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researcher

Jiaqi Wang

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
ORCID 0000-0003-2210-9608
same name
  • Jiaqi Wang — 64 papers, h 31
  • Jiaqi Wang — 20 papers, h 13
  • Jiaqi Wang — 16 papers, h 4
  • Jiaqi Wang — 14 papers, h 13
  • Jiaqi Wang — 12 papers, h 4
  • Jiaqi Wang — 11 papers, h 3

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

activity
20182024
most citedFew-Shot Object Detection via Association and DIscrimination

24 citations · 58 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 3 cited

VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Haodong Duan, Xinyu Fang, Junming Yang +41

We present VLMEvalKit: an open-source toolkit for evaluating large multi-modality models based on PyTorch. The toolkit aims to provide a user-friendly and comprehensive framework f…

cs.CV2021★ 24 cited

Few-Shot Object Detection via Association and DIscrimination

Yuhang Cao, Jiaqi Wang, Ying Jin +4

Object detection has achieved substantial progress in the last decade. However, detecting novel classes with only few samples remains challenging, since deep learning under low dat…

cs.CV2019★ 20 cited

Side-Aware Boundary Localization for More Precise Object Detection

Jiaqi Wang, Wenwei Zhang, Yuhang Cao +6

Current object detection frameworks mainly rely on bounding box regression to localize objects. Despite the remarkable progress in recent years, the precision of bounding box regre…

cs.CV2018★ 11 cited

Optimizing Video Object Detection via a Scale-Time Lattice

Kai Chen, Jiaqi Wang, Shuo Yang +4

High-performance object detection relies on expensive convolutional networks to compute features, often leading to significant challenges in applications, e.g. those that require d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.