Max Reimann, M. Sc.

Research assistant with focus on DL-based image & video processing.

Research Profiles:

Tel.: +49-(0)331 5509-3909
Room: H-2.13
E-Mail: max.reimann@hpi.de

Publications

Non-Photorealistic Rendering of 3D Point Clouds Using Segment-Specific Image-Space Effects. Wegen, Ole; Burmeister, Josafat-Mattias; Reimann, Max; Richter, Rico; Döllner, Jürgen K. Bouatouch, A. A. Sousa, T. Bashford-Rogers, D. Meneveaux (reds.) (2024).

[ Download ]

Controlling Geometric Abstraction and Texture for Artistic Images. Büßemeyer, Martin; Reimann, Max; Buchheim, Benito; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias (2023).

Interactive Control over Temporal Consistency while Stylizing Video Streams. Shekhar, Sumit; Reimann, Max; Hilscher, Moritz; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias in Computer Graphics Forum, (T. Ritschel; A. Weidlich, reds.) (2023). 42(4)

[ DOI ] [ Download ]

ALIVE: Adaptive Chromaticity for Interactive Low-light Image and Video Enhancement. Shekhar, Sumit; Reimann, Max; Wattasseril, Jobin; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias (2023).

[ Download ]

A Framework for Art-directed Augmentation of Human Motion in Videos on Mobile Devices. Debski, Rosmarie; Schmitt, Ole; Trenz, Phillip; Reimann, Max; Döllner, Jürgen; Trapp, Matthias; Semmo, Amir; Pasewaldt, Sebastian (2023).

[ Download ]

A Service-based Preset Recommendation System for Image Stylization Applications. Fregien, Florian; Reimann, Max; Pasewaldt, Sebastian; Döllner, Jürgen; Trapp, Matthias (2023). 251–258.

[ DOI ] [ Download ]

Art-directable Stroke-based Rendering on Mobile Devices. Wagner, Ronja; Schulz, Sebastian; Reimann, Max; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias T. Grosch, M. Guthe (reds.) (2023).

WISE: Whitebox Image Stylization by Example-Based Learning. Lötzsch, Winfried; Reimann, Max; Büssemeyer, Martin; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias in European Conference for Computer Vision -- ECCV 2022 (2022). 135–152.

[ URL ] [ DOI ] [ Download ]

Controlling strokes in fast neural style transfer using content transforms. Reimann, Max; Buchheim, Benito; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias in The Visual Computer (2022). 15.

[ URL ] [ DOI ] [ Download ]

Interactive Photo Editing on Smartphones via Intrinsic Decomposition. Shekhar, Sumit; Reimann, Max; Mayer, Maximilian; Semmo, Amir; Pasewaldt, Sebastian; Döllner, Jürgen; Trapp, Matthias in Computer Graphics Forum, (N. Mitra; I. Viola, reds.) (2021). 40(2) 497–510.

[ DOI ] [ Download ]

Interactive Multi-level Stroke Control for Neural Style Transfer. Reimann, Max; Buchheim, Benito; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias (2021).

[ Download ]

Teaching Data-driven Video Processing via Crowdsourced Data Collection. Reimann, Max; Wegen, Ole; Pasewaldt, Sebastian; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias B. Sousa Santos, G. Domik (reds.) (2021). 1–8.

[ URL ] [ DOI ] [ Download ]

StyleTune: Interactive Style Transfer Enhancement on Mobile Devices. Buchheim, Benito; Reimann, Max; Pasewaldt, Sebastian; Döllner, Jürgen; Trapp, Matthias in SIGGRAPH ’21 Appy Hour (2021).

[ URL ] [ DOI ] [ Download ]

ViVid: Depicting Dynamics in Stylized Live Photos. Semmo, Amir; Reimann, Max; Klingbeil, Mandy; Shekhar, Sumit; Trapp, Matthias; Döllner, Jürgen (2019). 8:1–8:2.

[ DOI ] [ Download ]

Locally Controllable Neural Style Transfer on Mobile Devices. Reimann, Max; Klingbeil, Mandy; Pasewaldt, Sebastian; Semmo, Amir; Trapp, Matthias; Döllner, Jürgen in The Visual Computer (2019).

[ DOI ] [ Download ]

MaeSTrO: A Mobile App for Style Transfer Orchestration using Neural Networks. Reimann, Max; Klingbeil, Mandy; Pasewaldt, Sebastian; Semmo, Amir; Trapp, Matthias; Döllner, Jürgen (2018). 9–16.

[ DOI ] [ Download ]

Approaches for Local Artistic Control of Mobile Neural Style Transfer. Reimann, Max; Klingbeil, Mandy; Pasewaldt, Sebastian; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias (2018).

[ DOI ] [ Download ]

MaeSTrO: Mobile-Style Transfer Orchestration Using Adaptive Neural Networks. Reimann, Max; Semmo, Amir; Pasewaldt, Sebastian; Klingbeil, Mandy; Döllner, Jürgen (2018).

[ DOI ] [ Download ]

Teaching activities

Courses at HPI (Responsible for lecturing and tutoring)

Summer 2022 (M): Image & Video Processing - Concepts and Techniques
Winter 2019/2020 (M): Visual Media Data Processing

Seminars at HPI (Responsible for tutoring)

Summer 2022:
- State-of-the-Art Visual Media Analysis and Processing (M)
- Algorithmen zur Prozessierung visueller Medien (B)
Winter 2021/2022:
- Advanced Image & Video Processing Techniques (M)
- Introduction to Image and Video Processing Techniques (B)
- Dark Mirror: AI and Society (B)
Summer 2021:
- Web Technologies for Visual Media Processing (B)
- Advanced Techniques for Image and Video Analysis (M)
Winter 2020/2021:
- Introduction to Visual Media Processing (B)
- Interactive Techniques for Visual Media Analysis and Processing (M)
Summer 2020:
- Processing Techniques for Visual Media (B)
- Techniques for Image and Video Analysis (M)
Winter 2019/2020:
- Advanced Visual Media Enhancement (B)
- Visual Media Enhancement (M)

Master Thesis (Co-)Supervision:

Analysis and Optimization of Convolutional Neural Networks for Optical Flow Computation on Mobile Devices
Moritz Hilscher, Master Thesis, 2021
Neural Parameter Learning for Differentiable Algorithmic Stylization Effects
Winfried Lötzsch, Master Thesis 2021

Bachelor's Projects (Co-)Supervision:

2020/2021: Deep Learning for Transforming Visual Media
David Schlereth, Henok Lachmann, Katherina Hasenlust
2019/2020: Cloud-based Visual Analysis and Processing
Josafat-Mattias Burmeister, Florian Fregien, Fabian Galandi, Alexander Junger

Peer Reviewing Activities & Awards

Awards

Best Paper Award, Cyberworlds 2021 Conference, Interactive Multi-level Stroke Control for Neural Style Transfer [link]

Best Paper Award, Cyberworlds 2018 Conference, MaeSTrO: A Mobile App for Style Transfer Orchestration using Neural Networks [link]

Peer-Reviewing Activities for Journals and Conferences:

Max Reimann, M. Sc.

Publications

Teaching activities

Peer Reviewing Activities & Awards

Chair

Overview (Video)

How to find us

Campus Building G, Entrance