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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 2: AAAI-22 Technical Tracks 2

Learning Optical Flow with Adaptive Graph Reasoning

February 1, 2023

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Authors

Ao Luo

Megvii


Fan Yang

Group 42


Kunming Luo

Megvii


Xin Li

Group 42


Haoqiang Fan

Megvii


Shuaicheng Liu

UESTC Megvii


DOI:

10.1609/aaai.v36i2.20083


Abstract:

Estimating per-pixel motion between video frames, known as optical flow, is a long-standing problem in video understanding and analysis. Most contemporary optical flow techniques largely focus on addressing the cross-image matching with feature similarity, with few methods considering how to explicitly reason over the given scene for achieving a holistic motion understanding. In this work, taking a fresh perspective, we introduce a novel graph-based approach, called adaptive graph reasoning for optical flow (AGFlow), to emphasize the value of scene/context information in optical flow. Our key idea is to decouple the context reasoning from the matching procedure, and exploit scene information to effectively assist motion estimation by learning to reason over the adaptive graph. The proposed AGFlow can effectively exploit the context information and incorporate it within the matching procedure, producing more robust and accurate results. On both Sintel clean and final passes, our AGFlow achieves the best accuracy with EPE of 1.43 and 2.47 pixels, outperforming state-of-the-art approaches by 11.2% and 13.6%, respectively. Code is publicly available at https://github.com/megvii-research/AGFlow.

Topics: AAAI

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HOW TO CITE:

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu Learning Optical Flow with Adaptive Graph Reasoning Proceedings of the AAAI Conference on Artificial Intelligence (2022) 1890-1898.

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu Learning Optical Flow with Adaptive Graph Reasoning AAAI 2022, 1890-1898.

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu (2022). Learning Optical Flow with Adaptive Graph Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence, 1890-1898.

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu. Learning Optical Flow with Adaptive Graph Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.1890-1898.

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu. 2022. Learning Optical Flow with Adaptive Graph Reasoning. "Proceedings of the AAAI Conference on Artificial Intelligence". 1890-1898.

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu. (2022) "Learning Optical Flow with Adaptive Graph Reasoning", Proceedings of the AAAI Conference on Artificial Intelligence, p.1890-1898

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu, "Learning Optical Flow with Adaptive Graph Reasoning", AAAI, p.1890-1898, 2022.

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu. "Learning Optical Flow with Adaptive Graph Reasoning". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.1890-1898.

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu. "Learning Optical Flow with Adaptive Graph Reasoning". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 1890-1898.

Ao Luo||Fan Yang||Kunming Luo||Xin Li||Haoqiang Fan||Shuaicheng Liu. Learning Optical Flow with Adaptive Graph Reasoning. AAAI[Internet]. 2022[cited 2023]; 1890-1898.


ISSN: 2374-3468


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