activity
20162024
most citedTransfer Learning for Material Classification using Convolutional Networks

14 citations · 23 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV20241 cited

DualAD: Disentangling the Dynamic and Static World for End-to-End Driving

Simon Doll, Niklas Hanselmann, Lukas Schneider +4

State-of-the-art approaches for autonomous driving integrate multiple sub-tasks of the overall driving task into a single pipeline that can be trained in an end-to-end fashion by p…

cs.CV2024

Iterative Cluster Harvesting for Wafer Map Defect Patterns

Alina Pleli, Simon Baeuerle, Michel Janus +3

Unsupervised clustering of wafer map defect patterns is challenging because the appearance of certain defect patterns varies significantly. This includes changing shape, location,…

cs.CV2024

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild

Andreas Engelhardt, Amit Raj, Mark Boss +8

We present SHINOBI, an end-to-end framework for the reconstruction of shape, material, and illumination from object images captured with varying lighting, pose, and background. Inv…

cs.CV2024

SIGNeRF: Scene Integrated Generation for Neural Radiance Fields

Jan-Niklas Dihlmann, Andreas Engelhardt, Hendrik Lensch

Advances in image diffusion models have recently led to notable improvements in the generation of high-quality images. In combination with Neural Radiance Fields (NeRFs), they enab…

cs.CV2023

Zero-shot Translation of Attention Patterns in VQA Models to Natural Language

Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch +1

Converting a model's internals to text can yield human-understandable insights about the model. Inspired by the recent success of training-free approaches for image captioning, we…

cs.CL2023

ViPE: Visualise Pretty-much Everything

Hassan Shahmohammadi, Adhiraj Ghosh, Hendrik P. A. Lensch

Figurative and non-literal expressions are profoundly integrated in human communication. Visualising such expressions allow us to convey our creative thoughts, and evoke nuanced em…