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2021 November

Full List of papers - updated weekly

  • Nerfies: Deformable Neural Radiance Fields (YoonwooJeong)
  • HyperNeRF: A Higher-Dimensional REpresentation for Topologically Varying Neural Radiance Fields (YoonwooJeong)
  • Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes (YoonwooJeong)
  • ABO: Dataset and Benchmarks for Real-World 3D Object Understanding (YoonwooJeong)
  • TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering (YoonwooJeong)
  • iNeRF: Inverting Neural Radiance Fields for Pose Estimation (YoonwooJeong)
  • Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction (YoonwooJeong)
  • DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks (YoonwooJeong)
  • IBRNet: Learning Multi-View Image-Based Rendering (YoonwooJeong)
  • Neural Rays for Occlusion-aware Image-based Rendering (YoonwooJeong)
  • Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields (YoonwooJeong)
  • Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (YoonwooJeong)
  • RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs (YoonwooJeong)
  • The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks (YoonwooJeong)
  • Florence: A New Foundation Model for Computer Vision (Minguk)
  • EagleEye: Wearable Camera-based Person Identification in Crowded Urban Spaces (Seungwook)
  • PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments (Seungwook)
  • Differentiating Higher and Lower Job Performers in the Workspace Using Mobile Sensing (Seungwook)
  • Towards Reverse-Engineering Black-Box Neural Networks (Seungwook)
  • Revealing Scenes by Inverting Structure from Motion Reconstruction (Seungwook)