Shashank Agnihotri

24 papers A* 1B 1Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
GeoDiv: Framework For Measuring Geographical Diversity In Text-To-Image Models.
CoRR
Abhipsa Basu, Mohana Singh, Shashank Agnihotri, Margret Keuper, R. Venkatesh Babu
2026 J jnl
RAWDet-7: A Multi-Scenario Benchmark for Object Detection and Description on Quantized RAW Images.
CoRR
Mishal Fatima, Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Michael Möller, Margret Keuper
2025 J jnl
A Granular Study of Safety Pretraining under Model Abliteration.
CoRR
Shashank Agnihotri, Jonas Jakubassa, Priyam Dey, Sachin Goyal, Bernt Schiele, Venkatesh Babu Radhakrishnan, Margret Keuper
2025 J jnl
AIM: Amending Inherent Interpretability via Self-Supervised Masking.
CoRR
Eyad Alshami, Shashank Agnihotri, Bernt Schiele, Margret Keuper
2025 J jnl
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?
CoRR
Shashank Agnihotri, David Schader, Nico Sharei, Mehmet Ege Kaçar, Margret Keuper
2025 J jnl
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions.
CoRR
Shashank Agnihotri, Amaan Ansari, Annika Dackermann, Fabian Rösch, Margret Keuper
2025 J jnl
Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks.
CoRR
Marcel Kleinmann, Shashank Agnihotri, Margret Keuper
2025 J jnl
FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization.
Trans. Mach. Learn. Res.
Shashank Agnihotri, Julian Yuya Caspary, Luca Schwarz, Xinyan Gao, Jenny Schmalfuss, Andrés Bruhn, Margret Keuper
2025 J jnl
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo.
CoRR
Jenny Schmalfuss, Victor Oei, Lukas Mehl, Madlen Bartsch, Shashank Agnihotri, Margret Keuper, Andrés Bruhn
2025 J jnl
SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification.
CoRR
Shashank Agnihotri, David Schader, Jonas Jakubassa, Nico Sharei, Simon Kral, Mehmet Ege Kaçar, Ruben Weber, Margret Keuper
2025 J jnl
Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging.
CoRR
Nicolás Poggi, Shashank Agnihotri, Margret Keuper
2025 J jnl
Vision At Night: Exploring Biologically Inspired Preprocessing For Improved Robustness Via Color And Contrast Transformations.
CoRR
Lorena Stracke, Lia Nimmermann, Shashank Agnihotri, Margret Keuper, Volker Blanz
2025 — conf
γ-Quant: Towards Learnable Quantization for Low-Bit Pattern Recognition.
DAGM GCPR
Mishal Fatima, Shashank Agnihotri, Marius Bock, Kanchana Vaishnavi Gandikota, Kristof Van Laerhoven, Michael Möller, Margret Keuper
2025 J jnl
γ-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition.
CoRR
Mishal Fatima, Shashank Agnihotri, Marius Bock, Kanchana Vaishnavi Gandikota, Kristof Van Laerhoven, Michael Möller, Margret Keuper
2024 J jnl
Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration.
CoRR
Shashank Agnihotri, Julia Grabinski, Janis Keuper, Margret Keuper
2024 A* conf
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks.
ICML
Shashank Agnihotri, Steffen Jung, Margret Keuper
2024 J jnl
How Do Training Methods Influence the Utilization of Vision Models?
CoRR
Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper
2024 — conf
Improving Feature Stability During Upsampling - Spectral Artifacts and the Importance of Spatial Context.
ECCV (58)
Shashank Agnihotri, Julia Grabinski, Margret Keuper
2024 B conf
Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters.
ICCP
Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Bhaskar Choubey, Andreas Kolb
2023 J jnl
CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.
CoRR
Shashank Agnihotri, Margret Keuper
2023 J jnl
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters.
CoRR
Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Andreas Kolb
2023 J jnl
Improving Stability during Upsampling - on the Importance of Spatial Context.
CoRR
Shashank Agnihotri, Julia Grabinski, Margret Keuper
2023 — conf
On the unreasonable vulnerability of transformers for image restoration - and an easy fix.
ICCV (Workshops)
Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper
2023 J jnl
On the unreasonable vulnerability of transformers for image restoration - and an easy fix.
CoRR
Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper