Li Yuan

Orcid: 0000-0002-2120-5588

Affiliations:
  • Peking University, School of Electronic and Computer Engineering, Beijing, China
  • National University of Singapore, Singapore


According to our database1, Li Yuan authored at least 66 papers between 2018 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
Efficient Long-Short Temporal Attention network for unsupervised Video Object Segmentation.
Pattern Recognit., February, 2024

QKFormer: Hierarchical Spiking Transformer using Q-K Attention.
CoRR, 2024

Envision3D: One Image to 3D with Anchor Views Interpolation.
CoRR, 2024

ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing.
CoRR, 2024

Deep peak property learning for efficient chiral molecules ECD spectra prediction.
CoRR, 2024

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket.
CoRR, 2024

2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Truncated attention-aware proposal networks with multi-scale dilation for temporal action detection.
Pattern Recognit., October, 2023

VOLO: Vision Outlooker for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting.
CoRR, 2023

Machine Mindset: An MBTI Exploration of Large Language Models.
CoRR, 2023

FreestyleRet: Retrieving Images from Style-Diversified Queries.
CoRR, 2023

Regressor-Segmenter Mutual Prompt Learning for Crowd Counting.
CoRR, 2023

Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding.
CoRR, 2023

Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs.
CoRR, 2023

HiFi-123: Towards High-fidelity One Image to 3D Content Generation.
CoRR, 2023

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment.
CoRR, 2023

Adversarial Attacks on Video Object Segmentation with Hard Region Discovery.
CoRR, 2023

Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation.
CoRR, 2023

Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation.
CoRR, 2023

ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases.
CoRR, 2023

Auto-Spikformer: Spikformer Architecture Search.
CoRR, 2023

ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation.
CoRR, 2023

Temporal Contrastive Learning for Spiking Neural Networks.
CoRR, 2023

Album Storytelling with Iterative Story-aware Captioning and Large Language Models.
CoRR, 2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation.
CoRR, 2023

Parallel Vertex Diffusion for Unified Visual Grounding.
CoRR, 2023

Spike-driven Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Spikformer: When Spiking Neural Network Meets Transformer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Sparse Neural Networks with Identity Layers.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Dynamic Clustering Network for Unsupervised Semantic Segmentation.
CoRR, 2022

Masked Autoencoders for Point Cloud Self-supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Locality Guidance for Improving Vision Transformers on Tiny Datasets.
Proceedings of the Computer Vision, 2022

Improving Vision Transformers by Revisiting High-Frequency Components.
Proceedings of the Computer Vision, 2022

2021
Exploring global diverse attention via pairwise temporal relation for video summarization.
Pattern Recognit., 2021

Refiner: Refining Self-attention for Vision Transformers.
CoRR, 2021

Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet.
CoRR, 2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.
CoRR, 2021

All Tokens Matter: Token Labeling for Training Better Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PnP-DETR: Towards Efficient Visual Analysis with Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Continual Learning via Bit-Level Information Preserving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks.
IEEE Trans. Multim., 2020

Adversarial images for the primate brain.
CoRR, 2020

Towards Accurate Human Pose Estimation in Videos of Crowded Scenes.
CoRR, 2020

A Simple Baseline for Pose Tracking in Videos of Crowded Scenes.
CoRR, 2020

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes.
CoRR, 2020

Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Towards Accurate Human Pose Estimation in Videos of Crowded Scenes.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Simple Baseline for Pose Tracking in Videos of Crowed Scenes.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Central Similarity Quantization for Efficient Image and Video Retrieval.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Revisiting Knowledge Distillation via Label Smoothing Regularization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Revisit Knowledge Distillation: a Teacher-free Framework.
CoRR, 2019

Central Similarity Hashing via Hadamard matrix.
CoRR, 2019

Few-Shot Adaptive Faster R-CNN.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distilling Object Detectors With Fine-Grained Feature Imitation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Object Relation Detection Based on One-shot Learning.
CoRR, 2018


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