Poria, S.[Soujanya]
* 2018: Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines
* 2018: OntoSenticNet: A Commonsense Ontology for Sentiment Analysis
* 2022: PIP: Physical Interaction Prediction via Mental Simulation with Span Selection
* 2023: Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Includes: Poria, S.[Soujanya] Poria, S.
Porikli, F.M.
* 1997: Stripe Mesh Based Disparity Estimation by Using 3D Hough Transform
* 2001: Accurate Detection of Edge Orientation for Color and Multi-spectral Imagery
* 2001: Object Segmentation of Color Video Sequences
* 2001: Unsupervised Multi-resolution Object Extraction Algorithm Using Video-cube, An
* 2002: Automatic threshold determination of centroid-linkage region growing by MPEG-7 dominant color descriptors
* 2003: Inter-camera color calibration by correlation model function
* 2004: Event Detection by Eigenvector Decomposition Using Object and Frame Features
* 2004: hidden markov model framework for traffic event detection using video features, A
* 2004: Nonlinear warping function recovery by scan-line search using dynamic programming
* 2005: Bayesian Approach to Background Modeling, A
* 2005: Bayesian background modeling for foreground detection
* 2005: Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces
* 2005: Multiplicative Background-Foreground Estimation Under Uncontrolled Illumination using Intrinsic Images
* 2005: Performance Evaluation of Event Detection Solutions: The CREDS Experience
* 2005: Shadow Flow: A Recursive Method to Learn Moving Cast Shadows
* 2006: Achieving real-time object detection and tracking under extreme conditions
* 2006: Covariance Tracking using Model Update Based on Lie Algebra
* 2006: Fast Construction of Covariance Matrices for Arbitrary Size Image Windows
* 2006: Region Covariance: A Fast Descriptor for Detection and Classification
* 2006: Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework
* 2006: Shape-Regulated Particle Filtering for Tracking Non-Rigid Objects
* 2007: Detection of temporarily static regions by processing video at different frame rates
* 2007: Estimation of contour motion and deformation for nonrigid object tracking
* 2007: Human Detection via Classification on Riemannian Manifolds
* 2008: Boosting adaptive linear weak classifiers for online learning and tracking
* 2008: Constant time O(1) bilateral filtering
* 2008: Detecting roads in aerial images using feature-based classifiers
* 2008: Kernel integral images: A framework for fast non-uniform filtering
* 2008: Learning on lie groups for invariant detection and tracking
* 2008: Likelihood Map Fusion for Visual Object Tracking
* 2008: Pedestrian Detection via Classification on Riemannian Manifolds
* 2009: Comprehensive Evaluation Framework and a Comparative Study for Human Detectors, A
* 2009: Geometric Sequence (GS) imaging with Bayesian smoothing for optical and capacitive imaging sensors
* 2009: Kernel methods for weakly supervised mean shift clustering
* 2009: Multi-class active learning for image classification
* 2009: New Approach for In-Vehicle Camera Traffic Sign Detection and Recognition, A
* 2009: Object detection via boosted deformable features
* 2009: Regressed Importance Sampling on Manifolds for Efficient Object Tracking
* 2010: Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
* 2010: Compressed Domain Video Object Segmentation
* 2010: Human State Classification and Predication for Critical Care Monitoring by Real-Time Bio-signal Analysis
* 2010: RelCom: Relational combinatorics features for rapid object detection
* 2010: Scene-Adaptive Human Detection with Incremental Active Learning
* 2011: Concentric ring signature descriptor for 3D objects
* 2011: CrossTrack: Robust 3D tracking from two cross-sectional views
* 2011: Data driven frequency mapping for computationally scalable object detection
* 2011: In-vehicle camera traffic sign detection and recognition
* 2011: Multimedia Quality Assessment
* 2011: SHREC'11 Track: Shape Retrieval On Non-Rigid 3d Watertight Meshes
* 2011: Special issue on dynamic textures in video
* 2012: Changedetection.net: A new change detection benchmark dataset
* 2012: Connecting the dots in multi-class classification: From nearest subspace to collaborative representation
* 2012: Scalable Active Learning for Multiclass Image Classification
* 2012: Video Analytics for Business Intelligence
* 2012: Video Surveillance: Past, Present, and Now the Future
* 2013: comparison of methods for non-rigid 3D shape retrieval, A
* 2013: Detecting and Tracking Unknown Number of Objects with Dirichlet Process Mixture Models and Markov Random Fields
* 2013: Harmonic Variance: A Novel Measure for In-focus Segmentation
* 2013: Support Vector Shape: A Classifier-Based Shape Representation
* 2013: Visual Object Tracking VOT2013 Challenge Results, The
* 2014: Bregman Divergences for Infinite Dimensional Covariance Matrices
* 2014: CDnet 2014: An Expanded Change Detection Benchmark Dataset
* 2014: Classification and Boosting with Multiple Collaborative Representations
* 2014: Counting people by clustering person detector outputs
* 2014: DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking
* 2014: Detecting 3D geometric boundaries of indoor scenes under varying lighting
* 2014: Novel Video Dataset for Change Detection Benchmarking, A
* 2014: Robust Online Visual Tracking with a Single Convolutional Neural Network
* 2014: Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-Rank Matrices
* 2014: Sparse Dictionaries for Semantic Segmentation
