How many papers are associated with the establishment of the author who published the article 'Support Vector Shape: A Classifier-Based Shape Representation'?
1141
Yizhe Zhang et al.: AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. (2021) authored by Fatih Porikli. Liyuan Pan et al.: Simultaneous Stereo Video Deblurring and Scene Flow Estimation. (2017) authored by Fatih Porikli. Yunxiao Shi et al.: EGA-Dep Fatih Porikli and Zafer Sahinoglu: Dynamic bandwidth allocation with optimal number of renegotiations in ATM networks. (2001) authored by Fatih Porikli. Seungjun Nah et al.: NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. (2019) authored by Fatih Porikli. Antoine Mercier et al.: Efficient neural supersampling on a novel gaming dataset. (2023) authored by Fatih Porikli. Guillaume Berger et al.: QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms. (2018) authored by Fatih Porikli. Liyuan Pan et al.: Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation Risheek Garrepalli et al.: DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. (2023) authored by Fatih Porikli. Ratheesh Kalarot and Fatih Porikli: MultiBoot Vsr: Multi-Stage Multi-Reference Bootstrapping for Video Super-Resolution. (2019) authored by Fatih Porikli. Aleksandr Ermolov et al.: Neural 5G Indoor Localization with IoT. (2018) authored by Fatih Porikli. Liyuan Pan et al.: Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps. (2018) authored by Fatih Porikli. Amirhossein Habibian et al.: Delta Distillation for Efficient Video Processing. (2022) authored by Fatih Porikli. Xingping Dong et al.: Dynamical Hyperparameter Optimization via Depth-Embedded Convolutional Neural Networks. (2020) authored by Fatih Porikli. Aleksandr Ermolov et al.: Neural 5G Indoor Scene Understanding in 2.5/3D for Autonom Xiankai Lu et al.: See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks. (2019) authored by Fatih Porikli. Seunghan Yang et al.: Distribution Estimation to Automate Transformation Policies for Self-Supervision. (2018) authored by Fatih Porikli. Chongyi Li et al.: LightenNet: A Convolutional Neural Network for weak authored by Fatih Porikli. Moloud Abdar et al.: A Review of Deep Learning for Video Captioning. (2023) authored by Porikli. Chongyi Li et al.: DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement. (2019) authored by Porikli. Runmin Cong et al.: A Survey on Deep Learning Technique for Video Segmentation with Super-Tra
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Question: How many papers are associated with the establishment of the author who published the article 'Support Vector Shape: A Classifier-Based Shape Representation'?
Context: Yizhe Zhang et al.: AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. (2021) authored by Fatih Porikli. Liyuan Pan et al.: Simultaneous Stereo Video Deblurring and Scene Flow Estimation. (2017) authored by Fatih Porikli. Yunxiao Shi et al.: EGA-Dep Fatih Porikli and Zafer Sahinoglu: Dynamic bandwidth allocation with optimal number of renegotiations in ATM networks. (2001) authored by Fatih Porikli. Seungjun Nah et al.: NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. (2019) authored by Fatih Porikli. Antoine Mercier et al.: Efficient neural supersampling on a novel gaming dataset. (2023) authored by Fatih Porikli. Guillaume Berger et al.: QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms. (2018) authored by Fatih Porikli. Liyuan Pan et al.: Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation Risheek Garrepalli et al.: DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. (2023) authored by Fatih Porikli. Ratheesh Kalarot and Fatih Porikli: MultiBoot Vsr: Multi-Stage Multi-Reference Bootstrapping for Video Super-Resolution. (2019) authored by Fatih Porikli. Aleksandr Ermolov et al.: Neural 5G Indoor Localization with IoT. (2018) authored by Fatih Porikli. Liyuan Pan et al.: Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps. (2018) authored by Fatih Porikli. Amirhossein Habibian et al.: Delta Distillation for Efficient Video Processing. (2022) authored by Fatih Porikli. Xingping Dong et al.: Dynamical Hyperparameter Optimization via Depth-Embedded Convolutional Neural Networks. (2020) authored by Fatih Porikli. Aleksandr Ermolov et al.: Neural 5G Indoor Scene Understanding in 2.5/3D for Autonom Xiankai Lu et al.: See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks. (2019) authored by Fatih Porikli. Seunghan Yang et al.: Distribution Estimation to Automate Transformation Policies for Self-Supervision. (2018) authored by Fatih Porikli. Chongyi Li et al.: LightenNet: A Convolutional Neural Network for weak authored by Fatih Porikli. Moloud Abdar et al.: A Review of Deep Learning for Video Captioning. (2023) authored by Porikli. Chongyi Li et al.: DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement. (2019) authored by Porikli. Runmin Cong et al.: A Survey on Deep Learning Technique for Video Segmentation with Super-Tra
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