Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Object proposals"”.
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Object Proposals in Computer Vision
Object recognition is a central problem in computer vision which deals with both localizing and identifying objects in images. Object proposals have recently become an important part of the object recognition process. Object proposals are algorithms used for localizing objects in images. This …
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Learning to Generate and Refine Object Proposals
Visual object recognition is a fundamental and challenging problem in computer vision. To build a practical recognition system, one is first confronted with high computation complexity due to an enormous search space from an image, which is caused by large variations in object appearance, pose and …
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Learning to Generate and Refine Object Proposals
Visual object recognition is a fundamental and challenging problem in computer vision. To build a practical recognition system, one is first confronted with high computation complexity due to an enormous search space from an image, which is caused by large variations in object appearance, pose and …
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Object understanding in generalized video segmentation
Spatio-temporal object representation is a key component in video understanding and is important for tasks like generalized video segmentation. Current methods often fail to represent objects spatio-temporally, by failing to capture the motion and interactions of objects over time, leading to …
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A Unified Multiscale Encoder-Decoder Transformer for Video Segmentation
… of feature encoding, context encoding and object decoding in an encoder-decoder model. Correspondingly, we present a Multiscale Encoder-Decoder Video Transformer (MED-VT) that uses multiscale representation throughout and employs an optional input beyond video (e.g., audio), when available, …
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A Graph Convolutional Neural Network Based Approach for Object Tracking Using Augmented Detections With Optical Flow
… thesis presents a novel method for online Multi-Object Tracking (MOT) using Graph Convolutional Neural Network (GCNN) based feature extraction and end-to-end feature matching for object association. The Graph based approach incorporates both appearance and geometry of objects at past frames as …
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3D sensing and mapping using mobile color and depth sensors
… distance between the camera and the surrounding objects present in the scene. These depth sensors project infrared rays that are invisible to humans to measure the scene distance at each pixel. These sensors already have had a significant impact on various fields such as computer vision, gaming, …
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Learning multiple solutions to computer vision problems
… 9, 10], image segmentation [11, 12, 13, 14, 15], object detection [16, 17, 12, 18] and vision language tasks, e.g. image captioning [19, 20, 21], visual question answering [22, 23, 24, 25, 26] etc. Convolutional neural networks [27, 28] and/or Recurrent Neural Networks [29] trained to regress to a …