1.4k citations · 4.7k across the 67 of their papers we have counts for
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Self-supervised Object Motion and Depth Estimation from Video
Qi Dai, Vaishakh Patil, Simon Hecker +3
We present a self-supervised learning framework to estimate the individual object motion and monocular depth from video. We model the object motion as a 6 degree-of-freedom rigid-b…
Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner +1
We propose a new STAckable Recurrent cell (STAR) for recurrent neural networks (RNNs), which has fewer parameters than widely used LSTM and GRU while being more robust against vani…
From Google Maps to a Fine-Grained Catalog of Street trees
Steve Branson, Jan Dirk Wegner, David Hall +3
Up-to-date catalogs of the urban tree population are important for municipalities to monitor and improve quality of life in cities. Despite much research on automation of tree mapp…
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl, Katrin Lasinger, David Hafner +2
The success of monocular depth estimation relies on large and diverse training sets. Due to the challenges associated with acquiring dense ground-truth depth across different envir…
CVPR19 Tracking and Detection Challenge: How crowded can it get?
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan +6
Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide…
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang, Konrad Schindler, Jan Dirk Wegner
Sentinel-2 multi-spectral images collected over periods of several months were used to estimate vegetation height for Gabon and Switzerland. A deep convolutional neural network (CN…