◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Bo Peng

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
ORCID 0000-0002-8539-180X
same name
  • Bo Peng — 16 papers, h 48
  • Bo Peng — 6 papers, h 16
  • Bo Peng — 6 papers, h 16
  • Bo Peng — 5 papers
  • Bo Peng — 5 papers, h 23
  • Bo Peng — 5 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

most citedCollaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation

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

collaborators

4 papers

cs.CV2023★ 2 cited

Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation

Weinan Guan, Wei Wang, Jing Dong +2

Detecting maliciously falsified facial images and videos has attracted extensive attention from digital-forensics and computer-vision communities. An important topic in manipulatio…

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,…

cs.CV2023

Designing a 3D-Aware StyleNeRF Encoder for Face Editing

Songlin Yang, Wei Wang, Bo Peng +1

GAN inversion has been exploited in many face manipulation tasks, but 2D GANs often fail to generate multi-view 3D consistent images. The encoders designed for 2D GANs are not able…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.