Belo, D.
Standard Author Listing
with: Coito, A.L.: Topographic EEG Brain Mapping before, during and after Ob...
with: Paiva, T.: Topographic EEG Brain Mapping before, during and after Obst...
with: Sanches, J.M.: Topographic EEG Brain Mapping before, during and after ...
Belo, J.
Standard Author Listing
with: Catalao, J.: Using Sentinel-2 Images to Estimate Topography, Tidal-Sta...
with: Catry, T.: Using Sentinel-2 Images to Estimate Topography, Tidal-Stage...
with: Granadeiro, J.P.: Using Sentinel-2 Images to Estimate Topography, Tida...
with: Henriques, M.: Using Sentinel-2 Images to Estimate Topography, Tidal-S...
Belo, J.C.R.
Standard Author Listing
with: Bonnet, M.P.: Water Resources Monitoring in a Remote Region: Earth Obs...
with: Cicerelli, R.E.: Water Resources Monitoring in a Remote Region: Earth ...
with: Curto, J.: Water Resources Monitoring in a Remote Region: Earth Observ...
with: de Almeida, T.: Water Resources Monitoring in a Remote Region: Earth O...
with: Garnier, J.: Water Resources Monitoring in a Remote Region: Earth Obse...
with: Ramos, A.P.M.: Water Resources Monitoring in a Remote Region: Earth Ob...
with: Satge, F.: Water Resources Monitoring in a Remote Region: Earth Observ...
with: Valadao, L.V.: Water Resources Monitoring in a Remote Region: Earth Ob...
8 for Belo, J.C.R.
Belo, J.R.
Standard Author Listing
with: Catry, T.: Combining Multispectral and Radar Imagery with Machine Lear...
with: Granadeiro, J.P.: Combining Multispectral and Radar Imagery with Machi...
with: Henriques, M.: Combining Multispectral and Radar Imagery with Machine ...
with: Piersma, T.: Combining Multispectral and Radar Imagery with Machine Le...
with: Pontes, S.: Combining Multispectral and Radar Imagery with Machine Lea...
Belo, R.
Standard Author Listing
with: Pedrosa, J.: Leveraging Longitudinal Data for Cardiomegaly and Change ...
with: Rocha, J.: Leveraging Longitudinal Data for Cardiomegaly and Change De...
Beloborodov, D.
Standard Author Listing
with: Mestetskiy, L.: Foreground Detection On Depth Maps Using Skeletal Repr...
Beloborodov, D.E.
Standard Author Listing
with: Florinsky, I.V.: Mud Volcanism at the Taman Peninsula: Multiscale Anal...
with: Gaydalenok, O.V.: Mud Volcanism at the Taman Peninsula: Multiscale Ana...
with: Skrypitsyna, T.N.: Mud Volcanism at the Taman Peninsula: Multiscale An...
Beloglazov, I.N.
Standard Author Listing
with: Kazarin, S.N.: Stereoscopic Navigation System, A
Beloiu, M.
Standard Author Listing
with: Gessler, A.: Individual Tree-Crown Detection and Species Identificatio...
with: Griess, V.C.: Individual Tree-Crown Detection and Species Identificati...
with: Heinzmann, L.: Individual Tree-Crown Detection and Species Identificat...
with: Rehush, N.: Individual Tree-Crown Detection and Species Identification...
Belokonov, I.V.
Standard Author Listing
with: Simakov, S.P.: Cubesat Onboard Algorithm for Space Debris Motion Deter...
Belongie, S.
Standard Author Listing
with: Adam, H.: Exploring Fine-Grained Audiovisual Categorization with the S...
with: Adam, H.: Fashionpedia: Ontology, Segmentation, and an Attribute Local...
with: Adam, H.: iMaterialist Fashion Attribute Dataset, The
with: Adam, H.: iNaturalist Species Classification and Detection Dataset, The
with: Agarwal, S.: On the non-optimality of four color coding of image parti...
with: Agarwal, S.: What went where
with: An, Z.C.: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
with: Aodha, O.M.: Exploring Fine-Grained Audiovisual Categorization with th...
with: Aodha, O.M.: Fine-Grained Image Analysis with Deep Learning: A Survey
with: Aodha, O.M.: From Coarse to Fine-Grained Open-Set Recognition
with: Aodha, O.M.: iNaturalist Species Classification and Detection Dataset,...
with: Aodha, O.M.: Labeled Data Selection for Category Discovery
with: Aodha, O.M.: On Label Granularity and Object Localization
with: Aodha, O.M.: When Does Contrastive Visual Representation Learning Work?
with: Averbuch Elor, H.: DualSDF: Semantic Shape Manipulation Using a Two-Le...
with: Averbuch Elor, H.: Learning Gradient Fields for Shape Generation
with: Bai, S.: Occluded Video Instance Segmentation: A Benchmark
with: Bai, S.: OVIS: Occluded Video Instance Segmentation
with: Bai, X.: Detecting Oriented Text in Natural Images by Linking Segments
with: Bai, X.: DOTA: A Large-Scale Dataset for Object Detection in Aerial Im...
with: Bai, X.: ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)
with: Bai, X.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Bai, X.: Object Detection in Aerial Images: A Large-Scale Benchmark an...
with: Bai, X.: Occluded Video Instance Segmentation: A Benchmark
with: Bai, X.: OVIS: Occluded Video Instance Segmentation
with: Bala, K.: Learning Visual Clothing Style with Heterogeneous Dyadic Co-...
with: Bao, Q.Y.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Beery, S.: Benchmarking Representation Learning for Natural World Imag...
with: Bell, S.: Learning Visual Clothing Style with Heterogeneous Dyadic Co-...
with: Benaim, S.: Assessing Neural Network Robustness via Adversarial Pivota...
with: Benaim, S.: Discriminative Class Tokens for Text-to-Image Diffusion Mo...
with: Benaim, S.: Text-driven Stylization of Video Objects
with: Benaim, S.: Volumetric Disentanglement for 3D Scene Manipulation
with: Branson, S.: Lean Multiclass Crowdsourcing
with: Bregler, C.: Finding Objects in Image Databases by Grouping
with: Bregler, C.: Finding Pictures of Objects in Large Collections of Images
with: Bu, Y.J.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Cai, R.J.: Learning Gradient Fields for Shape Generation
with: Campbell, M.: End-to-End Pseudo-LiDAR for Image-Based 3D Object Detect...
with: Cardie, C.: Exploring Visual Engagement Signals for Representation Lea...
with: Cardie, C.: Fashionpedia: Ontology, Segmentation, and an Attribute Loc...
with: Cardie, C.: Intentonomy: a Dataset and Study towards Human Intent Unde...
with: Cardie, C.: Visual Prompt Tuning
with: Carson, C.: Finding Objects in Image Databases by Grouping
with: Carson, C.: Finding Pictures of Objects in Large Collections of Images
with: Chao, W.: End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
with: Chefer, H.: Discriminative Class Tokens for Text-to-Image Diffusion Mo...
with: Chen, B.C.: Visual Prompt Tuning
with: Cheng, J.C.: Transfer learning in computer vision tasks: Remember wher...
with: Christensen, P.E.: Assessing Neural Network Robustness via Adversarial...
with: Christensen, P.E.: Volumetric Disentanglement for 3D Scene Manipulation
with: Cole, E.: Benchmarking Representation Learning for Natural World Image...
