Feria, B.H.[Brian H.]
* 1987: Linear predictive transform of monochrome images
Feria, E.H.
* 1984: Composite NTSC Color Video Bandwidth Compressor, A
* 1998: Predictive-transform residual vector quantization
* 1999: Super Predictive-Transform Residual Vector Quantization
* 2014: Maximizing the efficiency and affordability of high-performance radar
Includes: Feria, E.H. Feria, E.H.[Erlan H.]
Ferianc, M.[Martin]
* 2023: MIMMO: Multi-Input Massive Multi-Output Neural Network
Ferilli, S.
* 2004: Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation
* 2005: Intelligent document processing
* 2006: Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques
* 2007: Incremental Learning of First Order Logic Theories for the Automatic Annotations of Web Documents
* 2008: Incremental machine learning techniques for document layout understanding
* 2009: Distance-Based Technique for Non-Manhattan Layout Analysis, A
* 2011: Automatic Digital Document Processing and Management: Problems, Algorithms and Techniques
* 2011: Contour-Based Progressive Technique for Shape Recognition, A
* 2013: Finding Critical Cells in Web Tables with SRL: Trying to Uncover the Devil's Tease
Includes: Ferilli, S. Ferilli, S.[Stefano]
9 for Ferilli, S.
Ferin, G.
* 2020: 4D Functional Imaging of the Rat Brain Using a Large Aperture Row-Column Array
Includes: Ferin, G. Férin, G.
Feriozzi, R.
* 2019: Virtual Tours for Smart Cities: A Comparative Photogrammetric Approach For Locating Hot-spots in Spherical Panoramas
Feris, R.
* 2018: BlockDrop: Dynamic Inference Paths in Residual Networks
* 2020: Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
* 2020: Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
* 2020: Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors
* 2020: Video Instance Segmentation Tracking With a Modified VAE Architecture
* 2024: Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths
Includes: Feris, R. Feris, R.[Rogerio]
Feris, R.S.[Rogerio S.]
* 1900: VALHALLA: Visual multimodal-conditioned generation
* 2002: Hierarchical wavelet networks for facial feature localization
* 2002: TLA Based Face Tracking
* 2003: Active Wavelet Networks for Face Alignment
* 2003: Manifold of facial expression
* 2003: Real-time view-based face alignment using active wavelet networks
* 2004: Exploiting Depth Discontinuities for Vision-Based Fingerspelling Recognition
* 2004: Manifold Based Analysis of Facial Expression
* 2004: Probabilistic expression analysis on manifolds
* 2004: wavelet subspace method for real-time face tracking, A
* 2005: Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination
* 2005: Face Verification in Polar Frequency Domain: A Biologically Motivated Approach
* 2006: Isometric Self-Organizing Map for 3D Hand Pose Estimation, The
* 2006: Local approach for face verification in polar frequency domain
* 2006: Manifold Based Analysis of Facial Expression
* 2006: Multi-view Appearance-based 3D Hand Pose Estimation
* 2007: Capturing People in Surveillance Video
* 2007: Searching surveillance video
* 2007: Video analytics for retail
* 2008: Characterizing the shadow space of camera-light pairs
* 2008: Efficient partial shape matching using Smith-Waterman algorithm
* 2008: Facial image analysis using local feature adaptation prior to learning
* 2008: Integrated System for Moving Object Classification in Surveillance Videos, An
* 2008: Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination
* 2008: Real-Time Detection of Abandoned and Removed Objects in Complex Environments
* 2009: Attribute-based people search in surveillance environments
* 2009: projector-camera setup for geometry-invariant frequency demultiplexing, A
* 2009: Shape classification through structured learning of matching measures
* 2009: Video Analytics in Urban Environments
* 2010: Unsupervised Action Classification Using Space-Time Link Analysis
* 2011: Attribute-based vehicle search in crowded surveillance videos
* 2011: Hierarchical ranking of facial attributes
* 2011: Image ranking and retrieval based on multi-attribute queries
* 2011: Large-scale vehicle detection in challenging urban surveillance environments
* 2011: Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos
* 2012: Appearance modeling for person re-identification using Weighted Brightness Transfer Functions
* 2012: Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos
* 2012: Unsupervised model selection for view-invariant object detection in surveillance environments
* 2013: Boosting object detection performance in crowded surveillance videos
* 2013: Designing Category-Level Attributes for Discriminative Visual Recognition
* 2013: Domain adaptive object detection
* 2013: Efficient Maximum Appearance Search for Large-Scale Object Detection
