Saenen, I.
Standard Author Listing
with: Avramelos, V.: Highly parallel steered mixture-of-experts rendering at...
with: Goossens, B.: Highly parallel steered mixture-of-experts rendering at ...
with: Lambert, P.: Highly parallel steered mixture-of-experts rendering at p...
with: van Wallendael, G.: Highly parallel steered mixture-of-experts renderi...
with: Verhack, R.: Highly parallel steered mixture-of-experts rendering at p...
Saengkyongam, S.
Standard Author Listing
with: Peters, J.: Invariant Policy Learning: A Causal Perspective
with: Pfister, N.: Invariant Policy Learning: A Causal Perspective
with: Thams, N.: Invariant Policy Learning: A Causal Perspective
Saenko, K.
Standard Author Listing
with: Abdelfattah, M.: ZeroWaste Dataset: Towards Deformable Object Segmenta...
with: Ablavsky, V.: DIPNet: Dynamic Identity Propagation Network for Video O...
with: Ablavsky, V.: ZeroWaste Dataset: Towards Deformable Object Segmentatio...
with: Abu Hussein, S.: Unsupervised Domain Generalization by Learning a Brid...
with: Agrawal, S.: Dataset for Interactive Vision-Language Navigation with U...
with: Akl, J.: ZeroWaste Dataset: Towards Deformable Object Segmentation in ...
with: Alfassy, A.: Detector-Free Weakly Supervised Grounding by Separation
with: Alfassy, A.: Unsupervised Domain Generalization by Learning a Bridge A...
with: Ali, K.: Confidence-Rated Multiple Instance Boosting for Object Detect...
with: Ali, K.: Learning Deep Object Detectors from 3D Models
with: Alladkani, F.: ZeroWaste Dataset: Towards Deformable Object Segmentati...
with: Amrani, E.: Unsupervised Domain Generalization by Learning a Bridge Ac...
with: Andreas, J.: Explainable Neural Computation via Stack Neural Module Ne...
with: Andreas, J.: Learning to Reason: End-to-End Module Networks for Visual...
with: Andreas, J.: Modeling Relationships in Referential Expressions with Co...
with: Arbelle, A.: Detector-Free Weakly Supervised Grounding by Separation
with: Arbelle, A.: Unsupervised Domain Generalization by Learning a Bridge A...
with: Arsan, D.: Dataset for Interactive Vision-Language Navigation with Unk...
with: Bai, Q.: Moment Matching for Multi-Source Domain Adaptation
with: Bargal, S.A.: Explainable Deep Classification Models for Domain Genera...
with: Bargal, S.A.: Guided Zoom: Zooming into Network Evidence to Refine Fin...
with: Bargal, S.A.: ZeroWaste Dataset: Towards Deformable Object Segmentatio...
with: Barron, J.T.: category-level 3-D object dataset: Putting the Kinect to...
with: Bashkirova, D.: Evaluation of Correctness in Unsupervised Many-to-Many...
with: Bashkirova, D.: Learning to Compose SuperWeights for Neural Parameter ...
with: Bashkirova, D.: MaskSketch: Unpaired Structure-guided Masked Image Gen...
with: Bashkirova, D.: RIFT: Disentangled Unsupervised Image Translation via ...
with: Bashkirova, D.: ZeroWaste Dataset: Towards Deformable Object Segmentat...
with: Betke, M.: Unified Framework for Domain Adaptive Pose Estimation, A
with: Bhagavatula, C.: Abduction of Sherlock Holmes: A Dataset for Visual Ab...
with: Bregler, C.: PuppetGAN: Cross-Domain Image Manipulation by Demonstration
with: Bronstein, A.M.: Detector-Free Weakly Supervised Grounding by Separation
with: Bukchin, G.: Fine-grained Angular Contrastive Learning with Coarse Lab...
with: Burns, A.: Dataset for Interactive Vision-Language Navigation with Unk...
with: Burns, A.: Language Features Matter: Effective Language Representation...
with: Burns, A.: Language-Guided Audio-Visual Source Separation via Trimodal...
with: Burns, A.: Learning to Scale Multilingual Representations for Vision-L...
with: Burns, K.: Women Also Snowboard: Overcoming Bias in Captioning Models
with: Calli, B.: ZeroWaste Dataset: Towards Deformable Object Segmentation i...
with: Chakrabarti, A.: Learning object color models from multi-view constrai...
with: Chakrabarti, A.: Modeling Radiometric Uncertainty for Vision with Tone...
with: Chakraborty, O.: Semi-Supervised Action Recognition with Temporal Cont...
with: Chandraker, M.: Learning Cross-Modal Contrastive Features for Video Do...
with: Chandrasekaran, A.: Active Domain Adaptation via Clustering Uncertaint...
with: Chen, C.F.: Detector-Free Weakly Supervised Grounding by Separation
with: Chen, C.F.R.: AdaMML: Adaptive Multi-Modal Learning for Efficient Vide...