with: Cole, E.: From Coarse to Fine-Grained Open-Set Recognition
with: Cole, E.: On Label Granularity and Object Localization
with: Cole, E.: When Does Contrastive Visual Representation Learning Work?
with: Collomosse, J.P.: BAM! The Behance Artistic Media Dataset for Recognit...
with: Cui, Y.: Class-Balanced Loss Based on Effective Number of Samples
with: Cui, Y.: Fashionpedia: Ontology, Segmentation, and an Attribute Locali...
with: Cui, Y.: iMaterialist Fashion Attribute Dataset, The
with: Cui, Y.: iNaturalist Species Classification and Detection Dataset, The
with: Cui, Y.: Large Scale Fine-Grained Categorization and Domain-Specific T...
with: Cui, Y.: Learning deep representations for ground-to-aerial geolocaliz...
with: Cui, Y.: Learning Single-View 3D Reconstruction with Limited Pose Supe...
with: Cui, Y.: Learning to Evaluate Image Captioning
with: Cui, Y.: Sitta: Single Image Texture Translation for Data Augmentation
with: Cui, Y.: Spatiotemporal Contrastive Video Representation Learning
with: Cui, Y.: Transfer learning in computer vision tasks: Remember where yo...
with: Datcu, M.: DOTA: A Large-Scale Dataset for Object Detection in Aerial ...
with: Datcu, M.: ICPR2018 Contest on Object Detection in Aerial Images (ODAI...
with: Datcu, M.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Datcu, M.: Object Detection in Aerial Images: A Large-Scale Benchmark ...
with: Davis, A.: Neural Image Recolorization for Creative Domains
with: Davoine, F.: Transfer learning in computer vision tasks: Remember wher...
with: Ding, J.: DOTA: A Large-Scale Dataset for Object Detection in Aerial I...
with: Ding, J.: ICPR2018 Contest on Object Detection in Aerial Images (ODAI-...
with: Ding, J.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Ding, J.: Object Detection in Aerial Images: A Large-Scale Benchmark a...
with: Dittadi, A.: Assessing Neural Network Robustness via Adversarial Pivot...
with: Dollar, P.: Feature Pyramid Networks for Object Detection
with: Dong, Z.J.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Fang, C.: BAM! The Behance Artistic Media Dataset for Recognition Beyo...
with: Fang, Q.: Deep Fundamental Matrix Estimation Without Correspondences
with: Fleck, M.M.: Finding Objects in Image Databases by Grouping
with: Fleck, M.M.: Finding Pictures of Objects in Large Collections of Images
with: Fornoni, M.: On Label Granularity and Object Localization
with: Forsyth, D.A.: Finding Objects in Image Databases by Grouping
with: Forsyth, D.A.: Finding Pictures of Objects in Large Collections of Ima...
with: Fu, J.L.: Guest Editorial: Introduction to the Special Section on Fine...
with: Gao, B.: Generative Adversarial Perturbations
with: Gao, Y.: Occluded Video Instance Segmentation: A Benchmark
with: Gao, Y.: OVIS: Occluded Video Instance Segmentation
with: Gao, Z.H.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Garg, D.: End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
with: Girshick, R.: Feature Pyramid Networks for Object Detection
with: Gong, B.Q.: Spatiotemporal Contrastive Video Representation Learning
with: Goodman, R.: Rotation invariant texture recognition using a steerable ...
with: Grandvalet, Y.: Transfer learning in computer vision tasks: Remember w...
with: Greenspan, H.: Finding Objects in Image Databases by Grouping
with: Greenspan, H.: Finding Pictures of Objects in Large Collections of Ima...
with: Greenspan, H.: Rotation invariant texture recognition using a steerabl...
with: Gu, Z.: Enhancing Adversarial Example Transferability With an Intermed...
with: Guo, S.: iMaterialist Fashion Attribute Dataset, The
with: Han, J.M.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Hao, Z.: PointFlow: 3D Point Cloud Generation With Continuous Normaliz...
with: Hao, Z.K.: Controllable Video Generation with Sparse Trajectories
with: Hao, Z.K.: DualSDF: Semantic Shape Manipulation Using a Two-Level Repr...
with: Hao, Z.K.: GANcraft: Unsupervised 3D Neural Rendering of Minecraft Wor...
with: Hao, Z.K.: Learning Gradient Fields for Shape Generation
with: Haraldsson, H.: Stay Positive: Non-Negative Image Synthesis for Augmen...
with: Hariharan, B.: Deep Fundamental Matrix Estimation Without Corresponden...
with: Hariharan, B.: End-to-End Pseudo-LiDAR for Image-Based 3D Object Detec...
with: Hariharan, B.: Fashionpedia: Ontology, Segmentation, and an Attribute ...
with: Hariharan, B.: Feature Pyramid Networks for Object Detection
with: Hariharan, B.: Learning Gradient Fields for Shape Generation
with: Hariharan, B.: Learning Single-View 3D Reconstruction with Limited Pos...
with: Hariharan, B.: PointFlow: 3D Point Cloud Generation With Continuous No...
with: Hariharan, B.: Stay Positive: Non-Negative Image Synthesis for Augment...
with: Hariharan, B.: Visual Prompt Tuning
with: Hays, J.: Learning deep representations for ground-to-aerial geolocali...
with: He, H.: Enhancing Adversarial Example Transferability With an Intermed...
with: He, K.M.: Feature Pyramid Networks for Object Detection
with: Hertzmann, A.: BAM! The Behance Artistic Media Dataset for Recognition...
with: Hong, H.: Understanding Image Quality and Trust in Peer-to-Peer Market...
with: Horn, G.V.: iNaturalist Species Classification and Detection Dataset, ...
with: Horn, G.V.: Lean Multiclass Crowdsourcing
with: Horn, G.V.: On Label Granularity and Object Localization
with: Howard, A.: Large Scale Fine-Grained Categorization and Domain-Specifi...
with: Howard, A.: On Label Granularity and Object Localization
with: Hu, K.X.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Hu, Y.: Occluded Video Instance Segmentation: A Benchmark
with: Hu, Y.: OVIS: Occluded Video Instance Segmentation
with: Huang, Q.: Enhancing Adversarial Example Transferability With an Inter...
with: Huang, W.: iMaterialist Fashion Attribute Dataset, The
with: Huang, X.: Controllable Video Generation with Sparse Trajectories
with: Huang, X.: Learning to Evaluate Image Captioning
with: Huang, X.: Multimodal Unsupervised Image-to-Image Translation
with: Huang, X.: PointFlow: 3D Point Cloud Generation With Continuous Normal...
with: Hui, Y.M.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Igel, C.: From Coarse to Fine-Grained Open-Set Recognition
with: Igel, C.: MMEARTH: Exploring Multi-modal Pretext Tasks for Geospatial ...
with: Jia, M.L.: Class-Balanced Loss Based on Effective Number of Samples
with: Jia, M.L.: Exploring Visual Engagement Signals for Representation Lear...
with: Jia, M.L.: Fashionpedia: Ontology, Segmentation, and an Attribute Loca...
with: Jia, M.L.: Intentonomy: a Dataset and Study towards Human Intent Under...
with: Jia, M.L.: Visual Prompt Tuning
with: Jiang, H.Q.: Deep Fundamental Matrix Estimation Without Correspondences
with: Jiang, T.X.: Robustness and Generalization via Generative Adversarial ...
with: Jiao, L.C.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Jin, H.: BAM! The Behance Artistic Media Dataset for Recognition Beyon...
