Yali Li

Orcid: 0000-0002-6629-7228

Affiliations:
  • Tsinghua University, Department of Electrical Engineering, TNList, Beijing, China (PhD 2013)


According to our database1, Yali Li authored at least 98 papers between 2010 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond.
CoRR, 2024

Dynamic Object Queries for Transformer-based Incremental Object Detection.
CoRR, 2024

Map Optical Properties to Subwavelength Structures Directly via a Diffusion Model.
CoRR, 2024

OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation.
CoRR, 2024

Transformer-Based Few-Shot Object Detection with Enhanced Fine-Tuning Stability.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Dataset with Multi-Modal Information and Multi-Granularity Descriptions for Video Captioning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Learning Generalizable Visual Representations via Self-Supervised Information Bottleneck.
Proceedings of the IEEE International Conference on Acoustics, 2024

Risk-Aware Self-consistent Imitation Learning for Trajectory Planning in Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2024, 2024

G<sup>3</sup>-LQ: Marrying Hyperbolic Alignment with Explicit Semantic-Geometric Modeling for 3D Visual Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AdaZoom: Towards Scale-Aware Large Scene Object Detection.
IEEE Trans. Multim., 2023

Metasurface-based Spectral Convolutional Neural Network for Matter Meta-imaging.
CoRR, 2023

A prompt tuning method for few-shot action recognition.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Uni3DETR: Unified 3D Detection Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VL-Grasp: a 6-Dof Interactive Grasp Policy for Language-Oriented Objects in Cluttered Indoor Scenes.
IROS, 2023

Look Before You Drive: Boosting Trajectory Forecasting via Imagining Future.
IROS, 2023

Feature Decoupling and Uncertainty Estimation for 3D Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

RoICLIP: Text-Enhanced UAV-Based Video Object Detection.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FTAN: Exploring Frame-Text Attention for lightweight Video Captioning.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

Divcon: Learning Concept Sequences for Semantically Diverse Image Captioning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Detecting Everything in the Open World: Towards Universal Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Traffic Sign Recognition With Lightweight Two-Stage Model in Complex Scenes.
IEEE Trans. Intell. Transp. Syst., 2022

BooDet: Gradient Boosting Object Detection With Additive Learning-Based Prediction Aggregation.
IEEE Trans. Image Process., 2022

Robust 3D face modeling and tracking from RGB-D images.
Multim. Syst., 2022

Generalizable Re-Identification from Videos with Cycle Association.
CoRR, 2022

R(Det)^2: Randomized Decision Routing for Object Detection.
CoRR, 2022

Self-Supervised Learning via Maximum Entropy Coding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hybrid Physical Metric For 6-DoF Grasp Pose Detection.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Portrait Interpretation and a Benchmark.
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

CRPN: Distinguish Novel Categories Via Class-Relevant Region Proposal Network for Few-Shot Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Few-Shot Object Detection with Local Correspondence RPN and Attentive Head.
Proceedings of the IEEE International Conference on Acoustics, 2022

Progressive-Granularity Retrieval Via Hierarchical Feature Alignment for Person Re-Identification.
Proceedings of the IEEE International Conference on Acoustics, 2022

GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval.
Proceedings of the Computer Vision - ECCV 2022, 2022

Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OSKDet: Orientation-sensitive Keypoint Localization for Rotated Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

R(Det)<sup>2</sup>: Randomized Decision Routing for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Polishing Network for Decoding of Higher-Quality Diverse Image Captions.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Disentangling based Environment-Robust Feature Learning for Person ReID.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Multimodal Based Automatic Feeding Robotic Device.
Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022

Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning to Segment Video Object With Accurate Boundaries.
IEEE Trans. Multim., 2021

Learning Part-based Convolutional Features for Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes.
CoRR, 2021

A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation.
CoRR, 2021

Do Different Tracking Tasks Require Different Appearance Models?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Partial Off-policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Fast Pedestrian Detection With Attention-Enhanced Multi-Scale RPN and Soft-Cascaded Decision Trees.
IEEE Trans. Intell. Transp. Syst., 2020

