Manyuan Zhang

According to our database1, Manyuan Zhang authored at least 15 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling.
CoRR, 2024

2023
Towards Large-scale Masked Face Recognition.
CoRR, 2023

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation.
CoRR, 2023

Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Towards Robust Face Recognition with Comprehensive Search.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Switchable K-class Hyperplanes for Noise-Robust Representation Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020.
CoRR, 2020

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020.
CoRR, 2020

Top-1 Solution of Multi-Moments in Time Challenge 2019.
CoRR, 2020

Discriminability Distillation in Group Representation Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Towards Flops-Constrained Face Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Privacy-Preserving Sensory Data Recovery.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Tensor Sensing for Rf Tomographic Imaging.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018


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