The Fifth Workshop on Fair Data-Efficient and Trusted Computer Vision


Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak,
Inder Khatri,
Ruchit Rawal,
Anirban Chakraborty
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nayak_2024_CVPR, author = {Nayak, Gaurav Kumar and Khatri, Inder and Rawal, Ruchit and Chakraborty, Anirban}, title = {Data-free Defense of Black Box Models Against Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {254-263} }

Improving the Robustness of 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input
Trung-Hieu Hoang,
Mona Zehni,
Huy Phan,
Duc Minh Vo,
Minh N. Do
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hoang_2024_CVPR, author = {Hoang, Trung-Hieu and Zehni, Mona and Phan, Huy and Vo, Duc Minh and Do, Minh N.}, title = {Improving the Robustness of 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {113-123} }

Practical Region-level Attack against Segment Anything Models
Yifan Shen,
Zhengyuan Li,
Gang Wang
[pdf] [arXiv]
[bibtex]
@InProceedings{Shen_2024_CVPR, author = {Shen, Yifan and Li, Zhengyuan and Wang, Gang}, title = {Practical Region-level Attack against Segment Anything Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {194-203} }

AR-CP: Uncertainty-Aware Perception in Adverse Conditions with Conformal Prediction and Augmented Reality For Assisted Driving
Achref Doula,
Max Mühlhäuser,
Alejandro Sanchez Guinea
[pdf]
[bibtex]
@InProceedings{Doula_2024_CVPR, author = {Doula, Achref and M\"uhlh\"auser, Max and Guinea, Alejandro Sanchez}, title = {AR-CP: Uncertainty-Aware Perception in Adverse Conditions with Conformal Prediction and Augmented Reality For Assisted Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {216-226} }

T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification
Sudarshan Regmi,
Bibek Panthi,
Sakar Dotel,
Prashnna K Gyawali,
Danail Stoyanov,
Binod Bhattarai
[pdf] [supp]
[bibtex]
@InProceedings{Regmi_2024_CVPR, author = {Regmi, Sudarshan and Panthi, Bibek and Dotel, Sakar and Gyawali, Prashnna K and Stoyanov, Danail and Bhattarai, Binod}, title = {T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {153-162} }

Towards Efficient Machine Unlearning with Data Augmentation: Guided Loss-Increasing (GLI) to Prevent the Catastrophic Model Utility Drop
Dasol Choi,
Soora Choi,
Eunsun Lee,
Jinwoo Seo,
Dongbin Na
[pdf] [supp]
[bibtex]
@InProceedings{Choi_2024_CVPR, author = {Choi, Dasol and Choi, Soora and Lee, Eunsun and Seo, Jinwoo and Na, Dongbin}, title = {Towards Efficient Machine Unlearning with Data Augmentation: Guided Loss-Increasing (GLI) to Prevent the Catastrophic Model Utility Drop}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {93-102} }

Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models
Guihong Li,
Hsiang Hsu,
Chun-Fu Chen,
Radu Marculescu
[pdf]
[bibtex]
@InProceedings{Li_2024_CVPR, author = {Li, Guihong and Hsu, Hsiang and Chen, Chun-Fu and Marculescu, Radu}, title = {Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {227-234} }

Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
Zheming Zuo,
Joseph Smith,
Jonathan Stonehouse,
Boguslaw Obara
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zuo_2024_CVPR, author = {Zuo, Zheming and Smith, Joseph and Stonehouse, Jonathan and Obara, Boguslaw}, title = {Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {183-193} }

SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers
Faridoun Mehri,
Mohsen Fayyaz,
Mahdieh Soleymani Baghshah,
Mohammad Taher Pilehvar
[pdf] [supp]
[bibtex]
@InProceedings{Mehri_2024_CVPR, author = {Mehri, Faridoun and Fayyaz, Mohsen and Baghshah, Mahdieh Soleymani and Pilehvar, Mohammad Taher}, title = {SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {204-215} }