with: Karaletsos, T.: Conditional Similarity Networks
with: Kariryaa, A.: MMEARTH: Exploring Multi-modal Pretext Tasks for Geospat...
with: Katsman, I.: Enhancing Adversarial Example Transferability With an Int...
with: Katsman, I.: Generative Adversarial Perturbations
with: Kautz, J.: Multimodal Unsupervised Image-to-Image Translation
with: Kim, V.G.: Neural Puppet: Generative Layered Cartoon Characters
with: Kovacs, B.: Learning Visual Clothing Style with Heterogeneous Dyadic C...
with: Lang, N.: From Coarse to Fine-Grained Open-Set Recognition
with: Lang, N.: Labeled Data Selection for Category Discovery
with: Lang, N.: MMEARTH: Exploring Multi-modal Pretext Tasks for Geospatial ...
with: Leung, T.: Finding Objects in Image Databases by Grouping
with: Leung, T.: Finding Pictures of Objects in Large Collections of Images
with: Li, B.: Neural Image Recolorization for Creative Domains
with: Li, B.: On Feature Normalization and Data Augmentation
with: Li, B.: Sitta: Single Image Texture Translation for Data Augmentation
with: Li, S.Y.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Li, W.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Li, X.H.: Transfer learning in computer vision tasks: Remember where y...
with: Li, Y.: iMaterialist Fashion Attribute Dataset, The
with: Lim, S.: Enhancing Adversarial Example Transferability With an Interme...
with: Lim, S.N.: Exploring Visual Engagement Signals for Representation Lear...
with: Lim, S.N.: Intentonomy: a Dataset and Study towards Human Intent Under...
with: Lim, S.N.: Metric Learning Reality Check, A
with: Lim, S.N.: Neural Image Recolorization for Creative Domains
with: Lim, S.N.: On Feature Normalization and Data Augmentation
with: Lim, S.N.: Robustness and Generalization via Generative Adversarial Tr...
with: Lim, S.N.: Visual Prompt Tuning
with: Lin, T.Y.: Class-Balanced Loss Based on Effective Number of Samples
with: Lin, T.Y.: Feature Pyramid Networks for Object Detection
with: Lin, T.Y.: Learning deep representations for ground-to-aerial geolocal...
with: Lin, T.Y.: Sitta: Single Image Texture Translation for Data Augmentation
with: Lipton, Z.: Context Matters: Refining Object Detection in Video with R...
with: Liu, F.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Liu, F.: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
with: Liu, M.: PointFlow: 3D Point Cloud Generation With Continuous Normaliz...
with: Liu, M.Y.: GANcraft: Unsupervised 3D Neural Rendering of Minecraft Wor...
with: Liu, M.Y.: Multimodal Unsupervised Image-to-Image Translation
with: Liu, S.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Liu, X.Y.: Occluded Video Instance Segmentation: A Benchmark
with: Liu, X.Y.: OVIS: Occluded Video Instance Segmentation
with: Liu, Y.: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
with: Loarie, S.: Lean Multiclass Crowdsourcing
with: Loeschcke, S.: Text-driven Stylization of Video Objects
with: Luo, J.: ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)
with: Luo, J.B.: DOTA: A Large-Scale Dataset for Object Detection in Aerial ...
with: Luo, J.B.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Luo, J.B.: Object Detection in Aerial Images: A Large-Scale Benchmark ...
with: Luo, K.: Stay Positive: Non-Negative Image Synthesis for Augmented Rea...
with: Ma, T.Z.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Ma, X.: Understanding Image Quality and Trust in Peer-to-Peer Marketpl...
with: MacAodha, O.: Benchmarking Representation Learning for Natural World I...
with: Malik, J.: Finding Objects in Image Databases by Grouping
with: Malik, J.: Finding Pictures of Objects in Large Collections of Images
with: Mallya, A.: GANcraft: Unsupervised 3D Neural Rendering of Minecraft Wo...
with: Matera, T.: Vision-based real estate price estimation
with: McAuley, J.: Learning Visual Clothing Style with Heterogeneous Dyadic ...
with: Meng, C.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Meng, T.J.: Spatiotemporal Contrastive Video Representation Learning
with: Mezghani, L.: Understanding Image Quality and Trust in Peer-to-Peer Ma...
with: Musgrave, K.: Metric Learning Reality Check, A
with: Naaman, M.: Understanding Image Quality and Trust in Peer-to-Peer Mark...
with: Nedungadi, V.: MMEARTH: Exploring Multi-modal Pretext Tasks for Geospa...
with: Nguyen, T.: Context Matters: Refining Object Detection in Video with R...
with: Nickel, M.: Separating Self-Expression and Visual Content in Hashtag S...
with: Oehmcke, S.: MMEARTH: Exploring Multi-modal Pretext Tasks for Geospati...
with: Pelillo, M.: DOTA: A Large-Scale Dataset for Object Detection in Aeria...
with: Pelillo, M.: ICPR2018 Contest on Object Detection in Aerial Images (OD...
with: Pelillo, M.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Pelillo, M.: Object Detection in Aerial Images: A Large-Scale Benchmar...
with: Peng, Y.X.: Fine-Grained Image Analysis with Deep Learning: A Survey
with: Perona, P.: iNaturalist Species Classification and Detection Dataset, ...
with: Perona, P.: Lean Multiclass Crowdsourcing
with: Perona, P.: On Label Granularity and Object Localization
with: Perona, P.: Rotation invariant texture recognition using a steerable p...
with: Perona, P.: Visipedia circa 2015
with: Piramuthu, R.: Understanding Image Quality and Trust in Peer-to-Peer M...
with: Poursaeed, O.: Deep Fundamental Matrix Estimation Without Corresponden...
with: Poursaeed, O.: Generative Adversarial Perturbations
with: Poursaeed, O.: Neural Puppet: Generative Layered Cartoon Characters
with: Poursaeed, O.: Robustness and Generalization via Generative Adversaria...
with: Poursaeed, O.: Vision-based real estate price estimation
with: Prakash, A.: Deep Fundamental Matrix Estimation Without Correspondences
with: Qi, J.Y.: Occluded Video Instance Segmentation: A Benchmark
with: Qi, J.Y.: OVIS: Occluded Video Instance Segmentation
with: Qian, M.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Qian, R.: End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
with: Qian, R.: Exploring Fine-Grained Audiovisual Categorization with the S...
with: Qian, R.: Spatiotemporal Contrastive Video Representation Learning
with: Rabaud, V.: Big Little Icons
with: Reiter, A.: Exploring Visual Engagement Signals for Representation Lea...
with: Reiter, A.: Intentonomy: a Dataset and Study towards Human Intent Unde...
with: Saito, J.: Neural Puppet: Generative Layered Cartoon Characters
with: Schwartz, I.: Discriminative Class Tokens for Text-to-Image Diffusion ...
with: Scott, M.R.: iMaterialist Fashion Attribute Dataset, The
with: Sebe, N.: Guest Editorial: Introduction to the Special Section on Fine...
with: Shechtman, E.: Neural Puppet: Generative Layered Cartoon Characters
with: Shepard, A.: iNaturalist Species Classification and Detection Dataset,...
with: Shi, B.: Detecting Oriented Text in Natural Images by Linking Segments
with: Shi, M.Y.: Fashionpedia: Ontology, Segmentation, and an Attribute Loca...
with: Sirotenko, M.: Fashionpedia: Ontology, Segmentation, and an Attribute ...
