Browsing by Subject "Object detection"

Now showing items 1-9 of 9

    • Change Point Detection for Ocean Eddy Analysis 

      Banesh, Divya; Wendelberger, Joanne; Petersen, Mark; Ahrens, James; Hamann, Bernd (The Eurographics Association, 2018)
      The detection and analysis of mesoscale ocean eddies is a complex task, made more difficult when simulated or observational ocean data are massive. We present the statistical approach of change point detection as a means ...

    • CT-Based Navigation Guidance for Liver Tumor Ablation 

      Alpers, Julian; Hansen, Christian; Ringe, Kristina; Rieder, Christian (The Eurographics Association, 2017)
      Image-guided thermal ablation procedures such as microwave ablation (MWA) or radiofrequency ablation (RFA) have become clinically accepted treatment options for liver tumors. The goal of these minimally invasive procedures ...

    • A Guided Spatial Transformer Network for Histology Cell Differentiation 

      Aubreville, Marc; Krappmann, Maximilian; Bertram, Christof; Klopfleisch, Robert; Maier, Andreas (The Eurographics Association, 2017)
      Identification and counting of cells and mitotic figures is a standard task in diagnostic histopathology. Due to the large overall cell count on histological slides and the potential sparse prevalence of some relevant cell ...

    • Investigating Deep Learning for Identification of Crabs and Lobsters on Fishing Boats 

      Iftikhar, Muhammad; Tiddeman, Bernard; Neal, Marie; Hold, Natalie; Neal, Mark (The Eurographics Association, 2023)
      This paper describes a collaboration between marine and computer scientists to improve fisheries data collection. We evaluate deep learning (DL)-based solutions for identifying crabs and lobsters onboard fishing boats. A ...

    • Multimodal Early Raw Data Fusion for Environment Sensing in Automotive Applications 

      Pederiva, Marcelo Eduardo; Martino, José Mario De; Zimmer, Alessandro (The Eurographics Association, 2022)
      Autonomous Vehicles became every day closer to becoming a reality in ground transportation. Computational advancement has enabled powerful methods to process large amounts of data required to drive on streets safely. The ...

    • Saliency-aware Real-time Volumetric Fusion for Object Reconstruction 

      Yang, Sheng; Chen, Kang; Liu, Minghua; Fu, Hongbo; Hu, Shi-Min (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      We present a real-time approach for acquiring 3D objects with high fidelity using hand-held consumer-level RGB-D scanning devices. Existing real-time reconstruction methods typically do not take the point of interest into ...

    • ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions 

      Haedecke, Elena; Mock, Michael; Akila, Maram (The Eurographics Association, 2022)
      We present ScrutinAI, a Visual Analytics approach to exploit semantic understanding for deep neural network (DNN) predictions analysis, focusing on models for object detection and semantic segmentation. Typical fields of ...

    • TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning 

      Wang, Yongzhen; Yan, Xuefeng; Zhang, Kaiwen; Gong, Lina; Xie, Haoran; Wang, Fu Lee; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Adverse weather conditions such as haze, rain, and snow often impair the quality of captured images, causing detection networks trained on normal images to generalize poorly in these scenarios. In this paper, we raise an ...

    • Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories 

      Mura, Claudio; Pajarola, Renato; Schindler, Konrad; Mitra, Niloy (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Recent years have seen a proliferation of new digital products for the efficient management of indoor spaces, with important applications like emergency management, virtual property showcasing and interior design. While ...