Saenen, I.[Ignace]
* 2020: Highly parallel steered mixture-of-experts rendering at pixel-level for image and light field data
Saengkyongam, S.[Sorawit]
* 2023: Invariant Policy Learning: A Causal Perspective
Saenko, K.[Kate]
* 2005: Visual Speech Recognition with Loosely Synchronized Feature Streams
* 2009: Multistream Articulatory Feature-Based Models for Visual Speech Recognition
* 2010: Adapting Visual Category Models to New Domains
* 2011: category-level 3-D object dataset: Putting the Kinect to work, A
* 2011: Learning object color models from multi-view constraints
* 2011: NBNN kernel, The
* 2011: What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
* 2012: combined pose, object, and feature model for action understanding, A
* 2012: Discovering Latent Domains for Multisource Domain Adaptation
* 2012: From pixels to physics: Probabilistic color de-rendering
* 2013: Semi-supervised Domain Adaptation with Instance Constraints
* 2013: YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition
* 2014: Asymmetric and Category Invariant Feature Transformations for Domain Adaptation
* 2014: Confidence-Rated Multiple Instance Boosting for Object Detection
* 2014: Continuous Manifold Based Adaptation for Evolving Visual Domains
* 2014: From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains
* 2014: Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images
* 2015: Detector discovery in the wild: Joint multiple instance and representation learning
* 2015: Learning Deep Object Detectors from 3D Models
* 2015: Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
* 2015: Sequence to Sequence -- Video to Text
* 2015: Simultaneous Deep Transfer Across Domains and Tasks
* 2015: Spatial Semantic Regularisation for Large Scale Object Detection
* 2015: Subspace Distribution Alignment for Unsupervised Domain Adaptation
* 2016: Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
* 2016: Combining Texture and Shape Cues for Object Recognition with Minimal Supervision
* 2016: Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
* 2016: Deep CORAL: Correlation Alignment for Deep Domain Adaptation
* 2016: Fine-to-coarse knowledge transfer for low-res image classification
* 2016: Natural Language Object Retrieval
* 2017: Adversarial Discriminative Domain Adaptation
* 2017: Captioning Images with Diverse Objects
* 2017: Ground2sky label transfer for fine-grained aerial car recognition
* 2017: Guest Editorial: Image and Language Understanding
* 2017: Learning to Reason: End-to-End Module Networks for Visual Question Answering
* 2017: Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
* 2017: Modeling Relationships in Referential Expressions with Compositional Modular Networks
* 2017: R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
* 2017: Top-Down Visual Saliency Guided by Captions
* 2018: Explainable Neural Computation via Stack Neural Module Networks
* 2018: Synthetic to Real Adaptation with Generative Correlation Alignment Networks
* 2018: Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
* 2018: VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation
* 2018: Vision and Language Integration Meets Multimedia Fusion
* 2018: Women Also Snowboard: Overcoming Bias in Captioning Models
* 2019: Joint Event Detection and Description in Continuous Video Streams
* 2019: Joint Event Detection and Description in Continuous Video Streams
* 2019: Language Features Matter: Effective Language Representations for Vision-Language Tasks
* 2019: Language-Conditioned Graph Networks for Relational Reasoning
* 2019: Learning Similarity Conditions Without Explicit Supervision
* 2019: Moment Matching for Multi-Source Domain Adaptation
* 2019: PuppetGAN: Cross-Domain Image Manipulation by Demonstration
* 2019: Semi-Supervised Domain Adaptation via Minimax Entropy
* 2019: Strong-Weak Distribution Alignment for Adaptive Object Detection
* 2019: Two-Stream Region Convolutional 3D Network for Temporal Activity Detection
* 2020: Ar-net: Adaptive Frame Resolution for Efficient Action Recognition
* 2020: Broader Study of Cross-domain Few-shot Learning, A
* 2020: Coco-funit: Few-shot Unsupervised Image Translation with a Content Conditioned Style Encoder
* 2020: DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation
* 2020: Domain2vec: Domain Embedding for Unsupervised Domain Adaptation
* 2020: Learning to Scale Multilingual Representations for Vision-Language Tasks
* 2020: TwoStreamVAN: Improving Motion Modeling in Video Generation
* 2020: Why Do These Match? Explaining the Behavior of Image Similarity Models
* 2021: Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
* 2021: AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
* 2021: Black-box Explanation of Object Detectors via Saliency Maps
* 2021: CDS: Cross-Domain Self-supervised Pre-training
* 2021: Detector-Free Weakly Supervised Grounding by Separation
* 2021: Dynamic Network Quantization for Efficient Video Inference
