b'Xiaoming Liu'

research

∙ 08/21/2023

Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification

Long-Term Person Re-Identification (LT-ReID) has become increasingly cru...

0 Feng Liu, et al. ∙

research

∙ 08/14/2023

Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning

Prompt-based pre-trained language models (PLMs) paradigm have succeeded ...

0 Chengzhengxu Li, et al. ∙

research

∙ 06/29/2023

FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude

Whole-body biometric recognition is an important area of research due to...

0 Feng Liu, et al. ∙

research

∙ 04/14/2023

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

Generating synthetic datasets for training face recognition models is ch...

0 Minchul Kim, et al. ∙

research

∙ 03/30/2023

PMatch: Paired Masked Image Modeling for Dense Geometric Matching

Dense geometric matching determines the dense pixel-wise correspondence ...

0 Shengjie Zhu, et al. ∙

research

∙ 03/30/2023

Hierarchical Fine-Grained Image Forgery Detection and Localization

Differences in forgery attributes of images generated in CNN-synthesized...

0 Xiao Guo, et al. ∙

research

∙ 03/29/2023

MaLP: Manipulation Localization Using a Proactive Scheme

Advancements in the generation quality of various Generative Models (GMs...

0 Vishal Asnani, et al. ∙

research

∙ 03/23/2023

Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment

This work studies the generalization issue of face anti-spoofing (FAS) m...

0 Yiyou Sun, et al. ∙

research

∙ 03/13/2023

Can Adversarial Examples Be Parsed to Reveal Victim Model Information?

Numerous adversarial attack methods have been developed to generate impe...

8 Yuguang Yao, et al. ∙

research

∙ 12/29/2022

Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects

The objective of this paper is to learn dense 3D shape correspondence fo...

0 Feng Liu, et al. ∙

research

∙ 12/20/2022

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning

Machine-Generated Text (MGT) detection, a task that discriminates MGT fr...

0 Xiaoming Liu, et al. ∙

research

∙ 10/19/2022

Cluster and Aggregate: Face Recognition with Large Probe Set

Feature fusion plays a crucial role in unconstrained face recognition wh...

0 Minchul Kim, et al. ∙

research

∙ 08/23/2022

Multi-domain Learning for Updating Face Anti-spoofing Models

In this work, we study multi-domain learning for face anti-spoofing(MD-F...

7 Xiao Guo, et al. ∙

research

∙ 07/21/2022

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

Modern neural networks use building blocks such as convolutions that are...

5 Abhinav Kumar, et al. ∙

research

∙ 07/20/2022

2D GANs Meet Unsupervised Single-view 3D Reconstruction

Recent research has shown that controllable image generation based on pr...

0 Feng Liu, et al. ∙

research

∙ 07/20/2022

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

Although significant advances have been made in face recognition (FR), F...

10 Feng Liu, et al. ∙

research

∙ 04/03/2022

AdaFace: Quality Adaptive Margin for Face Recognition

Recognition in low quality face datasets is challenging because facial a...

14 Minchul Kim, et al. ∙

research

∙ 03/30/2022

Face Relighting with Geometrically Consistent Shadows

Most face relighting methods are able to handle diffuse shadows, but str...

0 Andrew Hou, et al. ∙

research

∙ 03/29/2022

Proactive Image Manipulation Detection

Image manipulation detection algorithms are often trained to discriminat...

1 Vishal Asnani, et al. ∙

research

∙ 03/26/2022

Reverse Engineering of Imperceptible Adversarial Image Perturbations

It has been well recognized that neural network based image classifiers ...

4 Yifan Gong, et al. ∙

research

∙ 01/09/2022

The State of Aerial Surveillance: A Survey

The rapid emergence of airborne platforms and imaging sensors are enabli...

13 Kien Nguyen, et al. ∙

research

∙ 11/04/2021

Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image

Inferring 3D locations and shapes of multiple objects from a single 2D i...

21 Feng Liu, et al. ∙

research

∙ 11/01/2021

MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation

Recent advances in generative adversarial networks (GANs) have led to re...

1 Safa C. Medin, et al. ∙

research

∙ 08/24/2021

Full-Velocity Radar Returns by Radar-Camera Fusion

A distinctive feature of Doppler radar is the measurement of velocity in...

3 Yunfei Long, et al. ∙

research

∙ 06/15/2021

Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images

State-of-the-art (SOTA) Generative Models (GMs) can synthesize photo-rea...

