37 citations · 61 across the 8 of their papers we have counts for
12 papers · 1 filter
High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention
André Peter Kelm, Niels Hannemann, Bruno Heberle +5
This paper introduces a novel network topology that seamlessly integrates dynamic inference cost with a top-down attention mechanism, addressing two significant gaps in traditional…
Small, but important: Traffic light proposals for detecting small traffic lights and beyond
Tom Sanitz, Christian Wilms, Simone Frintrop
Traffic light detection is a challenging problem in the context of self-driving cars and driver assistance systems. While most existing systems produce good results on large traffi…
Immersive Neural Graphics Primitives
Ke Li, Tim Rolff, Susanne Schmidt +4
Neural radiance field (NeRF), in particular its extension by instant neural graphics primitives, is a novel rendering method for view synthesis that uses real-world images to build…
Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask
Christian Wilms, Alexander Michael Gerlach, Rüdiger Schmitz +1
Precisely locating and segmenting medical instruments in images of minimally invasive surgeries, medical instrument segmentation, is an essential first step for several tasks in me…
Localizing Small Apples in Complex Apple Orchard Environments
Christian Wilms, Robert Johanson, Simone Frintrop
The localization of fruits is an essential first step in automated agricultural pipelines for yield estimation or fruit picking. One example of this is the localization of apples i…
DeepFH Segmentations for Superpixel-based Object Proposal Refinement
Christian Wilms, Simone Frintrop
Class-agnostic object proposal generation is an important first step in many object detection pipelines. However, object proposals of modern systems are rather inaccurate in terms…