* 2021: Explainable Deep Classification Models for Domain Generalization
* 2021: Fine-grained Angular Contrastive Learning with Coarse Labels
* 2021: Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions
* 2021: Learning Cross-Modal Contrastive Features for Video Domain Adaptation
* 2021: LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval
* 2021: OVANet: One-vs-All Network for Universal Domain Adaptation
* 2021: Self-supervised Visual Attribute Learning for Fashion Compatibility
* 2021: Semi-Supervised Action Recognition with Temporal Contrastive Learning
* 2021: Separating Skills and Concepts for Novel Visual Question Answering
* 2021: Temporal Action Detection with Multi-level Supervision
* 2021: Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
* 2021: Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation
* 2022: Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning, The
* 2022: Broad Study of Pre-training for Domain Generalization and Adaptation, A
* 2022: Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility, A
* 2022: Evaluation of Correctness in Unsupervised Many-to-Many Image Translation
* 2022: Learning to Detect Every Thing in an Open World
* 2022: Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation
* 2022: Many-to-many Splatting for Efficient Video Frame Interpolation
* 2022: MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
* 2022: NewsStories: Illustrating Articles with Visual Summaries
* 2022: Revisiting Image-Language Networks for Open-Ended Phrase Detection
* 2022: Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
* 2022: Unified Framework for Domain Adaptive Pose Estimation, A
* 2022: Unsupervised Domain Generalization by Learning a Bridge Across Domains
* 2022: ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
* 2023: Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
* 2023: DIME-FM: DIstilling Multimodal and Efficient Foundation Models
* 2023: Language-Guided Audio-Visual Source Separation via Trimodal Consistency
* 2023: MaskSketch: Unpaired Structure-guided Masked Image Generation
* 2023: Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
* 2023: Prefix Conditioning Unifies Language and Label Supervision
* 2023: RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow
* 2023: Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
* 2024: DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations
* 2024: Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models
* 2024: Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths
* 2024: Learning to Compose SuperWeights for Neural Parameter Allocation Search
* 2024: Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement
Includes: Saenko, K.[Kate] Saenko, K.
108 for Saenko, K.
Saenz de Cabezon, E.[Eduardo]
* 2018: Efficient multicut enumeration of k-out-of-n:F and consecutive k-out-of-n:F systems
Includes: Saenz de Cabezon, E.[Eduardo] Sáenz-de-Cabezón, E.[Eduardo]
Saenz Gamboa, J.J.[Jhon Jairo]
* 2021: Automatic Semantic Segmentation of Structural Elements related to the Spinal Cord in the Lumbar Region by using Convolutional Neural Networks
Includes: Saenz Gamboa, J.J.[Jhon Jairo] Saenz-Gamboa, J.J.[Jhon Jairo]
Saenz Lechon, N.[Nicolas]
* 2007: improved watershed algorithm based on efficient computation of shortest paths, An
* 2010: improved method for voice pathology detection by means of a HMM-based feature space transformation, An
* 2011: P2P Multiuser Low-Cost Universal Solution for On-Demand GPS Positioning and Tracking in Large Environments
Includes: Saenz Lechon, N.[Nicolas] Sáenz-Lechón, N.[Nicolás] Saenz-Lechon, N.[Nicolas] Saenz-Lechon, N.
Saenz Morales, G.D.[Guadalupe De_la_Luz]
* 2008: Analysis and Prediction of Air Quality Data with the Gamma Classifier
Includes: Saenz Morales, G.D.[Guadalupe De_la_Luz] Sáenz Morales, G.D.[Guadalupe De_la_Luz]
Saenz, A.
* 2008: Fusion and Optimization of LIDAR and Photogrammetric Technologies and Methodologies for Cartographic Production
Includes: Saenz, A. Sáenz, A.
Saenz, C.[Carlos]
* 2009: Number of Linearly Independent Vectors in Spectral Databases, The
* 2015: Aerial Mapping and Multi-Sensors Approaches from Remote Sensing Applied to the Roman Archaeological Heritage
Includes: Saenz, C.[Carlos] Sáenz, C.[Carlos] Sáenz, C.
Saenz, E.
* 2018: Quality Assessment of Terrestrial Laser Scanner Ecosystem Observations Using Pulse Trajectories
Saenz, H.[Humberto]
* 2021: Detecting phone-related pedestrian distracted behaviours via a two-branch convolutional neural network
Saenz, J.[Jose]
* 2023: Online Toolkit for Applications Featuring Collaborative Robots Across Different Domains, An
Includes: Saenz, J.[Jose] Saenz, J.[José]
Saenz, N.A.
* 2015: Local Algorithm for Monitoring Total Suspended Sediments in Micro-Watersheds Usin Drones and Remote Sensing Applications. Case Study: Teusacá River, La Calera, Colombia
Includes: Saenz, N.A. Sáenz, N.A.