Zhuoling Li

Orcid: 0009-0004-2166-3353

According to our database1, Zhuoling Li authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
UniMODE: Unified Monocular 3D Object Detection.
CoRR, 2024

2023
Efficient Few-Shot Classification via Contrastive Pretraining on Web Data.
IEEE Trans. Artif. Intell., June, 2023

RelationTrack: Relation-Aware Multiple Object Tracking With Decoupled Representation.
IEEE Trans. Multim., 2023

GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping.
CoRR, 2023

The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge.
CoRR, 2023

MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking.
CoRR, 2023

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection.
CoRR, 2023

Better Integrating Vision and Semantics for Improving Few-shot Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Few-Shot Steel Surface Defect Detection.
IEEE Trans. Instrum. Meas., 2022

Delving into the Pre-training Paradigm of Monocular 3D Object Detection.
CoRR, 2022

Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling.
CoRR, 2021

Enabling the Network to Surf the Internet.
CoRR, 2021

2019
CLU-CNNs: Object detection for medical images.
Neurocomputing, 2019


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