with: Chen, C.F.R.: Dynamic Network Quantization for Efficient Video Inference
with: Chen, C.F.R.: Improved Techniques for Quantizing Deep Networks with Ad...
with: Chen, C.F.R.: Task2Sim: Towards Effective Pre-training and Transfer fr...
with: Chen, Y.: Toward Driving Scene Understanding: A Dataset for Learning D...
with: Choi, Y.: Abduction of Sherlock Holmes: A Dataset for Visual Abductive...
with: Codella, J.V.: Broader Study of Cross-domain Few-shot Learning, A
with: Codella, N.C.: Broader Study of Cross-domain Few-shot Learning, A
with: Dai, Q.: Temporal Action Detection with Multi-level Supervision
with: Darrell, T.J.: Adapting Visual Category Models to New Domains
with: Darrell, T.J.: Adversarial Discriminative Domain Adaptation
with: Darrell, T.J.: Captioning Images with Diverse Objects
with: Darrell, T.J.: category-level 3-D object dataset: Putting the Kinect t...
with: Darrell, T.J.: Continuous Manifold Based Adaptation for Evolving Visua...
with: Darrell, T.J.: Deep Compositional Captioning: Describing Novel Object ...
with: Darrell, T.J.: Detector discovery in the wild: Joint multiple instance...
with: Darrell, T.J.: Discovering Latent Domains for Multisource Domain Adapt...
with: Darrell, T.J.: Explainable Neural Computation via Stack Neural Module ...
with: Darrell, T.J.: From pixels to physics: Probabilistic color de-rendering
with: Darrell, T.J.: Language-Conditioned Graph Networks for Relational Reas...
with: Darrell, T.J.: Learning object color models from multi-view constraints
with: Darrell, T.J.: Learning to Detect Every Thing in an Open World
with: Darrell, T.J.: Learning to Reason: End-to-End Module Networks for Visu...
with: Darrell, T.J.: Long-Term Recurrent Convolutional Networks for Visual R...
with: Darrell, T.J.: Modeling Radiometric Uncertainty for Vision with Tone-M...
with: Darrell, T.J.: Modeling Relationships in Referential Expressions with ...
with: Darrell, T.J.: Multistream Articulatory Feature-Based Models for Visua...
with: Darrell, T.J.: Natural Language Object Retrieval
with: Darrell, T.J.: NBNN kernel, The
with: Darrell, T.J.: Semi-Supervised Domain Adaptation via Minimax Entropy
with: Darrell, T.J.: Semi-supervised Domain Adaptation with Instance Constra...
with: Darrell, T.J.: Sequence to Sequence -- Video to Text
with: Darrell, T.J.: Simultaneous Deep Transfer Across Domains and Tasks
with: Darrell, T.J.: Spatial Semantic Regularisation for Large Scale Object ...
with: Darrell, T.J.: Temporal Action Detection with Multi-level Supervision
with: Darrell, T.J.: Tune it the Right Way: Unsupervised Validation of Domai...
with: Darrell, T.J.: Visual Speech Recognition with Loosely Synchronized Fea...
with: Darrell, T.J.: What you saw is not what you get: Domain adaptation usi...
with: Darrell, T.J.: Women Also Snowboard: Overcoming Bias in Captioning Mod...
with: Darrell, T.J.: YouTube2Text: Recognizing and Describing Arbitrary Acti...
with: Das, A.: R-C3D: Region Convolutional 3D Network for Temporal Activity ...
with: Das, A.: Select, Label, and Mix: Learning Discriminative Invariant Fea...
with: Das, A.: Semi-Supervised Action Recognition with Temporal Contrastive ...
with: Das, A.: Top-Down Visual Saliency Guided by Captions
with: Das, A.: Two-Stream Region Convolutional 3D Network for Temporal Activ...
with: Donahue, J.: Asymmetric and Category Invariant Feature Transformations...
with: Donahue, J.: Long-Term Recurrent Convolutional Networks for Visual Rec...
with: Donahue, J.: Semi-supervised Domain Adaptation with Instance Constraints
with: Donahue, J.: Sequence to Sequence -- Video to Text
with: Doveh, S.: Detector-Free Weakly Supervised Grounding by Separation
with: Dryden, N.: Learning to Compose SuperWeights for Neural Parameter Allo...
with: Dufour, N.: PuppetGAN: Cross-Domain Image Manipulation by Demonstration
with: Essa, I.: MaskSketch: Unpaired Structure-guided Masked Image Generation
with: Fan, Q.F.: AdaMML: Adaptive Multi-Modal Learning for Efficient Video R...
with: Feng, J.S.: Natural Language Object Retrieval
with: Feris, R.: Improved Techniques for Quantizing Deep Networks with Adapt...
with: Feris, R.S.: AdaMML: Adaptive Multi-Modal Learning for Efficient Video...
with: Feris, R.S.: Ar-net: Adaptive Frame Resolution for Efficient Action Re...
