Yizeng Han

Orcid: 0000-0001-5706-8784

According to our database1, Yizeng Han authored at least 31 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Latency-Aware Unified Dynamic Networks for Efficient Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength.
IEEE Trans. Cybern., November, 2024

Fine-Grained Recognition With Learnable Semantic Data Augmentation.
IEEE Trans. Image Process., 2024

Exploring contextual modeling with linear complexity for point cloud segmentation.
CoRR, 2024

Dynamic Diffusion Transformer.
CoRR, 2024

Semantic Refocused Tuning for Open-Vocabulary Panoptic Segmentation.
CoRR, 2024

UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation.
CoRR, 2024

Demystify Mamba in Vision: A Linear Attention Perspective.
CoRR, 2024

Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.
CoRR, 2024

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DyFADet: Dynamic Feature Aggregation for Temporal Action Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

GRA: Detecting Oriented Objects Through Group-Wise Rotating and Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

Efficient Diffusion Transformer with Step-Wise Dynamic Attention Mediators.
Proceedings of the Computer Vision - ECCV 2024, 2024

Agent Attention: On the Integration of Softmax and Linear Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

GSVA: Generalized Segmentation via Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mask Grounding for Referring Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Agent Attention: On the Integration of Softmax and Linear Attention.
CoRR, 2023

Computation-efficient Deep Learning for Computer Vision: A Survey.
CoRR, 2023

Adaptive Rotated Convolution for Rotated Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FLatten Transformer: Vision Transformer using Focused Linear Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Perceiver for Efficient Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Dynamic Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Latency-aware Spatial-wise Dynamic Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Weight Samples for Dynamic Early-Exiting Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Spatially Adaptive Feature Refinement for Efficient Inference.
IEEE Trans. Image Process., 2021

Towards Learning Spatially Discriminative Feature Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Focus for Efficient Video Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

2020
Resolution Adaptive Networks for Efficient Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018


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