7 papers
Mono3DVG-EnSD: Enhanced Spatial-aware and Dimension-decoupled Text Encoding for Monocular 3D Visual Grounding
Yuzhen Li, Min Liu, Zhaoyang Li +4
Monocular 3D Visual Grounding (Mono3DVG) is an emerging task that locates 3D objects in RGB images using text descriptions with geometric cues. However, existing methods face two k…
A Dual-stage Prompt-driven Privacy-preserving Paradigm for Person Re-Identification
Ruolin Li, Min Liu, Yuan Bian +4
With growing concerns over data privacy, researchers have started using virtual data as an alternative to sensitive real-world images for training person re-identification (Re-ID)…
ORIC: Benchmarking Object Recognition under Contextual Incongruity in Large Vision-Language Models
Zhaoyang Li, Zhan Ling, Yuchen Zhou +3
Large Vision-Language Models (LVLMs) excel at captioning, visual question answering, and robotics by combining vision and language, yet they often miss obvious objects or hallucina…
Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding
Yuzhen Li, Min Liu, Yuan Bian +4
Monocular 3D visual grounding is a novel task that aims to locate 3D objects in RGB images using text descriptions with explicit geometry information. Despite the inclusion of geom…
SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation
Youliang Zhang, Zhaoyang Li, Duomin Wang +6
The rapid development of large-scale models has catalyzed significant breakthroughs in the digital human domain. These advanced methodologies offer high-fidelity solutions for avat…
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing
Yanjun Li, Zhaoyang Li, Honghui Chen +1
Video Scene Graph Generation (VidSGG) aims to capture dynamic relationships among entities by sequentially analyzing video frames and integrating visual and semantic information. H…