with: Feris, R.S.: Broader Study of Cross-domain Few-shot Learning, A
with: Feris, R.S.: Detector-Free Weakly Supervised Grounding by Separation
with: Feris, R.S.: Dynamic Network Quantization for Efficient Video Inference
with: Feris, R.S.: Fine-grained Angular Contrastive Learning with Coarse Lab...
with: Feris, R.S.: Select, Label, and Mix: Learning Discriminative Invariant...
with: Feris, R.S.: Semi-Supervised Action Recognition with Temporal Contrast...
with: Feris, R.S.: Separating Skills and Concepts for Novel Visual Question ...
with: Feris, R.S.: Task2Sim: Towards Effective Pre-training and Transfer fro...
with: Feris, R.S.: Unsupervised Domain Generalization by Learning a Bridge A...
with: Forsyth, D.A.: Why Do These Match? Explaining the Behavior of Image Si...
with: Fritz, M.: Adapting Visual Category Models to New Domains
with: Fritz, M.: category-level 3-D object dataset: Putting the Kinect to wo...
with: Fritz, M.: NBNN kernel, The
with: Giryes, R.: Detector-Free Weakly Supervised Grounding by Separation
with: Giryes, R.: Fine-grained Angular Contrastive Learning with Coarse Labels
with: Giryes, R.: Unsupervised Domain Generalization by Learning a Bridge Ac...
with: Glass, J.: Multistream Articulatory Feature-Based Models for Visual Sp...
with: Glass, J.: Visual Speech Recognition with Loosely Synchronized Feature...
with: Guadarrama, S.: Long-Term Recurrent Convolutional Networks for Visual ...
with: Guadarrama, S.: YouTube2Text: Recognizing and Describing Arbitrary Act...
with: Guo, Y.H.: Broader Study of Cross-domain Few-shot Learning, A
with: Harada, T.: Strong-Weak Distribution Alignment for Adaptive Object Det...
with: Harary, S.: Unsupervised Domain Generalization by Learning a Bridge Ac...
with: Hendricks, L.A.: Captioning Images with Diverse Objects
with: Hendricks, L.A.: Deep Compositional Captioning: Describing Novel Objec...
with: Hendricks, L.A.: Long-Term Recurrent Convolutional Networks for Visual...
with: Hendricks, L.A.: Women Also Snowboard: Overcoming Bias in Captioning M...
with: Herzig, R.: Unsupervised Domain Generalization by Learning a Bridge Ac...
with: Hessel, J.: Abduction of Sherlock Holmes: A Dataset for Visual Abducti...
with: Hoffman, J.: Active Domain Adaptation via Clustering Uncertainty-weigh...
with: Hoffman, J.: Adversarial Discriminative Domain Adaptation
with: Hoffman, J.: Asymmetric and Category Invariant Feature Transformations...
with: Hoffman, J.: Continuous Manifold Based Adaptation for Evolving Visual ...
with: Hoffman, J.: Detector discovery in the wild: Joint multiple instance a...
with: Hoffman, J.: Discovering Latent Domains for Multisource Domain Adaptat...
with: Hoffman, J.: Fine-to-coarse knowledge transfer for low-res image class...
with: Hoffman, J.: Semi-supervised Domain Adaptation with Instance Constraints
with: Hoffman, J.: Simultaneous Deep Transfer Across Domains and Tasks
with: Hoffman, J.: Spatial Semantic Regularisation for Large Scale Object De...
with: Hoffman, J.: Temporal Action Detection with Multi-level Supervision
with: Hoffman, J.: VisDA: A Synthetic-to-Real Benchmark for Visual Domain Ad...
with: Hu, P.: DIPNet: Dynamic Identity Propagation Network for Video Object ...
with: Hu, P.: DualCoOp++: Fast and Effective Adaptation to Multi-Label Recog...
with: Hu, P.: Learning to Detect Every Thing in an Open World
with: Hu, P.: Leveraging Geometric Structure for Label-Efficient Semi-Superv...
with: Hu, P.: Many-to-many Splatting for Efficient Video Frame Interpolation
with: Hu, P.: Video Frame Interpolation With Many-to-Many Splatting and Spat...
with: Hu, P.: Weakly Supervised Domain Adaptation using Super-pixel labeling...
with: Hu, P.: ZeroWaste Dataset: Towards Deformable Object Segmentation in C...
with: Hu, R.: Language-Conditioned Graph Networks for Relational Reasoning
with: Hu, R.: Learning to Reason: End-to-End Module Networks for Visual Ques...
with: Hu, R.: Modeling Relationships in Referential Expressions with Composi...
with: Hu, R.: Spatial Semantic Regularisation for Large Scale Object Detection
with: Hu, R.H.: Explainable Neural Computation via Stack Neural Module Netwo...
with: Hu, R.H.: Natural Language Object Retrieval
with: Huang, Z.: Moment Matching for Multi-Source Domain Adaptation
with: Hwang, J.D.: Abduction of Sherlock Holmes: A Dataset for Visual Abduct...
with: Jain, R.: Black-box Explanation of Object Detectors via Saliency Maps
with: Janoch, A.: category-level 3-D object dataset: Putting the Kinect to w...
