Poster "attention maps" Papers

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DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling

Xin Xie, Dong Gong

CVPR 2025arXiv:2412.00759
16
citations

HumorDB: Can AI understand graphical humor?

Vedaant V Jain, Gabriel Kreiman, Felipe Feitosa

ICCV 2025arXiv:2406.13564
1
citations

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity

Walid Bousselham, Angie Boggust, Sofian Chaybouti et al.

ICCV 2025arXiv:2404.03214
25
citations

Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis

Boming Miao, Chunxiao Li, Xiaoxiao Wang et al.

CVPR 2025arXiv:2411.16503
3
citations

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis

Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai et al.

CVPR 2025arXiv:2501.09333
6
citations

Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation

Shuangrui Ding, Rui Qian, Haohang Xu et al.

ECCV 2024arXiv:2311.17893
11
citations

SAVE: Protagonist Diversification with Structure Agnostic Video Editing

Yeji Song, Wonsik Shin, Junsoo Lee et al.

ECCV 2024arXiv:2312.02503
11
citations

Text-Image Alignment for Diffusion-Based Perception

Neehar Kondapaneni, Markus Marks, Manuel Knott et al.

CVPR 2024arXiv:2310.00031
53
citations