HAR-Net: Joint Learning of Hybrid Attention for Single-Stage Object Detection.
IEEE Trans. Image Process., 2020

Unidirectional Representation-Based Efficient Dictionary Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

Node-Adaptive Multi-Graph Fusion Using Extreme Value Theory.
IEEE Signal Process. Lett., 2020

Adaptively Leverage Unlabeled Tracklets Based on Part Attention Model for Few-Example Re-ID.
IEEE Signal Process. Lett., 2020

Progressive Representation Adaptation for Weakly Supervised Object Localization.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Fianet: Video Object Detection Via Joint Feature-Level And Instance-Level Aggregation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Intra-Clip Aggregation For Video Person Re-Identification.
Proceedings of the IEEE International Conference on Image Processing, 2020

AT-GAN: Attention Transfer GAN for Image-to-Image Translation.
Proceedings of the ICDSP 2020: 4th International Conference on Digital Signal Processing, 2020

CS-R-FCN: Cross-Supervised Learning for Large-Scale Object Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Real-Time Multi-Object Tracking.
Proceedings of the Computer Vision - ECCV 2020, 2020

Video Super-Resolution With Temporal Group Attention.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Unsupervised Deep Hashing With Adaptive Feature Learning for Image Retrieval.
IEEE Signal Process. Lett., 2019

Open-World Person Re-Identification With Deep Hash Feature Embedding.
IEEE Signal Process. Lett., 2019

Secondary Information Aware Facial Expression Recognition.
IEEE Signal Process. Lett., 2019

Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning.
CoRR, 2019

Hierarchical Structure and Joint Training for Large Scale Semi-supervised Object Detection.
CoRR, 2019

Cascade Attention: Multiple Feature Based Learning for Image Captioning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Parallel-Structure-based Transfer Learning for Deep NIR-to-VIS Face Recognition.
Proceedings of the Image and Graphics - 10th International Conference, 2019

Face Quality Assessment via Semi-supervised Learning.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

Exploiting Generalized Matched Filter for Efficient and Effective P300 Detection in Speller Paradigm.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

Intention Oriented Image Captions With Guiding Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Linkage Based Face Clustering via Graph Convolution Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Feature Learning for One-Shot Face Recognition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

A Highly Accurate Feature Fusion Network For Vehicle Detection In Surveillance Scenarios.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
DeepDeblur: Fast one-step blurry face images restoration.
CoRR, 2017

Improving the P300-based brain-computer interface with transfer learning.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

A highly accurate facial region network for unconstrained face detection.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification.
IEEE Trans. Neural Networks Learn. Syst., 2016

Exploiting EEG Channel Correlations in P300 Speller Paradigm for Brain-Computer Interface.
IEICE Trans. Inf. Syst., 2016

Bagging regularized common spatial pattern with hybrid motor imagery and myoelectric signal.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Weakly Supervised Object Localization with Progressive Domain Adaptation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Feature representation for statistical-learning-based object detection: A review.
Pattern Recognit., 2015

A survey of recent advances in visual feature detection.
Neurocomputing, 2015

Discriminative Middle-Level Parts Mining for Object Detection.
IEICE Trans. Inf. Syst., 2015

Selective parts for fine-grained recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Filter ensemble regularized common spatial pattern for EEG classification.
Proceedings of the Seventh International Conference on Digital Image Processing, 2015

2014
Learning Cascaded Shared-Boost Classifiers for Part-Based Object Detection.
IEEE Trans. Image Process., 2014

2012
Combining Fast Extracted Edge Descriptors and Feature Sharing for Rapid Object Detection.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2010
Eye/eyes tracking based on a unified deformable template and particle filtering.
Pattern Recognit. Lett., 2010

Person-independent head pose estimation based on random forest regression.
Proceedings of the International Conference on Image Processing, 2010


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