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Junjie Cao

4 papers hereh-index 5101 citations18 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV4
same name
  • Junjie Cao — 82 papers, h 36
  • Junjie Cao — 6 papers, h 2
  • Junjie Cao — 4 papers, h 8
  • Junjie Cao — 4 papers, h 3
  • Junjie Cao — 4 papers, h 1
  • Junjie Cao — 3 papers, h 2

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 citedPose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

DMNR: Unsupervised De-noising of Point Clouds Corrupted by Airborne Particles

Chu Chen, Yanqi Ma, Bingcheng Dong +1

LiDAR sensors are critical for autonomous driving and robotics applications due to their ability to provide accurate range measurements and their robustness to lighting conditions.…

cs.CV2023

PointNorm-Net: Self-Supervised Normal Prediction of 3D Point Clouds via Multi-Modal Distribution Estimation

Jie Zhang, Minghui Nie, Changqing Zou +3

Although supervised deep normal estimators have recently shown impressive results on synthetic benchmarks, their performance deteriorates significantly in real-world scenarios due…

cs.CV2023★ 2 cited

Pose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention

Bin Liu, Xiaolin Wei, Bo Li +2

Most of the existing audio-driven 3D facial animation methods suffered from the lack of detailed facial expression and head pose, resulting in unsatisfactory experience of human-ro…

cs.CV2020

SMPR: Single-Stage Multi-Person Pose Regression

Junqi Lin, Huixin Miao, Junjie Cao +2

Existing multi-person pose estimators can be roughly divided into two-stage approaches (top-down and bottom-up approaches) and one-stage approaches. The two-stage methods either su…

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