b'Xiao Liu'

research

∙ 05/22/2022

GraphMAE: Self-Supervised Masked Graph Autoencoders

Self-supervised learning (SSL) has been extensively explored in recent y...

Zhenyu Hou, et al. ∙

research

∙ 05/21/2022

DeepStruct: Pretraining of Language Models for Structure Prediction

We introduce a method for improving the structural understanding abiliti...

Chenguang Wang, et al. ∙

research

∙ 05/12/2022

Dynamic Prefix-Tuning for Generative Template-based Event Extraction

We consider event extraction in a generative manner with template-based ...

Xiao Liu, et al. ∙

research

∙ 04/06/2022

Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis

Semantic image synthesis is a challenging task with many practical appli...

Yupeng Shi, et al. ∙

research

∙ 04/04/2022

MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Units Detection

The Facial Action Coding System (FACS) encodes the action units (AUs) in...

Xuri Ge, et al. ∙

research

∙ 03/23/2022

Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach

Recommender systems have been successfully used in many domains with the...

Xiao Liu, et al. ∙

research

∙ 03/15/2022

Things not Written in Text: Exploring Spatial Commonsense from Visual Signals

Spatial commonsense, the knowledge about spatial position and relationsh...

Xiao Liu, et al. ∙

research

∙ 03/10/2022

A Tree-Structured Multi-Task Model Recommender

Tree-structured multi-task architectures have been employed to jointly t...

Lijun Zhang, et al. ∙

research

∙ 03/03/2022

Adaptive Local-Global Relational Network for Facial Action Units Recognition and Facial Paralysis Estimation

Facial action units (AUs) refer to a unique set of facial muscle movemen...

Xuri Ge, et al. ∙

research

∙ 03/02/2022

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

Entity alignment, aiming to identify equivalent entities across differen...

Xiao Liu, et al. ∙

research

∙ 01/06/2022

3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning

Intracranial aneurysms are common nowadays and how to detect them intell...

Di Shao, et al. ∙

research

∙ 12/02/2021

MegBA: A High-Performance and Distributed Library for Large-Scale Bundle Adjustment

Large-scale Bundle Adjustment (BA) is the key for many 3D vision applica...

Jie Ren, et al. ∙

research

∙ 11/29/2021

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

In this paper, we present TransMVSNet, based on our exploration of featu...

Yikang Ding, et al. ∙

research

∙ 11/25/2021

MegLoc: A Robust and Accurate Visual Localization Pipeline

In this paper, we present a visual localization pipeline, namely MegLoc,...

Shuxue Peng, et al. ∙

research

∙ 11/19/2021

Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression

This paper investigates deep neural network (DNN) compression from the p...

Yuezhou Sun, et al. ∙

research

∙ 11/13/2021

Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records

Dementia is a neurodegenerative disorder that causes cognitive decline a...

Tanish Tyagi, et al. ∙

research

∙ 10/25/2021

AutoMTL: A Programming Framework for Automated Multi-Task Learning

Multi-task learning (MTL) jointly learns a set of tasks. It is a promisi...

Lijun Zhang, et al. ∙

research

∙ 10/20/2021

Deep Point Cloud Normal Estimation via Triplet Learning

Normal estimation on 3D point clouds is a fundamental problem in 3D visi...

Weijia Wang, et al. ∙

research

∙ 10/14/2021

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Prompt tuning, which only tunes continuous prompts with a frozen languag...

Xiao Liu, et al. ∙

research

∙ 09/23/2021

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

We cast a suite of information extraction tasks into a text-to-triple tr...

Chenguang Wang, et al. ∙

research

∙ 09/17/2021

LOF: Structure-Aware Line Tracking based on Optical Flow

Lines provide the significantly richer geometric structural information ...

Meixiang Quan, et al. ∙

research

∙ 08/26/2021

A Tutorial on Learning Disentangled Representations in the Imaging Domain

Disentangled representation learning has been proposed as an approach to...

Xiao Liu, et al. ∙

research

∙ 08/17/2021

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation

Unsupervised disentanglement learning is a crucial issue for understandi...

Yuxiang Wei, et al. ∙

research

∙ 08/10/2021

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Code representation learning, which aims to encode the semantics of sour...

Xin Wang, et al. ∙

research

∙ 08/10/2021

Method Towards CVPR 2021 SimLocMatch Challenge

This report describes Megvii-3D team's approach towards SimLocMatch Chal...

