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Qihang Zhang

17 papers hereh-index 10715 citations22 works total

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

author position
  • first author6
  • middle author10

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.RO3
  • cs.LG1
Homepage
same name
  • Qihang Zhang — 5 papers, h 9
  • Qihang Zhang — 4 papers, h 3
  • Qihang Zhang — 3 papers, h 7
  • Qihang Zhang — 3 papers, h 5
  • Qihang Zhang — 1 paper
  • Qihang Zhang — 1 paper, h 0

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
20202026
most citedF3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks

32 citations · 58 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 2 cited

Towards Smooth Video Composition

Qihang Zhang, Ceyuan Yang, Yujun Shen +2

Video generation requires synthesizing consistent and persistent frames with dynamic content over time. This work investigates modeling the temporal relations for composing video w…

cs.CV2022★ 10 cited

Generative Category-Level Shape and Pose Estimation with Semantic Primitives

Guanglin Li, Yifeng Li, Zhichao Ye +4

Empowering autonomous agents with 3D understanding for daily objects is a grand challenge in robotics applications. When exploring in an unknown environment, existing methods for o…

cs.CV2022★ 32 cited

F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks

Xintian Wu, Qihang Zhang, Yiming Wu +4

Formulated as a conditional generation problem, face animation aims at synthesizing continuous face images from a single source image driven by a set of conditional face motion. Pr…

cs.CV2022

Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining

Qihang Zhang, Zhenghao Peng, Bolei Zhou

Deep visuomotor policy learning, which aims to map raw visual observation to action, achieves promising results in control tasks such as robotic manipulation and autonomous driving…

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