Ke Li

Orcid: 0000-0001-7998-0731

Affiliations:
  • Tencent Youtu Lab, Shanghai, China


According to our database1, Ke Li authored at least 75 papers between 2014 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models.
CoRR, 2024

Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models.
CoRR, 2024

Local Manifold Learning for No-Reference Image Quality Assessment.
CoRR, 2024

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
CoRR, 2024

Multi-Modal Prompt Learning on Blind Image Quality Assessment.
CoRR, 2024

A General and Efficient Training for Transformer via Token Expansion.
CoRR, 2024

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning.
CoRR, 2024

Feature Denoising Diffusion Model for Blind Image Quality Assessment.
CoRR, 2024

Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Floating Anchor Diffusion Model for Multi-motif Scaffolding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sinkhorn Distance Minimization for Knowledge Distillation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Weakly Supervised Open-Vocabulary Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet.
IEEE Trans. Medical Imaging, September, 2023

Reciprocal normalization for domain adaptation.
Pattern Recognit., August, 2023

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise.
CoRR, 2023

MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples.
CoRR, 2023

Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity.
CoRR, 2023

Aligning and Prompting Everything All at Once for Universal Visual Perception.
CoRR, 2023

Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment.
CoRR, 2023

Towards Robust Text Retrieval with Progressive Learning.
CoRR, 2023

Woodpecker: Hallucination Correction for Multimodal Large Language Models.
CoRR, 2023

A Survey on Multimodal Large Language Models.
CoRR, 2023

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.
CoRR, 2023

SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger.
CoRR, 2023

Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-modal Queried Object Detection in the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CF-ViT: A General Coarse-to-Fine Method for Vision Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal.
CoRR, 2022

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization.
CoRR, 2022

Super Vision Transformer.
CoRR, 2022

Shadow-Aware Dynamic Convolution for Shadow Removal.
CoRR, 2022

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining.
CoRR, 2022

Coarse-to-Fine Vision Transformer.
CoRR, 2022

Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need.
CoRR, 2022

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Best Combination for Efficient N: M Sparsity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-supervised Models are Good Teaching Assistants for Vision Transformers.
Proceedings of the International Conference on Machine Learning, 2022

Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Fine-grained Data Distribution Alignment for Post-Training Quantization.
Proceedings of the Computer Vision - ECCV 2022, 2022

DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Decoder-Free Object Detection with Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

ARM: Any-Time Super-Resolution Method.
Proceedings of the Computer Vision - ECCV 2022, 2022

Training-free Transformer Architecture Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
RMNet: Equivalently Removing Residual Connection from Networks.
CoRR, 2021

Fine-grained Data Distribution Alignment for Post-Training Quantization.
CoRR, 2021

ISTR: End-to-End Instance Segmentation with Transformers.
CoRR, 2021

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning.
CoRR, 2021

On Evolving Attention Towards Domain Adaptation.
CoRR, 2021

On The Consistency Training for Open-Set Semi-Supervised Learning.
CoRR, 2021

Architecture Disentanglement for Deep Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

One for More: Selecting Generalizable Samples for Generalizable ReID Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Semi-Supervised Adversarial Monocular Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning.
CoRR, 2020

Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion.
CoRR, 2020

DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation.
CoRR, 2020

Architecture Disentanglement for Deep Neural Networks.
CoRR, 2020

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

Filter Grafting for Deep Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Vocal Melody Extraction via DNN-based Pitch Estimation and Salience-based Pitch Refinement.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
Data-Driven Synthesis of Cartoon Faces Using Different Styles.
IEEE Trans. Image Process., 2017

Fusing transcription results from polyphonic and monophonic audio for singing melody transcription in polyphonic music.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2014
Data-driven face cartoon stylization.
Proceedings of the SIGGRAPH Asia 2014 Technical Briefs, 2014


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