with: Ji, H.: Separating Skills and Concepts for Novel Visual Question Answe...
with: Jia, Y.Q.: category-level 3-D object dataset: Putting the Kinect to wo...
with: Karayev, S.: category-level 3-D object dataset: Putting the Kinect to ...
with: Karlinsky, L.: Ar-net: Adaptive Frame Resolution for Efficient Action ...
with: Karlinsky, L.: Broader Study of Cross-domain Few-shot Learning, A
with: Karlinsky, L.: Detector-Free Weakly Supervised Grounding by Separation
with: Karlinsky, L.: Fine-grained Angular Contrastive Learning with Coarse L...
with: Karlinsky, L.: Task2Sim: Towards Effective Pre-training and Transfer f...
with: Karlinsky, L.: Unsupervised Domain Generalization by Learning a Bridge...
with: Katabi, D.: Unsupervised Domain Generalization by Learning a Bridge Ac...
with: Kaushik, N.: VisDA: A Synthetic-to-Real Benchmark for Visual Domain Ad...
with: Kim, D.: Semi-Supervised Domain Adaptation via Minimax Entropy
with: Kim, D.H.: Broad Study of Pre-training for Domain Generalization and A...
with: Kim, D.H.: CDS: Cross-Domain Self-supervised Pre-training
with: Kim, D.H.: Learning Cross-Modal Contrastive Features for Video Domain ...
with: Kim, D.H.: Learning to Scale Multilingual Representations for Vision-L...
with: Kim, D.H.: Self-supervised Visual Attribute Learning for Fashion Compa...
with: Kim, D.H.: Tune it the Right Way: Unsupervised Validation of Domain Ad...
with: Kim, D.H.: Unified Framework for Domain Adaptive Pose Estimation, A
with: Koller, D.: combined pose, object, and feature model for action unders...
with: Krishnamoorthy, N.: YouTube2Text: Recognizing and Describing Arbitrary...
with: Kuehne, H.: Detector-Free Weakly Supervised Grounding by Separation
with: Kuehne, H.: Unsupervised Domain Generalization by Learning a Bridge Ac...
with: Kulis, B.: Adapting Visual Category Models to New Domains
with: Kulis, B.: Asymmetric and Category Invariant Feature Transformations f...
with: Kulis, B.: Discovering Latent Domains for Multisource Domain Adaptation
with: Kulis, B.: What you saw is not what you get: Domain adaptation using a...
with: Kumar, R.: Dataset for Interactive Vision-Language Navigation with Unk...
with: Lazebnik, S.: Revisiting Image-Language Networks for Open-Ended Phrase...
with: Lee, C.Y.: Pic2Word: Mapping Pictures to Words for Zero-shot Composed ...
with: Lee, C.Y.: Prefix Conditioning Unifies Language and Label Supervision
with: Leung, T.: NewsStories: Illustrating Articles with Visual Summaries
with: Lev, G.: Detector-Free Weakly Supervised Grounding by Separation
with: Levi, H.B.: Detector-Free Weakly Supervised Grounding by Separation
with: Lewis, J.P.: NewsStories: Illustrating Articles with Visual Summaries
with: Lezama, J.: MaskSketch: Unpaired Structure-guided Masked Image Generat...
with: Li, B.Y.: Joint Event Detection and Description in Continuous Video St...
with: Li, C.L.: Pic2Word: Mapping Pictures to Words for Zero-shot Composed I...
with: Li, C.L.: Prefix Conditioning Unifies Language and Label Supervision
with: Li, C.Y.: Guest Editorial: Special Issue on the Promises and Dangers o...
with: Li, Y.C.: Domain2vec: Domain Embedding for Unsupervised Domain Adaptat...
with: Li, Y.C.: Revisiting Image-Language Networks for Open-Ended Phrase Det...
with: Lin, C.C.: Ar-net: Adaptive Frame Resolution for Efficient Action Reco...
with: Liu, J.: DIPNet: Dynamic Identity Propagation Network for Video Object...
with: Liu, M.Y.: Coco-funit: Few-shot Unsupervised Image Translation with a ...
with: Liu, Z.W.: Guest Editorial: Special Issue on the Promises and Dangers ...
with: Livescu, K.: Multistream Articulatory Feature-Based Models for Visual ...
with: Livescu, K.: Visual Speech Recognition with Loosely Synchronized Featu...
with: Malkarnenkar, G.: YouTube2Text: Recognizing and Describing Arbitrary A...
with: Manjunatha, V.: Black-box Explanation of Object Detectors via Saliency...
with: Mehra, A.: Black-box Explanation of Object Detectors via Saliency Maps
with: Meng, Y.: Ar-net: Adaptive Frame Resolution for Efficient Action Recog...
with: Mishra, S.: Self-supervised Visual Attribute Learning for Fashion Comp...
with: Mishra, S.: Task2Sim: Towards Effective Pre-training and Transfer from...
