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Bowen Dong

4 papers hereh-index 5289 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Bowen Dong — 4 papers
  • Bowen Dong — 3 papers, h 13
  • Bowen Dong — 3 papers, h 2
  • Bowen Dong — 1 paper
  • Bowen Dong — 1 paper
  • Bowen Dong — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedClass Balance Matters to Active Class-Incremental Learning

8 citations · 9 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM

Bowen Dong, Minheng Ni, Zitong Huang +3

Multimodal hallucination in multimodal large language models (MLLMs) restricts the correctness of MLLMs. However, multimodal hallucinations are multi-sourced and arise from diverse…

cs.CV2024

MR-GDINO: Efficient Open-World Continual Object Detection

Bowen Dong, Zitong Huang, Guanglei Yang +2

Open-world (OW) recognition and detection models show strong zero- and few-shot adaptation abilities, inspiring their use as initializations in continual learning methods to improv…

cs.CV2024★ 8 cited

Class Balance Matters to Active Class-Incremental Learning

Zitong Huang, Ze Chen, Yuanze Li +6

Few-Shot Class-Incremental Learning has shown remarkable efficacy in efficient learning new concepts with limited annotations. Nevertheless, the heuristic few-shot annotations may…

cs.CV2024★ 1 cited

LPT++: Efficient Training on Mixture of Long-tailed Experts

Bowen Dong, Pan Zhou, Wangmeng Zuo

We introduce LPT++, a comprehensive framework for long-tailed classification that combines parameter-efficient fine-tuning (PEFT) with a learnable model ensemble. LPT++ enhances fr…

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