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Zhong Ji

26 papers hereh-index 303.4k citations119 works total

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

author position
  • first author13
  • middle author12

Across the 25 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV26
same name
  • Zhong Ji — 8 papers, h 6
  • Zhong Ji — 5 papers, h 10
  • Zhong Ji — 2 papers, h 1
  • Zhong Ji — 2 papers, h 2

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
20162026
most citedMemorizing Complementation Network for Few-Shot Class-Incremental Learning

67 citations · 330 across the 26 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 67 cited

Memorizing Complementation Network for Few-Shot Class-Incremental Learning

Zhong Ji, Zhishen Hou, Xiyao Liu +2

Few-shot Class-Incremental Learning (FSCIL) aims at learning new concepts continually with only a few samples, which is prone to suffer the catastrophic forgetting and overfitting…

cs.CV2022

Boosting Video-Text Retrieval with Explicit High-Level Semantics

Haoran Wang, Di Xu, Dongliang He +4

Video-text retrieval (VTR) is an attractive yet challenging task for multi-modal understanding, which aims to search for relevant video (text) given a query (video). Existing metho…

cs.CV2022★ 3 cited

CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval

Haoran Wang, Dongliang He, Wenhao Wu +7

Image-Text Retrieval (ITR) is challenging in bridging visual and lingual modalities. Contrastive learning has been adopted by most prior arts. Except for limited amount of negative…

cs.CV2022

Reinforced Pedestrian Attribute Recognition with Group Optimization Reward

Zhong Ji, Zhenfei Hu, Yaodong Wang +1

Pedestrian Attribute Recognition (PAR) is a challenging task in intelligent video surveillance. Two key challenges in PAR include complex alignment relations between images and att…

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