The 4th DataCV Workshop and Challenge
Synthetic Hands Meet Legacy Data: A Synthetic Dataset for Structured, Controllable, and Multimodal Evaluation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2025_ICCV, author = {Zhang, Menghe and So, Haley M. and Asadi, Mohammad and Zhao, Dongfang and Liang, Yangwen and Wang, Shuangquan and Wetzstein, Gordon and Song, Kee-Bong and Kim, Donghoon}, title = {Synthetic Hands Meet Legacy Data: A Synthetic Dataset for Structured, Controllable, and Multimodal Evaluation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {466-477} }
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark-
[pdf]
[bibtex]@InProceedings{Aloni_2025_ICCV, author = {Aloni, Yaron and Shalev-Arkushin, Rotem and Shafir, Yonatan and Tevet, Guy and Fried, Ohad and Bermano, Amit Haim}, title = {Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {496-505} }
Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Garg_2025_ICCV, author = {Garg, Sparsh and Aich, Abhishek}, title = {Mapillary Vistas Validation for Fine-Grained Traffic Signs: A Benchmark Revealing Vision-Language Model Limitations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {513-520} }
LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2025_ICCV, author = {Wang, Kaihong and Kim, Donghyun and Betke, Margrit}, title = {LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {456-465} }
Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2025_ICCV, author = {Li, Feiran and Xu, Qianqian and Bao, Shilong and Han, Boyu and Yang, Zhiyong and Huang, Qingming}, title = {Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {506-512} }
Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion-
[pdf]
[arXiv]
[bibtex]@InProceedings{George_2025_ICCV, author = {George, Anjith and Marcel, S\'ebastien}, title = {Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {489-495} }
On the Generalization of Optical Flow: Quantifying Robustness to Dataset Shifts-
[pdf]
[supp]
[bibtex]@InProceedings{Bauer_2025_ICCV, author = {Bauer, Katrin and Bruhn, Andres and Schmalfuss, Jenny}, title = {On the Generalization of Optical Flow: Quantifying Robustness to Dataset Shifts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {478-488} }
