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Jianfeng Lu

10 papers hereh-index 284.2k citations174 works total

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

author position
  • first author1
  • middle author4
  • last author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • math.NA2
  • cs.CL1
  • cs.GT1
  • cs.LG1
  • physics.comp-ph1
same name
  • Jianfeng Lu — 49 papers, h 35
  • Jianfeng Lu — 22 papers
  • Jianfeng Lu — 6 papers, h 7
  • Jianfeng Lu — 6 papers, h 5
  • Jianfeng Lu — 4 papers, h 3
  • Jianfeng Lu — 3 papers, h 15

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
20172022
most citedMASS: Masked Sequence to Sequence Pre-training for Language Generation

578 citations · 590 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 2 cited

Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction

Dong Wei, Huaijiang Sun, Bin Li +4

Stochastic human motion prediction aims to forecast multiple plausible future motions given a single pose sequence from the past. Most previous works focus on designing elaborate l…

cs.CV2020

End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera

Zhenbo Song, Jianfeng Lu, Tong Zhang +1

Inter-vehicle distance and relative velocity estimations are two basic functions for any ADAS (Advanced driver-assistance systems). In this paper, we propose a monocular camera-bas…

cs.CV2019★ 5 cited

Part-based Multi-stream Model for Vehicle Searching

Ya Sun, Minxian Li, Jianfeng Lu

Due to the enormous requirement in public security and intelligent transportation system, searching an identical vehicle has become more and more important. Current studies usually…

cs.CV2018

Weakly supervised segment annotation via expectation kernel density estimation

Liantao Wang, Qingwu Li, Jianfeng Lu

Since the labelling for the positive images/videos is ambiguous in weakly supervised segment annotation, negative mining based methods that only use the intra-class information eme…

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