with: Snavely, N.: DualSDF: Semantic Shape Manipulation Using a Two-Level Re...
with: Snavely, N.: Learning Gradient Fields for Shape Generation
with: Snæbjarnarson, V.: Assessing Neural Network Robustness via Adversarial...
with: Snæbjarnarson, V.: Discriminative Class Tokens for Text-to-Image Diffu...
with: Snæbjarnarson, V.: From Coarse to Fine-Grained Open-Set Recognition
with: Song, Y.: Class-Balanced Loss Based on Effective Number of Samples
with: Song, Y.: iNaturalist Species Classification and Detection Dataset, The
with: Song, Y.: Large Scale Fine-Grained Categorization and Domain-Specific ...
with: Song, Y.Z.: Fine-Grained Image Analysis with Deep Learning: A Survey
with: Srikhanta, P.: iMaterialist Fashion Attribute Dataset, The
with: Sun, C.: iNaturalist Species Classification and Detection Dataset, The
with: Sun, C.: Large Scale Fine-Grained Categorization and Domain-Specific T...
with: Sun, G.: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
with: Tan, W.M.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Tang, J.H.: Fine-Grained Image Analysis with Deep Learning: A Survey
with: Tang, L.: Visual Prompt Tuning
with: Torr, P.H.S.: Occluded Video Instance Segmentation: A Benchmark
with: Torr, P.H.S.: OVIS: Occluded Video Instance Segmentation
with: Tripathi, S.: Context Matters: Refining Object Detection in Video with...
with: Tsai, Y.H.: Transfer learning in computer vision tasks: Remember where...
with: Tu, Z.W.: Guest Editorial: Introduction to the Special Section on Fine...
with: van der Maaten, L.: Separating Self-Expression and Visual Content in H...
with: Van Gool, L.J.: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
with: van Horn, G.: Benchmarking Representation Learning for Natural World I...
with: van Horn, G.: Exploring Fine-Grained Audiovisual Categorization with t...
with: Veit, A.: Conditional Similarity Networks
with: Veit, A.: Convolutional Networks with Adaptive Inference Graphs
with: Veit, A.: Learning to Evaluate Image Captioning
with: Veit, A.: Learning Visual Clothing Style with Heterogeneous Dyadic Co-...
with: Veit, A.: Separating Self-Expression and Visual Content in Hashtag Sup...
with: Wang, D.: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
with: Wang, H.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Wang, H.: Spatiotemporal Contrastive Video Representation Learning
with: Wang, J.D.: Guest Editorial: Introduction to the Special Section on Fi...
with: Wang, J.H.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Wang, L.Q.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Wang, X.G.: Occluded Video Instance Segmentation: A Benchmark
with: Wang, X.G.: OVIS: Occluded Video Instance Segmentation
with: Wang, Y.: End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
with: Warburg, F.: Volumetric Disentanglement for 3D Scene Manipulation
with: Wei, X.S.: Fine-Grained Image Analysis with Deep Learning: A Survey
with: Weinberger, K.Q.: End-to-End Pseudo-LiDAR for Image-Based 3D Object De...
with: Weinberger, K.Q.: On Feature Normalization and Data Augmentation
with: Wilber, K.: Benchmarking Representation Learning for Natural World Ima...
with: Wilber, K.: Exploring Fine-Grained Audiovisual Categorization with the...
with: Wilber, K.: On Label Granularity and Object Localization
with: Wilber, K.: Understanding Image Quality and Trust in Peer-to-Peer Mark...
with: Wilber, K.: When Does Contrastive Visual Representation Learning Work?
with: Wilber, M.J.: BAM! The Behance Artistic Media Dataset for Recognition ...
with: Wills, J.: What went where
with: Wolf, L.: Discriminative Class Tokens for Text-to-Image Diffusion Models
with: Wu, F.: On Feature Normalization and Data Augmentation
with: Wu, J.X.: Fine-Grained Image Analysis with Deep Learning: A Survey
with: Wu, Z.: Exploring Visual Engagement Signals for Representation Learning
with: Wu, Z.W.: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
with: Wu, Z.X.: Intentonomy: a Dataset and Study towards Human Intent Unders...
with: Xia, G.: ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)
with: Xia, G.S.: DOTA: A Large-Scale Dataset for Object Detection in Aerial ...
with: Xia, G.S.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Xia, G.S.: Object Detection in Aerial Images: A Large-Scale Benchmark ...
with: Xian, W.Q.: Stay Positive: Non-Negative Image Synthesis for Augmented ...
with: Xue, N.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Xue, N.: Object Detection in Aerial Images: A Large-Scale Benchmark an...
with: Yang, G.: Deep Fundamental Matrix Estimation Without Correspondences
with: Yang, G.: Learning Gradient Fields for Shape Generation
with: Yang, G.: Learning Single-View 3D Reconstruction with Limited Pose Sup...
with: Yang, G.: Learning to Evaluate Image Captioning
with: Yang, G.: PointFlow: 3D Point Cloud Generation With Continuous Normali...
with: Yang, G.D.: Stay Positive: Non-Negative Image Synthesis for Augmented ...
with: Yang, H.: Robustness and Generalization via Generative Adversarial Tra...
with: Yang, J.: Fine-Grained Image Analysis with Deep Learning: A Survey
with: Yang, M.H.: Spatiotemporal Contrastive Video Representation Learning
with: Yang, M.H.: Transfer learning in computer vision tasks: Remember where...
with: Yang, M.Y.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Yang, M.Y.: Object Detection in Aerial Images: A Large-Scale Benchmark...
with: Yang, W.: Object Detection in Aerial Images: A Large-Scale Benchmark a...
with: Yang, X.: On Label Granularity and Object Localization
with: Yang, X.: When Does Contrastive Visual Representation Learning Work?
with: Yang, Z.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: You, Y.: End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
with: Yu, C.H.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Yuille, A.L.: Occluded Video Instance Segmentation: A Benchmark
with: Yuille, A.L.: OVIS: Occluded Video Instance Segmentation
with: Zhang, H.: Transfer learning in computer vision tasks: Remember where ...
with: Zhang, J.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Zhang, L.: ICPR2018 Contest on Object Detection in Aerial Images (ODAI...
with: Zhang, L.P.: DOTA: A Large-Scale Dataset for Object Detection in Aeria...
with: Zhang, L.P.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Zhang, L.P.: Object Detection in Aerial Images: A Large-Scale Benchmar...
with: Zhang, X.: iMaterialist Fashion Attribute Dataset, The
with: Zhang, Z.X.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Zhao, B.C.: Labeled Data Selection for Category Discovery
with: Zhao, J.X.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Zhou, Q.: LUAI Challenge 2021 on Learning to Understand Aerial Images
with: Zhu, Z.: DOTA: A Large-Scale Dataset for Object Detection in Aerial Im...
with: Zhu, Z.: ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)
with: Zuo, Y.: LUAI Challenge 2021 on Learning to Understand Aerial Images
347 for Belongie, S.
Belongie, S.J.