with: Misu, T.: Toward Driving Scene Understanding: A Dataset for Learning D...
with: Mitchell, M.: Guest Editorial: Image and Language Understanding
with: Moens, M.: Vision and Language Integration Meets Multimedia Fusion
with: Mooney, R.: Captioning Images with Diverse Objects
with: Mooney, R.: Deep Compositional Captioning: Describing Novel Object Cat...
with: Mooney, R.: Sequence to Sequence -- Video to Text
with: Mooney, R.: YouTube2Text: Recognizing and Describing Arbitrary Activit...
with: Morariu, V.I.: Black-box Explanation of Object Detectors via Saliency ...
with: Mrowca, D.: Spatial Semantic Regularisation for Large Scale Object Det...
with: Murino, V.: Explainable Deep Classification Models for Domain Generali...
with: Murino, V.: Guided Zoom: Zooming into Network Evidence to Refine Fine-...
with: Nelson, S.: Learning to Compose SuperWeights for Neural Parameter Allo...
with: Nieto, O.: Language-Guided Audio-Visual Source Separation via Trimodal...
with: Niklaus, S.: Many-to-many Splatting for Efficient Video Frame Interpol...
with: Niklaus, S.: Video Frame Interpolation With Many-to-Many Splatting and...
with: Oh, T.H.: CDS: Cross-Domain Self-supervised Pre-training
with: Oliva, A.: AdaMML: Adaptive Multi-Modal Learning for Efficient Video R...
with: Oliva, A.: Ar-net: Adaptive Frame Resolution for Efficient Action Reco...
with: Oliva, A.: Dynamic Network Quantization for Efficient Video Inference
with: Oliva, A.: Improved Techniques for Quantizing Deep Networks with Adapt...
with: Ordonez, V.: Black-box Explanation of Object Detectors via Saliency Maps
with: Owens, T.: Learning object color models from multi-view constraints
with: Packer, B.: combined pose, object, and feature model for action unders...
with: Pan, B.: Improved Techniques for Quantizing Deep Networks with Adaptiv...
with: Panda, R.: AdaMML: Adaptive Multi-Modal Learning for Efficient Video R...
with: Panda, R.: Ar-net: Adaptive Frame Resolution for Efficient Action Reco...
with: Panda, R.: Detector-Free Weakly Supervised Grounding by Separation
with: Panda, R.: Dynamic Network Quantization for Efficient Video Inference
with: Panda, R.: Improved Techniques for Quantizing Deep Networks with Adapt...
with: Panda, R.: Select, Label, and Mix: Learning Discriminative Invariant F...
with: Panda, R.: Semi-Supervised Action Recognition with Temporal Contrastiv...
with: Panda, R.: Task2Sim: Towards Effective Pre-training and Transfer from ...
with: Park, J.S.: Abduction of Sherlock Holmes: A Dataset for Visual Abducti...
with: Pastra, K.: Vision and Language Integration Meets Multimedia Fusion
with: Pathak, D.: Detector discovery in the wild: Joint multiple instance an...
with: Peng, X.: Moment Matching for Multi-Source Domain Adaptation
with: Peng, X.: VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adapt...
with: Peng, X.C.: Combining Texture and Shape Cues for Object Recognition wi...
with: Peng, X.C.: Domain2vec: Domain Embedding for Unsupervised Domain Adapt...
with: Peng, X.C.: Fine-to-coarse knowledge transfer for low-res image classi...
with: Peng, X.C.: Ground2sky label transfer for fine-grained aerial car reco...
with: Peng, X.C.: Learning Deep Object Detectors from 3D Models
with: Peng, X.C.: Synthetic to Real Adaptation with Generative Correlation A...
with: Peng, X.C.: Weakly Supervised Domain Adaptation using Super-pixel labe...
with: Petsiuk, V.: Black-box Explanation of Object Detectors via Saliency Maps
with: Petsiuk, V.: Guided Zoom: Zooming into Network Evidence to Refine Fine...
with: Petsiuk, V.: Why Do These Match? Explaining the Behavior of Image Simi...
with: Pfister, T.: Pic2Word: Mapping Pictures to Words for Zero-shot Compose...
with: Pfister, T.: Prefix Conditioning Unifies Language and Label Supervision
with: Phoo, C.P.: Task2Sim: Towards Effective Pre-training and Transfer from...
with: Platt, J.C.: Guest Editorial: Image and Language Understanding
with: Plummer, B.A.: Bias Mimicking: A Simple Sampling Approach for Bias Mit...
with: Plummer, B.A.: CDS: Cross-Domain Self-supervised Pre-training
with: Plummer, B.A.: Dataset for Interactive Vision-Language Navigation with...
with: Plummer, B.A.: Language Features Matter: Effective Language Representa...
with: Plummer, B.A.: Language-Guided Audio-Visual Source Separation via Trim...
with: Plummer, B.A.: Learning Similarity Conditions Without Explicit Supervi...
with: Plummer, B.A.: Learning to Compose SuperWeights for Neural Parameter A...
