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Dian Li

9 papers hereh-index 10581 citations13 works total

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

author position
  • middle author7
  • last author2

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.IR1
same name
  • Dian Li — 7 papers, h 3
  • Dian Li — 5 papers, h 3
  • Dian Li — 3 papers, h 7
  • Dian Li — 3 papers, h 3
  • Dian Li — 2 papers, h 2
  • Dian Li — 2 papers, h 0

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
20212023
most citedMasked Image Modeling with Denoising Contrast

8 citations · 16 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation

Lu Qi, Jason Kuen, Zhe Lin +7

To improve instance-level detection/segmentation performance, existing self-supervised and semi-supervised methods extract either task-unrelated or task-specific training signals f…

cs.CV2021★ 4 cited

CLIP4Caption ++: Multi-CLIP for Video Caption

Mingkang Tang, Zhanyu Wang, Zhaoyang Zeng +2

This report describes our solution to the VALUE Challenge 2021 in the captioning task. Our solution, named CLIP4Caption++, is built on X-Linear/X-Transformer, which is an advanced…

cs.CV2021

CLIP4Caption: CLIP for Video Caption

Mingkang Tang, Zhanyu Wang, Zhenhua Liu +3

Video captioning is a challenging task since it requires generating sentences describing various diverse and complex videos. Existing video captioning models lack adequate visual r…

cs.CV2021

Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization

Rui Qian, Yuxi Li, Huabin Liu +5

The crux of self-supervised video representation learning is to build general features from unlabeled videos. However, most recent works have mainly focused on high-level semantics…

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