Kai Han

Orcid: 0000-0002-9761-2702

Affiliations:

Huawei Technologies, Noah's Ark Lab
Peking University, MOE Key Laboratory of Machine Perception / Cooperative Medianet Innovation Center, Beijing, China (former)

According to our database¹, Kai Han authored at least 81 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A robust audio deepfake detection system via multi-view feature.

[BibT_eX]

[DOI]

CoRR, 2024

DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Transformer Compression.

[BibT_eX]

[DOI]

CoRR, 2024

Data-efficient Large Vision Models through Sequential Autoregression.

[BibT_eX]

[DOI]

CoRR, 2024

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Optimization and Architecture for Tiny Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

An Empirical Study of Scaling Law for OCR.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A Survey on Vision Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation.

[BibT_eX]

[DOI]

CoRR, 2023

LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

Category Feature Transformer for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks.

[BibT_eX]

[DOI]

CoRR, 2023

GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?

[BibT_eX]

[DOI]

CoRR, 2023

VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale.

[BibT_eX]

[DOI]

CoRR, 2023

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masked Image Modeling with Local Multi-Scale Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Network Expansion For Practical Training Acceleration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Learning Versatile Convolution Filters for Efficient Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

GhostNets on Heterogeneous Devices via Cheap Operations.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

FastMIM: Expediting Masked Image Modeling Pre-training for Vision.

[BibT_eX]

[DOI]

CoRR, 2022

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture.

[BibT_eX]

[DOI]

CoRR, 2022

GhostNetV2: Enhance Cheap Operation with Long-Range Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerating Sparse Convolution with Column Vector-Wise Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Redistribution of Weights and Activations for AdderNet Quantization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Transformer-Based Object Detector with Coarse-Fine Crossing Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Vision GNN: An Image is Worth Graph of Nodes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Image Patch is a Wave: Phase-Aware Vision MLP.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Patch Slimming for Efficient Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Network Amplification with Efficient MACs Allocation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Hire-MLP: Vision MLP via Hierarchical Rearrangement.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CMT: Convolutional Neural Networks Meet Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Instance-Aware Dynamic Neural Network Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Greedy Network Enlarging.

[BibT_eX]

[DOI]

CoRR, 2021

CMT: Convolutional Neural Networks Meet Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Vision Transformers via Fine-Grained Manifold Distillation.

[BibT_eX]

[DOI]

CoRR, 2021

Post-Training Quantization for Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

Visual Transformer Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2021

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2021

Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Dynamic Resolution Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Frequency Domain Approximation for Binary Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Augmented Shortcuts for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Post-Training Quantization for Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transformer in Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ReNAS: Relativistic Evaluation of Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Positive-Unlabeled Data Purification in the Wild for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Object Detectors via Decoupled Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-bit Adaptive Distillation for Binary Neural Networks.

[BibT_eX]

[DOI]

Ying Nie

Kai Han

Yunhe Wang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Survey on Visual Transformer.

[BibT_eX]

[DOI]

CoRR, 2020

Dynamic Feature Pyramid Networks for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

[BibT_eX]

[DOI]

CoRR, 2020

Widening and Squeezing: Towards Accurate and Efficient QNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Searching for Low-Bit Weights in Quantized Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Training Binary Neural Networks through Learning with Noisy Supervision.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

GhostNet: More Features From Cheap Operations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

RNAS: Architecture Ranking for Powerful Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Balanced Binary Neural Networks with Gated Residual.

[BibT_eX]

[DOI]

CoRR, 2019

Full-Stack Filters to Build Minimum Viable CNNs.

[BibT_eX]

[DOI]

CoRR, 2019

Positive-Unlabeled Compression on the Cloud.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Instance-wise Sparsity for Accelerating Deep Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attribute Aware Pooling for Pedestrian Attribute Recognition.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Searching for Accurate Binary Neural Architectures.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Co-Evolutionary Compression for Unpaired Image Translation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Low-resolution Visual Recognition via Deep Feature Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Attribute-Aware Attention Model for Fine-grained Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Autoencoder Inspired Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Autoencoder Feature Selector.

[BibT_eX]

[DOI]

Kai Han

Chao Li

Xin Shi

CoRR, 2017

Kai Han

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...