Farha, Y.A.
Standard Author Listing
with: Cheng, M.M.: MS-TCN++: Multi-Stage Temporal Convolutional Network for ...
with: Gall, J.: Long-Term Anticipation of Activities with Cycle Consistency
with: Gall, J.: MS-TCN++: Multi-Stage Temporal Convolutional Network for Act...
with: Gall, J.: MS-TCN: Multi-Stage Temporal Convolutional Network for Actio...
with: Gall, J.: Multi-Modal Temporal Convolutional Network for Anticipating ...
with: Gall, J.: When will you do what? - Anticipating Temporal Occurrences o...
with: Ke, Q.H.: Long-Term Anticipation of Activities with Cycle Consistency
with: Li, S.J.: MS-TCN++: Multi-Stage Temporal Convolutional Network for Act...
with: Liu, Y.: MS-TCN++: Multi-Stage Temporal Convolutional Network for Acti...
with: Richard, A.: When will you do what? - Anticipating Temporal Occurrence...
with: Schiele, B.: Long-Term Anticipation of Activities with Cycle Consistency
with: Zatsarynna, O.: Multi-Modal Temporal Convolutional Network for Anticip...
12 for Farha, Y.A.
Farhad, M.M.
Standard Author Listing
with: Helder, D.: Radiometric Cross Calibration and Validation Using 4 Angle...
with: Kaewmanee, M.: Radiometric Cross Calibration and Validation Using 4 An...
with: Leigh, L.: Radiometric Cross Calibration and Validation Using 4 Angle ...
Farhadi, A.
Standard Author Listing
with: Alahari, K.: Actor and Observer: Joint Modeling of First and Third-Per...
with: Alipour, M.: application of linear predictive coding and computational...
with: Alipour, M.: How to tell the difference between a cat and a dog?
with: Alizadeh Vahid, K.: Butterfly Transform: An Efficient FFT Based Neural...
with: Bagherinezhad, H.: LCNN: Lookup-Based Convolutional Neural Network
with: Bagherinezhad, H.: Newtonian Image Understanding: Unfolding the Dynami...
with: Bagherinezhad, H.: Who Let the Dogs Out? Modeling Dog Behavior from Vi...
with: Bansal, A.: Towards Transparent Systems: Semantic Characterization of ...
with: Bhagavatula, C.: Visualcomet: Reasoning About the Dynamic Context of a...
with: Bisk, Y.: From Recognition to Cognition: Visual Commonsense Reasoning
with: Chen, T.H.: Ranking Domain-Specific Highlights by Analyzing Edited Vid...
with: Chen, T.H.: Ranking Highlights in Personal Videos by Analyzing Edited ...
with: Choi, J.: Are You Smarter Than a Sixth Grader? Textbook Question Answe...
with: Choi, J.: Structured Set Matching Networks for One-Shot Part Labeling
with: Choi, J.H.: Adding Unlabeled Samples to Categories by Learned Attributes
with: Choi, Y.: From Recognition to Cognition: Visual Commonsense Reasoning
with: Choi, Y.: MERLOT RESERVE: Neural Script Knowledge through Vision and L...
with: Choi, Y.: Segment-Phrase Table for Semantic Segmentation, Visual Entai...
with: Choi, Y.: Visualcomet: Reasoning About the Dynamic Context of a Still ...
with: Covert, I.: What does a platypus look like? Generating customized prom...
with: Davis, L.S.: Adding Unlabeled Samples to Categories by Learned Attribu...
with: Deitke, M.: Objaverse: A Universe of Annotated 3D Objects
with: Deitke, M.: Phone2Proc: Bringing Robust Robots into Our Chaotic World
with: Deitke, M.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Desingh, K.: Break and Make: Interactive Structural Understanding Usin...
with: Diba, A.: Multi-attribute Queries: To Merge or Not to Merge?
with: Divvala, S.: Asynchronous Temporal Fields for Action Recognition
with: Divvala, S.: DOCK: Detecting Objects by Transferring Common-Sense Know...
with: Divvala, S.: FigureSeer: Parsing Result-Figures in Research Papers
with: Divvala, S.: Video Relationship Reasoning Using Gated Spatio-Temporal ...
with: Divvala, S.: You Only Look Once: Unified, Real-Time Object Detection
with: Divvala, S.K.: Learning Everything about Anything: Webly-Supervised Vi...
with: Divvala, S.K.: Segment-Phrase Table for Semantic Segmentation, Visual ...
with: Divvala, S.K.: VisKE: Visual knowledge extraction and question answeri...
with: Ehsani, K.: Learning to Learn How to Learn: Self-Adaptive Visual Navig...
with: Ehsani, K.: Object Manipulation via Visual Target Localization
with: Ehsani, K.: Phone2Proc: Bringing Robust Robots into Our Chaotic World
with: Ehsani, K.: SeGAN: Segmenting and Generating the Invisible
with: Ehsani, K.: Use the Force, Luke! Learning to Predict Physical Forces b...
with: Ehsani, K.: Who Let the Dogs Out? Modeling Dog Behavior from Visual Data
with: Ehsanit, K.: Objaverse: A Universe of Annotated 3D Objects
with: Elgammal, A.M.: Object-Centric Anomaly Detection by Attribute-Based Re...
