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Cheng Wang

4 papers hereh-index 15960 citations26 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV4
same name
  • Cheng Wang — 23 papers, h 48
  • Cheng Wang — 20 papers, h 31
  • Cheng Wang — 16 papers, h 53
  • Cheng Wang — 11 papers, h 10
  • Cheng Wang — 10 papers, h 5
  • Cheng Wang — 9 papers, h 7

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 citedTransformation-Equivariant 3D Object Detection for Autonomous Driving

13 citations · 20 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames

Changjie Qiu, Zhiyong Wang, Xiuhong Lin +3

Existing point cloud modeling datasets primarily express the modeling precision by pose or trajectory precision rather than the point cloud modeling effect itself. Under this deman…

cs.CV2023★ 2 cited

CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions

Ming Yan, Xin Wang, Yudi Dai +5

Motion capture is a long-standing research problem. Although it has been studied for decades, the majority of research focus on ground-based movements such as walking, sitting, dan…

cs.CV2022★ 13 cited

Transformation-Equivariant 3D Object Detection for Autonomous Driving

Hai Wu, Chenglu Wen, Wei Li +3

3D object detection received increasing attention in autonomous driving recently. Objects in 3D scenes are distributed with diverse orientations. Ordinary detectors do not explicit…

cs.CV2022★ 4 cited

LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds

Jialian Li, Jingyi Zhang, Zhiyong Wang +6

Existing motion capture datasets are largely short-range and cannot yet fit the need of long-range applications. We propose LiDARHuman26M, a new human motion capture dataset captur…

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