AES-128 structure. حسب Hai Huang (140371)

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Fig 7 - حسب Umhara Rasool Khan (20663205)

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Architecture of ANN model used in this work. حسب Umhara Rasool Khan (20663205)

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Comparison of attack results on the DPA contest v4 dataset. حسب Hai Huang (140371)

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A single Inception module structures the feature extraction process. حسب Hai Huang (140371)

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Polar plot of the antenna design. حسب Umhara Rasool Khan (20663205)

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Self-attention module for the features learning. حسب Yasir Khan Jadoon (21433231)

"…After that, the second module is designed based on the self-attention mechanism. The learned weights of the first module are passed to self-attention, extract the most essential features, and can easily discriminate complex human actions. …"

Time-lapse microscopy movie from the bacterial mother machine test set processed by Cell-TRACTR. حسب Owen M. O’Connor (11965460)

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Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... حسب Owen M. O’Connor (11965460)

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(A) Example illustrating the correlation between the final prediction of an object query and where the object query is derived from within the multi-scale features. Colored pixels... حسب Owen M. O’Connor (11965460)

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Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set for the DeepCell dataset... حسب Owen M. O’Connor (11965460)

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The encoder employs deformable self-attention to transform multi-scale features into encoded multi-scale features. Query selection is used to derive the object queries from these e... حسب Owen M. O’Connor (11965460)

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Schematic demonstrating how Cell-TRACTR tracks cells post-division. The dark blue cell at time t₁ is predicted to divide at time t₂. The content embedding is... حسب Owen M. O’Connor (11965460)

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Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set containing 29 movies fro... حسب Owen M. O’Connor (11965460)

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Depiction of how predictions are made from the output embeddings. The largest encoded multi-scale feature map is resized and combined with the original multi-scale features to form... حسب Owen M. O’Connor (11965460)

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Effect of segmentation mask resolution on CUDA memory usage and performance metrics. (A) Memory usage as a function of queries when Cell-TRACTR produces a segmentation mask with th... حسب Owen M. O’Connor (11965460)

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Diagram illustrating how the iterative bounding box refinement method works with cell divisions. When tracking the cell from t₀ to t₁, the bounding box from t... حسب Owen M. O’Connor (11965460)

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Example showing how OP_CTB can reward a tracker for predicting no division rather than predicting a division one frame too early or late. Acyclic oriented graph matching... حسب Owen M. O’Connor (11965460)

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Cells are initially detected in frame t₀ and then tracked to frame t₁. Object queries are processed in the first layer of the decoder for object detection. In... حسب Owen M. O’Connor (11965460)

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Time-lapse microscopy movie from the mammalian DeepCell test set processed by Cell-TRACTR. حسب Owen M. O’Connor (11965460)

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