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Haoming Wang

14 papers hereh-index 71k citations20 works total

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

author position
  • first author6
  • middle author7

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI5
  • cs.LG5
  • cs.CV4
same name
  • Haoming Wang — 9 papers, h 2
  • Haoming Wang — 4 papers, h 7
  • Haoming Wang — 1 paper, h 7
  • Haoming Wang — 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
20232026
most citedUI-TARS: Pioneering Automated GUI Interaction with Native Agents

5 citations · 7 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models

Haoming Wang, Wei Gao

Decades of cognitive science establish that humans navigate environments by forming cognitive maps, defined as allocentric and topology-preserving representations of 3D space. Whil…

cs.CV2026

MosaicThinker: On-Device Visual Spatial Reasoning for Embodied AI via Iterative Construction of Space Representation

Haoming Wang, Qiyao Xue, Weichen Liu +1

When embodied AI is expanding from traditional object detection and recognition to more advanced tasks of robot manipulation and actuation planning, visual spatial reasoning from t…

cs.CV2025

InfiniBench: Infinite Benchmarking for Visual Spatial Reasoning with Customizable Scene Complexity

Haoming Wang, Qiyao Xue, Wei Gao

Modern vision-language models (VLMs) are expected to have abilities of spatial reasoning with diverse scene complexities, but evaluating such abilities is difficult due to the lack…

cs.CV2025★ 1 cited

Seed1.5-VL Technical Report

Dong Guo, Faming Wu, Feida Zhu +194

We present Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning. Seed1.5-VL is composed with a 532M-parameter v…

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