b'Ge Li'

research

∙ 07/30/2022

Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding

Consistent quality oriented rate control in video coding has attracted m...

Wei Gao, et al. ∙

research

∙ 07/25/2022

Salient Object Detection for Point Clouds

This paper researches the unexplored task-point cloud salient object det...

Songlin Fan, et al. ∙

research

∙ 07/18/2022

What does Transformer learn about source code?

In the field of source code processing, the transformer-based representa...

Kechi Zhang, et al. ∙

research

∙ 07/12/2022

Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization

Code summarization, the task of generating useful comments given the cod...

Lin Shi, et al. ∙

research

∙ 05/29/2022

SKFlow: Learning Optical Flow with Super Kernels

Optical flow estimation is a classical yet challenging task in computer ...

Shangkun Sun, et al. ∙

research

∙ 05/19/2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

The ever-growing model size and scale of compute have attracted increasi...

Yang Xiang, et al. ∙

research

∙ 04/29/2022

Deep Geometry Post-Processing for Decompressed Point Clouds

Point cloud compression plays a crucial role in reducing the huge cost o...

Xiaoqing Fan, et al. ∙

research

∙ 04/21/2022

Non-autoregressive Model for Full-line Code Completion

Code completion tools are frequently used by software developers to acce...

Fang Liu, et al. ∙

research

∙ 04/18/2022

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

Point clouds upsampling is a challenging issue to generate dense and uni...

Wenbo Zhao, et al. ∙

research

∙ 04/13/2022

Neural Texture Extraction and Distribution for Controllable Person Image Synthesis

We deal with the controllable person image synthesis task which aims to ...

Yurui Ren, et al. ∙

research

∙ 02/12/2022

OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression

In point cloud compression, sufficient contexts are significant for mode...

Chunyang Fu, et al. ∙

research

∙ 02/12/2022

Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval

In video surveillance, pedestrian retrieval (also called person re-ident...

Xianghao Zang, et al. ∙

research

∙ 01/26/2022

Learning to Recommend Method Names with Global Context

In programming, the names for the program entities, especially for the m...

Fang Liu, et al. ∙

research

∙ 12/23/2021

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Pre-trained language models have achieved state-of-the-art results in va...

Shuohuan Wang, et al. ∙

research

∙ 12/16/2021

Learning to Share in Multi-Agent Reinforcement Learning

In this paper, we study the problem of networked multi-agent reinforceme...

Yuxuan Yi, et al. ∙

research

∙ 12/08/2021

Specializing Versatile Skill Libraries using Local Mixture of Experts

A long-cherished vision in robotics is to equip robots with skills that ...

Onur Celik, et al. ∙

research

∙ 11/10/2021

Learning to Disentangle Scenes for Person Re-identification

There are many challenging problems in the person re-identification (ReI...

Xianghao Zang, et al. ∙

research

∙ 11/09/2021

Exploiting Robust Unsupervised Video Person Re-identification

Unsupervised video person re-identification (reID) methods usually depen...

Xianghao Zang, et al. ∙

research

∙ 11/09/2021

Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives

Background: Electronic Health Records (EHRs) contain rich information of...

Ziyi Liu, et al. ∙

research

∙ 09/17/2021

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

Generating portrait images by controlling the motions of existing faces ...

Yurui Ren, et al. ∙

research

∙ 08/28/2021

Power-Based Attacks on Spatial DNN Accelerators

With proliferation of DNN-based applications, the confidentiality of DNN...

Ge Li, et al. ∙

research

∙ 08/04/2021

Combining Attention with Flow for Person Image Synthesis

Pose-guided person image synthesis aims to synthesize person images by t...

Yurui Ren, et al. ∙

research

∙ 07/24/2021

Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification

Cloth-changing person re-identification (re-ID) is a new rising research...

Xiujun Shu, et al. ∙

research

∙ 05/31/2021

Large-Scale Spatio-Temporal Person Re-identification: Algorithm and Benchmark

Person re-identification (re-ID) in the scenario with large spatial and ...

Xiujun Shu, et al. ∙

research

∙ 04/01/2021

Modular Tree Network for Source Code Representation Learning

Learning representation for source code is a foundation of many program ...

