Search Results for author: Xiang Xu

Found 27 papers, 12 papers with code

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding

1 code implementation25 Mar 2024 Lingdong Kong, Xiang Xu, Jun Cen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

Safety-critical 3D scene understanding tasks necessitate not only accurate but also confident predictions from 3D perception models.

Data Augmentation Scene Understanding

Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes

no code implementations15 Feb 2024 Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia

Using these simulated labels, we implement a multi-population cognitive evolutionary search, where models, mirroring natural organisms, adaptively evolve to select relevant feature interactions within populations for different lake types and tasks.

BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry

no code implementations28 Jan 2024 Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman, Zhengqing Wang, Karl D. D. Willis, Yasutaka Furukawa

Starting from the root and progressing to the leaf, BrepGen employs Transformer-based diffusion models to sequentially denoise node features while duplicated nodes are detected and merged, recovering the B-Rep topology information.

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

2 code implementations7 Dec 2023 Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu

Firstly, a frustum feature encoder module is used to extract per-point features within the frustum region, which preserves scene consistency and is crucial for point-level predictions.

3D Semantic Segmentation Autonomous Driving +2

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation

1 code implementation6 Nov 2023 Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong liu, Ruiming Tang, Defu Lian, Enhong Chen

To this end, we propose a graph-driven framework, named Adaptive and Personalized Graph Learning for Sequential Recommendation (APGL4SR), that incorporates adaptive and personalized global collaborative information into sequential recommendation systems.

Graph Learning Multi-Task Learning +1

Hierarchical Neural Coding for Controllable CAD Model Generation

1 code implementation30 Jun 2023 Xiang Xu, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Karl D. D. Willis, Yasutaka Furukawa

This paper presents a novel generative model for Computer Aided Design (CAD) that 1) represents high-level design concepts of a CAD model as a three-level hierarchical tree of neural codes, from global part arrangement down to local curve geometry; and 2) controls the generation or completion of CAD models by specifying the target design using a code tree.

M3PT: A Multi-Modal Model for POI Tagging

no code implementations16 Jun 2023 Jingsong Yang, Guanzhou Han, Deqing Yang, Jingping Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, Shenghua Ni

In this paper, we propose a novel Multi-Modal Model for POI Tagging, namely M3PT, which achieves enhanced POI tagging through fusing the target POI's textual and visual features, and the precise matching between the multi-modal representations.

Contrastive Learning

In vivo labeling and quantitative imaging of neurons using MRI

no code implementations13 Nov 2022 Shana Li, Xiang Xu, Canjun Li, Ziyan Xu, Qiong Ye, Yan Zhang, Chunlei Cang, Jie Wen

Developing in vivo neuronal labeling and imaging techniques is crucial for studying the structure and function of neural circuits.

SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks

no code implementations11 Jul 2022 Xiang Xu, Karl D. D. Willis, Joseph G. Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, Yasutaka Furukawa

We present SkexGen, a novel autoregressive generative model for computer-aided design (CAD) construction sequences containing sketch-and-extrude modeling operations.

Efficient Exploration

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

2 code implementations19 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 Object

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.

Classification

Learning Self-Consistency for Deepfake Detection

1 code implementation 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 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

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 Anti-Spoofing 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 +5

$d$-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 +1

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.

Attribute Classification +1

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 +2

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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