Standard Author Listing
with: Agarwal, S.: Beyond Pairwise Clustering
with: Agarwal, S.: Feature-based Approach for Dense Segmentation and Estimat...
with: Agarwal, S.: Globally Optimal Affine and Metric Upgrades in Stratified...
with: Agarwal, S.: Globally Optimal Algorithms for Stratified Autocalibration
with: Agarwal, S.: On Refractive Optical Flow
with: Agarwal, S.: Practical Global Optimization for Multiview Geometry
with: Agarwal, S.: Structure and View Estimation for Tomographic Reconstruct...
with: Agarwal, S.: Vision in the Small: Reconstructing the Structure of Prot...
with: Alldrin, N.: Learning from Noisy Large-Scale Datasets with Minimal Sup...
with: Altwaijry, H.: Learning to Detect and Match Keypoints with Deep Archit...
with: Altwaijry, H.: Learning to Match Aerial Images with Deep Attentive Arc...
with: Altwaijry, H.: Recognizing locations with Google Glass: A case study
with: Altwaijry, H.: Relative ranking of facial attractiveness
with: Altwaijry, H.: Ultra-wide Baseline Aerial Imagery Matching in Urban En...
with: Anderson, C.: Overcomplete Steerable Pyramid Filters and Rotation Inva...
with: Appel, R.: Fast Feature Pyramids for Object Detection
with: Azagra, P.: Experiments on an RGB-D Wearable Vision System for Egocent...
with: Babenko, B.: End-to-end scene text recognition
with: Babenko, B.: family of online boosting algorithms, A
with: Babenko, B.: Improving Web-Based Image Search via Content Based Cluste...
with: Babenko, B.: Multiple Component Learning for Object Detection
with: Babenko, B.: Robust Object Tracking with Online Multiple Instance Lear...
with: Babenko, B.: Similarity metrics for categorization: From monolithic to...
with: Babenko, B.: Simultaneous Learning and Alignmennt: Multi-Instance and ...
with: Babenko, B.: Task Specific Local Region Matching
with: Babenko, B.: Visual Recognition with Humans in the Loop
with: Babenko, B.: Visual tracking with online Multiple Instance Learning
with: Babenko, B.: Weakly Supervised Object Localization with Stable Segment...
with: Barngrover, C.: JBoost Optimization of Color Detectors for Autonomous ...
with: Barry, J.: Building a bird recognition app and large scale dataset wit...
with: Beijbom, O.: Efficient Large-Scale Structured Learning
with: Belhumeur, P.: From Bikers to Surfers: Visual Recognition of Urban Tri...
with: Ben Haim, N.: Improving Web-Based Image Search via Content Based Clust...
with: Bjorn, V.C.: Fingerprint recognition system
with: Bourdev, L.: Urban tribes: Analyzing group photos from a social perspe...
with: Branson, K.: Tracking Multiple Mouse Contours (without Too Many Samples)
with: Branson, S.: Building a bird recognition app and large scale dataset w...
with: Branson, S.: Efficient Large-Scale Structured Learning
with: Branson, S.: Ignorant Led by the Blind: A Hybrid Human-Machine Vision ...
with: Branson, S.: Improved Bird Species Recognition Using Pose Normalized D...
with: Branson, S.: Multiclass recognition and part localization with humans ...
with: Branson, S.: Similarity Comparisons for Interactive Fine-Grained Categ...
with: Branson, S.: Similarity metrics for categorization: From monolithic to...
with: Branson, S.: Strong supervision from weak annotation: Interactive trai...
with: Branson, S.: Visual Recognition with Humans in the Loop
with: Buhmann, J.M.: Model Order Selection and Cue Combination for Image Seg...
with: Carballido Gamio, J.: Normalized Cuts in 3-D for Spinal MRI Segmentation
with: Carragher, B.: Structure and View Estimation for Tomographic Reconstru...
with: Carson, C.: Blobworld: A System for Region-Based Image Indexing and Re...
with: Carson, C.: Blobworld: Image Segmentation Using Expectation-Maximizati...
with: Carson, C.: Color- and Texture-Based Image Segmentation Using the Expe...
with: Carson, C.: Region-Based Image Querying
with: Chandraker, M.: Globally Optimal Affine and Metric Upgrades in Stratif...
with: Chandraker, M.: Globally Optimal Algorithms for Stratified Autocalibra...
with: Chandraker, M.K.: Practical Global Optimization for Multiview Geometry
with: Chechik, G.: Learning from Noisy Large-Scale Datasets with Minimal Sup...
with: Chen, J.: Analyzing sedentary behavior in life-logging images
with: Christiansen, E.: Camera Distance from Face Images
with: Christiansen, E.: Face Box Shape and Verification
with: Christiansen, E.: Match-time covariance for descriptors
with: Christiansen, E.: Toward real-time grocery detection for the visually ...
with: Chung, F.: Spectral Grouping Using the Nystrom Method
with: Chung, F.: Spectral Partitioning with Indefinite Kernels Using the Nys...
with: Cottrell, G.W.: Behavior recognition via sparse spatio-temporal features
with: Cui, Y.: Fine-Grained Categorization and Dataset Bootstrapping Using D...
with: Cui, Y.: Kernel Pooling for Convolutional Neural Networks
with: Dollar, P.: Behavior recognition via sparse spatio-temporal features
with: Dollar, P.: Fast Feature Pyramids for Object Detection
with: Dollar, P.: Fastest Pedestrian Detector in the West, The
with: Dollar, P.: Feature Mining for Image Classification
with: Dollar, P.: Integral Channel Features
with: Dollar, P.: Microsoft COCO: Common Objects in Context
with: Dollar, P.: Multiple Component Learning for Object Detection
with: Dollar, P.: Simultaneous Learning and Alignmennt: Multi-Instance and M...
with: Dollar, P.: Supervised Learning of Edges and Object Boundaries
with: Dollar, P.: Task Specific Local Region Matching
with: Donato, G.: Approximate Thin Plate Spline Mappings
with: Fakourfar, H.: Fingerprint recognition system performance in the marit...
with: Farrell, R.: Building a bird recognition app and large scale dataset w...
with: Faymonville, P.: BUBL: An effective region labeling tool using a hexag...
with: Flores, A.: Camera Distance from Face Images
with: Flores, A.: Removing pedestrians from Google street view images
with: Fowlkes, C.C.: Efficient Spatiotemporal Grouping Using the Nyström Met...
with: Fowlkes, C.C.: Spectral Grouping Using the Nystrom Method
with: Fowlkes, C.C.: Spectral Partitioning with Indefinite Kernels Using the...
with: Fua, P.: Learning to Match Aerial Images with Deep Attentive Architect...
with: Galleguillos, C.: BUBL: An effective region labeling tool using a hexa...
with: Galleguillos, C.: Context based object categorization: A critical survey
with: Galleguillos, C.: From region similarity to category discovery
with: Galleguillos, C.: Multi-class object localization by combining local c...
with: Galleguillos, C.: Object categorization using co-occurrence, location ...
with: Galleguillos, C.: Objects in Context
with: Galleguillos, C.: Recognizing Groceries in situ Using in vitro Trainin...
with: Galleguillos, C.: Weakly Supervised Object Localization with Stable Se...
with: Gibson, K.B.: Example based depth from fog
with: Godbole, S.: Analyzing sedentary behavior in life-logging images
with: Godbole, S.: Discriminative Regions: A Substrate for Analyzing Life-Lo...
with: Goodman, R.: Overcomplete Steerable Pyramid Filters and Rotation Invar...
with: Grauman, K.: Editorial: Special Issue on Active and Interactive Method...
with: Greenspan, H.: Blobworld: Image Segmentation Using Expectation-Maximiz...
with: Greenspan, H.: Color- and Texture-Based Image Segmentation Using the E...
