activity
20232026
most citedMultimodal Action Quality Assessment

49 citations · 72 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation

Nan Lei, Yuan-Ming Li, Ling-An Zeng +5

Despite substantial progress in text-driven 3D human motion synthesis, generating realistic multi-person interaction sequences remains challenging. Notably, body inter-penetration…

cs.CV2025★ 4 cited

Progressive Human Motion Generation Based on Text and Few Motion Frames

Ling-An Zeng, Gaojie Wu, Ancong Wu +2

Although existing text-to-motion (T2M) methods can produce realistic human motion from text description, it is still difficult to align the generated motion with the desired postur…

cs.CV2025

Efficient Explicit Joint-level Interaction Modeling with Mamba for Text-guided HOI Generation

Guohong Huang, Ling-An Zeng, Zexin Zheng +2

We propose a novel approach for generating text-guided human-object interactions (HOIs) that achieves explicit joint-level interaction modeling in a computationally efficient manne…

cs.CV2025

ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation

Ling-An Zeng, Guohong Huang, Yi-Lin Wei +4

We propose ChainHOI, a novel approach for text-driven human-object interaction (HOI) generation that explicitly models interactions at both the joint and kinetic chain levels. Unli…

cs.CV2024

Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation

Ling-An Zeng, Guohong Huang, Gaojie Wu +1

Despite the significant role text-to-motion (T2M) generation plays across various applications, current methods involve a large number of parameters and suffer from slow inference…

cs.CV2024

PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation

Renjie Lu, Jingke Meng, Wei-Shi Zheng

Vision and language navigation is a task that requires an agent to navigate according to a natural language instruction. Recent methods predict sub-goals on constructed topology ma…

cs.CV2024

EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding

Yuan-Ming Li, Wei-Jin Huang, An-Lan Wang +3

We present EgoExo-Fitness, a new full-body action understanding dataset, featuring fitness sequence videos recorded from synchronized egocentric and fixed exocentric (third-person)…

cs.CV2024

Rethinking Few-shot Class-incremental Learning: Learning from Yourself

Yu-Ming Tang, Yi-Xing Peng, Jingke Meng +1

Few-shot class-incremental learning (FSCIL) aims to learn sequential classes with limited samples in a few-shot fashion. Inherited from the classical class-incremental learning set…

cs.CV2023

Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval

Dixuan Lin, Yixing Peng, Jingke Meng +1

Text-to-image person re-identification (ReID) aims to retrieve images of a person based on a given textual description. The key challenge is to learn the relations between detailed…

cs.CV2023★ 19 cited

Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling

Yuan-Ming Li, Ling-An Zeng, Jing-Ke Meng +1

Action Quality Assessment (AQA) is a task that tries to answer how well an action is carried out. While remarkable progress has been achieved, existing works on AQA assume that all…