Wenhan Wang, et al. ∙

research

∙ 12/29/2020

Multi-task Learning based Pre-trained Language Model for Code Completion

Code completion is one of the most useful features in the Integrated Dev...

Fang Liu, et al. ∙

research

∙ 12/10/2020

SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains

This paper observes that there is an issue of high frequencies missing i...

Yuanqi Chen, et al. ∙

research

∙ 12/08/2020

Learning to Represent Programs with Heterogeneous Graphs

Program source code contains complex structure information, which can be...

Wenhan Wang, et al. ∙

research

∙ 10/29/2020

Point Cloud Attribute Compression via Successive Subspace Graph Transform

Inspired by the recently proposed successive subspace learning (SSL) pri...

Yueru Chen, et al. ∙

research

∙ 09/18/2020

Towards Full-line Code Completion with Neural Language Models

A code completion system suggests future code elements to developers giv...

Wenhan Wang, et al. ∙

research

∙ 08/27/2020

Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation

Pose-guided person image generation and animation aim to transform a sou...

Yurui Ren, et al. ∙

research

∙ 07/28/2020

Toward Zero-Shot Unsupervised Image-to-Image Translation

Recent studies have shown remarkable success in unsupervised image-to-im...

Yuanqi Chen, et al. ∙

research

∙ 07/17/2020

A Technical Report for VIPriors Image Classification Challenge

Image classification has always been a hot and challenging task. This pa...

Zhipeng Luo, et al. ∙

research

∙ 03/11/2020

GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency

Since detecting and recognizing individual human or object are not adequ...

Dongming Yang, et al. ∙

research

∙ 03/02/2020

Deep Image Spatial Transformation for Person Image Generation

Pose-guided person image generation is to transform a source person imag...

Yurui Ren, et al. ∙

research

∙ 02/20/2020

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree

Code clones are semantically similar code fragments pairs that are synta...

Wenhan Wang, et al. ∙

research

∙ 01/26/2020

NLocalSAT: Boosting Local Search with Solution Prediction

The boolean satisfiability problem is a famous NP-complete problem in co...

Wenjie Zhang, et al. ∙

research

∙ 11/08/2019

RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection

Generic object detection algorithms have proven their excellent performa...

Wei-Hong Lin, et al. ∙

research

∙ 10/30/2019

C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network

Traditional video quality assessment (VQA) methods evaluate localized pi...

Munan Xu, et al. ∙

research

∙ 10/14/2019

Code Generation as a Dual Task of Code Summarization

Code summarization (CS) and code generation (CG) are two crucial tasks i...

Bolin Wei, et al. ∙

research

∙ 09/17/2019

Multi-mapping Image-to-Image Translation via Learning Disentanglement

Recent advances of image-to-image translation focus on learning the one-...

Xiaoming Yu, et al. ∙

research

∙ 09/16/2019

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

Code completion, one of the most useful features in the integrated devel...

Fang Liu, et al. ∙

research

∙ 08/19/2019

C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks

Recently, significant progresses have been made in object detection on c...

Dongming Yang, et al. ∙

research

∙ 08/11/2019

StructureFlow: Image Inpainting via Structure-aware Appearance Flow

Image inpainting techniques have shown significant improvements by using...

Yurui Ren, et al. ∙

research

∙ 06/28/2019

ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network

In recent years, memory-augmented neural networks(MANNs) have shown prom...

Zhangheng Li, et al. ∙

research

∙ 04/18/2019

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

Point cloud is a fundamental 3D representation which is widely used in r...

Wei Yan, et al. ∙

research

∙ 03/18/2019

Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

Video anomaly detection under weak labels is formulated as a typical mul...

Jia-Xing Zhong, et al. ∙

research

∙ 02/24/2019

Bi-Skip: A Motion Deblurring Network Using Self-paced Learning

A fast and effective motion deblurring method has great application valu...

Yiwei Zhang, et al. ∙

research

∙ 11/14/2018

A Grammar-Based Structural CNN Decoder for Code Generation

Code generation maps a program description to executable source code in ...

Zeyu Sun, et al. ∙

research

∙ 11/06/2018

BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization

Despite tremendous progress achieved in temporal action detection, state...

Weijie Kong, et al. ∙

Ge Li

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