A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution von Timofte, Radu, De Smet, Vincent, Van Gool, Luc

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A Survey on Deep Learning Technique for Video Segmentation von Zhou, Tianfei, Porikli, Fatih, Crandall, David J., Gool, Luc Van, Wang, Wenguan

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Advancing Learned Video Compression with In-loop Frame Prediction von Yang, Ren, Timofte, Radu, Van Gool, Luc

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Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution von Wang, Huan, Zhang, Yulun, Qin, Can, Gool, Luc Van, Fu, Yun

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Semantic Foggy Scene Understanding with Synthetic Data von Sakaridis, Christos, Dai, Dengxin, Van Gool, Luc

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Unsupervised Template Warp Consistency for Implicit Surface Correspondences von Liu, Mengya, Chhatkuli, Ajad, Postels, Janis, Gool, Luc Van, Tombari, Federico

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Plug-and-Play Image Restoration With Deep Denoiser Prior von Zhang, Kai, Li, Yawei, Zuo, Wangmeng, Zhang, Lei, Van Gool, Luc, Timofte, Radu

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Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis von Zhang, Kai, Li, Yawei, Liang, Jingyun, Cao, Jiezhang, Zhang, Yulun, Tang, Hao, Fan, Deng-Ping, Timofte, Radu, Gool, Luc Van

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Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning von Wang, Wenguan, Sun, Guolei, Van Gool, Luc

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Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation von Sakaridis, Christos, Dai, Dengxin, Van Gool, Luc

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Procedural modeling of buildings von Müller, Pascal, Wonka, Peter, Haegler, Simon, Ulmer, Andreas, Van Gool, Luc

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Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks von Rothe, Rasmus, Timofte, Radu, Van Gool, Luc

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Multi-Task Learning for Dense Prediction Tasks: A Survey von Vandenhende, Simon, Georgoulis, Stamatios, Van Gansbeke, Wouter, Proesmans, Marc, Dai, Dengxin, Van Gool, Luc

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Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation von Meng, Qinghao, Wang, Wenguan, Zhou, Tianfei, Shen, Jianbing, Jia, Yunde, Van Gool, Luc

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Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model von Yang, Ren, Mentzer, Fabian, Van Gool, Luc, Timofte, Radu

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Segmenting Objects From Relational Visual Data von Lu, Xiankai, Wang, Wenguan, Shen, Jianbing, Crandall, David J., Van Gool, Luc

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Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding von Dai, Dengxin, Sakaridis, Christos, Hecker, Simon, Van Gool, Luc

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Improving Depth Estimation Using Map-Based Depth Priors von Patil, Vaishakh, Liniger, Alexander, Dai, Dengxin, Van Gool, Luc

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How Good is Google Bard’s Visual Understanding? An Empirical Study on Open Challenges von Qin, Haotong, Ji, Ge-Peng, Khan, Salman, Fan, Deng-Ping, Khan, Fahad Shahbaz, Gool, Luc Van

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Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation von Hoyer, Lukas, Dai, Dengxin, Van Gool, Luc

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