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• Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
  2021 · 6 citations
• Text-To-Concept (and Back) via Cross-Model Alignment
  2023 · 3 citations
• Identifying Interpretable Subspaces in Image Representations
  2023 · 3 citations
• A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes
  2022 · 2 citations
• Invariant Learning via Diffusion Dreamed Distribution Shifts
  2022 · 2 citations
• Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  2023 · 2 citations
• Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
  2023 · 2 citations
• What do we learn from inverting CLIP models?
  2024 · 1 citations
• SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control
  2025
• Towards Improved Input Masking for Convolutional Neural Networks
  2022
• PRIME: Prioritizing Interpretability in Failure Mode Extraction
  2023
• Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning
  2024
• Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
  2024
• IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
  2024