Philipp SchröppelPhD Student
Computer Vision Group
Office location:
Phone:+49 761 203 8290 |
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| Personal | Research | Publications | Teaching |
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Teaching
Winter term 2023-2024
- Tutor for the course Computer Vision
- Block-Seminar on Deep Learning
Supervisor for the papers:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
DynIBaR: Neural Dynamic Image-Based Rendering
Summer term 2023
- Block-Seminar on Deep Learning
Supervisor for the paper: LERF: Language Embedded Radiance Fields
Winter term 2022-2023
- Block-Seminar on Deep Learning
Supervisor for the paper: Elucidating the Design Space of Diffusion-Based Generative Models - Seminar Computer Vision
Supervisor for the paper: Disentangling Visual and Written Concepts in CLIP
Summer term 2022
- Tutor for the course Statistical Pattern Recognition
- Seminar Computer Vision
Supervisor for the paper: How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Winter term 2021-2022
- Created a new exercise on disparity estimation for the course Computer Vision
- Seminar Computer Vision
Supervisor for the paper: DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping
Summer term 2021
- Tutor for the course Image Processing and Computer Graphics
- Block-Seminar on Deep Learning
Supervisor for the paper: Learning Transferable Visual Models From Natural Language Supervision
Winter term 2020-2021
- Seminar Computer Vision
Supervisor for the paper: RANSAC-Flow: generic two-stage image alignment
Summer term 2020
- Seminar Computer Vision
Supervisor for the paper: CLEVRER: Collision Events for Video Representation and Reasoning
Winter term 2019-2020
- Seminar Computer Vision
Supervisor for the paper: Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Summer term 2019
- Block-Seminar on Deep Learning
Supervisor for the paper: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding - Seminar Computer Vision
Supervisor for the paper: Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Mentoring
- Lal Jose: Monocular Camera Tracking for Driving Scenarios (Master thesis, 2020)
- Saurav Shanu: Stixel Prediction with an End-to-end deep Network (Master project, 2020-2021)
- Sergio Izquierdo Barranco: Deep Feature Reconstruction for Disparity Estimation with DispNet (Master project, 2020-2021)
- Julia Guerrero-Viu: Semi-Supervised Domain Adaptation for Disparity Estimation with DispNet (Master project, 2020-2021)
- Julia Guerrero-Viu: Improving Deep Feature Representations for Self-Supervised Training of Disparity Estimation (Master thesis, 2021)
- Saurav Shanu: Monocular 3D Object Detection and Bird's Eye View Generation in Driving Scenarios (Master thesis, 2021-2022)
- Leonhard Sommer: From Pixel Matching to Dynamic Rigid Objects (Master thesis, 2021-2022)
- Saiprasad Barke: Analysing Multi-view Depth Estimation in a Common Framework (Master thesis, 2023)
- Tom Wellinger: Bootstrapping Single-view Depth Estimation via Multi-view Depth Estimation (Master thesis, 2023)
- Achim Wimme: Depth-from-video Estimation with a RAFT Model Architecture (Master project, 2023-2024)