with: Endres, I.: Attribute-centric recognition for cross-category generaliz...
with: Endres, I.: benefits and challenges of collecting richer object annota...
with: Endres, I.: Building a dictionary of image fragments
with: Endres, I.: Describing objects by their attributes
with: Endres, I.: latent model of discriminative aspect, A
with: Endres, I.: Unlabeled data improves word prediction
with: Faghri, F.: Reinforce Data, Multiply Impact: Improved Model Accuracy a...
with: Farajtabar, M.: Reinforce Data, Multiply Impact: Improved Model Accura...
with: Fathi, A.: Understanding egocentric activities
with: Fei Fei, L.: Visual Semantic Planning Using Deep Successor Representat...
with: Forsyth, D.A.: Aligning ASL for Statistical Translation Using a Discri...
with: Forsyth, D.A.: Attribute Discovery via Predictable Discriminative Bina...
with: Forsyth, D.A.: benefits and challenges of collecting richer object ann...
with: Forsyth, D.A.: Building a dictionary of image fragments
with: Forsyth, D.A.: Describing objects by their attributes
with: Forsyth, D.A.: Every Picture Tells a Story: Generating Sentences from ...
with: Forsyth, D.A.: latent model of discriminative aspect, A
with: Forsyth, D.A.: Transfer Learning in Sign language
with: Forsyth, D.A.: Unlabeled data improves word prediction
with: Fox, D.: Break and Make: Interactive Structural Understanding Using LE...
with: Fox, D.: IQA: Visual Question Answering in Interactive Environments
with: Fox, D.: See the Glass Half Full: Reasoning About Liquid Containers, T...
with: Fox, D.: Visual Semantic Planning Using Deep Successor Representations
with: Girshick, R.: Deep3D: Fully Automatic 2D-to-3D Video Conversion with D...
with: Girshick, R.: You Only Look Once: Unified, Real-Time Object Detection
with: Gordon, D.: IQA: Visual Question Answering in Interactive Environments
with: Gordon, D.: Visual Semantic Planning Using Deep Successor Representati...
with: Guestrin, C.: Learning Everything about Anything: Webly-Supervised Vis...
with: Gupta, A.: Actions ~ Transformations
with: Gupta, A.: Actor and Observer: Joint Modeling of First and Third-Perso...
with: Gupta, A.: Asynchronous Temporal Fields for Action Recognition
with: Gupta, A.: Hollywood in Homes: Crowdsourcing Data Collection for Activ...
with: Gupta, A.: Use the Force, Luke! Learning to Predict Physical Forces by...
with: Gupta, A.: Visual Semantic Planning Using Deep Successor Representations
with: Gupta, A.: What Happens If... Learning to Predict the Effect of Forces...
with: Gupta, S.: Use the Force, Luke! Learning to Predict Physical Forces by...
with: Gupta, T.: Imagine This! Scripts to Compositions to Videos
with: Hajishirzi, H.: Are You Smarter Than a Sixth Grader? Textbook Question...
with: Hajishirzi, H.: Diagram is Worth a Dozen Images, A
with: Hajishirzi, H.: Discriminative and consistent similarities in instance...
with: Hajishirzi, H.: Robust fine-tuning of zero-shot models
with: Hajishirzi, H.: Segment-Phrase Table for Semantic Segmentation, Visual...
with: Hajishirzi, H.: Task-Oriented Approach for Cost-Sensitive Recognition, A
with: Han, W.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Hebert, M.: Predicting Failures of Vision Systems
with: Hejrati, M.: Every Picture Tells a Story: Generating Sentences from Im...
with: Hendrix, R.: Phone2Proc: Bringing Robust Robots into Our Chaotic World
with: Herrasti, A.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Hessel, J.: MERLOT RESERVE: Neural Script Knowledge through Vision and...
with: Hockenmaier, J.: Every Picture Tells a Story: Generating Sentences fro...
with: Hoiem, D.: Attribute-centric recognition for cross-category generaliza...
with: Hoiem, D.: benefits and challenges of collecting richer object annotat...
with: Hoiem, D.: Describing objects by their attributes
with: Hoiem, D.: Imagine This! Scripts to Compositions to Videos
with: Horton, M.: Layer-Wise Data-Free CNN Compression
with: Horvitz, Z.: FigureSeer: Parsing Result-Figures in Research Papers
with: Ilharco, G.: Robust fine-tuning of zero-shot models
with: Izadinia, H.: Incorporating Scene Context and Object Layout into Appea...
with: Izadinia, H.: Segment-Phrase Table for Semantic Segmentation, Visual E...
with: Jain, U.: Cordial Sync: Going Beyond Marginal Policies for Multi-Agent...
with: Jain, U.: Two Body Problem: Collaborative Visual Task Completion
with: Jin, Y.Z.: Layer-Wise Data-Free CNN Compression
with: Kembhavi, A.: Are You Smarter Than a Sixth Grader? Textbook Question A...
with: Kembhavi, A.: Cordial Sync: Going Beyond Marginal Policies for Multi-A...
with: Kembhavi, A.: Diagram is Worth a Dozen Images, A
with: Kembhavi, A.: ELASTIC: Improving CNNs With Dynamic Scaling Policies
with: Kembhavi, A.: Grounded Situation Recognition
with: Kembhavi, A.: Imagine This! Scripts to Compositions to Videos
with: Kembhavi, A.: IQA: Visual Question Answering in Interactive Environments
with: Kembhavi, A.: Objaverse: A Universe of Annotated 3D Objects
with: Kembhavi, A.: Object Manipulation via Visual Target Localization
with: Kembhavi, A.: Phone2Proc: Bringing Robust Robots into Our Chaotic World
with: Kembhavi, A.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Kembhavi, A.: Structured Set Matching Networks for One-Shot Part Label...
with: Kembhavi, A.: Two Body Problem: Collaborative Visual Task Completion
with: Kembhavi, A.: What's Hidden in a Randomly Weighted Neural Network?
with: Kim, J.W.: Robust fine-tuning of zero-shot models
with: Kolve, E.: Cordial Sync: Going Beyond Marginal Policies for Multi-Agen...
with: Kolve, E.: Diagram is Worth a Dozen Images, A
with: Kolve, E.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Kolve, E.: Two Body Problem: Collaborative Visual Task Completion
with: Kolve, E.: Visual Semantic Planning Using Deep Successor Representations
with: Kornblith, S.: Robust fine-tuning of zero-shot models
with: Kotar, K.: Break and Make: Interactive Structural Understanding Using ...
with: Krishnamurthy, J.: Structured Set Matching Networks for One-Shot Part ...
with: Kusupati, A.: MERLOT RESERVE: Neural Script Knowledge through Vision a...
with: Laptev, I.: Hollywood in Homes: Crowdsourcing Data Collection for Acti...
with: Lazebnik, S.: Cordial Sync: Going Beyond Marginal Policies for Multi-A...
with: Lazebnik, S.: Two Body Problem: Collaborative Visual Task Completion
with: Lee, Y.J.: DOCK: Detecting Objects by Transferring Common-Sense Knowle...
with: Levin, R.: FigureSeer: Parsing Result-Figures in Research Papers
with: Li, M.: Robust fine-tuning of zero-shot models
with: Liao, Z.C.: Building a dictionary of image fragments
with: Lin, Y.C.: Semantic highlight retrieval
with: Lin, Y.C.: Semantic Highlight Retrieval and Term Prediction
with: Liu, R.: What does a platypus look like? Generating customized prompts...
with: Loeff, N.: Scene Discovery by Matrix Factorization
with: Loeff, N.: Unlabeled data improves word prediction
with: Lopes, R.G.: Robust fine-tuning of zero-shot models
with: Lu, J.: MERLOT RESERVE: Neural Script Knowledge through Vision and Lan...
with: Lu, X.: MERLOT RESERVE: Neural Script Knowledge through Vision and Lan...
with: Marino, K.: OK-VQA: A Visual Question Answering Benchmark Requiring Ex...
with: Mehta, S.: Reinforce Data, Multiply Impact: Improved Model Accuracy an...
with: Michel, O.: Objaverse: A Universe of Annotated 3D Objects
with: Morency, L.P.: Video Relationship Reasoning Using Gated Spatio-Tempora...
with: Mottaghi, R.: Learning to Learn How to Learn: Self-Adaptive Visual Nav...
with: Mottaghi, R.: Newtonian Image Understanding: Unfolding the Dynamics of...
with: Mottaghi, R.: Object Manipulation via Visual Target Localization
with: Mottaghi, R.: OK-VQA: A Visual Question Answering Benchmark Requiring ...
with: Mottaghi, R.: Pushing it out of the Way: Interactive Visual Navigation
with: Mottaghi, R.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Mottaghi, R.: See the Glass Half Full: Reasoning About Liquid Containe...
with: Mottaghi, R.: SeGAN: Segmenting and Generating the Invisible
with: Mottaghi, R.: Task-Oriented Approach for Cost-Sensitive Recognition, A
with: Mottaghi, R.: Visual Reaction: Learning to Play Catch With Your Drone
with: Mottaghi, R.: Visual Semantic Planning Using Deep Successor Representa...
with: Mottaghi, R.: Visualcomet: Reasoning About the Dynamic Context of a St...
with: Mottaghi, R.: What Happens If... Learning to Predict the Effect of For...
with: Mottaghi, R.: Who Let the Dogs Out? Modeling Dog Behavior from Visual ...
with: Namkoong, H.: Robust fine-tuning of zero-shot models
with: Ordonez, V.: Commonly Uncommon: Semantic Sparsity in Situation Recogni...
with: Ordonez, V.: Situation Recognition: Visual Semantic Role Labeling for ...
with: Ordonez, V.: XNOR-Net: ImageNet Classification Using Binary Convolutio...
with: Parikh, D.: Multi-attribute Queries: To Merge or Not to Merge?
with: Parikh, D.: Predicting Failures of Vision Systems
with: Parikh, D.: Towards Transparent Systems: Semantic Characterization of ...
