Poria, S.[Soujanya]
Co Author Listing * Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
* Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines
* OntoSenticNet: A Commonsense Ontology for Sentiment Analysis
* PIP: Physical Interaction Prediction via Mental Simulation with Span Selection
Includes: Poria, S.[Soujanya] Poria, S.
Porikli, F.M.[Fatih M.]
Co Author Listing * Home Page.
* email: Porikli, F.M.[Fatih M.]: fatih porikli AT nicta com au
* 4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
* Accurate Detection of Edge Orientation for Color and Multi-spectral Imagery
* Achieving real-time object detection and tracking under extreme conditions
* Adaptive Siamese Tracking With a Compact Latent Network
* Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification
* Automatic Refinement Strategies for Manual Initialization of Object Trackers
* Automatic threshold determination of centroid-linkage region growing by MPEG-7 dominant color descriptors
* AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
* Bayesian Approach to Background Modeling, A
* Bayesian background modeling for foreground detection
* Beyond Feature Integration: A Coarse-to-Fine Framework for Cascade Correlation Tracking
* Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals
* Boosting adaptive linear weak classifiers for online learning and tracking
* Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
* Bregman Divergences for Infinite Dimensional Covariance Matrices
* Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces
* Cascade residuals guided nonlinear dictionary learning
* Category-Specific Object Image Denoising
* CDnet 2014: An Expanded Change Detection Benchmark Dataset
* Changedetection.net: A new change detection benchmark dataset
* Class-Specific Image Deblurring
* Classification and Boosting with Multiple Collaborative Representations
* Clnet: A Compact Latent Network for Fast Adjusting Siamese Trackers
* comparison of methods for non-rigid 3D shape retrieval, A
* Component Attention Guided Face Super-Resolution Network: CAGFace
* Comprehensive Evaluation Framework and a Comparative Study for Human Detectors, A
* Compressed Domain Video Object Segmentation
* Concentric ring signature descriptor for 3D objects
* Connecting the dots in multi-class classification: From nearest subspace to collaborative representation
* Consistency and Diversity Induced Human Motion Segmentation
* Constant time O(1) bilateral filtering
* Convolutional neural net bagging for online visual tracking
* Correspondence Driven Saliency Transfer
* Counting people by clustering person detector outputs
* Covariance Tracking using Model Update Based on Lie Algebra
* CrossTrack: Robust 3D tracking from two cross-sectional views
* Data driven frequency mapping for computationally scalable object detection
* Deep ancient Roman Republican coin classification via feature fusion and attention
* Deep Learning for Visual Understanding
* Deep Learning for Visual Understanding: Part 2
* Deep Salient Object Detection by Integrating Multi-level Cues
* Deep tracking with objectness
* Deeper Look at Power Normalizations, A
* DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking
* DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
* DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
* Delta Distillation for Efficient Video Processing
* Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps
* Detecting 3D geometric boundaries of indoor scenes under varying lighting
* Detecting and Tracking Unknown Number of Objects with Dirichlet Process Mixture Models and Markov Random Fields
* Detecting roads in aerial images using feature-based classifiers
* Detection and characterization of Intrinsic symmetry of 3D shapes
* Detection of temporarily static regions by processing video at different frame rates
* DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow
* Discriminative feature learning from big data for visual recognition
* DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
* Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors
* Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
* Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking
* Efficient Action Recognition via Dynamic Knowledge Propagation
* Efficient neural supersampling on a novel gaming dataset
* EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation
* End-to-End Feature Integration for Correlation Filter Tracking With Channel Attention
* Enforcing Point-wise Priors on Binary Segmentation
* Estimation of contour motion and deformation for nonrigid object tracking
* Event Detection by Eigenvector Decomposition Using Object and Frame Features
* Face Destylization
* Face Super-Resolution Guided by Facial Component Heatmaps
* Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
* Fast Construction of Covariance Matrices for Arbitrary Size Image Windows
* Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework
* Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification
* Feature mask network for person re-identification
* Finetuning Convolutional Neural Networks for visual aesthetics
* Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks
* Geometric Sequence (GS) imaging with Bayesian smoothing for optical and capacitive imaging sensors
* Going deeper into action recognition: A survey
* Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis
* Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks
* Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders
* Harmonic Variance: A Novel Measure for In-focus Segmentation
* hidden markov model framework for traffic event detection using video features, A
* Higher Order Energies for Image Segmentation
* Human Detection via Classification on Riemannian Manifolds
* Human State Classification and Predication for Critical Care Monitoring by Real-Time Bio-signal Analysis
* Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning
* Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
* Identity Enhanced Residual Image Denoising
* Identity-Preserving Face Recovery from Portraits
* Identity-Preserving Face Recovery from Stylized Portraits
* Image Deblurring with a Class-Specific Prior
* Image Segmentation Using Deep Learning: A Survey
* Image set classification by symmetric positive semi-definite matrices
* Imagining the Unimaginable Faces by Deconvolutional Networks
* Imposing Consistency for Optical Flow Estimation
* In-vehicle camera traffic sign detection and recognition
* Instance-Aware Detailed Action Labeling in Videos
* Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces
* Integrated deep and shallow networks for salient object detection
* Inter-camera color calibration by correlation model function
* Introduction to the Special Section on Deep Learning for Visual Surveillance
* InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
* IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes
* Joint Discriminative Bayesian Dictionary and Classifier Learning
* Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation
* Kernel integral images: A framework for fast non-uniform filtering
