Hasso-Plattner-Institut
Prof. Dr. Jürgen Döllner
 

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 Render... - Download
    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).
     
  • Controlling Geometric Abstraction and Texture for Artistic Images. Büßemeyer, Martin; Reimann, Max; Buchheim, Benito; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias (2023).
     
  • Interactive Control over ... - Download
    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)
     
  • ALIVE: Adaptive Chromatic... - 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).
     
  • A Framework for Art-direc... - 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).
     
  • A Service-based Preset Re... - Download
    A Service-based Preset Recommendation System for Image Stylization Applications. Fregien, Florian; Reimann, Max; Pasewaldt, Sebastian; Döllner, Jürgen; Trapp, Matthias (2023). 251–258.
     
  • 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 Styl... - Download
    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.
     
  • Controlling strokes in fa... - 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.
     
  • Interactive Photo Editing... - 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.
     
  • Interactive Multi-level S... - Download
    Interactive Multi-level Stroke Control for Neural Style Transfer. Reimann, Max; Buchheim, Benito; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias (2021).
     
  • Teaching Data-driven Vide... - 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.
     
  • StyleTune: Interactive St... - 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).
     
  • ViVid: Depicting Dynamics... - 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.
     
  • Locally Controllable Neur... - 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).
     
  • MaeSTrO: A Mobile App for... - 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.
     
  • Approaches for Local Arti... - Download
    Approaches for Local Artistic Control of Mobile Neural Style Transfer. Reimann, Max; Klingbeil, Mandy; Pasewaldt, Sebastian; Semmo, Amir; Döllner, Jürgen; Trapp, Matthias (2018).
     
  • MaeSTrO: Mobile-Style Tra... - Download
    MaeSTrO: Mobile-Style Transfer Orchestration Using Adaptive Neural Networks. Reimann, Max; Semmo, Amir; Pasewaldt, Sebastian; Klingbeil, Mandy; Döllner, Jürgen (2018).
     

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: