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20232026
most citedParameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

96 citations · 104 across the 9 of their papers we have counts for

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cs.CV2026

Surface Keypoint Representation for Multi-Object and Articulated Human-Object Interaction Generation

Xiaogang Peng, Zeyu Han, Zichong Meng +4

Daily activities require humans to coordinate whole-body motion with the motion of surrounding objects. Despite recent progress in human-object interaction (HOI) generation, most e…

cs.CV2025

Absolute Coordinates Make Motion Generation Easy

Zichong Meng, Zeyu Han, Xiaogang Peng +2

State-of-the-art text-to-motion generation models rely on the kinematic-aware, local-relative motion representation popularized by HumanML3D, which encodes motion relative to the p…

cs.CV2024

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Zichong Meng, Yiming Xie, Xiaogang Peng +2

Since 2023, Vector Quantization (VQ)-based discrete generation methods have rapidly dominated human motion generation, primarily surpassing diffusion-based continuous generation me…

cs.CV2024★ 1 cited

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren, Yawei Li, Nancy Mehta +129

This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…

cs.CV2023

Zero-shot Referring Expression Comprehension via Structural Similarity Between Images and Captions

Zeyu Han, Fangrui Zhu, Qianru Lao +1

Zero-shot referring expression comprehension aims at localizing bounding boxes in an image corresponding to provided textual prompts, which requires: (i) a fine-grained disentangle…