Which institute has more publications, University of Twente or the affiliation of the writer of 'Compressive Clustering of High-Dimensional Data'?
University of Twente
Xiaokun Li and Fatih Murat Porikli: A hidden markov model framework for traffic event detection using video features. (2004) authored by Fatih Porikli. Jisoo Jeong et al.: DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. Fatih Porikli and Oncel Tuzel: Bayesian background modeling for foreground detection. (2005) authored by Fatih Porikli. Muzammal Naseer et al.: On Improving Adversarial Transferability of Vision Transformers. (2023) authored by Fatih Porikli. Xingping Dong et al.: Hyperparameter Optimization for Video Captioning. (2018) authored by Fatih Porikli. Samitha Herath et al.: Going Deeper into Action Recognition: A Survey. (2016) authored by Fatih Porikli. Jing Zhang et al.: Multi-Scale Salient Object Detection via Depth-Embdded Convolutional Neural Networks. (2018) authored by Fatih Porikli. Yingyue Xu et al.: Detecting 3D geometric boundaries of indoor scenes under varying lighting. (2018) authored by Fatih Porikli. Haoyang Zhang et al.: On Improving Adversarial Transferability of Vision Transformers. (2016) authored by Fatih Porikli. Fatih Porikli and Yao Wang: Constrained video object segmentation by color masks and MPEG-7 descriptors. (2018) authored by Fatih Porikli. Hanxi Li et al.: Real-Time Deep Tracking via Corrective Domain. (2018) authored by Fatih Porikli. Fatih Porikli and Jay Thornton: Shadow Flow: A Recursive Method to Learn Moving Cast Shadows. (2015) authored by Fatih Porikli. Minghua Liu et al.: PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. (2022) authored by Fatih Porikli. Aiwen Jiang et al.: Compositional Memory for Visual Question Answering. (2015) authored by Fatih Porikli. Risheek Garrepalli et al.: DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. (2023) authored by Fatih Porikli. Muzammal Naseer et al.: Local Gradients Smoothing: Defense Against Localized Adversarial Attack. <unk>n<unk>nThis article about an American electrical engineer is a stub. authored by Fatih Porikli'<unk>.
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Question: Which institute has more publications, University of Twente or the affiliation of the writer of 'Compressive Clustering of High-Dimensional Data'?
Context: Xiaokun Li and Fatih Murat Porikli: A hidden markov model framework for traffic event detection using video features. (2004) authored by Fatih Porikli. Jisoo Jeong et al.: DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. Fatih Porikli and Oncel Tuzel: Bayesian background modeling for foreground detection. (2005) authored by Fatih Porikli. Muzammal Naseer et al.: On Improving Adversarial Transferability of Vision Transformers. (2023) authored by Fatih Porikli. Xingping Dong et al.: Hyperparameter Optimization for Video Captioning. (2018) authored by Fatih Porikli. Samitha Herath et al.: Going Deeper into Action Recognition: A Survey. (2016) authored by Fatih Porikli. Jing Zhang et al.: Multi-Scale Salient Object Detection via Depth-Embdded Convolutional Neural Networks. (2018) authored by Fatih Porikli. Yingyue Xu et al.: Detecting 3D geometric boundaries of indoor scenes under varying lighting. (2018) authored by Fatih Porikli. Haoyang Zhang et al.: On Improving Adversarial Transferability of Vision Transformers. (2016) authored by Fatih Porikli. Fatih Porikli and Yao Wang: Constrained video object segmentation by color masks and MPEG-7 descriptors. (2018) authored by Fatih Porikli. Hanxi Li et al.: Real-Time Deep Tracking via Corrective Domain. (2018) authored by Fatih Porikli. Fatih Porikli and Jay Thornton: Shadow Flow: A Recursive Method to Learn Moving Cast Shadows. (2015) authored by Fatih Porikli. Minghua Liu et al.: PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. (2022) authored by Fatih Porikli. Aiwen Jiang et al.: Compositional Memory for Visual Question Answering. (2015) authored by Fatih Porikli. Risheek Garrepalli et al.: DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. (2023) authored by Fatih Porikli. Muzammal Naseer et al.: Local Gradients Smoothing: Defense Against Localized Adversarial Attack. <unk>n<unk>nThis article about an American electrical engineer is a stub. authored by Fatih Porikli'<unk>.
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