with: Park, J.S.: Visualcomet: Reasoning About the Dynamic Context of a Stil...
with: Pouransari, H.: Forward Compatible Training for Large-Scale Embedding ...
with: Pouransari, H.: Reinforce Data, Multiply Impact: Improved Model Accura...
with: Prabhu, A.: Butterfly Transform: An Efficient FFT Based Neural Archite...
with: Pratt, S.: Grounded Situation Recognition
with: Pratt, S.: What does a platypus look like? Generating customized promp...
with: Ramanujan, V.: Forward Compatible Training for Large-Scale Embedding R...
with: Ramanujan, V.: What's Hidden in a Randomly Weighted Neural Network?
with: Rashtchian, C.: Every Picture Tells a Story: Generating Sentences from...
with: Rastegari, M.: Adding Unlabeled Samples to Categories by Learned Attri...
with: Rastegari, M.: Attribute Discovery via Predictable Discriminative Bina...
with: Rastegari, M.: Butterfly Transform: An Efficient FFT Based Neural Arch...
with: Rastegari, M.: Discriminative and consistent similarities in instance-...
with: Rastegari, M.: ELASTIC: Improving CNNs With Dynamic Scaling Policies
with: Rastegari, M.: IQA: Visual Question Answering in Interactive Environme...
with: Rastegari, M.: Layer-Wise Data-Free CNN Compression
with: Rastegari, M.: LCNN: Lookup-Based Convolutional Neural Network
with: Rastegari, M.: Learning to Learn How to Learn: Self-Adaptive Visual Na...
with: Rastegari, M.: Multi-attribute Queries: To Merge or Not to Merge?
with: Rastegari, M.: Newtonian Image Understanding: Unfolding the Dynamics o...
with: Rastegari, M.: OK-VQA: A Visual Question Answering Benchmark Requiring...
with: Rastegari, M.: Reinforce Data, Multiply Impact: Improved Model Accurac...
with: Rastegari, M.: Two Body Problem: Collaborative Visual Task Completion
with: Rastegari, M.: What Happens If... Learning to Predict the Effect of Fo...
with: Rastegari, M.: What's Hidden in a Randomly Weighted Neural Network?
with: Rastegari, M.: XNOR-Net: ImageNet Classification Using Binary Convolut...
with: Razavi, N.: application of linear predictive coding and computational ...
with: Razavi, N.: How to tell the difference between a cat and a dog?
with: Redmon, J.: IQA: Visual Question Answering in Interactive Environments
with: Redmon, J.: Who Let the Dogs Out? Modeling Dog Behavior from Visual Data
with: Redmon, J.: XNOR-Net: ImageNet Classification Using Binary Convolution...
with: Redmon, J.: YOLO9000: Better, Faster, Stronger
with: Redmon, J.: You Only Look Once: Unified, Real-Time Object Detection
with: Rehg, J.M.: Understanding egocentric activities
with: Roelofs, R.: Robust fine-tuning of zero-shot models
with: Sadeghi, F.: Incorporating Scene Context and Object Layout into Appear...
with: Sadeghi, F.: Learning to Select and Order Vacation Photographs
with: Sadeghi, F.: Segment-Phrase Table for Semantic Segmentation, Visual En...
with: Sadeghi, F.: VisKE: Visual knowledge extraction and question answering...
with: Sadeghi, M.A.: Every Picture Tells a Story: Generating Sentences from ...
with: Sadeghi, M.A.: Phrasal Recognition
with: Sadeghi, M.A.: Recognition using visual phrases
with: Salakhutdinov, R.: Video Relationship Reasoning Using Gated Spatio-Tem...
with: Saleh, B.: Object-Centric Anomaly Detection by Attribute-Based Reasoning
with: Salehi, M.: MERLOT RESERVE: Neural Script Knowledge through Vision and...
with: Salvador, J.: Objaverse: A Universe of Annotated 3D Objects
with: Salvador, J.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Salvato, M.: Diagram is Worth a Dozen Images, A
with: Samei, G.: How to tell the difference between a cat and a dog?
with: Schenck, C.: See the Glass Half Full: Reasoning About Liquid Container...
with: Schmid, C.: Actor and Observer: Joint Modeling of First and Third-Pers...
with: Schmidt, L.: Objaverse: A Universe of Annotated 3D Objects
with: Schmidt, L.: Robust fine-tuning of zero-shot models
with: Schwenk, D.: Are You Smarter Than a Sixth Grader? Textbook Question An...
with: Schwenk, D.: Imagine This! Scripts to Compositions to Videos
with: Schwenk, D.: Objaverse: A Universe of Annotated 3D Objects
with: Schwenk, D.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Schwing, A.: Cordial Sync: Going Beyond Marginal Policies for Multi-Ag...
with: Schwing, A.G.: Two Body Problem: Collaborative Visual Task Completion
with: Seitz, S.: Ranking Domain-Specific Highlights by Analyzing Edited Videos
with: Seitz, S.: Ranking Highlights in Personal Videos by Analyzing Edited V...
with: Seitz, S.M.: Salient Montages from Unconstrained Videos
with: Seitz, S.M.: Summarizing Unconstrained Videos Using Salient Montages
with: Seo, M.: Are You Smarter Than a Sixth Grader? Textbook Question Answer...
with: Seo, M.: Diagram is Worth a Dozen Images, A
with: Shahshahani, M.: Image segmentation via local higher order statistics
with: Shapiro, L.G.: Action Recognition in the Presence of One Egocentric an...
with: Shapiro, L.G.: Generating Notifications for Missing Actions: Don't For...
with: Siegel, N.: FigureSeer: Parsing Result-Figures in Research Papers
with: Sigal, L.: Learning to Select and Order Vacation Photographs
with: Sigurdsson, G.A.: Actor and Observer: Joint Modeling of First and Thir...
with: Sigurdsson, G.A.: Asynchronous Temporal Fields for Action Recognition
with: Sigurdsson, G.A.: Hollywood in Homes: Crowdsourcing Data Collection fo...
with: Singh, K.K.: DOCK: Detecting Objects by Transferring Common-Sense Know...
with: Soran, B.: Action Recognition in the Presence of One Egocentric and Mu...
with: Soran, B.: Generating Notifications for Missing Actions: Don't Forget ...
with: Sun, M.: Ranking Domain-Specific Highlights by Analyzing Edited Videos
with: Sun, M.: Ranking Highlights in Personal Videos by Analyzing Edited Vid...
with: Sun, M.: Salient Montages from Unconstrained Videos
with: Sun, M.: Semantic highlight retrieval
with: Sun, M.: Semantic Highlight Retrieval and Term Prediction
with: Sun, M.: Summarizing Unconstrained Videos Using Salient Montages
with: Tabrizi, M.K.: latent model of discriminative aspect, A
with: Tabrizi, M.K.: Learning to Recognize Activities from the Wrong View Po...
with: Taskar, B.: Salient Montages from Unconstrained Videos
with: Taskar, B.: Summarizing Unconstrained Videos Using Salient Montages
with: Tena, J.R.: Learning to Select and Order Vacation Photographs
with: Tsai, Y.H.H.: Video Relationship Reasoning Using Gated Spatio-Temporal...
with: Tulsiani, S.: Use the Force, Luke! Learning to Predict Physical Forces...
with: Tuzel, O.: Forward Compatible Training for Large-Scale Embedding Retri...
with: Tuzel, O.: Reinforce Data, Multiply Impact: Improved Model Accuracy an...
with: Vander Bilt, E.: RoboTHOR: An Open Simulation-to-Real Embodied AI Plat...
with: VanderBilt, E.: Objaverse: A Universe of Annotated 3D Objects
with: Varol, G.: Hollywood in Homes: Crowdsourcing Data Collection for Activ...
with: Vasu, P.K.A.: Forward Compatible Training for Large-Scale Embedding Re...
with: Wallingford, M.: RoboTHOR: An Open Simulation-to-Real Embodied AI Plat...
with: Walsman, A.: Break and Make: Interactive Structural Understanding Usin...
with: Wang, H.Y.: ELASTIC: Improving CNNs With Dynamic Scaling Policies
with: Wang, J.: Predicting Failures of Vision Systems
with: Wang, X.L.: Actions ~ Transformations
with: Wang, X.L.: Hollywood in Homes: Crowdsourcing Data Collection for Acti...
with: Wang, Y.: Building a dictionary of image fragments
with: Weihs, L.: Cordial Sync: Going Beyond Marginal Policies for Multi-Agen...
with: Weihs, L.: Grounded Situation Recognition
with: Weihs, L.: Objaverse: A Universe of Annotated 3D Objects
with: Weihs, L.: Pushing it out of the Way: Interactive Visual Navigation
with: Weihs, L.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Weihs, L.: Two Body Problem: Collaborative Visual Task Completion
with: Weihs, L.: Visual Reaction: Learning to Play Catch With Your Drone
with: White, R.: Aligning ASL for Statistical Translation Using a Discrimina...
with: White, R.: Transfer Learning in Sign language
with: Wortsman, M.: Learning to Learn How to Learn: Self-Adaptive Visual Nav...
with: Wortsman, M.: Robust fine-tuning of zero-shot models
with: Wortsman, M.: What's Hidden in a Randomly Weighted Neural Network?
with: Xie, J.Y.: Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep...
with: Yatskar, M.: Commonly Uncommon: Semantic Sparsity in Situation Recogni...
with: Yatskar, M.: Grounded Situation Recognition
with: Yatskar, M.: RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
with: Yatskar, M.: Situation Recognition: Visual Semantic Role Labeling for ...
with: Young, P.: Every Picture Tells a Story: Generating Sentences from Images
with: Yu, Y.: MERLOT RESERVE: Neural Script Knowledge through Vision and Lan...
with: Yuille, A.L.: ELASTIC: Improving CNNs With Dynamic Scaling Policies
with: Zellers, R.: From Recognition to Cognition: Visual Commonsense Reasoning
with: Zellers, R.: MERLOT RESERVE: Neural Script Knowledge through Vision an...
