b'Xiangyang Xue'

research

∙ 05/09/2022

Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions

This paper studies the task of any objects grasping from the known categ...

Chilam Cheang, et al. ∙

research

∙ 05/09/2022

I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches

In this paper, we are interested in the problem of generating target gra...

Haitao Lin, et al. ∙

research

∙ 04/27/2022

Density-preserving Deep Point Cloud Compression

Local density of point clouds is crucial for representing local details,...

Yun He, et al. ∙

research

∙ 04/26/2022

One-shot Federated Learning without Server-side Training

Federated Learning (FL) has recently made significant progress as a new ...

Shangchao Su, et al. ∙

research

∙ 04/21/2022

Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images

We study the problem of shape generation in 3D mesh representation from ...

Chao Wen, et al. ∙

research

∙ 04/03/2022

DST: Dynamic Substitute Training for Data-free Black-box Attack

With the wide applications of deep neural network models in various comp...

Wenxuan Wang, et al. ∙

research

∙ 03/31/2022

ImpDet: Exploring Implicit Fields for 3D Object Detection

Conventional 3D object detection approaches concentrate on bounding boxe...

Xuelin Qian, et al. ∙

research

∙ 03/24/2022

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

Multiple datasets and open challenges for object detection have been int...

Likun Cai, et al. ∙

research

∙ 03/22/2022

QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human Motion Animation

This paper studies the task of conditional Human Motion Animation (cHMA)...

Yuxin Hong, et al. ∙

research

∙ 03/02/2022

H4D: Human 4D Modeling by Learning Neural Compositional Representation

Despite the impressive results achieved by deep learning based 3D recons...

Boyan Jiang, et al. ∙

research

∙ 02/15/2022

Compositional Scene Representation Learning via Reconstruction: A Survey

Visual scene representation learning is an important research problem in...

Jinyang Yuan, et al. ∙

research

∙ 12/30/2021

Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

The flourishing blossom of deep learning has witnessed the rapid develop...

Jingye Chen, et al. ∙

research

∙ 12/28/2021

The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection

Low-cost monocular 3D object detection plays a fundamental role in auton...

Zhikang Zou, et al. ∙

research

∙ 12/13/2021

Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution

In the last decade, the blossom of deep learning has witnessed the rapid...

Jingye Chen, et al. ∙

research

∙ 12/07/2021

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

Visual scenes are extremely rich in diversity, not only because there ar...

Jinyang Yuan, et al. ∙

research

∙ 12/03/2021

SGM3D: Stereo Guided Monocular 3D Object Detection

Monocular 3D object detection is a critical yet challenging task for aut...

Zheyuan Zhou, et al. ∙

research

∙ 08/12/2021

Progressive Coordinate Transforms for Monocular 3D Object Detection

Recognizing and localizing objects in the 3D space is a crucial ability ...

Li Wang, et al. ∙

research

∙ 06/27/2021

DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation

We propose a method of Category-level 6D Object Pose and Size Estimation...

Haitao Lin, et al. ∙

research

∙ 06/22/2021

Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition

Chinese character recognition has attracted much research interest due t...

Jingye Chen, et al. ∙

research

∙ 04/26/2021

Delving into Data: Effectively Substitute Training for Black-box Attack

Deep models have shown their vulnerability when processing adversarial s...

Wenxuan Wang, et al. ∙

research

∙ 03/30/2021

Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection

The objective of this paper is to learn context- and depth-aware feature...

Li Wang, et al. ∙

research

∙ 03/25/2021

Learning Dynamic Alignment via Meta-filter for Few-shot Learning

Few-shot learning (FSL), which aims to recognise new classes by adapting...

Chengming Xu, et al. ∙

research

∙ 03/22/2021

Raven's Progressive Matrices Completion with Latent Gaussian Process Priors

Abstract reasoning ability is fundamental to human intelligence. It enab...

Fan Shi, et al. ∙

research

∙ 03/19/2021

Knowledge-Guided Object Discovery with Acquired Deep Impressions

We present a framework called Acquired Deep Impressions (ADI) which cont...

Jinyang Yuan, et al. ∙

research

∙ 03/15/2021

Learning Compositional Representation for 4D Captures with Neural ODE

Learning based representation has become the key to the success of many ...

