Publications | eXCV Workshop at ECCV 2024 https://excv-workshop.github.io/2024/publication/ Publications Source Themes Academic (https://sourcethemes.com/academic/)en-us© 2025 eXCV Workshop OrganizersTue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/img/icon.png Publications https://excv-workshop.github.io/2024/publication/ "Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction https://excv-workshop.github.io/2024/publication/help-me-help-the-ai-understanding-how-explainability-can-support-human-ai-interaction/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/help-me-help-the-ai-understanding-how-explainability-can-support-human-ai-interaction/ An Investigation on The Position Encoding in Vision-Based Dynamics Prediction https://excv-workshop.github.io/2024/publication/an-investigation-on-the-position-encoding-in-vision-based-dynamics-prediction/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/an-investigation-on-the-position-encoding-in-vision-based-dynamics-prediction/ Analyzing Vision Transformers for Image Classification in Class Embedding Space https://excv-workshop.github.io/2024/publication/analyzing-vision-transformers-for-image-classification-in-class-embedding-space/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/analyzing-vision-transformers-for-image-classification-in-class-embedding-space/ As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain https://excv-workshop.github.io/2024/publication/as-large-as-it-gets-learning-infinitely-large-filters-via-neural-implicit-functions-in-the-fourier-domain/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/as-large-as-it-gets-learning-infinitely-large-filters-via-neural-implicit-functions-in-the-fourier-domain/ Attribute Based Interpretable Evaluation Metrics for Generative Models https://excv-workshop.github.io/2024/publication/attribute-based-interpretable-evaluation-metrics-for-generative-models/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/attribute-based-interpretable-evaluation-metrics-for-generative-models/ Can Biases in ImageNet Models Explain Generalization? https://excv-workshop.github.io/2024/publication/can-biases-in-imagenet-models-explain-generalization/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/can-biases-in-imagenet-models-explain-generalization/ Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? https://excv-workshop.github.io/2024/publication/concept-based-explanations-in-computer-vision-where-are-we-and-where-could-we-go/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/concept-based-explanations-in-computer-vision-where-are-we-and-where-could-we-go/ Explanation Alignment: Quantifying the Correctness of Model Reasoning At Scale https://excv-workshop.github.io/2024/publication/explanation-alignment-quantifying-the-correctness-of-model-reasoning-at-scale/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/explanation-alignment-quantifying-the-correctness-of-model-reasoning-at-scale/ Feature Contribution in Monocular Depth Estimation https://excv-workshop.github.io/2024/publication/feature-contribution-in-monocular-depth-estimation/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/feature-contribution-in-monocular-depth-estimation/ From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation https://excv-workshop.github.io/2024/publication/from-flexibility-to-manipulation-the-slippery-slope-of-xai-evaluation/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/from-flexibility-to-manipulation-the-slippery-slope-of-xai-evaluation/ Global Counterfactual Directions https://excv-workshop.github.io/2024/publication/global-counterfactual-directions/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/global-counterfactual-directions/ Image-guided topic modeling for interpretable privacy classification https://excv-workshop.github.io/2024/publication/image-guided-topic-modeling-for-interpretable-privacy-classification/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/image-guided-topic-modeling-for-interpretable-privacy-classification/ Integrating Local and Global Interpretability for Deep Concept-Based Reasoning Models https://excv-workshop.github.io/2024/publication/integrating-local-and-global-interpretability-for-deep-concept-based-reasoning-models/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/integrating-local-and-global-interpretability-for-deep-concept-based-reasoning-models/ Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations https://excv-workshop.github.io/2024/publication/interpretability-benchmark-for-evaluating-spatial-misalignment-of-prototypical-parts-explanations/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/interpretability-benchmark-for-evaluating-spatial-misalignment-of-prototypical-parts-explanations/ Localization-Guided Supervision for Robust Medical Image Classification by Vision Transformers https://excv-workshop.github.io/2024/publication/localization-guided-supervision-for-robust-medical-image-classification-by-vision-transformers/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/localization-guided-supervision-for-robust-medical-image-classification-by-vision-transformers/ Network Inversion of Binarised Neural Nets https://excv-workshop.github.io/2024/publication/network-inversion-of-binarised-neural-nets/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/network-inversion-of-binarised-neural-nets/ PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers https://excv-workshop.github.io/2024/publication/pdiscoformer-relaxing-part-discovery-constraints-with-vision-transformers/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/pdiscoformer-relaxing-part-discovery-constraints-with-vision-transformers/ ProactiV: Studying Deep Learning Model Behavior under Input Transformations https://excv-workshop.github.io/2024/publication/proactiv-studying-deep-learning-model-behavior-under-input-transformations/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/proactiv-studying-deep-learning-model-behavior-under-input-transformations/ Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers https://excv-workshop.github.io/2024/publication/pruning-by-explaining-revisited-optimizing-attribution-methods-to-prune-cnns-and-transformers/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/pruning-by-explaining-revisited-optimizing-attribution-methods-to-prune-cnns-and-transformers/ Q-SENN: Quantized Self-Explaining Neural Networks https://excv-workshop.github.io/2024/publication/q-senn-quantized-self-explaining-neural-networks/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/q-senn-quantized-self-explaining-neural-networks/ Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation https://excv-workshop.github.io/2024/publication/top-gap-integrating-size-priors-in-cnns-for-more-interpretability-robustness-and-bias-mitigation/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/top-gap-integrating-size-priors-in-cnns-for-more-interpretability-robustness-and-bias-mitigation/ Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models https://excv-workshop.github.io/2024/publication/visual-concept-connectome-vcc-open-world-concept-discovery-and-their-interlayer-connections-in-deep-models/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/visual-concept-connectome-vcc-open-world-concept-discovery-and-their-interlayer-connections-in-deep-models/ VTCD: Understanding Video Transformers via Universal Concept Discovery https://excv-workshop.github.io/2024/publication/vtcd-understanding-video-transformers-via-universal-concept-discovery/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/vtcd-understanding-video-transformers-via-universal-concept-discovery/ What could go wrong? Discovering and describing failure modes in computer vision https://excv-workshop.github.io/2024/publication/what-could-go-wrong-discovering-and-describing-failure-modes-in-computer-vision/ Tue, 10 Sep 2024 22:02:03 +0200 https://excv-workshop.github.io/2024/publication/what-could-go-wrong-discovering-and-describing-failure-modes-in-computer-vision/