipating Visual Representations from Unlabeled Video
with: Pirsiavash, H.: Assessing the Quality of Actions
with: Pirsiavash, H.: Cross-Modal Scene Networks
with: Pirsiavash, H.: HOGgles: Visualizing Object Detection Features
with: Pirsiavash, H.: large-scale benchmark dataset for event recognition in...
with: Pirsiavash, H.: Learning Aligned Cross-Modal Representations from Weak...
with: Pirsiavash, H.: Predicting Motivations of Actions by Leveraging Text
with: Pirsiavash, H.: Visualizing Object Detection Features
with: Price, W.: UnweaveNet: Unweaving Activity Stories
with: Ramakrishnan, K.: Moments in Time Dataset: One Million Videos for Even...
with: Ramanan, D.: Do We Need More Training Data or Better Models for Object...
with: Ramanan, D.: Do We Need More Training Data?
with: Ramanan, D.: Efficiently Scaling up Crowdsourced Video Annotation
with: Ramanan, D.: Efficiently Scaling Up Video Annotation with Crowdsourced...
with: Ramanan, D.: large-scale benchmark dataset for event recognition in su...
with: Ray, B.: Multitask Learning Strengthens Adversarial Robustness
with: Recasens, A.: Following Gaze in Video
with: Reddy, K.K.: large-scale benchmark dataset for event recognition in su...
with: Ricco, S.: AVA: A Video Dataset of Spatio-Temporally Localized Atomic ...
with: Ross, D.A.: AVA: A Video Dataset of Spatio-Temporally Localized Atomic...
with: Rouditchenko, A.: Sound of Pixels, The
with: Roy Chowdhury, A.K.: large-scale benchmark dataset for event recogniti...
with: Russell, B.: It's Time for Artistic Correspondence in Music and Video
with: Salamon, J.: It's Time for Artistic Correspondence in Music and Video
with: Schmid, C.: Actor-Centric Relation Network
with: Schmid, C.: AVA: A Video Dataset of Spatio-Temporally Localized Atomic...
with: Schmid, C.: Relational Action Forecasting
with: Schmid, C.: VideoBERT: A Joint Model for Video and Language Representa...
with: Shah, M.: large-scale benchmark dataset for event recognition in surve...
with: Shrivastava, A.: Actor-Centric Relation Network
with: Shrivastava, A.: Relational Action Forecasting
with: Shrivastava, A.: Tracking Emerges by Colorizing Videos
with: Song, B.: large-scale benchmark dataset for event recognition in surve...
with: Song, S.: Multitask Learning Strengthens Adversarial Robustness
with: Stent, S.: Revealing Occlusions with 4D Neural Fields
with: Stent, S.: Tracking Through Containers and Occluders in the Wild
with: Stent, S.: What You Can Reconstruct from a Shadow
with: Sukthankar, R.: Actor-Centric Relation Network
with: Sukthankar, R.: AVA: A Video Dataset of Spatio-Temporally Localized At...
with: Sukthankar, R.: Relational Action Forecasting
with: Sun, C.: Actor-Centric Relation Network
with: Sun, C.: AVA: A Video Dataset of Spatio-Temporally Localized Atomic Vi...
with: Sun, C.: Relational Action Forecasting
with: Sun, C.: VideoBERT: A Joint Model for Video and Language Representatio...
with: Sundar, A.: Doubly Right Object Recognition: A Why Prompt for Visual R...
with: Suris, D.: FLEX: Full-Body Grasping Without Full-Body Grasps
with: Suris, D.: Globetrotter: Connecting Languages by Connecting Images
with: Suris, D.: It's Time for Artistic Correspondence in Music and Video
with: Suris, D.: Learning the Predictability of the Future
with: Suris, D.: Learning to Learn Words from Visual Scenes
with: Suris, D.: Revealing Occlusions with 4D Neural Fields
with: Suris, D.: ViperGPT: Visual Inference via Python Execution for Reasoning
with: Swears, E.: large-scale benchmark dataset for event recognition in sur...
