Svetlana Pavlitska

36 papers B 3C 3Journal 18Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	DEAP DIVE: Dataset Investigation with Vision Transformers for EEG Evaluation. ICCVW Annemarie Hoffsornmer, Helen Schneider, Svetlana Pavlitska, Johann Marius Zöllner
2025	J	`jnl`	DEAP DIVE: Dataset Investigation with Vision transformers for EEG evaluation. CoRR Annemarie Hoffsommer, Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner
2025	—	`conf`	Datasets for Valence and Arousal Inference: A Survey. CVPR Workshops Helen Schneider, Svetlana Pavlitska, Helen Gremmelmaier, Marius Zöllner
2025	J	`jnl`	Datasets for Valence and Arousal Inference: A Survey. CoRR Helen Schneider, Svetlana Pavlitska, Helen Gremmelmaier, J. Marius Zöllner
2025	—	`conf`	Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation. ICCVW Svetlana Pavlitska, Beyza Keskin, Alwin Faßbender, Christian Hubschneider, J. Marius Zöllner
2025	J	`jnl`	Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation. CoRR Svetlana Pavlitska, Beyza Keskin, Alwin Faßbender, Christian Hubschneider, J. Marius Zöllner
2025	J	`jnl`	Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light Detectors. CoRR Svetlana Pavlitska, Jamie Robb, Nikolai Polley, Melih Yazgan, J. Marius Zöllner
2025	—	`conf`	Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers. ICCVW Svetlana Pavlitska, Haixi Fan, Konstantin Ditschuneit, J. Marius Zöllner
2025	J	`jnl`	Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers. CoRR Svetlana Pavlitska, Haixi Fan, Konstantin Ditschuneit, J. Marius Zöllner
2025	B	`conf`	Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey. SMC Albert Schotschneider, Svetlana Pavlitska, J. Marius Zöllner
2025	J	`jnl`	Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey. CoRR Albert Schotschneider, Svetlana Pavlitska, J. Marius Zöllner
2024	—	`conf`	CAGE: Circumplex Affect Guided Expression Inference. CVPR Workshops Niklas Wagner, Felix Mätzler, Samed Rouven Vossberg, Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner
2024	J	`jnl`	CAGE: Circumplex Affect Guided Expression Inference. CoRR Niklas Wagner, Felix Mätzler, Samed Rouven Vossberg, Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner
2024	J	`jnl`	Complementary Learning for Real-World Model Failure Detection. CoRR Daniel Bogdoll, Finn Sartoris, Vincent Geppert, Svetlana Pavlitska, J. Marius Zöllner
2024	C	`conf`	Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator. DSD Federico Nicolás Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann
2024	J	`jnl`	Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator. CoRR Federico Nicolás Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann
2024	C	`conf`	Evaluating Adversarial Attacks on Traffic Sign Classifiers Beyond Standard Baselines. ICMLA Svetlana Pavlitska, Leopold Müller, J. Marius Zöllner
2024	J	`jnl`	Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselines. CoRR Svetlana Pavlitska, Leopold Müller, J. Marius Zöllner
2024	—	`conf`	Hybrid Video Anomaly Detection for Autonomous Driving. BMVC Workshops Daniel Bogdoll, Jan Imhof, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner
2024	B	`conf`	Iterative Filter Pruning for Concatenation-based CNN Architectures. IJCNN Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner
2024	J	`jnl`	Iterative Filter Pruning for Concatenation-based CNN Architectures. CoRR Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner
2024	J	`jnl`	One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level. CoRR Sven Ochs, Jens Doll, Daniel Grimm, Tobias Fleck, Marc Heinrich, Stefan Orf, Albert Schotschneider, Helen Gremmelmaier, Rupert Polley, Svetlana Pavlitska, Maximilian Zipfl, Helen Schneider, Ferdinand Mütsch, Daniel Bogdoll, Florian Kuhnt, Philip Schörner, Marc René Zofka, J. Marius Zöllner
2024	—	`conf`	TLD-READY: Traffic Light Detection - Relevance Estimation and Deployment Analysis. ITSC Nikolai Polley, Svetlana Pavlitska, Yacin Boualili, Patrick Rohrbeck, Paul Stiller, Ashok Kumar Bangaru, Johann Marius Zöllner
2024	J	`jnl`	TLD-READY: Traffic Light Detection - Relevance Estimation and Deployment Analysis. CoRR Nikolai Polley, Svetlana Pavlitska, Yacin Boualili, Patrick Rohrbeck, Paul Stiller, Ashok Kumar Bangaru, J. Marius Zöllner
2024	C	`conf`	Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation. ICMLA Svetlana Pavlitska, Enrico Eisen, J. Marius Zöllner
2024	J	`jnl`	Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation. CoRR Svetlana Pavlitska, Enrico Eisen, J. Marius Zöllner
2024	—	`conf`	UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. BMVC Workshops Daniel Bogdoll, Noël Ollick, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner
2023	J	`jnl`	Adversarial Attacks on Traffic Sign Recognition: A Survey. CoRR Svetlana Pavlitska, Nico Lambing, J. Marius Zöllner
2023	—	`conf`	Conditioning Latent-Space Clusters for Real-World Anomaly Classification. SSCI Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner
2023	J	`jnl`	Conditioning Latent-Space Clusters for Real-World Anomaly Classification. CoRR Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner
2023	—	`conf`	Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner
2023	—	`conf`	Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence. SSCI Svetlana Pavlitska, Hannes Grolig, J. Marius Zoellner
2023	J	`jnl`	Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence. CoRR Svetlana Pavlitska, Hannes Grolig, J. Marius Zöllner
2023	B	`conf`	Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability. IJCNN Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner
2023	—	`conf`	Traffic Light Recognition using Convolutional Neural Networks: A Survey. ITSC Svetlana Pavlitska, Nico Lambing, Ashok Kumar Bangaru, J. Marius Zöllner
2023	J	`jnl`	Traffic Light Recognition using Convolutional Neural Networks: A Survey. CoRR Svetlana Pavlitska, Nico Lambing, Ashok Kumar Bangaru, J. Marius Zöllner