with: Zeng, K.: Visual Reaction: Learning to Play Catch With Your Drone
with: Zeng, K.H.: Pushing it out of the Way: Interactive Visual Navigation
with: Zeng, K.H.: Semantic highlight retrieval
with: Zeng, K.H.: Semantic Highlight Retrieval and Term Prediction
with: Zettlemoyer, L.: Commonly Uncommon: Semantic Sparsity in Situation Rec...
with: Zettlemoyer, L.: Situation Recognition: Visual Semantic Role Labeling ...
with: Zhang, M.: Break and Make: Interactive Structural Understanding Using ...
with: Zhang, P.: Predicting Failures of Vision Systems
with: Zhao, Y.P.: MERLOT RESERVE: Neural Script Knowledge through Vision and...
with: Zhu, Y.: Visual Semantic Planning Using Deep Successor Representations
302 for Farhadi, A.
Farhadi, M.
Standard Author Listing
with: Aker, C.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Amandi, R.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Beyerer, J.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Blumenstein, M.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Coluccia, A.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Daud, S.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: de Cubber, G.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Ghasemi, M.: Enabling Incremental Knowledge Transfer for Object Detect...
with: Ghenescu, M.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Kalkan, S.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Klatte, J.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Makkah, K.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Piatrik, T.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Saqib, M.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Schuchert, T.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Schumann, A.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Sharma, N.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Sommer, L.: Drone-vs-Bird detection challenge at IEEE AVSS2017
with: Vrudhula, S.: Enabling Incremental Knowledge Transfer for Object Detec...
with: Yang, Y.: Enabling Incremental Knowledge Transfer for Object Detection...
with: Yang, Y.Z.: TKD: Temporal Knowledge Distillation for Active Perception
21 for Farhadi, M.
Farhadiani, R.
Standard Author Listing
with: Homayouni, S.: Impact of Polarimetric SAR Speckle Reduction On Classif...
with: Safari, A.: Impact of Polarimetric SAR Speckle Reduction On Classifica...
Farhadinia, M.S.
Standard Author Listing
with: Gaviria, M.P.: Structural Connectivity of Asia's Protected Areas Netwo...
with: Kaszta, Z.: Structural Connectivity of Asia's Protected Areas Network:...
Farhadpour, S.
Standard Author Listing
with: Hosseinali, F.: Public Participation in Gis Via Mobile Applications fo...
with: Maxwell, A.E.: Selecting and Interpreting Multiclass Loss and Accuracy...
with: Warner, T.A.: Selecting and Interpreting Multiclass Loss and Accuracy ...
Farhan, A.R.
Standard Author Listing
with: Andayani, A.: 13 Years of changes in the extent and physiognomy of man...
with: Gaspar, P.: 13 Years of changes in the extent and physiognomy of mangr...
with: Germain, O.: 13 Years of changes in the extent and physiognomy of mang...
with: Gusmawati, N.F.: 13 Years of changes in the extent and physiognomy of ...
with: Lemonnier, H.: 13 Years of changes in the extent and physiognomy of ma...
with: Proisy, C.: 13 Years of changes in the extent and physiognomy of mangr...
with: Prosperi, J.: 13 Years of changes in the extent and physiognomy of man...
with: Rahmania, R.: 13 Years of changes in the extent and physiognomy of man...
with: Sidik, F.: 13 Years of changes in the extent and physiognomy of mangro...
with: Subki, B.: 13 Years of changes in the extent and physiognomy of mangro...
with: Suhardjono: 13 Years of changes in the extent and physiognomy of mangr...
with: Viennois, G.: 13 Years of changes in the extent and physiognomy of man...
with: Widagti, N.: 13 Years of changes in the extent and physiognomy of mang...
13 for Farhan, A.R.
Farhan, E.
Standard Author Listing
with: Hagege, R.R.: Geometric Expansion for Local Feature Analysis and Match...
with: Hagege, R.R.: Local Region Expansion: A Method for Analyzing and Refin...
with: Hagege, R.R.: Point matching via affine region expansion
with: Meir, E.: Local Region Expansion: A Method for Analyzing and Refining ...
Farhan, M.
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with: Aslam, M.: Real-time imaging-based assessment model for improving teac...
with: Jabbar, S.: Real-time imaging-based assessment model for improving tea...
with: Khalid, S.: Real-time imaging-based assessment model for improving tea...
with: Kim, M.: Real-time imaging-based assessment model for improving teachi...
with: Niemisto, A.: novel method for splitting clumps of convex objects inco...
with: Yli Harja, O.: novel method for splitting clumps of convex objects inc...
Farhand, S.
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with: Tsechpenakis, G.: Fading Affect Bias: Improving the Trade-Off Between ...
with: Tsechpenakis, G.: Foreground discovery in streaming videos with dynami...
with: Wang, Z.: Fading Affect Bias: Improving the Trade-Off Between Accuracy...
Farhang Boroujeny, B.
Standard Author Listing
with: Blair, S.: DSP Approach to the Design of Nonlinear Optical Devices
with: Chen, Y.: DSP Approach to the Design of Nonlinear Optical Devices
with: Neo, W.H.: Robust microphone arrays using subband adaptive filters
with: Pasrija, G.: DSP Approach to the Design of Nonlinear Optical Devices
with: Rezazadeh Reyhani, A.: Analytical Study of Circularly Pulse-Shaped FBM...
Farhang, A.
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with: Marchetti, N.: Spectral Domain Spline Graph Filter Bank
with: Miraki, A.: Spectral Domain Spline Graph Filter Bank
with: Saeedi Sourck, H.: Spectral Domain Spline Graph Filter Bank
Farhangfar, A.
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with: Dy, J.G.: Impact of imputation of missing values on classification err...
with: Kurgan, L.A.: Impact of imputation of missing values on classification...
Farhangi, M.M.
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with: Amini, A.A.: 3-D Active Contour Segmentation Based on Sparse Linear Co...
with: Amini, A.A.: Lung Nodule Malignancy Prediction in Sequential CT Scans:...
with: Arbelaez, P.: Lung Nodule Malignancy Prediction in Sequential CT Scans...
with: Bagari, A.: Lung Nodule Malignancy Prediction in Sequential CT Scans: ...
with: Balagurunathan, Y.: Lung Nodule Malignancy Prediction in Sequential CT...
with: Beers, A.: Lung Nodule Malignancy Prediction in Sequential CT Scans: S...
with: Castillo, L.S.: Lung Nodule Malignancy Prediction in Sequential CT Sca...
with: Daza, L.A.: Lung Nodule Malignancy Prediction in Sequential CT Scans: ...
with: Delgado Gonzalo, R.: Lung Nodule Malignancy Prediction in Sequential C...
with: Enguehard, J.: Lung Nodule Malignancy Prediction in Sequential CT Scan...
with: Farahani, K.: Lung Nodule Malignancy Prediction in Sequential CT Scans...
with: Fathy, M.: Informative visual words construction to improve bag of wor...
with: Feng, X.: Lung Nodule Malignancy Prediction in Sequential CT Scans: Su...
with: Frigui, H.: 3-D Active Contour Segmentation Based on Sparse Linear Com...
with: Frigui, H.: Lung Nodule Malignancy Prediction in Sequential CT Scans: ...
with: Gholipour, A.: Lung Nodule Malignancy Prediction in Sequential CT Scan...
with: Goldgof, D.: Lung Nodule Malignancy Prediction in Sequential CT Scans:...
with: Hadjiiski, L.: Lung Nodule Malignancy Prediction in Sequential CT Scan...
with: Kalpathy Cramer, J.: Lung Nodule Malignancy Prediction in Sequential C...
with: Kapur, T.: Lung Nodule Malignancy Prediction in Sequential CT Scans: S...
with: Mcnitt Gray, M.: Lung Nodule Malignancy Prediction in Sequential CT Sc...
with: Mehrtash, A.: Lung Nodule Malignancy Prediction in Sequential CT Scans...
with: Moon, J.W.: Lung Nodule Malignancy Prediction in Sequential CT Scans: ...
with: Napel, S.: Lung Nodule Malignancy Prediction in Sequential CT Scans: S...
with: Ni, R.: Lung Nodule Malignancy Prediction in Sequential CT Scans: Summ...
with: Perez, G.: Lung Nodule Malignancy Prediction in Sequential CT Scans: S...
with: Perez, G.B.: Lung Nodule Malignancy Prediction in Sequential CT Scans:...
with: Pinsky, P.: Lung Nodule Malignancy Prediction in Sequential CT Scans: ...
with: Safta, W.: Lung Nodule Malignancy Prediction in Sequential CT Scans: S...
with: Seow, A.: 3-D Active Contour Segmentation Based on Sparse Linear Combi...
with: Soryani, M.: Informative visual words construction to improve bag of w...
with: Vaidhya, K.: Lung Nodule Malignancy Prediction in Sequential CT Scans:...
with: Veasey, B.: Lung Nodule Malignancy Prediction in Sequential CT Scans: ...
with: Yang, E.: Lung Nodule Malignancy Prediction in Sequential CT Scans: Su...
34 for Farhangi, M.M.
Farhani, N.
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with: Boulet, G.: Analysis of Multispectral Drought Indices in Central Tunisia
with: Carreau, J.: Analysis of Multispectral Drought Indices in Central Tuni...
with: Chabaane, Z.L.: Analysis of Multispectral Drought Indices in Central T...
with: Kassouk, Z.: Analysis of Multispectral Drought Indices in Central Tuni...
with: Page, M.L.: Analysis of Multispectral Drought Indices in Central Tunisia
Farhanj, F.
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with: Janalipour, M.: Monitoring the Impacts of Human Activities on Urban Ec...
with: Tehrani, N.A.: Monitoring the Impacts of Human Activities on Urban Eco...
Farhaoui, Y.
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with: Aghoutane, B.: Toward a Stage-wise Classification of Date Palm White S...
with: El Hadi, M.L.: Application of the deep learning approach for identific...
with: El Youssefi, A.: Toward a Stage-wise Classification of Date Palm White...
with: Ellaoui, A.: Application of the deep learning approach for identificat...
with: Hessane, A.: Toward a Stage-wise Classification of Date Palm White Sca...
with: Nasri, M.: Application of the deep learning approach for identificatio...
