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Si Liu

4 papers here

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

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Si Liu — 26 papers, h 49
  • Si Liu — 6 papers
  • Si Liu — 2 papers
  • Si Liu — 2 papers
  • Si Liu — 2 papers
  • Si Liu — 1 paper

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 citedGEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

9 citations · 21 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 5 cited

Masked Contrastive Pre-Training for Efficient Video-Text Retrieval

Fangxun Shu, Biaolong Chen, Yue Liao +6

We present a simple yet effective end-to-end Video-language Pre-training (VidLP) framework, Masked Contrastive Video-language Pretraining (MAC), for video-text retrieval tasks. Our…

cs.CV2022

Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline

Yuanbin Wang, Leyan Zhu, Shaofei Huang +4

As one of the fundamental functions of autonomous driving system, freespace detection aims at classifying each pixel of the image captured by the camera as drivable or non-drivable…

cs.CV2022★ 9 cited

GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

Yue Liao, Aixi Zhang, Miao Lu +3

The task of Human-Object Interaction~(HOI) detection could be divided into two core problems, i.e., human-object association and interaction understanding. In this paper, we reveal…

cs.CV2021★ 7 cited

TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding

Dailan He, Yusheng Zhao, Junyu Luo +4

Recently proposed fine-grained 3D visual grounding is an essential and challenging task, whose goal is to identify the 3D object referred by a natural language sentence from other…

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