with: Plummer, B.A.: Learning to Scale Multilingual Representations for Visi...
with: Plummer, B.A.: LoGAN: Latent Graph Co-Attention Network for Weakly-Sup...
with: Plummer, B.A.: NewsStories: Illustrating Articles with Visual Summaries
with: Plummer, B.A.: Revisiting Image-Language Networks for Open-Ended Phras...
with: Plummer, B.A.: Self-supervised Visual Attribute Learning for Fashion C...
with: Plummer, B.A.: Why Do These Match? Explaining the Behavior of Image Si...
with: Prabhu, V.: Active Domain Adaptation via Clustering Uncertainty-weight...
with: Qraitem, M.: Bias Mimicking: A Simple Sampling Approach for Bias Mitig...
with: Ramanishka, V.: Joint Event Detection and Description in Continuous Vi...
with: Ramanishka, V.: Top-Down Visual Saliency Guided by Captions
with: Ramanishka, V.: Toward Driving Scene Understanding: A Dataset for Lear...
with: Ray, A.: Language-Guided Audio-Visual Source Separation via Trimodal C...
with: Rodner, E.: Asymmetric and Category Invariant Feature Transformations ...
with: Rodner, E.: Semi-supervised Domain Adaptation with Instance Constraints
with: Rohrbach, A.: Abduction of Sherlock Holmes: A Dataset for Visual Abduc...
with: Rohrbach, A.: Language-Conditioned Graph Networks for Relational Reaso...
with: Rohrbach, A.: Women Also Snowboard: Overcoming Bias in Captioning Models
with: Rohrbach, M.: Captioning Images with Diverse Objects
with: Rohrbach, M.: Deep Compositional Captioning: Describing Novel Object C...
with: Rohrbach, M.: Learning to Reason: End-to-End Module Networks for Visua...
with: Rohrbach, M.: Long-Term Recurrent Convolutional Networks for Visual Re...
with: Rohrbach, M.: Modeling Relationships in Referential Expressions with C...
with: Rohrbach, M.: Natural Language Object Retrieval
with: Rohrbach, M.: Sequence to Sequence -- Video to Text
with: Rohrbach, M.: Spatial Semantic Regularisation for Large Scale Object D...
with: Rosing, T.: Broader Study of Cross-domain Few-shot Learning, A
with: Russell, B.: Language-Guided Audio-Visual Source Separation via Trimod...
with: Sahoo, A.: Select, Label, and Mix: Learning Discriminative Invariant F...
with: Saito, K.: CDS: Cross-Domain Self-supervised Pre-training
with: Saito, K.: Coco-funit: Few-shot Unsupervised Image Translation with a ...
with: Saito, K.: Learning to Detect Every Thing in an Open World
with: Saito, K.: OVANet: One-vs-All Network for Universal Domain Adaptation
with: Saito, K.: Pic2Word: Mapping Pictures to Words for Zero-shot Composed ...
with: Saito, K.: Prefix Conditioning Unifies Language and Label Supervision
with: Saito, K.: Self-supervised Visual Attribute Learning for Fashion Compa...
with: Saito, K.: Semi-Supervised Domain Adaptation via Minimax Entropy
with: Saito, K.: Strong-Weak Distribution Alignment for Adaptive Object Dete...
with: Saito, K.: Tune it the Right Way: Unsupervised Validation of Domain Ad...
with: Saito, K.: Weakly Supervised Domain Adaptation using Super-pixel label...
with: Salamon, J.: Language-Guided Audio-Visual Source Separation via Trimod...
with: Saligrama, V.: Task2Sim: Towards Effective Pre-training and Transfer f...
with: Sameki, M.: Explainable Deep Classification Models for Domain Generali...
with: Sattigeri, P.: Ar-net: Adaptive Frame Resolution for Efficient Action ...
with: Sattigeri, P.: Detector-Free Weakly Supervised Grounding by Separation
with: Scharstein, D.: Modeling Radiometric Uncertainty for Vision with Tone-...
with: Schwartz, E.: Detector-Free Weakly Supervised Grounding by Separation
with: Schwartz, E.: Fine-grained Angular Contrastive Learning with Coarse La...
with: Schwartz, E.: Unsupervised Domain Generalization by Learning a Bridge ...
with: Sclaroff, S.: Broad Study of Pre-training for Domain Generalization an...
with: Sclaroff, S.: CDS: Cross-Domain Self-supervised Pre-training
with: Sclaroff, S.: DIPNet: Dynamic Identity Propagation Network for Video O...
with: Sclaroff, S.: DualCoOp++: Fast and Effective Adaptation to Multi-Label...
with: Sclaroff, S.: Explainable Deep Classification Models for Domain Genera...
with: Sclaroff, S.: Guided Zoom: Zooming into Network Evidence to Refine Fin...
with: Sclaroff, S.: Language Features Matter: Effective Language Representat...
with: Sclaroff, S.: Learning Cross-Modal Contrastive Features for Video Doma...
with: Sclaroff, S.: Leveraging Geometric Structure for Label-Efficient Semi-...