with: Greenspan, H.: Region-Based Image Querying
with: Greenspan, H.K.: Overcomplete Steerable Pyramid Filters and Rotation I...
with: Gupta, A.: Learning from Noisy Large-Scale Datasets with Minimal Super...
with: Haber, S.: Building a bird recognition app and large scale dataset wit...
with: Hays, J.: Cross-View Image Geolocalization
with: Hays, J.: Learning to Match Aerial Images with Deep Attentive Architec...
with: Hays, J.: Microsoft COCO: Common Objects in Context
with: Hellerstein, J.: Blobworld: A System for Region-Based Image Indexing a...
with: Hewitt, R.: Active Learning in Face Recognition: Using Tracking to Bui...
with: Hopcroft, J.: Stacked Generative Adversarial Networks
with: Huang, X.: Arbitrary Style Transfer in Real-Time with Adaptive Instanc...
with: Huang, X.: Stacked Generative Adversarial Networks
with: Hwang, Y.: Detecting temporally consistent objects in videos through o...
with: Hwang, Y.: Improving streaming video segmentation with early and mid-l...
with: Ipeirotis, P.: Building a bird recognition app and large scale dataset...
with: Johnson, E.: Discriminative Regions: A Substrate for Analyzing Life-Lo...
with: Kahl, F.: Practical Global Optimization for Multiview Geometry
with: Kastner, R.: JBoost Optimization of Color Detectors for Autonomous Und...
with: Kerr, J.: Analyzing sedentary behavior in life-logging images
with: Kerr, J.: Discriminative Regions: A Substrate for Analyzing Life-Loggi...
with: Krasin, I.: Learning from Noisy Large-Scale Datasets with Minimal Supe...
with: Kriegman, D.: Learning Concept Embeddings with Combined Human-Machine ...
with: Kriegman, D.J.: Beyond Pairwise Clustering
with: Kriegman, D.J.: Camera Distance from Face Images
with: Kriegman, D.J.: Face Box Shape and Verification
with: Kriegman, D.J.: From Bikers to Surfers: Visual Recognition of Urban Tr...
with: Kriegman, D.J.: Globally Optimal Affine and Metric Upgrades in Stratif...
with: Kriegman, D.J.: Globally Optimal Algorithms for Stratified Autocalibra...
with: Kriegman, D.J.: Match-time covariance for descriptors
with: Kriegman, D.J.: On Refractive Optical Flow
with: Kriegman, D.J.: Pose, illumination and expression invariant pairwise f...
with: Kriegman, D.J.: Practical Global Optimization for Multiview Geometry
with: Kriegman, D.J.: Structure and View Estimation for Tomographic Reconstr...
with: Kriegman, D.J.: Urban tribes: Analyzing group photos from a social per...
with: Kriegman, D.J.: Vision in the Small: Reconstructing the Structure of P...
with: Kwak, I.S.: Face Box Shape and Verification
with: Kwak, I.S.: From Bikers to Surfers: Visual Recognition of Urban Tribes
with: Kwak, I.S.: Learning Concept Embeddings with Combined Human-Machine Ex...
with: Kwak, I.S.: Urban tribes: Analyzing group photos from a social perspec...
with: Lanckriet, G.R.G.: From region similarity to category discovery
with: Lanckriet, G.R.G.: Multi-class object localization by combining local ...
with: Lange, T.: Model Order Selection and Cue Combination for Image Segment...
with: Laptev, I.: Periodic Motion Detection and Segmentation via Approximate...
with: Leung, T.: Contour and Texture Analysis for Image Segmentation
with: Leung, T.: Image and video segmentation: the normalized cut framework
with: Leung, T.: Textons, Contours and Regions: Cue Integration in Image Seg...
with: Li, L.J.: Boosted Convolutional Neural Networks
with: Li, Y.X.: Stacked Generative Adversarial Networks
with: Lim, J.W.: Beyond Pairwise Clustering
with: Lin, T.Y.: Cross-View Image Geolocalization
with: Lin, T.Y.: Microsoft COCO: Common Objects in Context
with: Lin, Y.: Kernel Pooling for Convolutional Neural Networks
with: Lin, Y.Q.: Fine-Grained Categorization and Dataset Bootstrapping Using...
with: Liu, X.: Kernel Pooling for Convolutional Neural Networks
with: Maire, M.: Microsoft COCO: Common Objects in Context
with: Maji, S.: Learning Localized Perceptual Similarity Metrics for Interac...
with: Maji, S.: Similarity Comparisons for Interactive Fine-Grained Categori...
with: Majumdar, S.: Normalized Cuts in 3-D for Spinal MRI Segmentation
with: Malik, J.: Blobworld: A System for Region-Based Image Indexing and Ret...
with: Malik, J.: Blobworld: Image Segmentation Using Expectation-Maximizatio...
with: Malik, J.: Color- and Texture-Based Image Segmentation Using the Expec...
with: Malik, J.: Contour and Texture Analysis for Image Segmentation
with: Malik, J.: Efficient Shape Matching Using Shape Contexts
with: Malik, J.: Efficient Spatiotemporal Grouping Using the Nyström Method
with: Malik, J.: Finding Boundaries in Natural Images: A New Method Using Po...
with: Malik, J.: Image and video segmentation: the normalized cut framework
with: Malik, J.: Matching Shapes
with: Malik, J.: Matching with shape contexts
with: Malik, J.: Region-Based Image Querying
with: Malik, J.: Shape Contexts Enable Efficient Retrieval of Similar Shapes
with: Malik, J.: Shape Matching and Object Recognition Using Shape Contexts
with: Malik, J.: Spectral Grouping Using the Nystrom Method
with: Malik, J.: Spectral Partitioning with Indefinite Kernels Using the Nys...
with: Malik, J.: Textons, Contours and Regions: Cue Integration in Image Seg...
with: Mallick, S.P.: On Refractive Optical Flow
with: Mallick, S.P.: Structure and View Estimation for Tomographic Reconstru...
with: Mallick, S.P.: Vision in the Small: Reconstructing the Structure of Pr...
with: Marshall, S.: Analyzing sedentary behavior in life-logging images
with: McFee, B.: From region similarity to category discovery
with: McFee, B.: Multi-class object localization by combining local contextu...
with: Merler, M.: Recognizing Groceries in situ Using in vitro Training Data
with: Moghimi, M.: Analyzing sedentary behavior in life-logging images
with: Moghimi, M.: Boosted Convolutional Neural Networks
with: Moghimi, M.: Discriminative Regions: A Substrate for Analyzing Life-Lo...
with: Moghimi, M.: Experiments on an RGB-D Wearable Vision System for Egocen...
with: Moghimi, M.: Recognizing locations with Google Glass: A case study
with: Montesano, L.: Experiments on an RGB-D Wearable Vision System for Egoc...
with: Mori, G.: Efficient Shape Matching Using Shape Contexts
with: Mori, G.: Shape Contexts Enable Efficient Retrieval of Similar Shapes
with: Murillo, A.C.: Experiments on an RGB-D Wearable Vision System for Egoc...
with: Murillo, A.C.: From Bikers to Surfers: Visual Recognition of Urban Tri...
with: Murillo, A.C.: Urban tribes: Analyzing group photos from a social pers...
with: Nguyen, P.X.: Video text detection and recognition: Dataset and benchm...
with: Nguyen, T.: Detecting temporally consistent objects in videos through ...
with: Nguyen, T.: Improving streaming video segmentation with early and mid-...
