423 citations · 1.1k across the 44 of their papers we have counts for
39 papers · 1 filter
WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild
Rolandos Alexandros Potamias, Jinglei Zhang, Jiankang Deng +1
In recent years, 3D hand pose estimation methods have garnered significant attention due to their extensive applications in human-computer interaction, virtual reality, and robotic…
ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling
Francesca Babiloni, Alexandros Lattas, Jiankang Deng +1
We propose ID-to-3D, a method to generate identity- and text-guided 3D human heads with disentangled expressions, starting from even a single casually captured in-the-wild image of…
Improving face generation quality and prompt following with synthetic captions
Michail Tarasiou, Stylianos Moschoglou, Jiankang Deng +1
Recent advancements in text-to-image generation using diffusion models have significantly improved the quality of generated images and expanded the ability to depict a wide range o…
SAGS: Structure-Aware 3D Gaussian Splatting
Evangelos Ververas, Rolandos Alexandros Potamias, Jifei Song +2
Following the advent of NeRFs, 3D Gaussian Splatting (3D-GS) has paved the way to real-time neural rendering overcoming the computational burden of volumetric methods. Following th…
Arc2Face: A Foundation Model for ID-Consistent Human Faces
Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou +3
This paper presents Arc2Face, an identity-conditioned face foundation model, which, given the ArcFace embedding of a person, can generate diverse photo-realistic images with an unp…
Spatio-temporal Prompting Network for Robust Video Feature Extraction
Guanxiong Sun, Chi Wang, Zhaoyu Zhang +3
Frame quality deterioration is one of the main challenges in the field of video understanding. To compensate for the information loss caused by deteriorated frames, recent approach…
Neural Sign Actors: A diffusion model for 3D sign language production from text
Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas +3
Sign Languages (SL) serve as the primary mode of communication for the Deaf and Hard of Hearing communities. Deep learning methods for SL recognition and translation have achieved…
Rethinking the Domain Gap in Near-infrared Face Recognition
Michail Tarasiou, Jiankang Deng, Stefanos Zafeiriou
Heterogeneous face recognition (HFR) involves the intricate task of matching face images across the visual domains of visible (VIS) and near-infrared (NIR). While much of the exist…
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
Kaicheng Yang, Jiankang Deng, Xiang An +5
Contrastive Language-Image Pre-training (CLIP) has significantly boosted the performance of various vision-language tasks by scaling up the dataset with image-text pairs collected…
TransFace++: Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Security
Jun Dan, Yang Liu, Baigui Sun +2
Face Recognition (FR) technology has made significant strides with the emergence of deep learning. Typically, most existing FR models are built upon Convolutional Neural Networks (…
HeadSculpt: Crafting 3D Head Avatars with Text
Xiao Han, Yukang Cao, Kai Han +5
Recently, text-guided 3D generative methods have made remarkable advancements in producing high-quality textures and geometry, capitalizing on the proliferation of large vision-lan…
FitMe: Deep Photorealistic 3D Morphable Model Avatars
Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis +3
In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering optimization pipeline, that can be used to acquire high-fidelity renderable human avata…
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
Dong Wang, Jia Guo, Qiqi Shao +9
Face anti-spoofing (FAS) is an essential mechanism for safeguarding the integrity of automated face recognition systems. Despite substantial advancements, the generalization of exi…
Unicom: Universal and Compact Representation Learning for Image Retrieval
Xiang An, Jiankang Deng, Kaicheng Yang +5
Modern image retrieval methods typically rely on fine-tuning pre-trained encoders to extract image-level descriptors. However, the most widely used models are pre-trained on ImageN…
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
Evangelos Ververas, Polydefkis Gkagkos, Jiankang Deng +3
Developing gaze estimation models that generalize well to unseen domains and in-the-wild conditions remains a challenge with no known best solution. This is mostly due to the diffi…
Physically-Based Face Rendering for NIR-VIS Face Recognition
Yunqi Miao, Alexandros Lattas, Jiankang Deng +2
Near infrared (NIR) to Visible (VIS) face matching is challenging due to the significant domain gaps as well as a lack of sufficient data for cross-modality model training. To over…
Deep Face Restoration: A Survey
Tao Wang, Kaihao Zhang, Jiankang Deng +3
Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Quality (LQ) input images, which is a domain-specific image restoration problem in the low-level computer vis…
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis, Shan Luo, Anh Nguyen +2
The long-tailed distribution is a common phenomenon in the real world. Extracted large scale image datasets inevitably demonstrate the long-tailed property and models trained with…
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du, Miaojing Shi, Jiankang Deng +1
Perspective distortions and crowd variations make crowd counting a challenging task in computer vision. To tackle it, many previous works have used multi-scale architecture in deep…
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Konstantinos Panagiotis Alexandridis, Jiankang Deng, Anh Nguyen +1
Major advancements have been made in the field of object detection and segmentation recently. However, when it comes to rare categories, the state-of-the-art methods fail to detect…
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition
Zheng Zhu, Guan Huang, Jiankang Deng +8
Face benchmarks empower the research community to train and evaluate high-performance face recognition systems. In this paper, we contribute a new million-scale recognition benchma…
Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC
Xiang An, Jiankang Deng, Jia Guo +4
Learning discriminative deep feature embeddings by using million-scale in-the-wild datasets and margin-based softmax loss is the current state-of-the-art approach for face recognit…
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing
Qingping Zheng, Jiankang Deng, Zheng Zhu +2
This paper probes intrinsic factors behind typical failure cases (e.g. spatial inconsistency and boundary confusion) produced by the existing state-of-the-art method in face parsin…
Facial Geometric Detail Recovery via Implicit Representation
Xingyu Ren, Alexandros Lattas, Baris Gecer +4
Learning a dense 3D model with fine-scale details from a single facial image is highly challenging and ill-posed. To address this problem, many approaches fit smooth geometries thr…