Recent News

Outstanding Editorial Board Member Award 2024

Sebastian Knorr was awarded the Outstanding Editorial Board Member Award 2024 from the IEEE Signal Processing Society for his service for the IEEE Transactions on Image Processing.

PicArrange now finds images with colors

New: PicArrange 3.4 Find Images by Text, Image, and Now, Color

🎨 Find images with similar colors
📍 Search photos by location
🧭 Filter images using GPS data

Tutorial on Visual Information Retrieval

The slides and Jupyter notebooks of our ECIR2025 tutorial are available.

Winner of the SISAP Indexing Challange

Our adaption of the Exploration Graph to low recall regimes won us the SISAP Indexing Challange.

About Us Visual Computing Group @ HTW Berlin

About Us

The Visual Computing Group is a collaboration of various researchers at the HTW Berlin who work in the fields of:

  • Machine Learning
  • Information Retrieval
  • Visual clustering & sorting
  • Computer Vision
  • Immersive Imaging
  • Neural Rendering
More about us

Recent Publications

The Impact of Intrinsic Scene Cues on Perceived Color Transfer Quality

Herbert Potechius, Thomas Sikora, Sebastian Knorr
IEEE International Conference on Image Processing (ICIP 2026)

In this paper, we investigate the influence of intrinsic scene cues, namely semantics, illumination, and geometry, on the perceived quality of color transfer results.

PVSDNet: Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time

Manu Gond, Emin Zerman, Sebastian Knorr, and Mårten Sjöström
IEEE Access 2026

We propose an unified multimodal network capable of jointly synthesizing new views and predicting consistent depth maps from a single input image.

3D SMoE Splatting for Edge-aware Realtime Radiance Field Rendering

Yi-Hsin Li, Thomas Sikora, Sebastian Knorr, Mårten Sjöström
ACM Siggraph Asia 2025

We introduce a novel, edge-aware "3D SMoE Splatting" (3DSMoES) framework for 3D rendering, adopted to fit into the existing "3D Gaussian Splatting" (3DGS) CUDA optimization pipeline

Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression

Yi-Hsin Li, Sebastian Knorr, Mårten Sjöström, Thomas Sikora
IEEE Transactions on Multimedia 2025

We introduce a novel adaptive segmentation-based initialization method targeted for optimizing Steered-Mixture-of Experts (SMoE) gating networks and Radial-Basis-Function (RBF) networks with steering kernels.