b'Ming Yang'

research

∙ 08/21/2023

EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints

Motivated by the superior performance of image diffusion models, more an...

0 Yutao Chen, et al. ∙

research

∙ 07/07/2023

Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms

Many machine learning tasks can be formulated as a stochastic compositio...

0 Ming Yang, et al. ∙

research

∙ 06/30/2023

Performance Analysis for Polar Codes under Successive Cancellation List Decoding with Fixed List Size

In this paper, we first indicate that the block error event of polar cod...

0 Jinnan Piao, et al. ∙

research

∙ 03/23/2023

Low-Light Image Enhancement by Learning Contrastive Representations in Spatial and Frequency Domains

Images taken under low-light conditions tend to suffer from poor visibil...

0 Yi Huang, et al. ∙

research

∙ 03/23/2023

Construction Methods Based Minimum Weight Distribution for Polar Codes with Successive Cancellation List Decoding

In this paper, we focus on the construction methods based MWD for polar ...

0 Jinnan Piao, et al. ∙

research

∙ 03/13/2023

Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offine Handwritten Mathematical Expression Recognition

Offline Handwritten Mathematical Expression Recognition (HMER) has been ...

0 Zihao Lin, et al. ∙

research

∙ 11/21/2022

Efficient Generalization Improvement Guided by Random Weight Perturbation

To fully uncover the great potential of deep neural networks (DNNs), var...

0 Tao Li, et al. ∙

research

∙ 11/17/2022

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data

Federated learning is a distributed learning that allows each client to ...

0 Ming Yang, et al. ∙

research

∙ 10/05/2022

Double-Ended Palindromic Trees: A Linear-Time Data Structure and Its Applications

The palindromic tree (a.k.a. eertree) is a linear-size data structure th...

0 Qisheng Wang, et al. ∙

research

∙ 09/07/2022

SUNet: Scale-aware Unified Network for Panoptic Segmentation

Panoptic segmentation combines the advantages of semantic and instance s...

0 Weihao Yan, et al. ∙

research

∙ 08/23/2022

Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation

Semantic segmentation is an important task for intelligent vehicles to u...

0 Weihao Yan, et al. ∙

research

∙ 12/04/2021

BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection

Thermal infrared (TIR) image has proven effectiveness in providing tempe...

0 Xiaoxiao Yang, et al. ∙

research

∙ 11/16/2021

BBS: A Blockchain Big-Data Sharing System

Chain of custody is needed to document the sequence of custody of sensit...

0 Shan Wang, et al. ∙

research

∙ 10/15/2021

Self-supervised Contrastive Attributed Graph Clustering

Attributed graph clustering, which learns node representation from node ...

0 Wei Xia, et al. ∙

research

∙ 09/27/2021

Recall and Learn: A Memory-augmented Solver for Math Word Problems

In this article, we tackle the math word problem, namely, automatically ...

0 Shifeng Huang, et al. ∙

research

∙ 09/15/2021

BOSS: A Blockchain Off-State Sharing System

Blockchain has been applied to data sharing to ensure the integrity of d...

0 Shan Wang, et al. ∙

research

∙ 07/02/2021

Momentum Accelerates the Convergence of Stochastic AUPRC Maximization

In this paper, we study stochastic optimization of areas under precision...

0 Guanghui Wang, et al. ∙

research

∙ 04/13/2021

Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

3D object detection in point clouds is a challenging vision task that be...

8 Bowen Cheng, et al. ∙

research

∙ 03/16/2021

Track to Detect and Segment: An Online Multi-Object Tracker

Most online multi-object trackers perform object detection stand-alone i...

10 Jialian Wu, et al. ∙

research

∙ 01/19/2021

Deep View Synthesis via Self-Consistent Generative Network

View synthesis aims to produce unseen views from a set of views captured...

0 Zhuoman Liu, et al. ∙

research

∙ 12/07/2020

Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference

Latent Factor Model (LFM) is one of the most successful methods for Coll...

