activity
20172020
most citedClassification of Aerial Photogrammetric 3D Point Clouds

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision

Nicolai Häni, Selim Engin, Jun-Jee Chao +1

Novel View Synthesis (NVS) is concerned with synthesizing views under camera viewpoint transformations from one or multiple input images. NVS requires explicit reasoning about 3D o…

cs.CV2019

MinneApple: A Benchmark Dataset for Apple Detection and Segmentation

Nicolai Häni, Pravakar Roy, Volkan Isler

In this work, we present a new dataset to advance the state-of-the-art in fruit detection, segmentation, and counting in orchard environments. While there has been significant rece…

cs.CV2019

Semantics-Aware Image to Image Translation and Domain Transfer

Pravakar Roy, Nicolai Häni, Jun-Jee Chao +1

Image to image translation is the problem of transferring an image from a source domain to a different (but related) target domain. We present a new unsupervised image to image tra…

cs.CV2018

A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards

Nicolai Häni, Pravakar Roy, Volkan Isler

We present new methods for apple detection and counting based on recent deep learning approaches and compare them with state-of-the-art results based on classical methods. Our goal…

cs.CV20174 cited

Classification of Aerial Photogrammetric 3D Point Clouds

Carlos Becker, Nicolai Häni, Elena Rosinskaya +2

We present a powerful method to extract per-point semantic class labels from aerialphotogrammetry data. Labeling this kind of data is important for tasks such as environmental mode…