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- University of California, BerkeleyUS246 papers
- California Institute of TechnologyUS23 papers
- Lawrence Berkeley National LaboratoryUS16 papers
- University of ChicagoUS14 papers
- UCLA HealthUS13 papers
- Google (United States)US12 papers
- Moscow Institute of Thermal TechnologyRU11 papers
- University of MichiganUS11 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Michigan Science CenterUS10 papers
- University of California, Santa CruzUS10 papers
- Cornell UniversityUS9 papers
4 papers · 2 filters
Temporal LiDAR Frame Prediction for Autonomous Driving
David Deng, Avideh Zakhor
Anticipating the future in a dynamic scene is critical for many fields such as autonomous driving and robotics. In this paper we propose a class of novel neural network architectur…
Learned Dual-View Reflection Removal
Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron +4
Traditional reflection removal algorithms either use a single image as input, which suffers from intrinsic ambiguities, or use multiple images from a moving camera, which is inconv…
Learning to Factorize and Relight a City
Andrew Liu, Shiry Ginosar, Tinghui Zhou +2
We propose a learning-based framework for disentangling outdoor scenes into temporally-varying illumination and permanent scene factors. Inspired by the classic intrinsic image dec…
Deep Isometric Learning for Visual Recognition
Haozhi Qi, Chong You, Xiaolong Wang +2
Initialization, normalization, and skip connections are believed to be three indispensable techniques for training very deep convolutional neural networks and obtaining state-of-th…