37 citations · 93 across the 18 of their papers we have counts for
20 papers
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…
Audio-Visual Speech Enhancement with Score-Based Generative Models
Julius Richter, Simone Frintrop, Timo Gerkmann
This paper introduces an audio-visual speech enhancement system that leverages score-based generative models, also known as diffusion models, conditioned on visual information. In…
Teacher Network Calibration Improves Cross-Quality Knowledge Distillation
Pia Čuk, Robin Senge, Mikko Lauri +1
We investigate cross-quality knowledge distillation (CQKD), a knowledge distillation method where knowledge from a teacher network trained with full-resolution images is transferre…
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…