Xiaopeng Bi, et al. ∙

research

∙ 08/10/2021

Method Towards CVPR 2021 Image Matching Challenge

This report describes Megvii-3D team's approach towards CVPR 2021 Image ...

Xiaopeng Bi, et al. ∙

research

∙ 08/05/2021

UniCon: Unified Context Network for Robust Active Speaker Detection

We introduce a new efficient framework, the Unified Context Network (Uni...

Yuanhang Zhang, et al. ∙

research

∙ 08/05/2021

Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval

The current state-of-the-art image-sentence retrieval methods implicitly...

Xuri Ge, et al. ∙

research

∙ 07/23/2021

Rethinking Hard-Parameter Sharing in Multi-Task Learning

Hard parameter sharing in multi-task learning (MTL) allows tasks to shar...

Lijun Zhang, et al. ∙

research

∙ 07/20/2021

Locality-aware Channel-wise Dropout for Occluded Face Recognition

Face recognition remains a challenging task in unconstrained scenarios, ...

Mingjie He, et al. ∙

research

∙ 07/14/2021

Unsupervised Neural Rendering for Image Hazing

Image hazing aims to render a hazy image from a given clean one, which c...

Boyun Li, et al. ∙

research

∙ 07/04/2021

Controllable cardiac synthesis via disentangled anatomy arithmetic

Acquiring annotated data at scale with rare diseases or conditions remai...

Spyridon Thermos, et al. ∙

research

∙ 07/03/2021

Boost-R: Gradient Boosted Trees for Recurrence Data

Recurrence data arise from multi-disciplinary domains spanning reliabili...

Xiao Liu, et al. ∙

research

∙ 07/02/2021

1st Place Solutions for UG2+ Challenge 2021 – (Semi-)supervised Face detection in the low light condition

In this technical report, we briefly introduce the solution of our team ...

Pengcheng Wang, et al. ∙

research

∙ 06/24/2021

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

Generalising deep models to new data from new centres (termed here domai...

Xiao Liu, et al. ∙

research

∙ 06/18/2021

Multi-Granularity Network with Modal Attention for Dense Affective Understanding

Video affective understanding, which aims to predict the evoked expressi...

Baoming Yan, et al. ∙

research

∙ 06/17/2021

A Self-supervised Method for Entity Alignment

Entity alignment, aiming to identify equivalent entities across differen...

Xiao Liu, et al. ∙

research

∙ 06/14/2021

3rd Place Solution for Short-video Face Parsing Challenge

Short videos have many applications on fashion trends, hot spots, street...

Xiao Liu, et al. ∙

research

∙ 04/29/2021

ELSD: Efficient Line Segment Detector and Descriptor

We present the novel Efficient Line Segment Detector and Descriptor (ELS...

Haotian Zhang, et al. ∙

research

∙ 04/28/2021

Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness

Inpainting arbitrary missing regions is challenging because learning val...

Manyu Zhu, et al. ∙

research

∙ 04/23/2021

Speed Planning Using Bezier Polynomials with Trapezoidal Corridors

To generate safe and real-time trajectories for an autonomous vehicle in...

Jialun Li, et al. ∙

research

∙ 04/19/2021

Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis

Causal inference is the process of capturing cause-effect relationship a...

Xiao Liu, et al. ∙

research

∙ 03/18/2021

GPT Understands, Too

While GPTs with traditional fine-tuning fail to achieve strong results o...

Xiao Liu, et al. ∙

research

∙ 03/18/2021

All NLP Tasks Are Generation Tasks: A General Pretraining Framework

There have been various types of pretraining architectures including aut...

Zhengxiao Du, et al. ∙

research

∙ 03/18/2021

Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser

The success of deep denoisers on real-world color photographs usually re...

Yue Cao, et al. ∙

research

∙ 03/03/2021

OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Model

To enrich language models with domain knowledge is crucial but difficult...

Xiao Liu, et al. ∙

research

∙ 02/24/2021

A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing

With the fast development of mobile edge computing (MEC), there is an in...

Xuejun Li, et al. ∙

research

∙ 02/20/2021

Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients

Artificial intelligence methods have been increasingly turning into a po...

Chenglin Pan, et al. ∙

research

∙ 02/16/2021

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

Graph Neural Networks (GNNs) have recently shown to be powerful tools fo...

Jintang Li, et al. ∙

research

∙ 01/30/2021

EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems

Current cloud-based smart systems suffer from weaknesses such as high re...

Xuejun Li, et al. ∙

Xiao Liu

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