Sabine Süsstrunk
30 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
🐝
Cross-Pollinator
(10)
🌈
Renaissance Researcher
(6)
🗺️
Taxonomy Completionist
(55)
🏆
Keyword Champion
(2)
🤝
Dynamic Duo
(15)
⚡
Prolific Year
(5)
💎
Century Club
(30)
📈
Trend Setter
🗃️
Keyword Collector
(125)
🚀
Conference Pioneer
Conferences
CVPR (14)
ECCV (4)
ICCV (4)
NIPS (3)
WACV (2)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
adversarial robustness
(4)
adversarial training
(3)
self-supervised learning
(3)
semantic segmentation
(3)
diffusion model
(2)
domain adaptation
(2)
multitask learning
(2)
contrastive learning
(2)
neural cellular automata
(2)
generative adversarial network
(2)
image generation
(2)
point cloud
(2)
neural radiance field
(2)
image restoration
(2)
signed distance function
(2)
depth estimation
(2)
transfer learning
(1)
zero-shot learning
(1)
lottery ticket hypothesis
(1)
feature learning
(1)
Papers
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing
CVPR 2025
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
NIPS 2024
Exploiting the Signal-Leak Bias in Diffusion Models
WACV 2024
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
CVPR 2024
InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields
CVPR 2024
Data Augmentation via Latent Diffusion for Saliency Prediction
ECCV 2024
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning
ICLR 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
JMLR 2024
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
CVPR 2023
Vision Transformer Adapters for Generalizable Multitask Learning
ICCV 2023
Diffusion in Style
ICCV 2023
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction
CVPR 2023
NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects
ICCV 2023
DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata
CVPR 2023
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction
CVPR 2023
Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks
ICML 2023
MulT: An End-to-End Multitask Learning Transformer
CVPR 2022
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
CVPR 2022
Estimating Image Depth in the Comics Domain
WACV 2022
Robust Binary Models by Pruning Randomly-initialized Networks
NIPS 2022
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
ECCV 2022
Editing in Style: Uncovering the Local Semantics of GANs
CVPR 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
NIPS 2020
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
ECCV 2020
Kernel Modeling Super-Resolution on Real Low-Resolution Images
ICCV 2019
Deep Feature Factorization For Concept Discovery
ECCV 2018
Webly Supervised Semantic Segmentation
CVPR 2017
Single Image Reflection Suppression
CVPR 2017
Superpixels and Polygons Using Simple Non-Iterative Clustering
CVPR 2017
Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair
CVPR 2017