b'Kai Chen'

research

∙ 07/04/2022

Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation

The recently proposed semi-blind source separation (SBSS) method for non...

Guoliang Cheng, et al. ∙

research

∙ 06/28/2022

Secure Forward Aggregation for Vertical Federated Neural Networks

Vertical federated learning (VFL) is attracting much attention because i...

Shuowei Cai, et al. ∙

research

∙ 06/27/2022

A two-stage full-band speech enhancement model with effective spectral compression mapping

The direct expansion of deep neural network (DNN) based wide-band speech...

Zhongshu Hou, et al. ∙

research

∙ 06/23/2022

A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions

Manufacturing companies typically use sophisticated production planning ...

Jing Tan, et al. ∙

research

∙ 06/02/2022

What Are Expected Queries in End-to-End Object Detection?

End-to-end object detection is rapidly progressed after the emergence of...

Shilong Zhang, et al. ∙

research

∙ 05/26/2022

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing

Self-supervised learning (SSL), especially contrastive methods, has rais...

Zhili Liu, et al. ∙

research

∙ 05/19/2022

PYSKL: Towards Good Practices for Skeleton Action Recognition

We present PYSKL: an open-source toolbox for skeleton-based action recog...

Haodong Duan, et al. ∙

research

∙ 05/04/2022

TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition

Recognizing transformation types applied to a video clip (RecogTrans) is...

Haodong Duan, et al. ∙

research

∙ 04/28/2022

MMRotate: A Rotated Object Detection Benchmark using Pytorch

We present an open-source toolbox, named MMRotate, which provides a cohe...

Yue Zhou, et al. ∙

research

∙ 04/26/2022

ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation

Infrared cameras are often utilized to enhance the night vision since th...

Zhenjie Yu, et al. ∙

research

∙ 04/14/2022

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking

In this paper, we propose an iterative self-training framework for sim-t...

Kai Chen, et al. ∙

research

∙ 04/10/2022

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

This paper presents Video K-Net, a simple, strong, and unified framework...

Xiangtai Li, et al. ∙

research

∙ 04/04/2022

Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam

With its critical role in business and service delivery through mobile d...

Siyuan Tang, et al. ∙

research

∙ 03/23/2022

StructToken : Rethinking Semantic Segmentation with Structural Prior

In this paper, we present structure token (StructToken), a new paradigm ...

Fangjian Lin, et al. ∙

research

∙ 03/21/2022

Dense Siamese Network

This paper presents Dense Siamese Network (DenseSiam), a simple unsuperv...

Wenwei Zhang, et al. ∙

research

∙ 03/15/2022

RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion

Temporal factors are tied to the growth of facts in realistic applicatio...

Kai Chen, et al. ∙

research

∙ 03/15/2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

Contemporary deep-learning object detection methods for autonomous drivi...

Kaican Li, et al. ∙

research

∙ 03/15/2022

APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation

Style-guided text image generation tries to synthesize text image by imi...

Yangming Shi, et al. ∙

research

∙ 03/14/2022

GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors

Face image super resolution (face hallucination) usually relies on facia...

Jingwen He, et al. ∙

research

∙ 03/11/2022

No free lunch theorem for security and utility in federated learning

In a federated learning scenario where multiple parties jointly learn a ...

Xiaojin Zhang, et al. ∙

research

∙ 03/05/2022

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking

Industrial bin picking is a challenging task that requires accurate and ...

Yidan Feng, et al. ∙

research

∙ 02/10/2022

PPA: Preference Profiling Attack Against Federated Learning

Federated learning (FL) trains a global model across a number of decentr...

Chunyi Zhou, et al. ∙

research

∙ 01/17/2022

Efficient Data-Plane Memory Scheduling for In-Network Aggregation

As the scale of distributed training grows, communication becomes a bott...

Hao Wang, et al. ∙

research

∙ 01/17/2022

Efficient DNN Training with Knowledge-Guided Layer Freezing

Training deep neural networks (DNNs) is time-consuming. While most exist...

Yiding Wang, et al. ∙

research

∙ 01/12/2022

OCSampler: Compressing Videos to One Clip with Single-step Sampling

In this paper, we propose a framework named OCSampler to explore a compa...

