Farha, Y.A.
* 2018: When will you do what? - Anticipating Temporal Occurrences of Activities
* 2019: MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
* 2020: Long-Term Anticipation of Activities with Cycle Consistency
* 2021: Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos
* 2023: MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation
Includes: Farha, Y.A. Farha, Y.A.[Yazan Abu]
Farhad, M.M.
* 2020: Radiometric Cross Calibration and Validation Using 4 Angle BRDF Model between Landsat 8 and Sentinel 2A
Farhadi, A.[Ali]
* 2003: Image segmentation via local higher order statistics
* 2006: Aligning ASL for Statistical Translation Using a Discriminative Word Model
* 2006: application of linear predictive coding and computational geometry to iris recognition, An
* 2006: How to tell the difference between a cat and a dog?
* 2007: Transfer Learning in Sign language
* 2008: Learning to Recognize Activities from the Wrong View Point
* 2008: Scene Discovery by Matrix Factorization
* 2009: Describing objects by their attributes
* 2009: latent model of discriminative aspect, A
* 2009: Unlabeled data improves word prediction
* 2010: Attribute-centric recognition for cross-category generalization
* 2010: benefits and challenges of collecting richer object annotations, The
* 2010: Every Picture Tells a Story: Generating Sentences from Images
* 2011: Recognition using visual phrases
* 2011: Understanding egocentric activities
* 2012: Attribute Discovery via Predictable Discriminative Binary Codes
* 2012: Building a dictionary of image fragments
* 2013: Adding Unlabeled Samples to Categories by Learned Attributes
* 2013: Multi-attribute Queries: To Merge or Not to Merge?
* 2013: Object-Centric Anomaly Detection by Attribute-Based Reasoning
* 2013: Phrasal Recognition
* 2014: Action Recognition in the Presence of One Egocentric and Multiple Static Cameras
* 2014: Incorporating Scene Context and Object Layout into Appearance Modeling
* 2014: Learning Everything about Anything: Webly-Supervised Visual Concept Learning
* 2014: Predicting Failures of Vision Systems
* 2014: Ranking Domain-Specific Highlights by Analyzing Edited Videos
* 2014: Salient Montages from Unconstrained Videos
* 2014: Towards Transparent Systems: Semantic Characterization of Failure Modes
* 2015: Discriminative and consistent similarities in instance-level Multiple Instance Learning
* 2015: Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off!
* 2015: Learning to Select and Order Vacation Photographs
* 2015: Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
* 2015: VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases
* 2016: Actions ~ Transformations
* 2016: Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
* 2016: Diagram is Worth a Dozen Images, A
* 2016: FigureSeer: Parsing Result-Figures in Research Papers
* 2016: Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
* 2016: Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images
* 2016: Ranking Highlights in Personal Videos by Analyzing Edited Videos
* 2016: Semantic highlight retrieval
* 2016: Situation Recognition: Visual Semantic Role Labeling for Image Understanding
* 2016: Task-Oriented Approach for Cost-Sensitive Recognition, A
* 2016: What Happens If... Learning to Predict the Effect of Forces in Images
* 2016: XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
* 2016: You Only Look Once: Unified, Real-Time Object Detection
* 2017: Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
* 2017: Asynchronous Temporal Fields for Action Recognition
* 2017: Commonly Uncommon: Semantic Sparsity in Situation Recognition
* 2017: LCNN: Lookup-Based Convolutional Neural Network
* 2017: See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content
* 2017: Semantic Highlight Retrieval and Term Prediction
* 2017: Summarizing Unconstrained Videos Using Salient Montages
* 2017: Visual Semantic Planning Using Deep Successor Representations
* 2017: YOLO9000: Better, Faster, Stronger
* 2018: Actor and Observer: Joint Modeling of First and Third-Person Videos
* 2018: DOCK: Detecting Objects by Transferring Common-Sense Knowledge
* 2018: Imagine This! Scripts to Compositions to Videos
* 2018: IQA: Visual Question Answering in Interactive Environments
* 2018: SeGAN: Segmenting and Generating the Invisible
* 2018: Structured Set Matching Networks for One-Shot Part Labeling
* 2018: Who Let the Dogs Out? Modeling Dog Behavior from Visual Data
* 2019: ELASTIC: Improving CNNs With Dynamic Scaling Policies
* 2019: From Recognition to Cognition: Visual Commonsense Reasoning
* 2019: Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
* 2019: OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
* 2019: Two Body Problem: Collaborative Visual Task Completion
* 2019: Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph
* 2020: Butterfly Transform: An Efficient FFT Based Neural Architecture Design
* 2020: Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks, A
* 2020: Grounded Situation Recognition
* 2020: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
* 2020: Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
* 2020: Visual Reaction: Learning to Play Catch With Your Drone
* 2020: Visualcomet: Reasoning About the Dynamic Context of a Still Image
* 2020: What's Hidden in a Randomly Weighted Neural Network?
* 2021: Pushing it out of the Way: Interactive Visual Navigation
* 2022: Break and Make: Interactive Structural Understanding Using LEGO Bricks
* 2022: Forward Compatible Training for Large-Scale Embedding Retrieval Systems
* 2022: Layer-Wise Data-Free CNN Compression
* 2022: MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound
* 2022: Object Manipulation via Visual Target Localization
* 2022: Robust fine-tuning of zero-shot models
* 2023: Objaverse: A Universe of Annotated 3D Objects
* 2023: Phone2Proc: Bringing Robust Robots into Our Chaotic World
* 2023: Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
* 2023: What does a platypus look like? Generating customized prompts for zero-shot image classification
Includes: Farhadi, A.[Ali] Farhadi, A.
87 for Farhadi, A.
