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* Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation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