Jintao Lin, et al. ∙

research

∙ 12/28/2021

TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification

Nowadays, real data in person re-identification (ReID) task is facing pr...

Kai Chen, et al. ∙

research

∙ 12/27/2021

Automatic Configuration for Optimal Communication Scheduling in DNN Training

ByteScheduler partitions and rearranges tensor transmissions to improve ...

Yiqing Ma, et al. ∙

research

∙ 12/22/2021

Semantics-Recovering Decompilation through Neural Machine Translation

Decompilation transforms low-level program languages (PL) (e.g., binary ...

Ruigang Liang, et al. ∙

research

∙ 12/04/2021

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

Referring image segmentation is a fundamental vision-language task that ...

Zhao Yang, et al. ∙

research

∙ 11/23/2021

Few-Shot Object Detection via Association and DIscrimination

Object detection has achieved substantial progress in the last decade. H...

Yuhang Cao, et al. ∙

research

∙ 11/22/2021

DBIA: Data-free Backdoor Injection Attack against Transformer Networks

Recently, transformer architecture has demonstrated its significance in ...

Peizhuo Lv, et al. ∙

research

∙ 10/29/2021

Attacking Video Recognition Models with Bullet-Screen Comments

Recent research has demonstrated that Deep Neural Networks (DNNs) are vu...

Kai Chen, et al. ∙

research

∙ 10/25/2021

STransGAN: An Empirical Study on Transformer in GANs

Transformer becomes prevalent in computer vision, especially for high-le...

Rui Xu, et al. ∙

research

∙ 10/04/2021

TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks

In Machine Learning (ML) system research, efficient resource scheduling ...

Kaiqiang Xu, et al. ∙

research

∙ 09/30/2021

Secure Machine Learning over Relational Data

A closer integration of machine learning and relational databases has ga...

Qiyao Luo, et al. ∙

research

∙ 09/08/2021

Temporal RoI Align for Video Object Recognition

Video object detection is challenging in the presence of appearance dete...

Tao Gong, et al. ∙

research

∙ 08/27/2021

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving

Autonomous driving has attracted much attention over the years but turns...

Kai Chen, et al. ∙

research

∙ 08/23/2021

Towards Balanced Learning for Instance Recognition

Instance recognition is rapidly advanced along with the developments of ...

Jiangmiao Pang, et al. ∙

research

∙ 08/19/2021

Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks

Category-level 6D pose estimation, aiming to predict the location and or...

Jiaze Wang, et al. ∙

research

∙ 08/18/2021

Practical and Secure Federated Recommendation with Personalized Masks

Federated recommendation is a new notion of private distributed recommen...

Liu Yang, et al. ∙

research

∙ 08/16/2021

Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning

Vertical federated learning (VFL) leverages various privacy-preserving a...

Cengguang Zhang, et al. ∙

research

∙ 08/14/2021

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

We present MMOCR-an open-source toolbox which provides a comprehensive p...

Zhanghui Kuang, et al. ∙

research

∙ 08/02/2021

I2V-GAN: Unpaired Infrared-to-Visible Video Translation

Human vision is often adversely affected by complex environmental factor...

Shuang Li, et al. ∙

research

∙ 07/29/2021

HAFLO: GPU-Based Acceleration for Federated Logistic Regression

In recent years, federated learning (FL) has been widely applied for sup...

Xiaodian Cheng, et al. ∙

research

∙ 07/12/2021

DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement

The dual-path RNN (DPRNN) was proposed to more effectively model extreme...

Xiaohuai Le, et al. ∙

research

∙ 07/03/2021

Multi-Objective Congestion Control

Decades of research on Internet congestion control (CC) has produced a p...

Yiqing Ma, et al. ∙

research

∙ 06/30/2021

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications

Data-driven approaches have been applied to many problems in urban compu...

Xu Geng, et al. ∙

research

∙ 06/28/2021

K-Net: Towards Unified Image Segmentation

Semantic, instance, and panoptic segmentations have been addressed using...

Wenwei Zhang, et al. ∙

research

∙ 06/21/2021

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving

Aiming at facilitating a real-world, ever-evolving and scalable autonomo...

Jianhua Han, et al. ∙

research

∙ 05/21/2021

WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection

The performance of object detection, to a great extent, depends on the a...

Shijie Fang, et al. ∙

Kai Chen

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