b'Jiankang Deng'

research

∙ 08/31/2023

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Stable diffusion, a generative model used in text-to-image synthesis, fr...

0 Qingping Zheng, et al. ∙

research

∙ 08/16/2023

ALIP: Adaptive Language-Image Pre-training with Synthetic Caption

Contrastive Language-Image Pre-training (CLIP) has significantly boosted...

0 Kaicheng Yang, et al. ∙

research

∙ 08/14/2023

DiffSED: Sound Event Detection with Denoising Diffusion

Sound Event Detection (SED) aims to predict the temporal boundaries of a...

0 Swapnil Bhosale, et al. ∙

research

∙ 06/05/2023

HeadSculpt: Crafting 3D Head Avatars with Text

Recently, text-guided 3D generative methods have made remarkable advance...

0 Xiao Han, et al. ∙

research

∙ 06/05/2023

Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds

Learning from crowds describes that the annotations of training data are...

0 Shikun Li, et al. ∙

research

∙ 04/12/2023

Unicom: Universal and Compact Representation Learning for Image Retrieval

Modern image retrieval methods typically rely on fine-tuning pre-trained...

0 Xiang An, et al. ∙

research

∙ 04/12/2023

Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results

Face anti-spoofing (FAS) is an essential mechanism for safeguarding the ...

16 Dong Wang, et al. ∙

research

∙ 03/31/2023

Robotic Perception of Transparent Objects: A Review

Transparent object perception is a rapidly developing research problem i...

0 Jiaqi Jiang, et al. ∙

research

∙ 03/27/2023

DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion

We propose a new formulation of temporal action detection (TAD) with den...

0 Sauradip Nag, et al. ∙

research

∙ 12/06/2022

Weakly-Supervised Gaze Estimation from Synthetic Views

3D gaze estimation is most often tackled as learning a direct mapping be...

0 Evangelos Ververas, et al. ∙

research

∙ 12/05/2022

Domain-general Crowd Counting in Unseen Scenarios

Domain shift across crowd data severely hinders crowd counting models to...

0 Zhipeng Du, et al. ∙

research

∙ 11/22/2022

Confidence-guided Centroids for Unsupervised Person Re-Identification

Unsupervised person re-identification (ReID) aims to train a feature ext...

0 Yunqi Miao, et al. ∙

research

∙ 11/05/2022

A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal

Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Q...

0 PetsTime, et al. ∙

research

∙ 09/11/2022

Inverse Image Frequency for Long-tailed Image Recognition

The long-tailed distribution is a common phenomenon in the real world. E...

0 Konstantinos Panagiotis Alexandridis, et al. ∙

research

∙ 08/04/2022

Redesigning Multi-Scale Neural Network for Crowd Counting

Perspective distortions and crowd variations make crowd counting a chall...

9 Zhipeng Du, et al. ∙

research

∙ 07/22/2022

Long-tailed Instance Segmentation using Gumbel Optimized Loss

Major advancements have been made in the field of object detection and s...

0 Konstantinos Panagiotis Alexandridis, et al. ∙

research

∙ 05/23/2022

FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders

Face recognition, as one of the most successful applications in artifici...

16 Kai Wang, et al. ∙

research

∙ 05/05/2022

Gait Recognition in the Wild: A Benchmark

Gait benchmarks empower the research community to train and evaluate hig...

0 Zheng Zhu, et al. ∙

research

∙ 04/21/2022

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Face benchmarks empower the research community to train and evaluate hig...

0 Zheng Zhu, et al. ∙

research

∙ 03/28/2022

Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC

Learning discriminative deep feature embeddings by using million-scale i...

0 Xiang An, et al. ∙

research

∙ 03/28/2022

Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing

This paper probes intrinsic factors behind typical failure cases (e.g. s...

7 Qingping Zheng, et al. ∙

research

∙ 10/11/2021

EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset

Recent deep face hallucination methods show stunning performance in supe...

0 Kaihao Zhang, et al. ∙

research

∙ 08/18/2021

Masked Face Recognition Challenge: The InsightFace Track Report

During the COVID-19 coronavirus epidemic, almost everyone wears a facial...

0 Jiankang Deng, et al. ∙

research

∙ 08/16/2021

Masked Face Recognition Challenge: The WebFace260M Track Report

According to WHO statistics, there are more than 204,617,027 confirmed C...

0 Zheng Zhu, et al. ∙

research

∙ 07/06/2021

Poly-NL: Linear Complexity Non-local Layers with Polynomials

Spatial self-attention layers, in the form of Non-Local blocks, introduc...

8 Francesca Babiloni, et al. ∙

research

∙ 05/10/2021

Sample and Computation Redistribution for Efficient Face Detection

Although tremendous strides have been made in uncontrolled face detectio...

10 Jia Guo, et al. ∙

research

∙ 04/16/2021

Polynomial Networks in Deep Classifiers

Deep neural networks have been the driving force behind the success in c...

0 Grigorios G. Chrysos, et al. ∙

research

∙ 03/06/2021

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

In this paper, we contribute a new million-scale face benchmark containi...

0 Zheng Zhu, et al. ∙

research

∙ 12/30/2020

OSTeC: One-Shot Texture Completion

The last few years have witnessed the great success of non-linear genera...

6 Baris Gecer, et al. ∙

research

∙ 12/02/2020

Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels

The label noise transition matrix T, reflecting the probabilities that t...

0 Xiaobo Xia, et al. ∙

research

∙ 06/20/2020

Deep Polynomial Neural Networks

Deep Convolutional Neural Networks (DCNNs) are currently the method of c...

66 Grigorios Chrysos, et al. ∙

research

∙ 06/14/2020

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning

The transition matrix, denoting the transition relationship from clean l...

0 Yu Yao, et al. ∙

research

∙ 03/08/2020

Π-nets: Deep Polynomial Neural Networks

Deep Convolutional Neural Networks (DCNNs) is currently the method of ch...

27 Grigorios G. Chrysos, et al. ∙

research

∙ 09/05/2019

Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks

Generating realistic 3D faces is of high importance for computer graphic...

5 Baris Gecer, et al. ∙

research

∙ 05/02/2019

RetinaFace: Single-stage Dense Face Localisation in the Wild

Though tremendous strides have been made in uncontrolled face detection,...

0 Jiankang Deng, et al. ∙

research

∙ 04/06/2019

Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders

3D Morphable Models (3DMMs) are statistical models that represent facial...

0 Yuxiang Zhou, et al. ∙

research

∙ 12/05/2018

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

Facial landmark localisation in images captured in-the-wild is an import...

4 Jia Guo, et al. ∙

research

∙ 01/23/2018

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Convolutional neural networks have significantly boosted the performance...

0 Jiankang Deng, et al. ∙

research

∙ 01/20/2018

Side Information for Face Completion: a Robust PCA Approach

Robust principal component analysis (RPCA) is a powerful method for lear...

0 Niannan Xue, et al. ∙

research

∙ 12/13/2017

UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition

Recently proposed robust 3D face alignment methods establish either dens...

0 Jiankang Deng, et al. ∙

research

∙ 09/14/2017

Informed Non-convex Robust Principal Component Analysis with Features

We revisit the problem of robust principal component analysis with featu...

0 Niannan Xue, et al. ∙

Jiankang Deng

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