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Zihan Wang

7 papers hereh-index 7119 citations9 works total

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

author position
  • first author3
  • middle author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO2
  • cs.LG1
same name
  • Zihan Wang — 23 papers, h 12
  • Zihan Wang — 20 papers, h 10
  • Zihan Wang — 16 papers, h 11
  • Zihan Wang — 12 papers, h 8
  • Zihan Wang — 11 papers, h 5
  • Zihan Wang — 9 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

activity
20232025
most citedImpact of Noisy Supervision in Foundation Model Learning

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

CRISP: Contact-Guided Real2Sim from Monocular Video with Planar Scene Primitives

Zihan Wang, Jiashun Wang, Jeff Tan +4

We introduce CRISP, a method that recovers simulatable human motion and scene geometry from monocular video. Prior work on joint human-scene reconstruction relies on data-driven pr…

cs.CV2025

MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion

Zihan Wang, Jeff Tan, Tarasha Khurana +2

We address the problem of dynamic scene reconstruction from sparse-view videos. Prior work often requires dense multi-view captures with hundreds of calibrated cameras (e.g. Panopt…

cs.CV2025

InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning

Zifu Wan, Yaqi Xie, Ce Zhang +5

Large multimodal foundation models, particularly in the domains of language and vision, have significantly advanced various tasks, including robotics, autonomous driving, informati…

cs.CV2024

AirShot: Efficient Few-Shot Detection for Autonomous Exploration

Zihan Wang, Bowen Li, Chen Wang +1

Few-shot object detection has drawn increasing attention in the field of robotic exploration, where robots are required to find unseen objects with a few online provided examples.…

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