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Leal-Taixe, Laura

  1. MOT16: A Benchmark for Multi-Object Tracking
    2016/03/02 by Anton Milan, Laura Leal-Taixé, Milan, Anton +7 · 96 citations
    Computer Science · Environmental Science · #Video Surveillance and Tracking Methods #Impact of Light on Environment and Health #Visual Attention and Saliency Detection
  2. Cosmos World Foundation Model Platform for Physical AI
    2025/01/07 by NVIDIA, Niket Agarwal, : +151 · 181 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  3. TrackFormer: Multi-Object Tracking with Transformers
    2021/01/07 by Tim Meinhardt, Alexander M. Kirillov, Meinhardt, Tim +5 · 43 citations
    Computer Science · #Video Surveillance and Tracking Methods #Human Pose and Action Recognition #Data Stream Mining Techniques
  4. Understanding the Limitations of CNN-based Absolute Camera Pose\n Regression
    2019/03/18 by Torsten Sattler, Qunjie Zhou, Sattler, Torsten +5 · 12 citations
    Computer Science · Earth and Planetary Sciences · Engineering · #3D Surveying and Cultural Heritage #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization
  5. ViPE: Video Pose Engine for 3D Geometric Perception
    2025/08/12 by Jiahui Huang, Qunjie Zhou, Huang, Jiahui +27 · 1 voice · 40 citations
    #cs.CV #cs.GR #cs.RO #eess.IV
  6. To Learn or Not to Learn: Visual Localization from Essential Matrices
    2019/08/04 by Zhou, Qunjie, Sattler, Torsten, Pollefeys, Marc +1 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  7. Text2Pos: Text-to-Point-Cloud Cross-Modal Localization
    2022/03/28 by Kolmet, Manuel, Zhou, Qunjie, Osep, Aljosa +1 · 5 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Patch2Pix: Epipolar-Guided Pixel-Level Correspondences
    2020/12/03 by Zhou, Qunjie, Sattler, Torsten, Leal-Taixe, Laura · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  9. Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
    2025/06/10 by Xuanchi Ren, Ren, Xuanchi, Yifan Lu +29 · 20 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  10. How To Train Your Deep Multi-Object Tracker
    2019/06/15 by Xu, Yihong, Osep, Aljosa, Ban, Yutong +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  11. NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation
    2023/08/29 by Tim Meinhardt, Meinhardt, Tim, Matt Feiszli +7 · 2 citations
    Computer Science · #Visual Attention and Saliency Detection #Image and Video Quality Assessment #Video Analysis and Summarization
  12. Multi-Object Tracking and Segmentation via Neural Message Passing
    2022/07/15 by Braso, Guillem, Cetintas, Orcun, Leal-Taixe, Laura · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
    2021/08/21 by Fabbri, Matteo, Braso, Guillem, Maugeri, Gianluca +6 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  14. CVPR19 Tracking and Detection Challenge: How crowded can it get?
    2019/06/10 by Patrick Dendorfer, Dendorfer, Patrick, Hamid Rezatofighi +15 · 2 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Machine Learning (cs.LG) #Video Surveillance and Tracking Methods
  15. The Group Loss++: A deeper look into group loss for deep metric learning
    2022/04/04 by Ismail Elezi, Elezi, Ismail, Jenny Seidenschwarz +11 · 1 citation
    Computer Science · Immunology and Microbiology · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Immune responses and vaccinations #Machine Learning (cs.LG) #Video Surveillance and Tracking Methods