Boyan Jiang, et al. ∙

research

∙ 02/10/2021

A Generic Object Re-identification System for Short Videos

Short video applications like TikTok and Kwai have been a great hit rece...

Tairu Qiu, et al. ∙

research

∙ 10/27/2020

Nonlinear Monte Carlo Method for Imbalanced Data Learning

For basic machine learning problems, expected error is used to evaluate ...

Xuli Shen, et al. ∙

research

∙ 10/07/2020

M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging

To counter the outbreak of COVID-19, the accurate diagnosis of suspected...

Xuelin Qian, et al. ∙

research

∙ 08/04/2020

Temporal Context Aggregation for Video Retrieval with Contrastive Learning

The current research focus on Content-Based Video Retrieval requires hig...

Jie Shao, et al. ∙

research

∙ 05/26/2020

Long-Term Cloth-Changing Person Re-identification

Person re-identification (Re-ID) aims to match a target person across ca...

Xuelin Qian, et al. ∙

research

∙ 05/19/2020

MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method

Most modern Multi-Object Tracking (MOT) systems typically apply REID-bas...

Xixi Xu, et al. ∙

research

∙ 05/19/2020

Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt

Previous researches of sketches often considered sketches in pixel forma...

Hangyu Lin, et al. ∙

research

∙ 04/21/2020

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Adversarial attacks for discrete data (such as text) has been proved sig...

Linyang Li, et al. ∙

research

∙ 03/16/2020

Neural Pose Transfer by Spatially Adaptive Instance Normalization

Pose transfer has been studied for decades, in which the pose of a sourc...

Jiashun Wang, et al. ∙

research

∙ 03/01/2020

3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection

We propose a novel fast and robust 3D point clouds segmentation framewor...

Liang Du, et al. ∙

research

∙ 01/17/2020

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Affective computing and cognitive theory are widely used in modern human...

Wenxuan Wang, et al. ∙

research

∙ 12/20/2019

DeepSFM: Structure From Motion Via Deep Bundle Adjustment

Structure from motion (SfM) is an essential computer vision problem whic...

Xingkui Wei, et al. ∙

research

∙ 12/02/2019

Multi-Scale Self-Attention for Text Classification

In this paper, we introduce the prior knowledge, multi-scale structure, ...

Qipeng Guo, et al. ∙

research

∙ 11/23/2019

Joint Parsing and Generation for Abstractive Summarization

Sentences produced by abstractive summarization systems can be ungrammat...

Kaiqiang Song, et al. ∙

research

∙ 11/17/2019

Fast Color Constancy with Patch-wise Bright Pixels

In this paper, a learning-free color constancy algorithm called the Patc...

Yiyao Shi, et al. ∙

research

∙ 11/08/2019

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

The impressive performance of neural networks on natural language proces...

Xisen Jin, et al. ∙

research

∙ 05/05/2019

Towards Instance-level Image-to-Image Translation

Unpaired Image-to-image Translation is a new rising and challenging visi...

Zhiqiang Shen, et al. ∙

research

∙ 04/17/2019

Question Guided Modular Routing Networks for Visual Question Answering

Visual Question Answering (VQA) faces two major challenges: how to bette...

Yanze Wu, et al. ∙

research

∙ 03/25/2019

CODA: Counting Objects via Scale-aware Adversarial Density Adaption

Recent advances in crowd counting have achieved promising results with i...

Li Wang, et al. ∙

research

∙ 02/25/2019

Star-Transformer

Although the fully-connected attention-based model Transformer has achie...

Qipeng Guo, et al. ∙

research

∙ 02/07/2019

Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping

Humans perceive the seemingly chaotic world in a structured and composit...

Jinyang Yuan, et al. ∙

research

∙ 12/21/2018

A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization

Emotional content is a crucial ingredient in user-generated videos. Howe...

Guoyun Tu, et al. ∙

research

∙ 12/06/2018

MEAL: Multi-Model Ensemble via Adversarial Learning

Often the best performing deep neural models are ensembles of multiple b...

Zhiqiang Shen, et al. ∙

research

∙ 11/28/2018

Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network

Sketch has been employed as an effective communicative tool to express t...

Peng Lu, et al. ∙

research

∙ 11/19/2018

High Order Neural Networks for Video Classification

Capturing spatiotemporal correlations is an essential topic in video cla...

Jie Shao, et al. ∙

Xiangyang Xue

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