Zeyi Huang

According to our database1, Zeyi Huang authored at least 23 papers between 2014 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
Ascend HiFloat8 Format for Deep Learning.
CoRR, 2024

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding.
CoRR, 2023

A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding.
CoRR, 2022

The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization.
CoRR, 2022

Toward learning human-aligned cross-domain robust models by countering misaligned features.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On the Integration of Self-Attention and Convolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features.
CoRR, 2021

Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length.
CoRR, 2021

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Squared 𝓁<sub>2</sub> Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations.
CoRR, 2020

Improving Object Detection with Inverted Attention.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-challenging Improves Cross-Domain Generalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multiple Anchor Learning for Visual Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017
Large Margin Object Tracking with Circulant Feature Maps.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Remaining Useful Life Prediction for a Nonlinear Heterogeneous Wiener Process Model With an Adaptive Drift.
IEEE Trans. Reliab., 2015

2014
A new descriptor resistant to affine transformation and monotonic intensity change.
Comput. Vis. Image Underst., 2014


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