with: Nguyen, T.Q.: Example based depth from fog
with: Perez, P.: Periodic Motion Detection and Segmentation via Approximate ...
with: Perona, P.: Beyond Pairwise Clustering
with: Perona, P.: Building a bird recognition app and large scale dataset wi...
with: Perona, P.: Fast Feature Pyramids for Object Detection
with: Perona, P.: Fastest Pedestrian Detector in the West, The
with: Perona, P.: Ignorant Led by the Blind: A Hybrid Human-Machine Vision S...
with: Perona, P.: Improved Bird Species Recognition Using Pose Normalized De...
with: Perona, P.: Integral Channel Features
with: Perona, P.: Microsoft COCO: Common Objects in Context
with: Perona, P.: Multiclass recognition and part localization with humans i...
with: Perona, P.: Multiple Component Learning for Object Detection
with: Perona, P.: Overcomplete Steerable Pyramid Filters and Rotation Invari...
with: Perona, P.: Similarity Comparisons for Interactive Fine-Grained Catego...
with: Perona, P.: Strong supervision from weak annotation: Interactive train...
with: Perona, P.: Visual Recognition with Humans in the Loop
with: Potter, C.S.: Structure and View Estimation for Tomographic Reconstruc...
with: Poursaeed, O.: Stacked Generative Adversarial Networks
with: Puzicha, J.: Matching Shapes
with: Puzicha, J.: Model-based Halftoning for Color Image Segmentation
with: Puzicha, J.: Shape Matching and Object Recognition Using Shape Contexts
with: Rabaud, V.: Behavior recognition via sparse spatio-temporal features
with: Rabaud, V.: Counting Crowded Moving Objects
with: Rabaud, V.: Linear embeddings in non-rigid structure from motion
with: Rabaud, V.: Match-time covariance for descriptors
with: Rabaud, V.: Re-thinking non-rigid structure from motion
with: Rabaud, V.: Soylent Grid: It's Made of People
with: Rabinovich, A.: Model Order Selection and Cue Combination for Image Se...
with: Rabinovich, A.: Object categorization using co-occurrence, location an...
with: Rabinovich, A.: Objects in Context
with: Rabinovich, A.: Scenes vs. objects: A comparative study of two approac...
with: Rabinovich, A.: Weakly Supervised Object Localization with Stable Segm...
with: Rakshit, S.: Overcomplete Steerable Pyramid Filters and Rotation Invar...
with: Ramanan, D.: Microsoft COCO: Common Objects in Context
with: Saberian, M.J.: Boosted Convolutional Neural Networks
with: Schroff, F.: Pose, illumination and expression invariant pairwise face...
with: Schroff, F.: Visual Recognition with Humans in the Loop
with: Shi, J.: Image and video segmentation: the normalized cut framework
with: Shi, J.: Textons, Contours and Regions: Cue Integration in Image Segme...
with: Shi, J.B.: Contour and Texture Analysis for Image Segmentation
with: Shmatikov, V.: Can we still avoid automatic face detection?
with: Steinbach, S.: Soylent Grid: It's Made of People
with: Tao, H.: Feature Mining for Image Classification
with: Thomas, M.: Blobworld: A System for Region-Based Image Indexing and Re...
with: Treibitz, T.: Pose, illumination and expression invariant pairwise fac...
with: Tripathi, S.: Detecting temporally consistent objects in videos throug...
with: Tripathi, S.: Improving streaming video segmentation with early and mi...
with: Trulls, E.: Learning to Match Aerial Images with Deep Attentive Archit...
with: Tu, Z.W.: Feature Mining for Image Classification
with: Tu, Z.W.: Integral Channel Features
with: Tu, Z.W.: Multiple Component Learning for Object Detection
with: Tu, Z.W.: Simultaneous Learning and Alignmennt: Multi-Instance and Mul...
with: Tu, Z.W.: Supervised Learning of Edges and Object Boundaries
with: van Horn, G.: Building a bird recognition app and large scale dataset ...
with: van Horn, G.: Ignorant Led by the Blind: A Hybrid Human-Machine Vision...
with: van Horn, G.: Improved Bird Species Recognition Using Pose Normalized ...
with: van Horn, G.: Similarity Comparisons for Interactive Fine-Grained Cate...
with: Vasconcelos, N.M.: Boosted Convolutional Neural Networks
with: Vedaldi, A.: Objects in Context
with: Veit, A.: Learning from Noisy Large-Scale Datasets with Minimal Superv...
with: Veit, A.: Learning to Detect and Match Keypoints with Deep Architectures
with: Wah, C.: Attribute-Based Detection of Unfamiliar Classes with Humans i...
with: Wah, C.: Ignorant Led by the Blind: A Hybrid Human-Machine Vision Syst...
with: Wah, C.: Learning Localized Perceptual Similarity Metrics for Interact...
with: Wah, C.: Multiclass recognition and part localization with humans in t...
with: Wah, C.: Similarity Comparisons for Interactive Fine-Grained Categoriz...
with: Wah, C.: Visual Recognition with Humans in the Loop
with: Wang, J.: Kernel Pooling for Convolutional Neural Networks
with: Wang, K.: End-to-end scene text recognition
with: Wang, K.: Video text detection and recognition: Dataset and benchmark
with: Wang, K.: Word Spotting in the Wild
with: Welinder, P.: Visual Recognition with Humans in the Loop
with: Wiewiora, E.: Objects in Context
with: Wilber, M.J.: Can we still avoid automatic face detection?
with: Wilber, M.J.: Learning Concept Embeddings with Combined Human-Machine ...
with: Wills, J.: Feature-based Approach for Dense Segmentation and Estimatio...
with: Wills, J.: Feature-Based Approach for Determining Dense Long Range Cor...
with: Wills, J.: Periodic Motion Detection and Segmentation via Approximate ...
with: Wills, J.: Structure from Periodic Motion
with: Winlock, T.: Toward real-time grocery detection for the visually impai...
with: Wu, W.: Analyzing sedentary behavior in life-logging images
with: Yang, J.: Boosted Convolutional Neural Networks
with: Yang, M.H.: family of online boosting algorithms, A
with: Yang, M.H.: Robust Object Tracking with Online Multiple Instance Learn...
with: Yang, M.H.: Visual tracking with online Multiple Instance Learning
with: Zelnik Manor, L.: Beyond Pairwise Clustering
with: Zhou, F.: Fine-Grained Categorization and Dataset Bootstrapping Using ...
with: Zhou, F.: Kernel Pooling for Convolutional Neural Networks
with: Ziegler, A.: Match-time covariance for descriptors
with: Ziegler, A.: Non-rigid surface detection for gestural interaction with...
with: Zitnick, C.L.: Microsoft COCO: Common Objects in Context
293 for Belongie, S.J.
Belonosov, A.
Standard Author Listing
with: Grabovskii, V.: Fluid Migration through Permafrost and the Pool of Gre...
with: Kraev, G.: Fluid Migration through Permafrost and the Pool of Greenhou...
with: Shelokhov, I.: Fluid Migration through Permafrost and the Pool of Gree...
with: Sheshukov, S.: Fluid Migration through Permafrost and the Pool of Gree...
with: Smirnov, A.: Fluid Migration through Permafrost and the Pool of Greenh...
with: Veremeeva, A.: Fluid Migration through Permafrost and the Pool of Gree...
Belotserkovsky, A.
