ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving

Caesar, H., Bankiti, V., Lang, A.H., Vora, S., Liong, V.E., Xu, Q., Krishnan, A., Pan, Y., Baldan, G., Beijbom, O.: nuscenes: A multimodal dataset for autonomous driving. In: CVPR (2020)

2020

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Breitenstein, J., Termöhlen, J.A., Lipinski, D., Fingscheidt, T.: Corner cases for visual perception in automated driving: Some guidance on detection approaches. arXiv preprint arXiv:2102.05897 (2021)

Original

2021

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Chen, K., Hong, L., Xu, H., Li, Z., Yeung, D.Y.: Multisiam: Self-supervised multi-instance siamese representation learning for autonomous driving. In: ICCV (2021)

2021

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Han, J., Liang, X., Xu, H., Chen, K., Hong, L., Ye, C., Zhang, W., Li, Z., Liang, X., Xu, C.: Soda10m: Towards large-scale object detection benchmark for autonomous driving. arXiv preprint arXiv:2106.11118 (2021)

Original

2021

Earlier work this paper cites.

Li, K., Chen, K., Wang, H., Hong, L., Ye, C., Han, J., Chen, Y., Zhang, W., Xu, C., Yeung, D.Y., et al.: Coda: A real-world road corner case dataset for object detection in autonomous driving. arXiv preprint arXiv:2203.07724 (2022)

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2022

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Liu, Z., Han, J., Chen, K., Hong, L., Xu, H., Xu, C., Li, Z.: Task-customized self-supervised pre-training with scalable dynamic routing. In: AAAI (2022)

2022

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Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: CVPR (2022)

2022

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Chen, K., Liu, Z., Hong, L., Xu, H., Li, Z., Yeung, D.Y.: Mixed autoencoder for self-supervised visual representation learning. In: CVPR (2023)

2023

Earlier work this paper cites.

Chen, K., Wang, C., Yang, K., Han, J., Hong, L., Mi, F., Xu, H., Liu, Z., Huang, W., Li, Z., Yeung, D.Y., Shang, L., Jiang, X., Liu, Q.: Gaining wisdom from setbacks: Aligning large language models via mistake analysis. arXiv preprint arXiv:2310.10477 (2023)

Original

2023

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Chen, K., Xie, E., Chen, Z., Hong, L., Li, Z., Yeung, D.Y.: Integrating geometric control into text-to-image diffusion models for high-quality detection data generation via text prompt. arXiv preprint arXiv:2306.04607 (2023)

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2023

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Gao, R., Chen, K., Xie, E., Hong, L., Li, Z., Yeung, D.Y., Xu, Q.: Magicdrive: Street view generation with diverse 3d geometry control. arXiv preprint arXiv:2310.02601 (2023)

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2023

Cited alongside, same era.

Gou, Y., Liu, Z., Chen, K., Hong, L., Xu, H., Li, A., Yeung, D.Y., Kwok, J.T., Zhang, Y.: Mixture of cluster-conditional lora experts for vision-language instruction tuning. arXiv preprint arXiv:2312.12379 (2023)

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2023

Cited alongside, same era.

Li, P., Liu, Z., Chen, K., Hong, L., Zhuge, Y., Yeung, D.Y., Lu, H., Jia, X.: Trackdiffusion: Multi-object tracking data generation via diffusion models. arXiv preprint arXiv:2312.00651 (2023)

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2023

Cited alongside, same era.

Liu, Z., Chen, K., Zhang, Y., Han, J., Hong, L., Xu, H., Li, Z., Yeung, D.Y., Kwok, J.: Geom-erasing: Geometry-driven removal of implicit concept in diffusion models. arXiv preprint arXiv:2310.05873 (2023)

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2023

Cited alongside, same era.

Gou, Y., Chen, K., Liu, Z., Hong, L., Xu, H., Li, Z., Yeung, D.Y., Kwok, J.T., Zhang, Y.: Eyes closed, safety on: Protecting multimodal llms via image-to-text transformation. arXiv preprint arXiv:2403.09572 (2024)

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2024

Later among the works it cites.

Li, Y., Zhang, W., Chen, K., Liu, Y., Li, P., Gao, R., Hong, L., Tian, M., Zhao, X., Li, Z., et al.: Automated evaluation of large vision-language models on self-driving corner cases. arXiv preprint arXiv:2404.10595 (2024)

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2024

Later among the works it cites.

Liu, H., Li, C., Li, Y., Lee, Y.J.: Improved baselines with visual instruction tuning. In: CVPR (2024)

2024

Later among the works it cites.

Liu, Z., Gou, Y., Chen, K., Hong, L., Gao, J., Mi, F., Zhang, Y., Li, Z., Jiang, X., Liu, Q., et al.: Mixture of insightful experts (mote): The synergy of thought chains and expert mixtures in self-alignment. arXiv preprint arXiv:2405.00557 (2024)

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2024

Later among the works it cites.