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Ailing Zeng

14 papers hereh-index 131.9k citations18 works total

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

author position
  • middle author14

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

fields
  • cs.CV14
same name
  • Ailing Zeng — 33 papers, h 25
  • Ailing Zeng — 9 papers, h 7
  • Ailing Zeng — 5 papers, h 5
  • Ailing Zeng — 2 papers, h 4

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 citedGrounded SAM: Assembling Open-World Models for Diverse Visual Tasks

93 citations · 132 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

The Quest for Generalizable Motion Generation: Data, Model, and Evaluation

Jing Lin, Ruisi Wang, Junzhe Lu +10

Despite recent advances in 3D human motion generation (MoGen) on standard benchmarks, existing text-to-motion models still face a fundamental bottleneck in their generalization cap…

cs.CV2025

DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior

Junzhe Lu, Jing Lin, Hongkun Dou +8

We present DPoser-X, a diffusion-based prior model for 3D whole-body human poses. Building a versatile and robust full-body human pose prior remains challenging due to the inherent…

cs.CV2025

SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation

Wanqi Yin, Zhongang Cai, Ruisi Wang +12

Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion capture with numerous applications. Despite encouraging progress, current state-of-the-art me…

cs.CV2025

Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset

Yuhong Zhang, Jing Lin, Ailing Zeng +7

In this paper, we introduce Motion-X++, a large-scale multimodal 3D expressive whole-body human motion dataset. Existing motion datasets predominantly capture body-only poses, lack…

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