Bowen Dong

Orcid: 0000-0001-7379-1286

Affiliations:
  • Harbin Institute of Technology, Harbin, Heilongjiang, China


According to our database1, Bowen Dong authored at least 23 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AEGIS: Exploring the Limit of World Knowledge Capabilities for Unified Mulitmodal Models.
CoRR, January, 2026

ConSept: Continual semantic segmentation via adapter-based vision transformer.
Pattern Recognit. Lett., 2026

2025
Spatial-Temporal Saliency Guided Unbiased Contrastive Learning for Video Scene Graph Generation.
IEEE Trans. Multim., 2025

IMWA: Iterative Model Weight Averaging benefits class-imbalanced learning.
Pattern Recognit., 2025

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
MR-GDINO: Efficient Open-World Continual Object Detection.
CoRR, 2024

OASIS: Open Agent Social Interaction Simulations with One Million Agents.
CoRR, 2024

LPT++: Efficient Training on Mixture of Long-tailed Experts.
CoRR, 2024

IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks.
CoRR, 2024

Class Balance Matters to Active Class-Incremental Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Towards Universal Vision-language Omni-supervised Segmentation.
CoRR, 2023

LPT: Long-tailed Prompt Tuning for Image Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Texts as Images in Prompt Tuning for Multi-Label Image Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Symmetry-Aware Transformer-Based Mirror Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards Class Interpretable Vision Transformer with Multi-Class-Tokens.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Self-Promoted Supervision for Few-Shot Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
Bags of tricks for learning depth and camera motion from monocular videos.
Virtual Real. Intell. Hardw., 2019


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