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researcher

Jun Liu

8 papers here

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

author position
  • first author1
  • middle author5
  • last author1

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AR1
  • cs.CL1
  • cs.CR1
  • cs.LG1
ORCID 0000-0002-5815-2483
same name
  • Jun Liu — 39 papers, h 101
  • Jun Liu — 23 papers
  • Jun Liu — 12 papers, h 11
  • Jun Liu — 10 papers
  • Jun Liu — 7 papers, h 36
  • Jun Liu — 6 papers

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
20122024
most citedChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

12 citations · 20 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Left-right Discrepancy for Adversarial Attack on Stereo Networks

Pengfei Wang, Xiaofei Hui, Beijia Lu +3

Stereo matching neural networks often involve a Siamese structure to extract intermediate features from left and right images. The similarity between these intermediate left-right…

cs.CV2023

MAC: ModAlity Calibration for Object Detection

Yutian Lei, Jun Liu, Dong Huang

The flourishing success of Deep Neural Networks(DNNs) on RGB-input perception tasks has opened unbounded possibilities for non-RGB-input perception tasks, such as object detection…

cs.CV2023

Token Boosting for Robust Self-Supervised Visual Transformer Pre-training

Tianjiao Li, Lin Geng Foo, Ping Hu +4

Learning with large-scale unlabeled data has become a powerful tool for pre-training Visual Transformers (VTs). However, prior works tend to overlook that, in real-world scenarios,…

cs.CV2016★ 3 cited

Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

Jun Liu, Amir Shahroudy, Dong Xu +1

3D action recognition - analysis of human actions based on 3D skeleton data - becomes popular recently due to its succinctness, robustness, and view-invariant representation. Recen…

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