with: Sclaroff, S.: Many-to-many Splatting for Efficient Video Frame Interpo...
with: Sclaroff, S.: Revisiting Image-Language Networks for Open-Ended Phrase...
with: Sclaroff, S.: Self-supervised Visual Attribute Learning for Fashion Co...
with: Sclaroff, S.: Semi-Supervised Domain Adaptation via Minimax Entropy
with: Sclaroff, S.: Tune it the Right Way: Unsupervised Validation of Domain...
with: Sclaroff, S.: Unified Framework for Domain Adaptive Pose Estimation, A
with: Sclaroff, S.: Video Frame Interpolation With Many-to-Many Splatting an...
with: Shah, H.: DIME-FM: DIstilling Multimodal and Efficient Foundation Models
with: Shahar, O.: Fine-grained Angular Contrastive Learning with Coarse Labels
with: Shi, B.F.: Temporal Action Detection with Multi-level Supervision
with: Shih, K.J.: Revisiting Image-Language Networks for Open-Ended Phrase D...
with: Shtok, J.: Detector-Free Weakly Supervised Grounding by Separation
with: Sigal, L.: Joint Event Detection and Description in Continuous Video S...
with: Singh, A.: Semi-Supervised Action Recognition with Temporal Contrastiv...
with: Siracusa, M.: Visual Speech Recognition with Loosely Synchronized Feat...
with: Smith, J.R.: Broader Study of Cross-domain Few-shot Learning, A
with: Sohn, K.: MaskSketch: Unpaired Structure-guided Masked Image Generation
with: Sohn, K.: Pic2Word: Mapping Pictures to Words for Zero-shot Composed I...
with: Sohn, K.: Prefix Conditioning Unifies Language and Label Supervision
with: Staar, P.: Unsupervised Domain Generalization by Learning a Bridge Acr...
with: Sud, A.: MetaPose: Fast 3D Pose from Multiple Views without 3D Supervi...
with: Sud, A.: NewsStories: Illustrating Articles with Visual Summaries
with: Sun, B.: Ground2sky label transfer for fine-grained aerial car recogni...
with: Sun, B.: Modeling Radiometric Uncertainty for Vision with Tone-Mapped ...
with: Sun, B.C.: Deep CORAL: Correlation Alignment for Deep Domain Adaptation
with: Sun, B.C.: From Virtual to Reality: Fast Adaptation of Virtual Object ...
with: Sun, B.C.: Learning Deep Object Detectors from 3D Models
with: Sun, B.C.: Subspace Distribution Alignment for Unsupervised Domain Ada...
with: Sun, X.: AdaMML: Adaptive Multi-Modal Learning for Efficient Video Rec...
with: Sun, X.: DualCoOp++: Fast and Effective Adaptation to Multi-Label Reco...
with: Sun, X.: Dynamic Network Quantization for Efficient Video Inference
with: Sun, X.: Improved Techniques for Quantizing Deep Networks with Adaptiv...
with: Sun, X.: TwoStreamVAN: Improving Motion Modeling in Video Generation
with: Sun, X.M.: DIME-FM: DIstilling Multimodal and Efficient Foundation Mod...
with: Tagliasacchi, A.: MetaPose: Fast 3D Pose from Multiple Views without 3...
with: Tan, R.: Language Features Matter: Effective Language Representations ...
with: Tan, R.: Language-Guided Audio-Visual Source Separation via Trimodal C...
with: Tan, R.: Learning Similarity Conditions Without Explicit Supervision
with: Tan, R.: LoGAN: Latent Graph Co-Attention Network for Weakly-Supervise...
with: Tan, R.: NewsStories: Illustrating Articles with Visual Summaries
with: Taniguchi, Y.: Weakly Supervised Domain Adaptation using Super-pixel l...
with: Teterwak, P.: Learning to Compose SuperWeights for Neural Parameter Al...
with: Teterwak, P.: Tune it the Right Way: Unsupervised Validation of Domain...
with: Tsai, Y.H.: Learning Cross-Modal Contrastive Features for Video Domain...
with: Tuytelaars, T.: NBNN kernel, The
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with: Tzeng, E.: Simultaneous Deep Transfer Across Domains and Tasks
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with: Usman, B.: Evaluation of Correctness in Unsupervised Many-to-Many Imag...
with: Usman, B.: MetaPose: Fast 3D Pose from Multiple Views without 3D Super...
with: Usman, B.: PuppetGAN: Cross-Domain Image Manipulation by Demonstration
with: Usman, B.: RIFT: Disentangled Unsupervised Image Translation via Restr...
with: Usman, B.: VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adap...
with: Varshney, A.: Semi-Supervised Action Recognition with Temporal Contras...
with: Vasileva, M.: Learning Similarity Conditions Without Explicit Supervis...
with: Vasileva, M.I.: Why Do These Match? Explaining the Behavior of Image S...
with: Venugopalan, S.: Captioning Images with Diverse Objects
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with: Venugopalan, S.: Long-Term Recurrent Convolutional Networks for Visual...
