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Spoofing-aware Prompt Learning for Unified Physical-Digital Facial Attack Detection
Jiabao Guo, Yadian Wang, Hui Ma +7
Real-world face recognition systems are vulnerable to both physical presentation attacks (PAs) and digital forgery attacks (DFs). We aim to achieve comprehensive protection of biom…
Open-World 3D Scene Graph Generation for Retrieval-Augmented Reasoning
Fei Yu, Quan Deng, Shengeng Tang +2
Understanding 3D scenes in open-world settings poses fundamental challenges for vision and robotics, particularly due to the limitations of closed-vocabulary supervision and static…
SLRTP2025 Sign Language Production Challenge: Methodology, Results, and Future Work
Harry Walsh, Ed Fish, Ozge Mercanoglu Sincan +19
Sign Language Production (SLP) is the task of generating sign language video from spoken language inputs. The field has seen a range of innovations over the last few years, with th…
Motion is the Choreographer: Learning Latent Pose Dynamics for Seamless Sign Language Generation
Jiayi He, Xu Wang, Shengeng Tang +3
Sign language video generation requires producing natural signing motions with realistic appearances under precise semantic control, yet faces two critical challenges: excessive si…
Text2Lip: Progressive Lip-Synced Talking Face Generation from Text via Viseme-Guided Rendering
Xu Wang, Shengeng Tang, Fei Wang +4
Generating semantically coherent and visually accurate talking faces requires bridging the gap between linguistic meaning and facial articulation. Although audio-driven methods rem…
SplitGaussian: Reconstructing Dynamic Scenes via Visual Geometry Decomposition
Lechao Cheng, Jiahui Li, Jingxuan He +5
Reconstructing dynamic 3D scenes from monocular video remains fundamentally challenging due to the need to jointly infer motion, structure, and appearance from limited observations…
StgcDiff: Spatial-Temporal Graph Condition Diffusion for Sign Language Transition Generation
Jiashu He, Jiayi He, Shengeng Tang +3
Sign language transition generation seeks to convert discrete sign language segments into continuous sign videos by synthesizing smooth transitions. However,most existing methods m…
Towards Fine-Grained Emotion Understanding via Skeleton-Based Micro-Gesture Recognition
Hao Xu, Lechao Cheng, Yaxiong Wang +2
We present our solution to the MiGA Challenge at IJCAI 2025, which aims to recognize micro-gestures (MGs) from skeleton sequences for the purpose of hidden emotion understanding. M…
SignAligner: Harmonizing Complementary Pose Modalities for Coherent Sign Language Generation
Xu Wang, Shengeng Tang, Lechao Cheng +3
Sign language generation aims to produce diverse sign representations based on spoken language. However, achieving realistic and naturalistic generation remains a significant chall…
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
Yufei Yin, Lechao Cheng, Wengang Zhou +3
In recent years, weakly supervised object detection (WSOD) has attracted much attention due to its low labeling cost. The success of recent WSOD models is often ascribed to the two…
Text-Driven Diffusion Model for Sign Language Production
Jiayi He, Xu Wang, Ruobei Zhang +3
We introduce the hfut-lmc team's solution to the SLRTP Sign Production Challenge. The challenge aims to generate semantically aligned sign language pose sequences from text inputs.…
Efficient Vision Language Model Fine-tuning for Text-based Person Anomaly Search
Jiayi He, Shengeng Tang, Ao Liu +3
This paper presents the HFUT-LMC team's solution to the WWW 2025 challenge on Text-based Person Anomaly Search (TPAS). The primary objective of this challenge is to accurately iden…