Robust Photo-topography by Fusing Shape-from-Shading and Stereo by Thompson, Clay Matthew

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Component based recognition of objects in an office environment by Morgenstern, Christian, Heisele, Bernd

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A Gaussian Approximation of Feature Space for Fast Image Similarity by Gharbi, Michael, Malisiewicz, Tomasz, Paris, Sylvain, Durand, Frédo

Subjects: “…Image retrieval, object detection, computer vision, parametric model…”
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Pluralistic image completion by Zheng, Chuanxia, Cham, Tat-Jen, Cai, Jianfei

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A generative model for depth-based robust 3D facial pose tracking by Sheng, Lu, Cai, Jianfei, Cham, Tat-Jen, Pavlovic, Vladimir, Ngan, King Ngi

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Real-time robust multi-lane detection and tracking in challenging urban scenarios by Zhou, Hui, Zhang, Handuo, Hasith, Karunasekera, Wang, Han

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SegEQA : video segmentation based visual attention for embodied question answering by Luo, Haonan, Lin, Guosheng, Liu, Zichuan, Liu, Fayao, Tang, Zhenmin, Yao, Yazhou

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Weakly supervised segmentation with maximum bipartite graph matching by Liu, Weide, Zhang, Chi, Lin, Guosheng, Hung, Tzu-Yi, Miao, Chunyan

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A spatial-channel hierarchical deep learning network for pixel-level automated crack detection by Pan, Yue, Zhang, Gaowei, Zhang, Limao

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Unsupervised action segmentation in videos with clustering algorithms by Lim, Isaac Sheng Yang

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Grounding referring expression in computer vision by Yuen, Shaun Chien Wee

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Enhance multi-object tracking with learnable re-identification by Hu, Zihao

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A computer vision and smartphone-based tool for onsite color correction and dimensional measurements by Xiong, Wenxi

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Car cabin object detection using artificial intelligence (multimodal object detection) by Li, Ying

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Synthetic dataset generation for driving scenes in low visibility and light conditions using GTAV by Ng, Ho Chi

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Aligning vision and language for image captioning using deep learning by Cai, Chen

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Advancing machine learning in astrophysics by Walmsley, M

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Vision-based legged robot navigation: localisation, local planning, learning by Mattamala Aravena, M

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Unsupervised learning and continual learning in neural networks by Ji, X

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Understanding convolutional neural networks by Fong, R

Subjects: “…Computer vision…”