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Li Jiang

22 papers hereh-index 237.7k citations30 works total

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

author position
  • first author4
  • middle author18

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV22
same name
  • Li Jiang — 15 papers, h 13
  • Li Jiang — 10 papers, h 5
  • Li Jiang — 9 papers, h 20
  • Li Jiang — 8 papers, h 5
  • Li Jiang — 7 papers, h 6
  • Li Jiang — 6 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
20192025
most citedPoint Transformer V2: Grouped Vector Attention and Partition-based Pooling

195 citations · 607 across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 37 cited

CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

Wu Zheng, Weiliang Tang, Sijin Chen +2

Existing single-stage detectors for locating objects in point clouds often treat object localization and category classification as separate tasks, so the localization accuracy and…

cs.CV2020★ 38 cited

Point Transformer

Hengshuang Zhao, Li Jiang, Jiaya Jia +2

Self-attention networks have revolutionized natural language processing and are making impressive strides in image analysis tasks such as image classification and object detection.…

cs.CV2020★ 5 cited

Generalized Few-shot Semantic Segmentation

Zhuotao Tian, Xin Lai, Li Jiang +4

Training semantic segmentation models requires a large amount of finely annotated data, making it hard to quickly adapt to novel classes not satisfying this condition. Few-Shot Seg…

cs.CV2020★ 32 cited

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Li Jiang, Hengshuang Zhao, Shaoshuai Shi +3

Instance segmentation is an important task for scene understanding. Compared to the fully-developed 2D, 3D instance segmentation for point clouds have much room to improve. In this…

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