Xin Wen

Orcid: 0000-0003-3898-0406

Affiliations:
  • University of Hong Kong, CVMI Lab, Hong Kong
  • Tongji University, Shanghai, China (former)


According to our database1, Xin Wen authored at least 16 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Granularity Matters in Long-Tail Learning.
CoRR, 2024

Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights.
CoRR, 2024

Can OOD Object Detectors Learn from Foundation Models?
Proceedings of the Computer Vision - ECCV 2024, 2024

What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training.
CoRR, 2023

CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Parametric Classification for Generalized Category Discovery: A Baseline Study.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Simple Parametric Classification Baseline for Generalized Category Discovery.
CoRR, 2022

Self-Supervised Visual Representation Learning with Semantic Grouping.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Temporal Context Aggregation for Video Retrieval with Contrastive Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Context Encoding for Video Retrieval with Contrastive Learning.
CoRR, 2020

Distilling Visual Priors from Self-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


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