with: Venugopalan, S.: Sequence to Sequence -- Video to Text
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with: Volpi, R.: Explainable Deep Classification Models for Domain Generaliz...
with: Wang, B.: Moment Matching for Multi-Source Domain Adaptation
with: Wang, D.: VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adapt...
with: Wang, G.: DIPNet: Dynamic Identity Propagation Network for Video Objec...
with: Wang, K.: Broad Study of Pre-training for Domain Generalization and Ad...
with: Wang, K.H.: Unified Framework for Domain Adaptive Pose Estimation, A
with: Wang, N.: Improved Techniques for Quantizing Deep Networks with Adapti...
with: Whitehead, S.: Separating Skills and Concepts for Novel Visual Questio...
with: Wijaya, D.: Learning to Scale Multilingual Representations for Vision-...
with: Wilson, K.: Visual Speech Recognition with Loosely Synchronized Featur...
with: Wu, H.: Separating Skills and Concepts for Novel Visual Question Answe...
with: Xia, X.: DIME-FM: DIstilling Multimodal and Efficient Foundation Models
with: Xia, X.: Moment Matching for Multi-Source Domain Adaptation
with: Xiong, Y.: From pixels to physics: Probabilistic color de-rendering
with: Xiong, Y.: Learning object color models from multi-view constraints
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with: Xu, H.: TwoStreamVAN: Improving Motion Modeling in Video Generation
with: Xu, H.J.: Ask, Attend and Answer: Exploring Question-Guided Spatial At...
with: Xu, H.J.: Joint Event Detection and Description in Continuous Video St...
with: Xu, H.J.: LoGAN: Latent Graph Co-Attention Network for Weakly-Supervis...
with: Xu, H.J.: R-C3D: Region Convolutional 3D Network for Temporal Activity...
with: Xu, H.J.: Temporal Action Detection with Multi-level Supervision
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with: Xu, H.Z.: Natural Language Object Retrieval
with: Xu, K.: Revisiting Image-Language Networks for Open-Ended Phrase Detec...
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with: Yu, S.X.: Ground2sky label transfer for fine-grained aerial car recogn...
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with: Zellers, R.: Abduction of Sherlock Holmes: A Dataset for Visual Abduct...
with: Zhai, X.H.: Guest Editorial: Special Issue on the Promises and Dangers...
with: Zhang, J.: Top-Down Visual Saliency Guided by Captions
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with: Zhang, J.M.: Guided Zoom: Zooming into Network Evidence to Refine Fine...
with: Zhang, L.: Many-to-many Splatting for Efficient Video Frame Interpolat...
with: Zhang, L.: Video Frame Interpolation With Many-to-Many Splatting and S...
with: Zhang, P.C.: DIME-FM: DIstilling Multimodal and Efficient Foundation M...
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453 for Saenko, K.
Saenz de Cabezon, E.
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with: Mohammadi, F.: Efficient multicut enumeration of k-out-of-n:F and cons...
with: Wynn, H.P.: Efficient multicut enumeration of k-out-of-n:F and consecu...
Saenz Gamboa, J.J.
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with: Gomez, J.A.: Automatic Semantic Segmentation of Structural Elements re...
Saenz Lechon, N.
Standard Author Listing
with: Arias Londono, J.D.: improved method for voice pathology detection by ...
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with: Osma Ruiz, V.: P2P Multiuser Low-Cost Universal Solution for On-Demand...
12 for Saenz Lechon, N.
Saenz Morales, G.D.
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with: Lopez Yanez, I.: Analysis and Prediction of Air Quality Data with the ...
with: Yanez Marquez, C.: Analysis and Prediction of Air Quality Data with th...
Saenz, A.
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with: Diez, A.: Fusion and Optimization of LIDAR and Photogrammetric Technol...
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with: Rodriguez, R.: Fusion and Optimization of LIDAR and Photogrammetric Te...
Saenz, C.
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with: Alberdi, C.: Number of Linearly Independent Vectors in Spectral Databa...
with: Alfonso, S.: Number of Linearly Independent Vectors in Spectral Databa...
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12 for Saenz, C.
Saenz, E.
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Saenz, H.
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with: Sun, H.M.: Detecting phone-related pedestrian distracted behaviours vi...
with: Wu, L.T.: Detecting phone-related pedestrian distracted behaviours via...
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with: Zhou, X.S.: Detecting phone-related pedestrian distracted behaviours v...
Saenz, J.
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with: Bessler Etten, J.: Online Toolkit for Applications Featuring Collabora...
with: Bidard, C.: Online Toolkit for Applications Featuring Collaborative Ro...
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with: Valori, M.: Online Toolkit for Applications Featuring Collaborative Ro...
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11 for Saenz, J.
Saenz, N.A.
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with: Arango, C.: Local Algorithm for Monitoring Total Suspended Sediments i...
with: Paez, D.E.: Local Algorithm for Monitoring Total Suspended Sediments i...