* 2013: Fast Face Detector Training Using Tailored Views
* 2013: Hierarchical Feature Pooling with Structure Learning: A New Method for Pedestrian Detection
* 2014: Appearance-Based Object Detection Under Varying Environmental Conditions
* 2014: Edge-Guided Single Depth Image Super Resolution
* 2014: Fusing well-crafted feature descriptors for efficient fine-grained classification
* 2014: spatial-color layout feature for representing galaxy images, A
* 2014: Temporal Non-maximum Suppression for Pedestrian Detection Using Self-Calibration
* 2015: Automated Axon Segmentation from Highly Noisy Microscopic Videos
* 2015: Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network
* 2015: Deep domain adaptation for describing people based on fine-grained clothing attributes
* 2015: Efficient 24/7 object detection in surveillance videos
* 2015: Exploration of Parameter Redundancy in Deep Networks with Circulant Projections, An
* 2015: Fine registration of 3D point clouds fusing structural and photometric information using an RGB-D camera
* 2015: Joint Super Resolution and Denoising From a Single Depth Image
* 2016: Edge-Guided Single Depth Image Super Resolution
* 2016: Recurrent Encoder-Decoder Network for Sequential Face Alignment, A
* 2016: Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection, A
* 2016: Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
* 2017: Automatic Curation of Golf Highlights Using Multimodal Excitement Features
* 2017: Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
* 2017: S3Pool: Pooling with Stochastic Spatial Sampling
* 2018: Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
* 2018: Learning to Separate Object Sounds by Watching Unlabeled Video
* 2018: RED-Net: A Recurrent Encoder-Decoder Network for Video-Based Face Alignment
* 2018: Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
* 2019: Automatic Curation of Sports Highlights Using Multimodal Excitement Features
* 2019: LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
* 2019: Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection
* 2019: RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
* 2019: SpotTune: Transfer Learning Through Adaptive Fine-Tuning
* 2019: Video-Text Compliance: Activity Verification Based on Natural Language Instructions
* 2020: Ar-net: Adaptive Frame Resolution for Efficient Action Recognition
* 2020: Broader Study of Cross-domain Few-shot Learning, A
* 2020: Onlineaugment: Online Data Augmentation with Less Domain Knowledge
* 2020: Tafssl: Task-adaptive Feature Sub-space Learning for Few-shot Classification
* 2020: We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos
* 2021: AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
* 2021: Broad Study on the Transferability of Visual Representations with Contrastive Learning, A
* 2021: Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
* 2021: Detector-Free Weakly Supervised Grounding by Separation
* 2021: Dynamic Network Quantization for Efficient Video Inference
* 2021: Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
* 2021: Fine-grained Angular Contrastive Learning with Coarse Labels
* 2021: MetAdapt: Meta-learned task-adaptive architecture for few-shot classification
* 2021: Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
* 2021: Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection
* 2021: Semi-Supervised Action Recognition with Temporal Contrastive Learning
* 2021: Separating Skills and Concepts for Novel Visual Question Answering
* 2021: Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions
* 2022: Baby steps towards few-shot learning with multiple semantics
* 2022: Everything at Once - Multi-modal Fusion Transformer for Video Retrieval
* 2022: Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
* 2022: Sim VQA: Exploring Simulated Environments for Visual Question Answering
* 2022: Targeted Supervised Contrastive Learning for Long-Tailed Recognition
* 2022: Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
* 2022: Unsupervised Domain Generalization by Learning a Bridge Across Domains
* 2023: Addressing Feature Suppression in Unsupervised Visual Representations
* 2023: CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation
* 2023: CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
* 2023: ConStruct-VL: Data-Free Continual Structured VL Concepts Learning*
* 2023: Going Beyond Nouns With Vision & Language Models Using Synthetic Data
* 2023: MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
* 2023: Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
* 2023: Teaching Structured Vision and Language Concepts to Vision and Language Models
Includes: Feris, R.S.[Rogerio S.] Feris, R.S. Feris, R.S.[Rogerio Schmidt]
106 for Feris, R.S.