Qi Dai
Orcid: 0000-0002-4693-2968Affiliations:
- Microsoft Research Asia, Beijing, China
- Fudan University, School of Computer Science, Shanghai, China (PhD 2017)
According to our database1,
Qi Dai
authored at least 59 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on dl.acm.org
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Bibliography
2024
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions.
CoRR, 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
ACM Trans. Multim. Comput. Commun. Appl., January, 2023
CoRR, 2023
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Neurocomputing, 2021
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight.
CoRR, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
2016
Neurocomputing, 2016
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
2015
IEEE Trans. Image Process., 2015
Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
2014
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014
Challenge Huawei challenge: Fusing multimodal features with deep neural networks for Mobile Video Annotation.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014
2013
Beauty is here: evaluating aesthetics in videos using multimodal features and free training data.
Proceedings of the ACM Multimedia Conference, 2013
Fudan at MediaEval 2013: Violent Scenes Detection Using Motion Features and Part-Level Attributes.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013
2012
IEEE Trans. Image Process., 2012
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012
The Shanghai-Hongkong Team at MediaEval2012: Violent Scene Detection Using Trajectory-based Features.
Proceedings of the Working Notes Proceedings of the MediaEval 2012 Workshop, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012