Index for saen

Saenen, I.[Ignace] Co Author Listing * Highly parallel steered mixture-of-experts rendering at pixel-level for image and light field data

Saengkyongam, S.[Sorawit] Co Author Listing * Invariant Policy Learning: A Causal Perspective

Saenko, K.[Kate] Co Author Listing * email: Saenko, K.[Kate]: saenko AT bu edu
* Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning, The
* Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
* AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
* Adapting Visual Category Models to New Domains
* Adversarial Discriminative Domain Adaptation
* Ar-net: Adaptive Frame Resolution for Efficient Action Recognition
* Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
* Asymmetric and Category Invariant Feature Transformations for Domain Adaptation
* Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
* Black-box Explanation of Object Detectors via Saliency Maps
* Broad Study of Pre-training for Domain Generalization and Adaptation, A
* Broader Study of Cross-domain Few-shot Learning, A
* Captioning Images with Diverse Objects
* category-level 3-D object dataset: Putting the Kinect to work, A
* CDS: Cross-Domain Self-supervised Pre-training
* Coco-funit: Few-shot Unsupervised Image Translation with a Content Conditioned Style Encoder
* combined pose, object, and feature model for action understanding, A
* Combining Texture and Shape Cues for Object Recognition with Minimal Supervision
* Confidence-Rated Multiple Instance Boosting for Object Detection
* Continuous Manifold Based Adaptation for Evolving Visual Domains
* Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility, A
* Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
* Deep CORAL: Correlation Alignment for Deep Domain Adaptation
* Detector discovery in the wild: Joint multiple instance and representation learning
* Detector-Free Weakly Supervised Grounding by Separation
* DIME-FM: DIstilling Multimodal and Efficient Foundation Models
* DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation
* Discovering Latent Domains for Multisource Domain Adaptation
* Domain2vec: Domain Embedding for Unsupervised Domain Adaptation
* DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations
* Dynamic Network Quantization for Efficient Video Inference
* Evaluation of Correctness in Unsupervised Many-to-Many Image Translation
* Explainable Deep Classification Models for Domain Generalization
* Explainable Neural Computation via Stack Neural Module Networks
* Fine-grained Angular Contrastive Learning with Coarse Labels
* Fine-to-coarse knowledge transfer for low-res image classification
* From pixels to physics: Probabilistic color de-rendering
* From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains
* Ground2sky label transfer for fine-grained aerial car recognition
* Guest Editorial: Image and Language Understanding
* Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models
* Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions
* Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths
* Joint Event Detection and Description in Continuous Video Streams
* Language Features Matter: Effective Language Representations for Vision-Language Tasks
* Language-Conditioned Graph Networks for Relational Reasoning
* Language-Guided Audio-Visual Source Separation via Trimodal Consistency
* Learning Cross-Modal Contrastive Features for Video Domain Adaptation
* Learning Deep Object Detectors from 3D Models
* Learning object color models from multi-view constraints
* Learning Similarity Conditions Without Explicit Supervision
* Learning to Compose SuperWeights for Neural Parameter Allocation Search
* Learning to Detect Every Thing in an Open World
* Learning to Reason: End-to-End Module Networks for Visual Question Answering
* Learning to Scale Multilingual Representations for Vision-Language Tasks
* Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation
* LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval
* Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
* Many-to-many Splatting for Efficient Video Frame Interpolation
* MaskSketch: Unpaired Structure-guided Masked Image Generation
* MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
* Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images
* Modeling Relationships in Referential Expressions with Compositional Modular Networks
* Moment Matching for Multi-Source Domain Adaptation
* Multistream Articulatory Feature-Based Models for Visual Speech Recognition
* Natural Language Object Retrieval
* NBNN kernel, The
* NewsStories: Illustrating Articles with Visual Summaries
* OVANet: One-vs-All Network for Universal Domain Adaptation
* Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
* Prefix Conditioning Unifies Language and Label Supervision
* PuppetGAN: Cross-Domain Image Manipulation by Demonstration
* R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
* Revisiting Image-Language Networks for Open-Ended Phrase Detection
* RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow
* Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
* Self-supervised Visual Attribute Learning for Fashion Compatibility
* Semi-Supervised Action Recognition with Temporal Contrastive Learning
* Semi-Supervised Domain Adaptation via Minimax Entropy
* Semi-supervised Domain Adaptation with Instance Constraints
* Separating Skills and Concepts for Novel Visual Question Answering
* Sequence to Sequence -- Video to Text
* Simultaneous Deep Transfer Across Domains and Tasks
* Spatial Semantic Regularisation for Large Scale Object Detection
* Strong-Weak Distribution Alignment for Adaptive Object Detection
* Subspace Distribution Alignment for Unsupervised Domain Adaptation
* Synthetic to Real Adaptation with Generative Correlation Alignment Networks
* Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
* Temporal Action Detection with Multi-level Supervision
* Top-Down Visual Saliency Guided by Captions
* Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
* Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
* Two-Stream Region Convolutional 3D Network for Temporal Activity Detection
* TwoStreamVAN: Improving Motion Modeling in Video Generation
* Unified Framework for Domain Adaptive Pose Estimation, A
* Unsupervised Domain Generalization by Learning a Bridge Across Domains
* Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement
* VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation
* Vision and Language Integration Meets Multimedia Fusion
* Visual Speech Recognition with Loosely Synchronized Feature Streams
* Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation
* What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
* Why Do These Match? Explaining the Behavior of Image Similarity Models
* Women Also Snowboard: Overcoming Bias in Captioning Models
* YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition
* ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
Includes: Saenko, K.[Kate] Saenko, K.
107 for Saenko, K.

Saenz de Cabezon, E.[Eduardo] Co Author Listing * 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] Co Author Listing * 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] Co Author Listing * improved method for voice pathology detection by means of a HMM-based feature space transformation, An
* improved watershed algorithm based on efficient computation of shortest paths, An
* P2P Multiuser Low-Cost Universal Solution for On-Demand GPS Positioning and Tracking in Large Environments
Includes: Saenz Lechon, N.[Nicolas] Saenz-Lechon, N.[Nicolas] Sáenz-Lechón, N.[Nicolás] Saenz-Lechon, N.

Saenz Morales, G.D.[Guadalupe De_la_Luz] Co Author Listing * 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. Co Author Listing * Fusion and Optimization of LIDAR and Photogrammetric Technologies and Methodologies for Cartographic Production
Includes: Saenz, A. Sáenz, A.

Saenz, C. Co Author Listing * Aerial Mapping and Multi-Sensors Approaches from Remote Sensing Applied to the Roman Archaeological Heritage
* Number of Linearly Independent Vectors in Spectral Databases, The
Includes: Saenz, C. Sáenz, C. Sáenz, C.[Carlos]

Saenz, E. Co Author Listing * Quality Assessment of Terrestrial Laser Scanner Ecosystem Observations Using Pulse Trajectories

Saenz, H.[Humberto] Co Author Listing * Detecting phone-related pedestrian distracted behaviours via a two-branch convolutional neural network

Saenz, J.[Jose] Co Author Listing * Online Toolkit for Applications Featuring Collaborative Robots Across Different Domains, An
Includes: Saenz, J.[Jose] Saenz, J.[José]

Saenz, N.A. Co Author Listing * 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.

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