7 Vishal Asnani, et al. ∙

research

∙ 06/05/2021

Radar-Camera Pixel Depth Association for Depth Completion

While radar and video data can be readily fused at the detection level, ...

0 Yunfei Long, et al. ∙

research

∙ 04/08/2021

Riggable 3D Face Reconstruction via In-Network Optimization

This paper presents a method for riggable 3D face reconstruction from mo...

6 Ziqian Bai, et al. ∙

research

∙ 04/06/2021

Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries

Depth completion starts from a sparse set of known depth values and esti...

1 Saif Imran, et al. ∙

research

∙ 04/05/2021

Unified Detection of Digital and Physical Face Attacks

State-of-the-art defense mechanisms against face attacks achieve near pe...

5 Debayan Deb, et al. ∙

research

∙ 04/02/2021

Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction

Inferring 3D structure of a generic object from a 2D image is a long-sta...

0 Feng Liu, et al. ∙

research

∙ 04/02/2021

Towards High Fidelity Face Relighting with Realistic Shadows

Existing face relighting methods often struggle with two problems: maint...

0 Andrew Hou, et al. ∙

research

∙ 03/31/2021

GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection

Modern 3D object detectors have immensely benefited from the end-to-end ...

13 Abhinav Kumar, et al. ∙

research

∙ 03/19/2021

PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization

To defend against manipulation of image content, such as splicing, copy-...

0 Xiaohong Liu, et al. ∙

research

∙ 12/30/2020

Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder

Facing the sparsity of user attributes on social networks, attribute inf...

0 Yadong Zhou, et al. ∙

research

∙ 12/09/2020

Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing

Prior studies show that the key to face anti-spoofing lies in the subtle...

0 Yaojie Liu, et al. ∙

research

∙ 12/03/2020

A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning

Knowledge graph (KG), as the side information, is widely utilized to lea...

0 Xiaoming Liu, et al. ∙

research

∙ 11/28/2020

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

Prevailing defense mechanisms against adversarial face images tend to ov...

41 Debayan Deb, et al. ∙

research

∙ 10/23/2020

Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence

The goal of this paper is to learn dense 3D shape correspondence for top...

0 Feng Liu, et al. ∙

research

∙ 10/19/2020

DeepApple: Deep Learning-based Apple Detection using a Suppression Mask R-CNN

Robotic apple harvesting has received much research attention in the pas...

0 Pengyu Chu, et al. ∙

research

∙ 09/09/2020

Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra

It is challenging to detect small-floating object in the sea clutter for...

9 Yi Zhou, et al. ∙

research

∙ 07/19/2020

Kinematic 3D Object Detection in Monocular Video

Perceiving the physical world in 3D is fundamental for self-driving appl...

2 Garrick Brazil, et al. ∙

research

∙ 07/17/2020

On Disentangling Spoof Trace for Generic Face Anti-Spoofing

Prior studies show that the key to face anti-spoofing lies in the subtle...

5 Yaojie Liu, et al. ∙

research

∙ 06/13/2020

Mitigating Face Recognition Bias via Group Adaptive Classifier

Face recognition is known to exhibit bias - subjects in certain demograp...

14 Sixue Gong, et al. ∙

research

∙ 04/06/2020

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

Modern face alignment methods have become quite accurate at predicting t...

9 Abhinav Kumar, et al. ∙

research

∙ 04/01/2020

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

As an emerging topic in face recognition, designing margin-based loss fu...

4 Yuge Huang, et al. ∙

research

∙ 04/01/2020

The Edge of Depth: Explicit Constraints between Segmentation and Depth

In this work we study the mutual benefits of two common computer vision ...

7 Shengjie Zhu, et al. ∙

research

∙ 03/29/2020

Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing

Using printed photograph and replaying videos of biometric modalities, s...

4 Joel Stehouwer, et al. ∙

research

∙ 03/13/2020

Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach

Semi-supervised graph embedding methods represented by graph convolution...

40 Qirui Li, et al. ∙

research

∙ 02/10/2020

Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples

Large facial variations are the main challenge in face recognition. To t...

2 Yuge Huang, et al. ∙

research

∙ 11/26/2019

FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization

This paper studies face recognition (FR) and normalization in surveillan...

8 Xi Yin, et al. ∙

Xiaoming Liu

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