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researcher

Bo Peng

41 papers hereh-index 4811k citations486 works total

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

author position
  • first author13
  • middle author25
  • last author2

Across the 40 of 41 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • quant-ph13
  • cs.CL2
  • cs.DS2
  • cs.LG2
  • astro-ph.GA1
same name
  • Bo Peng — 29 papers, h 16
  • Bo Peng — 21 papers, h 8
  • Bo Peng — 16 papers, h 23
  • Bo Peng — 16 papers, h 16
  • Bo Peng — 16 papers, h 2
  • Bo Peng — 11 papers, h 18

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
20102025
most citedNWChem: Past, Present, and Future

699 citations · 1.3k across the 41 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

4 papers · 2 filters

cs.CV2023

Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms

Tingyu Zhao, Bo Peng, Yuan Sun +3

Recently, advancements in deep learning-based superpixel segmentation methods have brought about improvements in both the efficiency and the performance of segmentation. However, a…

cs.CV2023

USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation

Xiaofan Li, Bo Peng, Jie Hu +3

Unsupervised skin lesion segmentation offers several benefits, including conserving expert human resources, reducing discrepancies due to subjective human labeling, and adapting to…

cs.CV2023

Learning Invariant Representation via Contrastive Feature Alignment for Clutter Robust SAR Target Recognition

Bowen Peng, Jianyue Xie, Bo Peng +1

The deep neural networks (DNNs) have freed the synthetic aperture radar automatic target recognition (SAR ATR) from expertise-based feature designing and demonstrated superiority o…

cs.CV2023★ 1 cited

IntrinsicNGP: Intrinsic Coordinate based Hash Encoding for Human NeRF

Bo Peng, Jun Hu, Jingtao Zhou +2

Recently, many works have been proposed to utilize the neural radiance field for novel view synthesis of human performers. However, most of these methods require hours of training,…

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