Yongtuo Liu

Orcid: 0000-0001-5953-2771

According to our database1, Yongtuo Liu authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Parsing-Conditioned Anime Translation: A New Dataset and Method.
ACM Trans. Graph., 2023

Graph Switching Dynamical Systems.
Proceedings of the International Conference on Machine Learning, 2023

Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Learning Transferable Perturbations for Image Captioning.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Mask-Guided Deformation Adaptive Network for Human Parsing.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Make Your Own Sprites: Aliasing-Aware and Cell-Controllable Pixelization.
ACM Trans. Graph., 2022

CrowdGAN: Identity-Free Interactive Crowd Video Generation and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dynamic Transformer for Few-shot Instance Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

NFormer: Robust Person Re-identification with Neighbor Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Weakly supervised segmentation via instance-aware propagation.
Neurocomputing, 2021

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting.
CoRR, 2021

Reciprocal Transformations for Unsupervised Video Object Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Crowd Counting Via Cross-Stage Refinement Networks.
IEEE Trans. Image Process., 2020


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