4 citations · 6 across the 24 of their papers we have counts for
16 papers · 1 filter
Drag as Evidence: Motion-Grounded Latent Recomposition for Drag-Based Editing
Xinyu Pu, Hongsong Wang, Jie Gui +1
Modern image editors excel at semantic manipulation and visual synthesis, yet remain limited in precise spatial control, motivating the development of drag-based editing. However,…
GenPrior: Unleashing Text-to-Motion Generative Priors for Zero-Shot Skeleton-based Action Recognition
Jidong Kuang, Hongsong Wang, Jie Gui
Zero-shot skeleton-based action recognition (ZSAR) aims to recognize unseen action categories by aligning skeleton features with textual semantics. However, existing methods rely o…
RAID: Towards Robust AI-Generated Image Detection with Bit-Reversed Images
Renxi Cheng, Jie Gui, Hongsong Wang
The rapid advancement of image generation models has made it increasingly difficult for people to distinguish AI-generated images from real ones. To prevent the potential risks ass…
Retrieval-Driven Training-Free AI-Generated Video Attribution
Renxi Cheng, Chaolei Han, Jie Gui +1
AI-generated videos are becoming increasingly realistic and difficult to distinguish from authentic ones, which facilitates malicious misuse and poses growing threats to cybersecur…
PrismAD: Decoupled Planning via Semantic Mixture-of-Planners for End-to-End Autonomous Driving
Kang Ding, Zhigui Lin, Hongsong Wang +5
This letter presents PrismAD, a decoupled end-to-end autonomous driving framework based on a Semantic Mixture-of-Planners. Existing planners usually aggregate heterogeneous scene t…
Revealing Artifacts via Noise Amplification: A Novel Perspective for AI-Generated Video Detection
Renxi Cheng, Jie Gui, Hongsong Wang
With the rapid advancement of video generation models, distinguishing between AI-generated and authentic videos has emerged as a challenging endeavor. The majority of existing rese…
Property-Informed Diffusion-Based Text-to-Microstructure Generation
Bingxuan Dai, Hongsong Wang, Jie Gui
Designing 3D metamaterial microstructures that meet the intended functions remains a major challenge, as it typically requires domain expertise, iterative simulations, and extensiv…
MusicDET: Zero-Shot AI-Generated Music Detection
Chaolei Han, Hongsong Wang, Jie Gui
Detecting AI-generated music is crucial for preserving artistic authenticity and preventing the misuse of generative music technologies. However, existing discriminative detectors…
OZ-TAL: Online Zero-Shot Temporal Action Localization
Chaolei Han, Hongsong Wang, Xin Gong +1
Online Temporal Action Localization (On-TAL) aims to detect the occurrence time and category of actions in untrimmed streaming videos immediately upon their completion. Recent adva…
Marrying Text-to-Motion Generation with Skeleton-Based Action Recognition
Jidong Kuang, Hongsong Wang, Jie Gui
Human action recognition and motion generation are two active research problems in human-centric computer vision, both aiming to align motion with textual semantics. However, most…
Structure-Aware Fine-Grained Gaussian Splatting for Expressive Avatar Reconstruction
Yuze Su, Hongsong Wang, Jie Gui +1
Reconstructing photorealistic and topology-aware human avatars from monocular videos remains a significant challenge in the fields of computer vision and graphics. While existing 3…
Coordinate-Based Dual-Constrained Autoregressive Motion Generation
Kang Ding, Hongsong Wang, Jie Gui +1
Text-to-motion generation has attracted increasing attention in the research community recently, with potential applications in animation, virtual reality, robotics, and human-comp…
Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning
Kang Ding, Hongsong Wang, Jie Gui +1
End-to-end autonomous driving resides not in the integration of perception and planning, but rather in the dynamic multi-agent game within a unified representation space. Most exis…
Toward Universal Skeleton-Based Action Recognition across Heterogeneous Skeletons and Open Vocabularies
Jidong Kuang, Hongsong Wang, Jie Gui +2
Skeleton data used for action recognition are acquired from a wide range of sources, including depth sensors, marker-based motion capture systems, and 2D/3D pose estimators. These…
Attribution as Retrieval: Model-Agnostic AI-Generated Image Attribution
Hongsong Wang, Renxi Cheng, Chaolei Han +1
With the rapid advancement of AIGC technologies, image forensics will encounter unprecedented challenges. Traditional methods are incapable of dealing with increasingly realistic i…
Point-Supervised Skeleton-Based Human Action Segmentation
Hongsong Wang, Yiqin Shen, Pengbo Yan +2
Skeleton-based temporal action segmentation is a fundamental yet challenging task, playing a crucial role in enabling intelligent systems to perceive and respond to human activitie…