* 2014: Special issue on car navigation and vehicle systems
* 2014: Super-resolving Noisy Images
* 2015: Class-Specific Image Deblurring
* 2015: Discriminative feature learning from big data for visual recognition
* 2015: Enforcing Point-wise Priors on Binary Segmentation
* 2015: Lie-Struck: Affine Tracking on Lie Groups Using Structured SVM
* 2015: Linearization to Nonlinear Learning for Visual Tracking
* 2015: Material Classification on Symmetric Positive Definite Manifolds
* 2015: More about VLAD: A leap from Euclidean to Riemannian manifolds
* 2015: Robust Video Object Cosegmentation
* 2015: Saliency-aware geodesic video object segmentation
* 2016: Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification
* 2016: Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals
* 2016: Convolutional neural net bagging for online visual tracking
* 2016: Correspondence Driven Saliency Transfer
* 2016: DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
* 2016: Detection and characterization of Intrinsic symmetry of 3D shapes
* 2016: Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework
* 2016: Finetuning Convolutional Neural Networks for visual aesthetics
* 2016: Image set classification by symmetric positive semi-definite matrices
* 2016: Learning to Generate Object Segment Proposals with Multi-modal Cues
* 2016: Less Is More: Towards Compact CNNs
* 2016: Model-Free Multiple Object Tracking with Shared Proposals
* 2016: Novel Performance Evaluation Methodology for Single-Target Trackers, A
* 2016: Object-Aware Dictionary Learning with Deep Features
* 2016: Robust Visual Tracking with Deep Convolutional Neural Network Based Object Proposals on PETS
* 2016: Semantic context and depth-aware object proposal generation
* 2016: Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition
* 2016: Sparse Coding on Cascaded Residuals
* 2016: Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons
* 2016: Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, The
* 2016: Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes
* 2016: Ultra-Resolving Face Images by Discriminative Generative Networks
* 2016: Visual Object Tracking VOT2016 Challenge Results, The
* 2016: Visual Tracking Under Motion Blur
* 2016: When VLAD Met Hilbert
* 2017: Automatic Refinement Strategies for Manual Initialization of Object Trackers
* 2017: Category-Specific Object Image Denoising
* 2017: Deep Learning for Visual Understanding
* 2017: Deep Salient Object Detection by Integrating Multi-level Cues
* 2017: Deep tracking with objectness
* 2017: Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors
* 2017: Face Destylization
* 2017: Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks
* 2017: Going deeper into action recognition: A survey
* 2017: Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders
* 2017: Higher Order Energies for Image Segmentation
* 2017: Integrated deep and shallow networks for salient object detection
* 2017: Joint Discriminative Bayesian Dictionary and Classifier Learning
* 2017: Learning an Invariant Hilbert Space for Domain Adaptation
* 2017: Learning Spatial Transforms for Refining Object Segment Proposals
* 2017: No fuss metric learning, a Hilbert space scenario
* 2017: Optimal Couple Projections for Domain Adaptive Sparse Representation-Based Classification
* 2017: Ordered Pooling of Optical Flow Sequences for Action Recognition
* 2017: Scene Categorization with Spectral Features
* 2017: Selective Video Object Cutout
* 2017: Simultaneous Stereo Video Deblurring and Scene Flow Estimation
* 2017: Super-Trajectory for Video Segmentation
* 2017: Visual Tracking by Sampling in Part Space
* 2018: Cascade residuals guided nonlinear dictionary learning
* 2018: Deep Learning for Visual Understanding: Part 2
* 2018: Deeper Look at Power Normalizations, A
* 2018: Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps
* 2018: End-to-End Feature Integration for Correlation Filter Tracking With Channel Attention
* 2018: Face Super-Resolution Guided by Facial Component Heatmaps
* 2018: Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis
* 2018: Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning
* 2018: Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
* 2018: Identity-Preserving Face Recovery from Portraits
* 2018: Imagining the Unimaginable Faces by Deconvolutional Networks
* 2018: Instance-Aware Detailed Action Labeling in Videos
* 2018: LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement
* 2018: Machine learning for big visual analysis
* 2018: Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond
* 2018: Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters
* 2018: One-Shot Action Localization by Learning Sequence Matching Network
* 2018: Pushing the Limits of Deep CNNs for Pedestrian Detection
* 2018: Saliency-Aware Video Object Segmentation
* 2018: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
* 2018: Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning, A
* 2018: Video Representation Learning Using Discriminative Pooling
* 2018: Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
* 2019: Beyond Feature Integration: A Coarse-to-Fine Framework for Cascade Correlation Tracking
* 2019: Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification
* 2019: Identity-Preserving Face Recovery from Stylized Portraits
* 2019: Image Deblurring with a Class-Specific Prior
* 2019: Introduction to the Special Section on Deep Learning for Visual Surveillance
* 2019: Learning target-aware correlation filters for visual tracking
