Search Results - "Hane, Christian"

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  1. 1

    Hierarchical Surface Prediction by Hane, Christian, Tulsiani, Sohubham, Malik, Jitendra

    “…Recently, Convolutional Neural Networks have shown promising results for 3D geometry prediction. They can make predictions from very little input data such as…”
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    Journal Article
  2. 2

    Large-scale outdoor 3D reconstruction on a mobile device by Schöps, Thomas, Sattler, Torsten, Häne, Christian, Pollefeys, Marc

    Published in Computer vision and image understanding (01-04-2017)
    “…•Approach for reconstructing large-scale outdoor scenes using monocular motion stereo.•Runs at interactive frame rates on a Google Project Tango Development…”
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    Journal Article
  3. 3

    Obstacle detection for self-driving cars using only monocular cameras and wheel odometry by Hane, Christian, Sattler, Torsten, Pollefeys, Marc

    “…Mapping the environment is crucial to enable path planning and obstacle avoidance for self-driving vehicles and other robots. In this paper, we concentrate on…”
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    Conference Proceeding
  4. 4

    Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality by Chen, Yu-Chih, Saha, Avinab, Chapiro, Alexandre, Hane, Christian, Bazin, Jean-Charles, Qiu, Bo, Zanetti, Stefano, Katsavounidis, Ioannis, Bovik, Alan C.

    Published in IEEE transactions on image processing (01-01-2024)
    “…We study the visual quality judgments of human subjects on digital human avatars (sometimes referred to as "holograms" in the parlance of virtual reality [VR]…”
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    Journal Article
  5. 5

    Multiresolution Deep Implicit Functions for 3D Shape Representation by Chen, Zhang, Zhang, Yinda, Genova, Kyle, Fanello, Sean, Bouaziz, Sofien, Hane, Christian, Du, Ruofei, Keskin, Cem, Funkhouser, Thomas, Tang, Danhang

    “…We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchical representation that can recover fine geometry detail, while being able to perform…”
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    Conference Proceeding
  6. 6

    Real-Time Direct Dense Matching on Fisheye Images Using Plane-Sweeping Stereo by Hane, Christian, Heng, Lionel, Gim Hee Lee, Sizov, Alexey, Pollefeys, Marc

    “…In this paper, we propose an adaptation of camera projection models for fisheye cameras into the plane-sweeping stereo matching algorithm. This adaptation…”
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    Conference Proceeding
  7. 7

    Class Specific 3D Object Shape Priors Using Surface Normals by Hane, Christian, Savinov, Nikolay, Pollefeys, Marc

    “…Dense 3D reconstruction of real world objects containing textureless, reflective and specular parts is a challenging task. Using general smoothness priors such…”
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    Conference Proceeding
  8. 8

    Direction matters: Depth estimation with a surface normal classifier by Hane, Christian, Ladicky, L'ubor, Pollefeys, Marc

    “…In this work we make use of recent advances in data driven classification to improve standard approaches for binocular stereo matching and single view depth…”
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    Conference Proceeding
  9. 9

    Discrete optimization of ray potentials for semantic 3D reconstruction by Savinov, Nikolay, Ladicky, L'ubor, Hane, Christian, Pollefeys, Marc

    “…Dense semantic 3D reconstruction is typically formulated as a discrete or continuous problem over label assignments in a voxel grid, combining semantic and…”
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    Conference Proceeding
  10. 10

    Segment based 3D object shape priors by Mahabadi, Rabeeh Karimi, Hane, Christian, Pollefeys, Marc

    “…Dense 3D reconstruction still remains a hard task for a broad number of object classes which are not sufficiently textured or contain transparent and…”
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    Conference Proceeding
  11. 11

    3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection by Häne, Christian, Heng, Lionel, Lee, Gim Hee, Fraundorfer, Friedrich, Furgale, Paul, Sattler, Torsten, Pollefeys, Marc

    Published in Image and vision computing (01-12-2017)
    “…Cameras are a crucial exteroceptive sensor for self-driving cars as they are low-cost and small, provide appearance information about the environment, and work…”
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    Journal Article
  12. 12

    HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching by Tankovich, Vladimir, Hane, Christian, Zhang, Yinda, Kowdle, Adarsh, Fanello, Sean, Bouaziz, Sofien

    “…This paper presents HITNet, a novel neural network architecture for real-time stereo matching. Contrary to many recent neural network approaches that operate…”
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    Conference Proceeding
  13. 13

    Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning by Kuo, Weicheng, Hӓne, Christian, Mukherjee, Pratik, Malik, Jitendra, Yuh, Esther L.

    “…Computed tomography (CT) of the head is used worldwide to diagnose neurologic emergencies. However, expertise is required to interpret these scans, and even…”
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    Journal Article
  14. 14

    What Is Optimized in Convex Relaxations for Multilabel Problems: Connecting Discrete and Continuously Inspired MAP Inference by Zach, Christopher, Hane, Christian, Pollefeys, Marc

    “…In this work, we present a unified view on Markov random fields (MRFs) and recently proposed continuous tight convex relaxations for multilabel assignment in…”
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    Journal Article
  15. 15

    Dense Semantic 3D Reconstruction by Hane, Christian, Zach, Christopher, Cohen, Andrea, Pollefeys, Marc

    “…Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed problem. Strong regularizers are therefore required to constrain…”
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    Journal Article
  16. 16

    Deep Implicit Volume Compression by Tang, Danhang, Singh, Saurabh, Chou, Philip A., Hane, Christian, Dou, Mingsong, Fanello, Sean, Taylor, Jonathan, Davidson, Philip, Guleryuz, Onur G., Zhang, Yinda, Izadi, Shahram, Tagliasacchi, Andrea, Bouaziz, Sofien, Keskin, Cem

    “…We describe a novel approach for compressing truncated signed distance fields (TSDF) stored in 3D voxel grids, and their corresponding textures. To compress…”
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    Conference Proceeding
  17. 17

    Learning Independent Object Motion From Unlabelled Stereoscopic Videos by Cao, Zhe, Kar, Abhishek, Hane, Christian, Malik, Jitendra

    “…We present a system for learning motion maps of independently moving objects from stereo videos. The only annotations used in our system are 2D object bounding…”
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    Conference Proceeding
  18. 18

    Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint by Savinov, Nikolay, Hane, Christian, Ladicky, Lubor, Pollefeys, Marc

    “…We propose an approach for dense semantic 3D reconstruction which uses a data term that is defined as potentials over viewing rays, combined with continuous…”
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    Conference Proceeding
  19. 19

    Joint 3D Scene Reconstruction and Class Segmentation by Hane, Christian, Zach, Christopher, Cohen, Andrea, Angst, Roland, Pollefeys, Marc

    “…Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed problem. Strong regularizers are therefore required to constrain…”
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    Conference Proceeding
  20. 20

    An overview of recent progress in volumetric semantic 3D reconstruction by Hane, Christian, Pollefeys, Marc

    “…This paper gives an overview of a recently proposed method of solving dense 3D reconstruction and semantic segmentation from multiple input images in a joint…”
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    Conference Proceeding