Placing objects in context via inpainting for out-of-distribution segmentation by De Jorge, P, Volpi, R, Dokania, PK, Torr, PHS, Rogez, G

“…When deploying a semantic segmentation model into the real world, it will inevitably encounter semantic classes that were not seen during training. …”

FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML by Liu, Brian, Mazumder, Rahul

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Continual semantic segmentation via image and latent space consistency by Wang, Zhichao

“…In this thesis, my continual-learning research process is introduced in detail, including a novel method and two regulators, which contribute to anti-forgetting Result in continual learning in the semantic segmentation area. Firstly a real-time semantic segmentation model called ERFnet is evaluated, then based on this network and Cityscapes dataset, a model-recall method is proposed which could significantly reduce the catastrophic forgetting which happens in the process of continual learning in the semantic segmentation area; inspired by mentors, 2 regulators are also conducted which were expected to further improve performance (one regulator is come up by mentors and another is by myself). …”
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Segmentation and analysis of cement particles in cement paste with deep learning by Qian, Hanjie, Li, Ye, Yang, Jianfei, Xie, Lihua, Tan, Kang Hai

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Segment anything: real-time AI model interaction and visualization by Wang, Jingwei

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Automatic knee segmentation from multi-contrast MR images by Zhang, Kunlei

“…Also, the proposed cartilage segmentation scheme can be applied to the segmentation of other joint structures. …”
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The Japanese economy in crises : a time series segmentation study by Cheong, Siew Ann, Fornia, Robert Paulo, Lee, Gladys Hui Ting, Kok, Jun Liang, Yim, Woei Shyr, Xu, Danny Yuan, Zhang, Yiting

“…The authors performed a comprehensive time series segmentation study on the 36 Nikkei Japanese industry indices from 1 January 1996 to 11 June 2010. …”
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3D-aware instance segmentation and tracking in egocentric videos by Bhalgat, Y, Tschernezki, V, Laina, I, Henriques, JF, Vedaldi, A, Zisserman, A

“…Leveraging our tracked instance segmentations, we showcase downstream applications in 3D object reconstruction and amodal video object segmentation in these egocentric settings.…”

Humanising GrabCut: learning to segment humans using the Kinect by Gulshan, V, Lempitsky, V, Zisserman, A

“…To this end we investigate learning to automatically segment humans from cluttered images (without depth information) given a bounding box. …”

Using multiple segmentations to discover objects and their extent in image collections by Russell, BC, Efros, AA, Sivic, J, Freeman, WT, Zisserman, A

“…Given a large dataset of images, we seek to automatically determine the visually similar object and scene classes together with their image segmentation. To achieve this we combine two ideas: (i) that a set of segmented objects can be partitioned into visual object classes using topic discovery models from statistical text analysis; and (ii) that visual object classes can be used to assess the accuracy of a segmentation. …”

Segmentation of magnetic resonance images for assessing neonatal brain maturation by Wang, S

“…We also investigate atlas-based whole brain segmentation that generates the binary mask for the region of interest. …”

DiffuSeg: domain-driven diffusion for medical image segmentation by Zhang, L, Wu, F, Bronik, K, Papiez, BW

“…Initially, we apply our method to the MNIST dataset and subsequently adapt it for use with medical image segmentation datasets, such as retinal fundus images for vessel segmentation and MRI images for heart segmentation. …”

Image-based light source detection estimation for photorealistic, augmented reality / by Hasan Z. H. Alhajhamad, 1985-, author 607185, Mohd. Shahrizal Sunar, supervisor 202579, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Image-based light source detection estimation for photorealistic, augmented reality / by Hasan Z. H. Alhajhamad, 1985-, author

AI-Augmented Interface for Incremental App Development in MIT App Inventor by Granquist, Ashley

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AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy by Schoenegger, Philipp, Park, Peter, Karger, Ezra, Trott, Sean, Tetlock, Philip

“…We further examine whether LLM forecasting augmentation disproportionately benefits less skilled forecasters, degrades the wisdom-of-the-crowd by reducing prediction diversity, or varies in effectiveness with question difficulty. …”
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Augmented Lagrangian coordination for energy-optimal allocation of smart manufacturing services by Zhang, Geng, Wang, Gang, Chen, Chun-Hsien, Cao, Xiangang, Zhang, Yingfeng, Zheng, Pai

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Interactive photo booth augmented reality mobile application PetXEL by Zhou, Hongyin

“…Augmented Reality (AR) is a rapidly growing technology that connects the digital and the real world, it has been implemented in various industries. …”
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Augmenting images of non-rigid scenes using point and curve correspondences by Bartoli, A, von Tunzelmann, E, Zisserman, A

“…Our goal is to augment images of non-rigid scenes coming from single-camera footage. …”

Usability analysis of marker-based augmented reality application for the microcontroller study by Kutty, Suhaili Beeran, Nazri, Muhammad Azim, Che Anuar, Che Nur Shafareen Afera, Kassim, Murizah, Sulaiman, Norakmar Arbain

“…Virtual labs using augmented reality (AR) applications have brought transformation in teaching laboratory courses. …”
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