0 Jiansheng Fang, et al. ∙

research

∙ 09/23/2020

MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion

3D vehicle detection based on multi-modal fusion is an important task of...

2 Zehan Zhang, et al. ∙

research

∙ 07/23/2020

On Manually Reverse Engineering Communication Protocols of Linux Based IoT Systems

IoT security and privacy has raised grave concerns. Efforts have been ma...

0 Kaizheng Liu, et al. ∙

research

∙ 04/21/2020

A Generic Network Compression Framework for Sequential Recommender Systems

Sequential recommender systems (SRS) have become the key technology in c...

0 Yang Sun, et al. ∙

research

∙ 04/02/2020

Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios

As one of the most important tasks in autonomous driving systems, ego-la...

0 Xiaoliang Wang, et al. ∙

research

∙ 09/24/2019

Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward

Accurate pedestrian orientation estimation of autonomous driving helps t...

0 Chenchen Zhao, et al. ∙

research

∙ 09/04/2019

SSAP: Single-Shot Instance Segmentation With Affinity Pyramid

Recently, proposal-free instance segmentation has received increasing at...

0 Naiyu Gao, et al. ∙

research

∙ 07/25/2019

Attention Guided Network for Retinal Image Segmentation

Learning structural information is critical for producing an ideal resul...

2 Shihao Zhang, et al. ∙

research

∙ 06/29/2019

RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation

Signals from RGB and depth data carry complementary information about th...

0 Liuyuan Deng, et al. ∙

research

∙ 06/24/2019

Resolution-invariant Person Re-Identification

Exploiting resolution invariant representation is critical for person Re...

2 Shunan Mao, et al. ∙

research

∙ 05/27/2019

A Novel Demodulation and Estimation Algorithm for Blackout Communication: Extract Principal Components with Deep Learning

For reentry or near space communication, owing to the influence of the t...

0 Haoyan Liu, et al. ∙

research

∙ 02/28/2019

Bi-Directional Cascade Network for Perceptual Edge Detection

Exploiting multi-scale representations is critical to improve edge detec...

0 Jianzhong He, et al. ∙

research

∙ 02/14/2019

3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation

This paper introduces a novel approach for 3D semantic instance segmenta...

0 Zhidong Liang, et al. ∙

research

∙ 08/01/2018

Instance-level Human Parsing via Part Grouping Network

Instance-level human parsing towards real-world human analysis scenarios...

4 Ke Gong, et al. ∙

research

∙ 06/08/2018

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

Temporal action proposal generation is an important yet challenging prob...

0 Tianwei Lin, et al. ∙

research

∙ 01/02/2018

Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras

Understanding the surrounding environment of the vehicle is still one of...

0 Liuyuan Deng, et al. ∙

research

∙ 09/09/2017

Joint Calibration of Panoramic Camera and Lidar Based on Supervised Learning

In view of contemporary panoramic camera-laser scanner system, the tradi...

0 Mingwei Cao, et al. ∙

research

∙ 10/03/2016

Multi-View Representation Learning: A Survey from Shallow Methods to Deep Methods

Recently, multi-view representation learning has become a rapidly growin...

0 Yingming Li, et al. ∙

research

∙ 09/27/2016

Top-N Recommendation on Graphs

Recommender systems play an increasingly important role in online applic...

0 Zhao Kang, et al. ∙

research

∙ 02/05/2016

Effective Clipart Image Vectorization Through Direct Optimization of Bezigons

Bezigons, i.e., closed paths composed of Bézier curves, have been widely...

0 Ming Yang, et al. ∙

research

∙ 12/18/2014

Compressing Deep Convolutional Networks using Vector Quantization

Deep convolutional neural networks (CNN) has become the most promising m...

0 Yunchao Gong, et al. ∙

research

∙ 06/20/2014

Web-Scale Training for Face Identification

Scaling machine learning methods to very large datasets has attracted co...

0 Yaniv Taigman, et al. ∙

Ming Yang

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