Search Results for author: Xiang Xu

Found 17 papers, 6 papers with code

D3D-HOI: Dynamic 3D Human-Object Interactions from Videos

1 code implementation19 Aug 2021 Xiang Xu, Hanbyul Joo, Greg Mori, Manolis Savva

We evaluate this approach on our dataset, demonstrating that human-object relations can significantly reduce the ambiguity of articulated object reconstructions from challenging real-world videos.

Human-Object Interaction Detection

Structured Outdoor Architecture Reconstruction by Exploration and Classification

1 code implementation ICCV 2021 Fuyang Zhang, Xiang Xu, Nelson Nauata, Yasutaka Furukawa

This paper presents an explore-and-classify framework for structured architectural reconstruction from an aerial image.

Learning Self-Consistency for Deepfake Detection

no code implementations ICCV 2021 Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia

We propose a new method to detect deepfake images using the cue of the source feature inconsistency within the forged images.

DeepFake Detection Face Swapping +2

On Improving Temporal Consistency for Online Face Liveness Detection

no code implementations11 Jun 2020 Xiang Xu, Yuanjun Xiong, Wei Xia

In this paper, we focus on improving the online face liveness detection system to enhance the security of the downstream face recognition system.

Face Recognition Frame

On Improving the Generalization of Face Recognition in the Presence of Occlusions

no code implementations11 Jun 2020 Xiang Xu, Nikolaos Sarafianos, Ioannis A. Kakadiaris

In this paper, we address a key limitation of existing 2D face recognition methods: robustness to occlusions.

Face Recognition

Adversarial Representation Learning for Text-to-Image Matching

no code implementations ICCV 2019 Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris

For many computer vision applications such as image captioning, visual question answering, and person search, learning discriminative feature representations at both image and text level is an essential yet challenging problem.

Image Captioning Language Modelling +4

$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding

2 code implementations29 May 2019 Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder

Deep neural networks often require copious amount of labeled-data to train their scads of parameters.

Domain Adaptation

Open Source Face Recognition Performance Evaluation Package

no code implementations27 Jan 2019 Xiang Xu, Ioannis A. Kakadiaris

Biometrics-related research has been accelerated significantly by deep learning technology.

Face Recognition

Robust and High Performance Face Detector

no code implementations6 Jan 2019 Yundong Zhang, Xiang Xu, Xiaotao Liu

In recent years, face detection has experienced significant performance improvement with the boost of deep convolutional neural networks.

Data Augmentation Face Detection

Error Correction Maximization for Deep Image Hashing

no code implementations6 Aug 2018 Xiang Xu, Xiaofang Wang, Kris M. Kitani

We propose to use the concept of the Hamming bound to derive the optimal criteria for learning hash codes with a deep network.

Deep Imbalanced Attribute Classification using Visual Attention Aggregation

2 code implementations ECCV 2018 Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris

For many computer vision applications, such as image description and human identification, recognizing the visual attributes of humans is an essential yet challenging problem.

General Classification

A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification

no code implementations3 Jul 2018 Jie Liu, Cheng Sun, Xiang Xu, Baomin Xu, Shuangyuan Yu

In this paper we propose a novel Spatial and Temporal Features Mixture Model (STFMM) based on convolutional neural network (CNN) and recurrent neural network (RNN), in which the human body is split into $N$ parts in horizontal direction so that we can obtain more specific features.

Video-Based Person Re-Identification

Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment

no code implementations17 Mar 2018 Yuhang Wu, Le Anh Vu Ha, Xiang Xu, Ioannis A. Kakadiaris

The method relies on Convolutional Point-set Representation (CPR), a carefully designed matrix representation to summarize different layers of information encoded in the set of detected points in the annotated image.

3D Face Alignment Face Alignment

Face Detection Using Improved Faster RCNN

no code implementations6 Feb 2018 Changzheng Zhang, Xiang Xu, Dandan Tu

Faster RCNN has achieved great success for generic object detection including PASCAL object detection and MS COCO object detection.

Face Detection Object Detection

When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition

no code implementations19 Sep 2017 Xiang Xu, Pengfei Dou, Ha A. Le, Ioannis A. Kakadiaris

Extensive experiments are conducted on the UHDB31 and IJB-A, demonstrating that UR2D outperforms existing 2D face recognition systems such as VGG-Face, FaceNet, and a commercial off-the-shelf software (COTS) by at least 9% on the UHDB31 dataset and 3% on the IJB-A dataset on average in face identification tasks.

Face Identification Face Recognition +2

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