406 citations · 1.6k across the 71 of their papers we have counts for
66 papers · 1 filter
Private Face Recognition Training Dataset Publication via Identity-Decoupled and Geometry-Preserving Face Distillation
Shuhuan Chen, Xiangyu Zhu, Weisong Zhao +6
Publishing private face recognition~(FR) training datasets is privacy-sensitive because faces expose identity information. Private FR training dataset publication mitigates this ri…
Knowing You at First Glance: Inferring Apparent Personality from Faces
Shuhuan Chen, Xiangyu Zhu, Weisong Zhao +3
Inferring apparent personality from facial images is important in social scenarios for embodied agents in human-robot interaction. Unlike inferring intrinsic personality traits via…
The Devil Is in the Leakage: A Disentangled Dual-Purification Framework for High-Fidelity Hairstyle Transfer
Jijie Li, Jiankuo Zhao, Xiangyu Zhu +1
Hairstyle transfer aims to synthesize a photorealistic portrait by transplanting the hairstyle from a reference image onto a source subject while preserving the source identity. Re…
CPG-PAD: Concept-Informed Prompts Guided Presentation Attack Detection
Haoyuan Zhang, Xiangyu Zhu, Li Gao +3
Presentation Attack Detection (PAD) serves as a crucial safeguard for face recognition systems against presentation attacks such as printed photos, replayed videos, and 3D masks. D…
Adaptive 3D Convolution for Remote Sensing Image Fusion
Siran Peng, Xiangyu Zhu, Shang-Qi Deng +2
Remote sensing image fusion aims to create a high-resolution multi/hyper-spectral image from a high-resolution image with limited spectral information and a low-resolution image wi…
Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection
Tianshuo Zhang, Haoyuan Zhang, Siran Peng +3
Continual face forgery detection (CFFD) requires detectors to learn emerging forgery paradigms without forgetting previously seen manipulations. Existing CFFD methods commonly rely…
From Intuition to Investigation: A Tool-Augmented Reasoning MLLM Framework for Generalizable Face Anti-Spoofing
Haoyuan Zhang, Keyao Wang, Guosheng Zhang +11
Face recognition remains vulnerable to presentation attacks, calling for robust Face Anti-Spoofing (FAS) solutions. Recent MLLM-based FAS methods reformulate the binary classificat…
EEA: Exploration-Exploitation Agent for Long Video Understanding
Te Yang, Xiangyu Zhu, Bo Wang +3
Long-form video understanding requires efficient navigation of extensive visual data to pinpoint sparse yet critical information. Current approaches to longform video understanding…
STAvatar: Soft Binding and Temporal Density Control for Monocular 3D Head Avatars Reconstruction
Jiankuo Zhao, Xiangyu Zhu, Zidu Wang +1
Reconstructing high-fidelity and animatable 3D head avatars from monocular videos remains a challenging yet essential task. Existing methods based on 3D Gaussian Splatting typicall…
BFSM: 3D Bidirectional Face-Skull Morphable Model
Zidu Wang, Meng Xu, Miao Xu +5
Building a joint face-skull morphable model holds great potential for applications such as remote diagnostics, surgical planning, medical education, and physically based facial sim…
Towards Realistic Hand-Object Interaction with Gravity-Field Based Diffusion Bridge
Miao Xu, Xiangyu Zhu, Xusheng Liang +3
Existing reconstruction or hand-object pose estimation methods are capable of producing coarse interaction states. However, due to the complex and diverse geometry of both human ha…
DevFD: Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
Tianshuo Zhang, Li Gao, Siran Peng +2
The rise of realistic digital face generation and manipulation poses significant social risks. The primary challenge lies in the rapid and diverse evolution of generation technique…
Unifying Locality of KANs and Feature Drift Compensation Projection for Data-free Replay based Continual Face Forgery Detection
Tianshuo Zhang, Siran Peng, Li Gao +3
The rapid advancements in face forgery techniques necessitate that detectors continuously adapt to new forgery methods, thus situating face forgery detection within a continual lea…
DiffusionFF: A Diffusion-based Framework for Joint Face Forgery Detection and Fine-Grained Artifact Localization
Siran Peng, Haoyuan Zhang, Li Gao +5
The rapid evolution of deepfake technologies demands robust and reliable face forgery detection algorithms. While determining whether an image has been manipulated remains essentia…
MLLM-Enhanced Face Forgery Detection: A Vision-Language Fusion Solution
Siran Peng, Zipei Wang, Li Gao +5
Reliable face forgery detection algorithms are crucial for countering the growing threat of deepfake-driven disinformation. Previous research has demonstrated the potential of Mult…
SRM-Hair: Single Image Head Mesh Reconstruction via 3D Morphable Hair
Zidu Wang, Jiankuo Zhao, Miao Xu +2
3D Morphable Models (3DMMs) have played a pivotal role as a fundamental representation or initialization for 3D avatar animation and reconstruction. However, extending 3DMMs to hai…
PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generation
Baiqin Wang, Xiangyu Zhu, Fan Shen +2
Recent advancements in audio-driven talking face generation have made great progress in lip synchronization. However, current methods often lack sufficient control over facial anim…
WMamba: Wavelet-based Mamba for Face Forgery Detection
Siran Peng, Tianshuo Zhang, Li Gao +4
The rapid evolution of deepfake generation technologies necessitates the development of robust face forgery detection algorithms. Recent studies have demonstrated that wavelet anal…
MVBoost: Boost 3D Reconstruction with Multi-View Refinement
Xiangyu Liu, Xiaomei Zhang, Zhiyuan Ma +2
Recent advancements in 3D object reconstruction have been remarkable, yet most current 3D models rely heavily on existing 3D datasets. The scarcity of diverse 3D datasets results i…
Spoof Trace Discovery for Deep Learning Based Explainable Face Anti-Spoofing
Haoyuan Zhang, Xiangyu Zhu, Li Gao +4
With the rapid growth usage of face recognition in people's daily life, face anti-spoofing becomes increasingly important to avoid malicious attacks. Recent face anti-spoofing mode…
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +56
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including…
Revisiting Marr in Face: The Building of 2D--2.5D--3D Representations in Deep Neural Networks
Xiangyu Zhu, Chang Yu, Jiankuo Zhao +3
David Marr's seminal theory of vision proposes that the human visual system operates through a sequence of three stages, known as the 2D sketch, the 2.5D sketch, and the 3D model.…
Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy
Te Yang, Jian Jia, Xiangyu Zhu +9
Large Language Models (LLMs) have strong instruction-following capability to interpret and execute tasks as directed by human commands. Multimodal Large Language Models (MLLMs) hav…
S2TD-Face: Reconstruct a Detailed 3D Face with Controllable Texture from a Single Sketch
Zidu Wang, Xiangyu Zhu, Jiang Yu +2
3D textured face reconstruction from sketches applicable in many scenarios such as animation, 3D avatars, artistic design, missing people search, etc., is a highly promising but un…