Shashank Agnihotri

According to our database, Shashank Agnihotri authored at least 15 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks.

Marcel Kleinmann, Shashank Agnihotri, Margret Keuper

CoRR, July, 2025

Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging.

Nicolás Poggi, Shashank Agnihotri, Margret Keuper

CoRR, July, 2025

SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification.

Shashank Agnihotri, David Schader, Jonas Jakubassa, Nico Sharei, Simon Kral, Mehmet Ege Kaçar, Ruben Weber, Margret Keuper

CoRR, May, 2025

RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo.

Jenny Schmalfuss, Victor Oei, Lukas Mehl, Madlen Bartsch, Shashank Agnihotri, Margret Keuper, Andrés Bruhn

CoRR, May, 2025

DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions.

Shashank Agnihotri, Amaan Ansari, Annika Dackermann, Fabian Rösch, Margret Keuper

CoRR, May, 2025

Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?

Shashank Agnihotri, David Schader, Nico Sharei, Mehmet Ege Kaçar, Margret Keuper

CoRR, May, 2025

2024

How Do Training Methods Influence the Utilization of Vision Models?

Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper

CoRR, 2024

Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration.

Shashank Agnihotri, Julia Grabinski, Janis Keuper, Margret Keuper

CoRR, 2024

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks.

Shashank Agnihotri, Steffen Jung, Margret Keuper

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters.

Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Bhaskar Choubey, Andreas Kolb

Proceedings of the IEEE International Conference on Computational Photography, 2024

Improving Feature Stability During Upsampling - Spectral Artifacts and the Importance of Spatial Context.

Shashank Agnihotri, Julia Grabinski, Margret Keuper

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Improving Stability during Upsampling - on the Importance of Spatial Context.

Shashank Agnihotri, Julia Grabinski, Margret Keuper

CoRR, 2023

Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters.

Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Andreas Kolb

CoRR, 2023

CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.

Shashank Agnihotri, Margret Keuper

CoRR, 2023

On the unreasonable vulnerability of transformers for image restoration - and an easy fix.

Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023