DIA: Diffusion based Inverse Network Attack on Collaborative Inference
Dake Chen,
Shiduo Li,
Yuke Zhang,
Chenghao Li,
Souvik Kundu,
Peter A. Beerel
[pdf]
[bibtex]
@InProceedings{Chen_2024_CVPR, author = {Chen, Dake and Li, Shiduo and Zhang, Yuke and Li, Chenghao and Kundu, Souvik and Beerel, Peter A.}, title = {DIA: Diffusion based Inverse Network Attack on Collaborative Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {124-130} }

Our Deep CNN Face Matchers Have Developed Achromatopsia
Aman Bhatta,
Domingo Mery,
Haiyu Wu,
Joyce Annan,
Michael C. King,
Kevin W. Bowyer
[pdf] [supp]
[bibtex]
@InProceedings{Bhatta_2024_CVPR, author = {Bhatta, Aman and Mery, Domingo and Wu, Haiyu and Annan, Joyce and King, Michael C. and Bowyer, Kevin W.}, title = {Our Deep CNN Face Matchers Have Developed Achromatopsia}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {142-152} }

Mitigating Bias Using Model-Agnostic Data Attribution
Sander De Coninck,
Sam Leroux,
Pieter Simoens
[pdf] [arXiv]
[bibtex]
@InProceedings{De_Coninck_2024_CVPR, author = {De Coninck, Sander and Leroux, Sam and Simoens, Pieter}, title = {Mitigating Bias Using Model-Agnostic Data Attribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {235-243} }

Fractals as Pre-training Datasets for Anomaly Detection and Localization
Cynthia I. Ugwu,
Sofia Casarin,
Oswald Lanz
[pdf] [arXiv]
[bibtex]
@InProceedings{Ugwu_2024_CVPR, author = {Ugwu, Cynthia I. and Casarin, Sofia and Lanz, Oswald}, title = {Fractals as Pre-training Datasets for Anomaly Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {163-172} }

ReweightOOD: Loss Reweighting for Distance-based OOD Detection
Sudarshan Regmi,
Bibek Panthi,
Yifei Ming,
Prashnna K Gyawali,
Danail Stoyanov,
Binod Bhattarai
[pdf] [supp]
[bibtex]
@InProceedings{Regmi_2024_CVPR, author = {Regmi, Sudarshan and Panthi, Bibek and Ming, Yifei and Gyawali, Prashnna K and Stoyanov, Danail and Bhattarai, Binod}, title = {ReweightOOD: Loss Reweighting for Distance-based OOD Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {131-141} }

Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport
Akshay Mehra,
Yunbei Zhang,
Jihun Hamm
[pdf]
[bibtex]
@InProceedings{Mehra_2024_CVPR, author = {Mehra, Akshay and Zhang, Yunbei and Hamm, Jihun}, title = {Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {173-182} }

Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation
Jensen Hwa,
Qingyu Zhao,
Aditya Lahiri,
Adnan Masood,
Babak Salimi,
Ehsan Adeli
[pdf] [arXiv]
[bibtex]
@InProceedings{Hwa_2024_CVPR, author = {Hwa, Jensen and Zhao, Qingyu and Lahiri, Aditya and Masood, Adnan and Salimi, Babak and Adeli, Ehsan}, title = {Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {103-112} }

Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval
Heiko Karus,
Friedhelm Schwenker,
Michael Munz,
Michael Teutsch
[pdf]
[bibtex]
@InProceedings{Karus_2024_CVPR, author = {Karus, Heiko and Schwenker, Friedhelm and Munz, Michael and Teutsch, Michael}, title = {Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {82-92} }

RLNet: Robust Linearized Networks for Efficient Private Inference
Sreetama Sarkar,
Souvik Kundu,
Peter A. Beerel
[pdf]
[bibtex]
@InProceedings{Sarkar_2024_CVPR, author = {Sarkar, Sreetama and Kundu, Souvik and Beerel, Peter A.}, title = {RLNet: Robust Linearized Networks for Efficient Private Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {244-253} }