Farhadi, M.
* 2017: Drone-vs-Bird detection challenge at IEEE AVSS2017
* 2020: Enabling Incremental Knowledge Transfer for Object Detection at the Edge
* 2020: TKD: Temporal Knowledge Distillation for Active Perception
Includes: Farhadi, M. Farhadi, M.[Mohammad]
Farhadiani, R.
* 2019: Impact of Polarimetric SAR Speckle Reduction On Classification Of Agriculture Lands
Farhadinia, M.S.[Mohammad S.]
* 2022: Structural Connectivity of Asia's Protected Areas Network: Identifying the Potential of Transboundary Conservation and Cost-Effective Zones
Farhadpour, S.
* 2019: Public Participation in Gis Via Mobile Applications for Crisis Management Process: a Case Study of An Earthquake, Tehran, Iran
* 2024: Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices
Includes: Farhadpour, S. Farhadpour, S.[Sarah]
Farhan, A.R.
* 2015: 13 Years of changes in the extent and physiognomy of mangroves after shrimp farming abandonment, Bali
Farhan, E.[Erez]
* 2014: Point matching via affine region expansion
* 2015: Geometric Expansion for Local Feature Analysis and Matching
* 2017: Local Region Expansion: A Method for Analyzing and Refining Image Matches
* 2019: Highly Accurate Matching of Weakly Localized Features
* 2020: Matching of Weakly-Localized Features under Different Geometric Models
Farhan, M.[Muhammad]
* 2013: novel method for splitting clumps of convex objects incorporating image intensity and using rectangular window-based concavity point-pair search, A
* 2017: Real-time imaging-based assessment model for improving teaching performance and student experience in e-learning
Farhand, S.[Sepehr]
* 2018: Fading Affect Bias: Improving the Trade-Off Between Accuracy and Efficiency in Feature Clustering
* 2019: Fading Affect Bias: Improving the Trade-Off Between Accuracy and Efficiency in Feature Clustering
* 2023: Foreground discovery in streaming videos with dynamic construction of content graphs
Farhang Boroujeny, B.
* 2002: Robust microphone arrays using subband adaptive filters
* 2005: DSP Approach to the Design of Nonlinear Optical Devices
* 2017: Analytical Study of Circularly Pulse-Shaped FBMC-OQAM Waveforms, An
Includes: Farhang Boroujeny, B. Farhang-Boroujeny, B. Farhang-Boroujeny, B.[Behrouz]
Farhang, A.
* 2021: Spectral Domain Spline Graph Filter Bank
Farhangfar, A.[Alireza]
* 2008: Impact of imputation of missing values on classification error for discrete data
Farhangi, M.M.
* 2014: Informative visual words construction to improve bag of words image representation
* 2017: 3-D Active Contour Segmentation Based on Sparse Linear Combination of Training Shapes (SCoTS)
* 2021: Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge
Includes: Farhangi, M.M. Farhangi, M.M.[M. Mehdi]
Farhani, N.[Nesrine]
* 2022: Analysis of Multispectral Drought Indices in Central Tunisia
Farhanj, F.[Farinaz]
* 2023: Monitoring the Impacts of Human Activities on Urban Ecosystems Based on the Enhanced UCCLN (EUCCLN) Model
Farhaoui, Y.[Yousef]
* 2022: Application of the deep learning approach for identification and face recognition in real-time video
* 2022: Toward a Stage-wise Classification of Date Palm White Scale Disease using Features Extraction and Machine Learning Techniques
Farhat, A.A.H.[Ali A. H.]
* 2019: HD number plate localization and character segmentation on the Zynq heterogeneous SoC
Farhat, F.[Farshid]
* 2015: Towards blind detection of low-rate spatial embedding in image steganalysis
* 2017: Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval
* 2018: Discovering Triangles in Portraits for Supporting Photographic Creation
Includes: Farhat, F.[Farshid] Farhat, F.
Farhat, H.[Hanan]
* 2020: Deep learning applications in pulmonary medical imaging: Recent updates and insights on COVID-19
Farhat, I.[Iman]
* 2022: Numerical Investigation of the Dispersion Law of Materials by Means of Multi-Length TDR Data, A
Farhat, J.
* 2017: On the Secure Energy Efficiency of TAS/MRC With Relaying and Jamming Strategies
Farhat, L.[Leila]
* 2021: Deep Learning-Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment, A
* 2023: Modified Version of the Direct Sampling Method for Filling Gaps in Landsat 7 and Sentinel 2 Satellite Imagery in the Coastal Area of Rhone River, A
Includes: Farhat, L.[Leila] Farhat, L.[Lokmen]
Farhat, M.
* 2016: Free training object detection based on multi-stage fusion using belief functions
Farhat, W.[Wajdi]
* 2019: Real-time embedded system for traffic sign recognition based on ZedBoard
Farhi, L.[Lubna]
* 2017: Adaptive stochastic segmentation via energy-convergence for brain tumor in MR images
Farhi, N.[Nadir]
* 2021: Estimation of Urban Traffic State With Probe Vehicles
* 2021: Feedback Control for Metro Lines With a Junction
* 2022: Estimation of Road Traffic State at a Multilanes Controlled Junction
Farhi, S.H.[Sidali Hocine]
* 2018: Graph based model for information retrieval using a stochastic local search
Farhi, S.L.[Samouil L.]
* 2022: Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results
Farhidzadeh, H.
* 2016: Spectral sparsification in spectral clustering
Farhood, H.
* 2017: Counting People Based on Linear, Weighted, and Local Random Forests
* 2020: Enhanced 3D Point Cloud from a Light Field Image
Includes: Farhood, H. Farhood, H.[Helia]