Farhat, A.A.H.
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with: Al Qahtani, A.: HD number plate localization and character segmentatio...
with: Al Zawqari, A.: HD number plate localization and character segmentatio...
with: Amira, A.: HD number plate localization and character segmentation on ...
with: Bensaali, F.: HD number plate localization and character segmentation ...
with: Hommos, O.: HD number plate localization and character segmentation on...
with: Zhai, X.J.: HD number plate localization and character segmentation on...
Farhat, F.
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with: Ghaemmaghami, S.: Towards blind detection of low-rate spatial embeddin...
with: He, S.: Discovering Triangles in Portraits for Supporting Photographic...
with: Wang, J.Z.: Detecting Dominant Vanishing Points in Natural Scenes with...
with: Wang, J.Z.: Discovering Triangles in Portraits for Supporting Photogra...
with: Zhou, Z.: Detecting Dominant Vanishing Points in Natural Scenes with A...
with: Zhou, Z.: Discovering Triangles in Portraits for Supporting Photograph...
Farhat, H.
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with: Kilany, R.: Deep learning applications in pulmonary medical imaging: R...
with: Sakr, G.E.: Deep learning applications in pulmonary medical imaging: R...
Farhat, I.
Standard Author Listing
with: Farrugia, L.: Numerical Investigation of the Dispersion Law of Materia...
with: Persico, R.: Numerical Investigation of the Dispersion Law of Material...
with: Sammut, C.: Numerical Investigation of the Dispersion Law of Materials...
Farhat, J.
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with: Brante, G.: On the Secure Energy Efficiency of TAS/MRC With Relaying a...
with: Souza, R.D.: On the Secure Energy Efficiency of TAS/MRC With Relaying ...
Farhat, L.
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with: Daoud, B.: Deep Learning-Based Method for Predicting Volumes of Nasoph...
with: Daoud, J.: Deep Learning-Based Method for Predicting Volumes of Nasoph...
with: Kalaitzidis, C.: Modified Version of the Direct Sampling Method for Fi...
with: Kurazume, R.: Deep Learning-Based Method for Predicting Volumes of Nas...
with: Manakos, I.: Modified Version of the Direct Sampling Method for Fillin...
with: Miyauchi, S.: Deep Learning-Based Method for Predicting Volumes of Nas...
with: Mnejja, W.: Deep Learning-Based Method for Predicting Volumes of Nasop...
with: Morooka, K.: Deep Learning-Based Method for Predicting Volumes of Naso...
with: Sylaios, G.: Modified Version of the Direct Sampling Method for Fillin...
9 for Farhat, L.
Farhat, M.
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with: Mhiri, S.: Free training object detection based on multi-stage fusion ...
with: Tagina, M.: Free training object detection based on multi-stage fusion...
Farhat, W.
Standard Author Listing
with: Besbes, K.: Real-time embedded system for traffic sign recognition bas...
with: Faiedh, H.: Real-time embedded system for traffic sign recognition bas...
with: Souani, C.: Real-time embedded system for traffic sign recognition bas...
Farhi, L.
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with: Raza, R.H.: Adaptive stochastic segmentation via energy-convergence fo...
with: Yusuf, A.: Adaptive stochastic segmentation via energy-convergence for...
Farhi, N.
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with: Gabriel, G.: Feedback Control for Metro Lines With a Junction
with: Leurent, F.: Feedback Control for Metro Lines With a Junction
with: Phu, C.N.V.: Estimation of Road Traffic State at a Multilanes Controll...
with: Phu, C.N.V.: Estimation of Urban Traffic State With Probe Vehicles
with: Schanzenbacher, F.: Feedback Control for Metro Lines With a Junction
Farhi, S.H.
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with: Boughaci, D.: Graph based model for information retrieval using a stoc...
Farhi, S.L.
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with: Ben Sahel, Y.: Deep Unrolled Recovery in Sparse Biological Imaging: Ac...
with: Bryan, J.P.: Deep Unrolled Recovery in Sparse Biological Imaging: Achi...
with: Cleary, B.: Deep Unrolled Recovery in Sparse Biological Imaging: Achie...
with: Eldar, Y.C.: Deep Unrolled Recovery in Sparse Biological Imaging: Achi...
Farhidzadeh, H.
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with: Chakeri, A.: Spectral sparsification in spectral clustering
with: Hall, L.O.: Spectral sparsification in spectral clustering
Farhood, H.
Standard Author Listing
with: Blumenstein, M.: Counting People Based on Linear, Weighted, and Local ...
with: Cheng, E.: Enhanced 3D Point Cloud from a Light Field Image
with: He, X.: Counting People Based on Linear, Weighted, and Local Random Fo...
with: Jia, W.: Counting People Based on Linear, Weighted, and Local Random F...
with: Kim, J.: Enhanced 3D Point Cloud from a Light Field Image
with: Li, H.: Counting People Based on Linear, Weighted, and Local Random Fo...
with: Perry, S.: Enhanced 3D Point Cloud from a Light Field Image
7 for Farhood, H.