* Kernel methods for weakly supervised mean shift clustering
* Knowledge memorization and generation for action recognition in still images
* Learning an Invariant Hilbert Space for Domain Adaptation
* Learning Implicit Feature Alignment Function for Semantic Segmentation
* Learning on lie groups for invariant detection and tracking
* Learning Spatial Transforms for Refining Object Segment Proposals
* Learning target-aware correlation filters for visual tracking
* Learning to Generate Object Segment Proposals with Multi-modal Cues
* Less Is More: Towards Compact CNNs
* Lie-Struck: Affine Tracking on Lie Groups Using Structured SVM
* LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement
* Likelihood Map Fusion for Visual Object Tracking
* Linearization to Nonlinear Learning for Visual Tracking
* Local Gradients Smoothing: Defense Against Localized Adversarial Attacks
* Machine learning for big visual analysis
* MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
* Material Classification on Symmetric Positive Definite Manifolds
* Model-Free Multiple Object Tracking with Shared Proposals
* More about VLAD: A leap from Euclidean to Riemannian manifolds
* Multi-class active learning for image classification
* Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation
* Multimedia Quality Assessment
* Multiplicative Background-Foreground Estimation Under Uncontrolled Illumination using Intrinsic Images
* Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond
* New Approach for In-Vehicle Camera Traffic Sign Detection and Recognition, A
* No fuss metric learning, a Hilbert space scenario
* Nonlinear warping function recovery by scan-line search using dynamic programming
* Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters
* Novel Performance Evaluation Methodology for Single-Target Trackers, A
* Novel Video Dataset for Change Detection Benchmarking, A
* Object detection via boosted deformable features
* Object Segmentation of Color Video Sequences
* Object-Aware Dictionary Learning with Deep Features
* On Generating Transferable Targeted Perturbations
* One-Shot Action Localization by Learning Sequence Matching Network
* Online Adaptive Personalization for Face Anti-Spoofing
* Optimal Couple Projections for Domain Adaptive Sparse Representation-Based Classification
* Ordered Pooling of Optical Flow Sequences for Action Recognition
* Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
* PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
* Pedestrian Detection via Classification on Riemannian Manifolds
* Perceptual Consistency in Video Segmentation
* Performance Evaluation of Event Detection Solutions: The CREDS Experience
* Personalized Benchmark for Face Anti-spoofing, A
* Phase Selective Convolution
* Pushing the Limits of Deep CNNs for Pedestrian Detection
* Quadruplet Network With One-Shot Learning for Fast Visual Object Tracking
* QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms
* Real-Time Deep Tracking via Corrective Domain Adaptation
* Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device
* Recovering Faces From Portraits with Auxiliary Facial Attributes
* Region Covariance: A Fast Descriptor for Detection and Classification
* Regressed Importance Sampling on Manifolds for Efficient Object Tracking
* RelCom: Relational combinatorics features for rapid object detection
* Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework
* Robust Object Tracking Using Manifold Regularized Convolutional Neural Networks
* Robust Online Visual Tracking with a Single Convolutional Neural Network
* Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-Rank Matrices
* Robust Video Object Cosegmentation
* Robust Visual Tracking with Deep Convolutional Neural Network Based Object Proposals on PETS
* Saliency Integration: An Arbitrator Model
* Saliency-aware geodesic video object segmentation
* Saliency-Aware Video Object Segmentation
* SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection
* Scalable Active Learning for Multiclass Image Classification
* Scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks
* Scene Categorization with Spectral Features
* Scene-Adaptive Human Detection with Incremental Active Learning
* See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks
* Selective Video Object Cutout
* Self-supervised Approach for Adversarial Robustness, A
* Semantic context and depth-aware object proposal generation
* Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
* Semi-Supervised Video Object Segmentation with Super-Trajectories
* Shadow Flow: A Recursive Method to Learn Moving Cast Shadows
* Shape-Regulated Particle Filtering for Tracking Non-Rigid Objects
* SHREC'11 Track: Shape Retrieval On Non-Rigid 3d Watertight Meshes
* Simple and Efficient Architectures for Semantic Segmentation
* Simultaneous Stereo Video Deblurring and Scene Flow Estimation
* Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition
* Sparse Coding on Cascaded Residuals
* Sparse Dictionaries for Semantic Segmentation
* Special issue on car navigation and vehicle systems
* Special issue on dynamic textures in video
* Stripe Mesh Based Disparity Estimation by Using 3D Hough Transform
* Stylized Adversarial Defense
* Super-resolving Noisy Images
* Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
* Super-Trajectory for Video Segmentation
* Support Vector Shape: A Classifier-Based Shape Representation
* Survey on Deep Learning Technique for Video Segmentation, A
* Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons
* Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation
* Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, The
* Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes
* Ultra-Resolving Face Images by Discriminative Generative Networks
* Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors
* Underwater scene prior inspired deep underwater image and video enhancement
* Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning, A
* Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss
* Unsupervised Multi-resolution Object Extraction Algorithm Using Video-cube, An
* Video Analytics for Business Intelligence
* Video Representation Learning Using Discriminative Pooling
* Video Saliency Detection via Sparsity-Based Reconstruction and Propagation
* Video Surveillance: Past, Present, and Now the Future
* Visual Object Tracking VOT2013 Challenge Results, The
* Visual Object Tracking VOT2016 Challenge Results, The
* Visual Tracking by Sampling in Part Space
* Visual Tracking Under Motion Blur
* When Correlation Filters Meet Siamese Networks for Real-Time Complementary Tracking
* When VLAD Met Hilbert
* X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation
* X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection
* Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts
* Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
Includes: Porikli, F.M.[Fatih M.] Porikli, F.M. Porikli, F.M.[Fatih Murat]
223 for Porikli, F.M.
Porinelli, R.
Co Author Listing * Use of a Dictionary in Conjunction with a Handwritten Texts Recognizer