* 2019: Local Gradients Smoothing: Defense Against Localized Adversarial Attacks
* 2019: Quadruplet Network With One-Shot Learning for Fast Visual Object Tracking
* 2019: Real-Time Deep Tracking via Corrective Domain Adaptation
* 2019: Recovering Faces From Portraits with Auxiliary Facial Attributes
* 2019: Robust Object Tracking Using Manifold Regularized Convolutional Neural Networks
* 2019: Saliency Integration: An Arbitrator Model
* 2019: See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks
* 2019: Semi-Supervised Video Object Segmentation with Super-Trajectories
* 2019: Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss
* 2019: Video Saliency Detection via Sparsity-Based Reconstruction and Propagation
* 2020: Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces
* 2020: Clnet: A Compact Latent Network for Fast Adjusting Siamese Trackers
* 2020: Component Attention Guided Face Super-Resolution Network: CAGFace
* 2020: Feature mask network for person re-identification
* 2020: Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks
* 2020: Identity Enhanced Residual Image Denoising
* 2020: Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation
* 2020: Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation
* 2020: Scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks
* 2020: Self-supervised Approach for Adversarial Robustness, A
* 2020: Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
* 2020: Underwater scene prior inspired deep underwater image and video enhancement
* 2020: When Correlation Filters Meet Siamese Networks for Real-Time Complementary Tracking
* 2020: Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts
* 2021: Deep ancient Roman Republican coin classification via feature fusion and attention
* 2021: Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking
* 2021: Efficient Action Recognition via Dynamic Knowledge Propagation
* 2021: InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
* 2021: Knowledge memorization and generation for action recognition in still images
* 2021: On Generating Transferable Targeted Perturbations
* 2021: Phase Selective Convolution
* 2022: AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
* 2022: Delta Distillation for Efficient Video Processing
* 2022: Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
* 2022: Image Segmentation Using Deep Learning: A Survey
* 2022: Imposing Consistency for Optical Flow Estimation
* 2022: IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes
* 2022: Learning Implicit Feature Alignment Function for Semantic Segmentation
* 2022: Online Adaptive Personalization for Face Anti-Spoofing
* 2022: Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
* 2022: Perceptual Consistency in Video Segmentation
* 2022: Personalized Benchmark for Face Anti-spoofing, A
* 2022: Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device
* 2022: SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection
* 2022: Simple and Efficient Architectures for Semantic Segmentation
* 2022: Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors
* 2023: 4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
* 2023: Adaptive Siamese Tracking With a Compact Latent Network
* 2023: Consistency and Diversity Induced Human Motion Segmentation
* 2023: DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
* 2023: DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow
* 2023: DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
* 2023: Efficient neural supersampling on a novel gaming dataset
* 2023: EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation
* 2023: Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
* 2023: MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
* 2023: PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
* 2023: QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms
* 2023: Stylized Adversarial Defense
* 2023: Survey on Deep Learning Technique for Video Segmentation, A
* 2023: Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation
* 2023: X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation
* 2023: X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection
* 2024: Clockwork Diffusion: Efficient Generation With Model-Step Distillation
* 2024: DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions
* 2024: EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting
* 2024: Futuredepth: Learning to Predict the Future Improves Video Depth Estimation
* 2024: Neural Graphics Texture Compression Supporting Random Access
* 2024: Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding
* 2024: Object-centric Diffusion for Efficient Video Editing
* 2024: OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
* 2024: SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations
* 2024: Segmentation-Free Guidance for Text-to-Image Diffusion Models
* 2025: CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
* 2025: Distilling Multi-Modal Large Language Models for Autonomous Driving
* 2025: DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos
* 2025: HexaGen3D: StableDiffusion is One Step Away from Fast and Diverse Text-to-3D Generation
* 2025: HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
* 2025: Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties
* 2025: Learning Optical Flow Field via Neural Ordinary Differential Equation
* 2025: Planar Gaussian Splatting
Includes: Porikli, F.M. Porikli, F.M.[Fatih Murat] Porikli, F.M.[Fatih M.]
239 for Porikli, F.M.
Porinelli, R.
* 1986: Use of a Dictionary in Conjunction with a Handwritten Texts Recognizer