with: Tendulkar, P.: FLEX: Full-Body Grasping Without Full-Body Grasps
with: Tendulkar, P.: Landscape Learning for Neural Network Inversion
with: Tendulkar, P.: Revealing Occlusions with 4D Neural Fields
with: Teotia, R.: Doubly Right Object Recognition: A Why Prompt for Visual R...
with: Toderici, G.: AVA: A Video Dataset of Spatio-Temporally Localized Atom...
with: Tokmakov, P.: Tracking Through Containers and Occluders in the Wild
with: Tokmakov, P.: Zero-1-to-3: Zero-shot One Image to 3D Object
with: Torralba, A.: Following Gaze in Video
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.: Generating the Future with Adversarial Transformers
with: Torralba, A.B.: HOGgles: Visualizing Object Detection Features
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.: Predicting Motivations of Actions by Leveraging Text
with: Torralba, A.B.: Sound of Pixels, The
with: Torralba, A.B.: Visualizing Object Detection Features
with: van Hoorick, B.: Dissecting Image Crops
with: van Hoorick, B.: Revealing Occlusions with 4D Neural Fields
with: van Hoorick, B.: Tracking Through Containers and Occluders in the Wild
with: van Hoorick, B.: Zero-1-to-3: Zero-shot One Image to 3D Object
with: Vijayanarasimhan, S.: AVA: A Video Dataset of Spatio-Temporally Locali...
with: Wang, H.: Adversarial Attacks are Reversible with Natural Supervision
with: Wang, H.: Causal Transportability for Visual Recognition
with: Wang, H.: Generative Interventions for Causal Learning
with: Wang, H.: Landscape Learning for Neural Network Inversion
with: Wang, J.: Causal Transportability for Visual Recognition
with: Wang, X.: Doubly Right Object Recognition: A Why Prompt for Visual Rat...
with: Wang, X.Y.: large-scale benchmark dataset for event recognition in sur...
with: Wu, R.: Zero-1-to-3: Zero-shot One Image to 3D Object
with: Xia, K.: Causal Transportability for Visual Recognition
with: Yan, T.: Moments in Time Dataset: One Million Videos for Event Underst...
with: Yang, J.F.: Adversarial Attacks are Reversible with Natural Supervision
with: Yang, J.F.: Causal Transportability for Visual Recognition
with: Yang, J.F.: Doubly Right Object Recognition: A Why Prompt for Visual R...
with: Yang, J.F.: Generative Interventions for Causal Learning
with: Yang, J.F.: Multitask Learning Strengthens Adversarial Robustness
with: Yuen, J.: large-scale benchmark dataset for event recognition in surve...
with: Zakharov, S.: Zero-1-to-3: Zero-shot One Image to 3D Object
with: Zemel, R.: SurfsUp: Learning Fluid Simulation for Novel Surfaces
with: Zhao, H.: Sound of Pixels, The
with: Zhou, B.L.: Moments in Time Dataset: One Million Videos for Event Unde...
with: Zhu, X.X.: Do We Need More Training Data or Better Models for Object D...
with: Zhu, X.X.: Do We Need More Training Data?
215 for Vondrick, C.
Vondrovec, K.
Standard Author Listing
with: Anwar, H.: Ancient Coin Classification Using Reverse Motif Recognition...
with: Kampel, M.: Ancient Coin Classification Using Reverse Motif Recognitio...
with: Kampel, M.: Ilac-Project: Supporting Ancient Coin Classification by Me...
with: Kavelar, A.: Ilac-Project: Supporting Ancient Coin Classification by M...
with: Siegl, K.: Ilac-Project: Supporting Ancient Coin Classification by Mea...
with: Zambanini, S.: Ancient Coin Classification Using Reverse Motif Recogni...
with: Zambanini, S.: Ilac-Project: Supporting Ancient Coin Classification by...
7 for Vondrovec, K.