Standard Author Listing
with: Ablameyko, S.: structure analysis of ultra thin magnetic film images, ...
with: Dobrogowski, W.: structure analysis of ultra thin magnetic film images...
with: Maziewski, A.: structure analysis of ultra thin magnetic film images, ...
with: Nedzved, A.: structure analysis of ultra thin magnetic film images, The
Belotti, C.
Standard Author Listing
with: Arola, A.: Distributed Modular Data Processing Chain Applied to Simula...
with: Barbara, F.: Distributed Modular Data Processing Chain Applied to Simu...
with: Canessa, B.: Distributed Modular Data Processing Chain Applied to Simu...
with: Castelli, E.: FORUM Earth Explorer 9: Characteristics of Level 2 Produ...
with: Ceccherini, S.: Distributed Modular Data Processing Chain Applied to S...
with: Cortesi, U.: Distributed Modular Data Processing Chain Applied to Simu...
with: Cuccoli, F.: application of tomographic reconstruction of atmospheric ...
with: Dandini, P.: FORUM Earth Explorer 9: Characteristics of Level 2 Produc...
with: del Bianco, S.: Distributed Modular Data Processing Chain Applied to S...
with: del Bianco, S.: FORUM Earth Explorer 9: Characteristics of Level 2 Pro...
with: di Natale, G.: FORUM Earth Explorer 9: Characteristics of Level 2 Prod...
with: di Roma, A.: FORUM Earth Explorer 9: Characteristics of Level 2 Produc...
with: Dinelli, B.M.: FORUM Earth Explorer 9: Characteristics of Level 2 Prod...
with: Facheris, L.: application of tomographic reconstruction of atmospheric...
with: Farruggia, V.: Distributed Modular Data Processing Chain Applied to Si...
with: Gai, M.: Distributed Modular Data Processing Chain Applied to Simulate...
with: Keppens, A.: Distributed Modular Data Processing Chain Applied to Simu...
with: Labonnote, L.C.: FORUM Earth Explorer 9: Characteristics of Level 2 Pr...
with: Lambert, J.C.: Distributed Modular Data Processing Chain Applied to Si...
with: Lipponen, A.: Distributed Modular Data Processing Chain Applied to Sim...
with: Masini, A.: Distributed Modular Data Processing Chain Applied to Simul...
with: Palchetti, L.: FORUM Earth Explorer 9: Characteristics of Level 2 Prod...
with: Ridolfi, M.: FORUM Earth Explorer 9: Characteristics of Level 2 Produc...
with: Tirelli, C.: Distributed Modular Data Processing Chain Applied to Simu...
with: Tuinder, O.: Distributed Modular Data Processing Chain Applied to Simu...
with: Vaselli, O.: application of tomographic reconstruction of atmospheric ...
with: Zoppetti, N.: Distributed Modular Data Processing Chain Applied to Sim...
27 for Belotti, C.
Belotti, M.
Standard Author Listing
with: d'Aria, D.: Requirements and Tests for Phase Preservation in a SAR Pro...
with: Giudici, D.: Sentinel-1A: Analysis of FDBAQ Performance on Real Data
with: Guarnieri, A.M.: Sentinel-1A: Analysis of FDBAQ Performance on Real Data
with: Guccione, P.: Requirements and Tests for Phase Preservation in a SAR P...
with: Guccione, P.: Sentinel-1A: Analysis of FDBAQ Performance on Real Data
with: Miranda, N.: Requirements and Tests for Phase Preservation in a SAR Pr...
with: Monti Guarnieri, A.: Requirements and Tests for Phase Preservation in ...
with: Navas Traver, I.: Sentinel-1A: Analysis of FDBAQ Performance on Real D...
with: Rosich, B.: Requirements and Tests for Phase Preservation in a SAR Pro...
9 for Belotti, M.
Belouadah, E.
Standard Author Listing
with: Ahmad, S.: Avalanche: an End-to-End Library for Continual Learning
with: Antiga, L.: Avalanche: an End-to-End Library for Continual Learning
with: Bacciu, D.: Avalanche: an End-to-End Library for Continual Learning
with: Bailly, K.: MultIOD: Rehearsal-free Multihead Incremental Object Detec...
with: Calderara, S.: Avalanche: an End-to-End Library for Continual Learning
with: Carta, A.: Avalanche: an End-to-End Library for Continual Learning
with: Cooper, K.: Avalanche: an End-to-End Library for Continual Learning
with: Cossu, A.: Avalanche: an End-to-End Library for Continual Learning
with: Cuzzolin, F.: Avalanche: an End-to-End Library for Continual Learning
with: Dapogny, A.: MultIOD: Rehearsal-free Multihead Incremental Object Dete...
with: de Lange, M.: Avalanche: an End-to-End Library for Continual Learning
with: Forest, J.: Avalanche: an End-to-End Library for Continual Learning
with: Graffieti, G.: Avalanche: an End-to-End Library for Continual Learning
with: Hayes, T.L.: Avalanche: an End-to-End Library for Continual Learning
with: Kanan, C.: Avalanche: an End-to-End Library for Continual Learning
with: Lomonaco, V.: Avalanche: an End-to-End Library for Continual Learning
with: Maltoni, D.: Avalanche: an End-to-End Library for Continual Learning
with: Masana, M.: Avalanche: an End-to-End Library for Continual Learning
with: Mundt, M.: Avalanche: an End-to-End Library for Continual Learning
with: Onchis, D.: Dataset Knowledge Transfer for Class-Incremental Learning ...
with: Parisi, G.I.: Avalanche: an End-to-End Library for Continual Learning
with: Pellegrini, L.: Avalanche: an End-to-End Library for Continual Learning
with: Pomponi, J.: Avalanche: an End-to-End Library for Continual Learning
with: Popescu, A.: Avalanche: an End-to-End Library for Continual Learning
with: Popescu, A.: Dataset Knowledge Transfer for Class-Incremental Learning...
with: Popescu, A.: DeeSIL: Deep-Shallow Incremental Learning
with: Popescu, A.: IL2M: Class Incremental Learning With Dual Memory
with: Popescu, A.: ScaIL: Classifier Weights Scaling for Class Incremental L...
with: Scardapane, S.: Avalanche: an End-to-End Library for Continual Learning
with: She, Q.: Avalanche: an End-to-End Library for Continual Learning
with: Slim, H.: Dataset Knowledge Transfer for Class-Incremental Learning wi...
with: Tolias, A.S.: Avalanche: an End-to-End Library for Continual Learning
with: Tuytelaars, T.: Avalanche: an End-to-End Library for Continual Learning
with: van de Ven, G.M.: Avalanche: an End-to-End Library for Continual Learn...
with: van de Weijer, J.: Avalanche: an End-to-End Library for Continual Lear...
35 for Belouadah, E.
Belouchrani, A.
Standard Author Listing
with: Abed Meraim, K.: Generalized Unitary Joint Diagonalization Algorithm B...
with: Abed Meraim, K.: Separation of Dependent Autoregressive Sources Using ...
with: Azzouz, M.: Generalized Unitary Joint Diagonalization Algorithm Based ...
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13 for Belouchrani, A.
Belous, G.
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16 for Belous, G.
Belousov, A.
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Belousov, B.
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Belousov, I.R.
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Belousov, Y.
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Belousova, A.
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7 for Belousova, A.
Belousova, M.
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8 for Belousova, M.
Belov, R.
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Belov, V.V.
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Belova, N.
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11 for Belova, N.