b'Zhen Dong'

research

∙ 04/02/2023

Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting

In this paper, we present a new method for the multiview registration of...

0 Haiping Wang, et al. ∙

research

∙ 03/18/2023

Discovering Predictable Latent Factors for Time Series Forecasting

Modern time series forecasting methods, such as Transformer and its vari...

0 Jingyi Hou, et al. ∙

research

∙ 02/08/2023

Q-Diffusion: Quantizing Diffusion Models

Diffusion models have achieved great success in synthesizing diverse and...

0 Xiuyu Li, et al. ∙

research

∙ 12/06/2022

CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification

Mixed-precision quantization has been widely applied on deep neural netw...

0 Lirui Xiao, et al. ∙

research

∙ 11/29/2022

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers

The complicated architecture and high training cost of vision transforme...

0 Yijiang Liu, et al. ∙

research

∙ 09/19/2022

Detecting and Fixing Data Loss Issues in Android Apps

Android apps are event-driven, and their execution is often interrupted ...

0 Wunan Guo, et al. ∙

research

∙ 09/14/2022

Analysis of Quantization on MLP-based Vision Models

Quantization is wildly taken as a model compression technique, which obt...

0 Lingran Zhao, et al. ∙

research

∙ 06/20/2022

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data

Domain adaptive text classification is a challenging problem for the lar...

0 Tian Li, et al. ∙

research

∙ 06/14/2022

Semi-signed neural fitting for surface reconstruction from unoriented point clouds

Reconstructing 3D geometry from unoriented point clouds can benefit many...

0 Runsong Zhu, et al. ∙

research

∙ 03/29/2022

3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow

Reconstructing 3D shape from a single 2D image is a challenging task, wh...

0 Junsheng Zhou, et al. ∙

research

∙ 11/23/2021

MFM-Net: Unpaired Shape Completion Network with Multi-stage Feature Matching

Unpaired 3D object completion aims to predict a complete 3D shape from a...

0 Zhen Cao, et al. ∙

research

∙ 09/20/2021

PC2-PU: Patch Correlation and Position Correction for Effective Point Cloud Upsampling

Point cloud upsampling is to densify a sparse point set acquired from 3D...

6 Chen Long, et al. ∙

research

∙ 09/06/2021

Finding Counterexamples of Temporal Logic properties in Software Implementations via Greybox Fuzzing

Software model checking is a verification technique which is widely used...

0 Ruijie Meng, et al. ∙

research

∙ 09/01/2021

You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

In this paper, we propose a novel local descriptor-based framework, call...

6 Haiping Wang, et al. ∙

research

∙ 08/12/2021

AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds

This paper presents a neural network for robust normal estimation on poi...

0 Runsong Zhu, et al. ∙

research

∙ 04/26/2021

HAO: Hardware-aware neural Architecture Optimization for Efficient Inference

Automatic algorithm-hardware co-design for DNN has shown great success i...

21 Zhen Dong, et al. ∙

research

∙ 03/25/2021

A Survey of Quantization Methods for Efficient Neural Network Inference

As soon as abstract mathematical computations were adapted to computatio...

10 Amir Gholami, et al. ∙

research

∙ 03/01/2021

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching

Accurately describing and detecting 2D and 3D keypoints is crucial to es...

0 Bing Wang, et al. ∙

research

∙ 01/22/2021

Hessian-Aware Pruning and Optimal Neural Implant

Pruning is an effective method to reduce the memory footprint and FLOPs ...

1 Shixing Yu, et al. ∙

research

∙ 12/05/2020

Cross-Domain Sentiment Classification with In-Domain Contrastive Learning

Contrastive learning (CL) has been successful as a powerful representati...

0 Tian Li, et al. ∙

research

∙ 11/30/2020

Learnable Motion Coherence for Correspondence Pruning

Motion coherence is an important clue for distinguishing true correspond...

3 Yuan Liu, et al. ∙

research

∙ 11/20/2020

HAWQV3: Dyadic Neural Network Quantization

Quantization is one of the key techniques used to make Neural Networks (...

7 Zhewei Yao, et al. ∙

research

∙ 10/30/2020

Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization

Contrastive learning (CL) has been successful as a powerful representati...

0 Tian Li, et al. ∙

research

∙ 08/11/2020

Localizing Patch Points From One Exploit

Automatic patch generation can significantly reduce the window of exposu...

0 Shiqi Shen, et al. ∙

research

∙ 06/12/2020

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution

Deploying deep learning models on embedded systems for computer vision t...

14 Zhen Dong, et al. ∙

research

∙ 05/21/2020

Concurrency-related Flaky Test Detection in Android apps

Validation of Android apps via testing is difficult owing to the presenc...

0 Zhen Dong, et al. ∙

research

∙ 02/19/2020

Algorithm-hardware Co-design for Deformable Convolution

FPGAs provide a flexible and efficient platform to accelerate rapidly-ch...

9 Qijing Huang, et al. ∙

research

∙ 01/01/2020

ZeroQ: A Novel Zero Shot Quantization Framework

Quantization is a promising approach for reducing the inference time and...

12 Yaohui Cai, et al. ∙

research

∙ 11/10/2019

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks

Quantization is an effective method for reducing memory footprint and in...

19 Zhen Dong, et al. ∙

research

∙ 09/12/2019

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT

Transformer based architectures have become de-facto models used for a r...

0 Sheng Shen, et al. ∙

research

∙ 11/05/2018

Joint Point Cloud and Image Based Localization For Efficient Inspection in Mixed Reality

This paper introduces a method of structure inspection using mixed-reali...

0 Manash Pratim Das, et al. ∙

research

∙ 08/12/2018

Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration

In this paper, we propose a coarse-to-fine integration solution inspired...

0 Yue Pan, et al. ∙

research

∙ 03/22/2016

Input Aggregated Network for Face Video Representation

Recently, deep neural network has shown promising performance in face im...

0 Zhen Dong, et al. ∙

Zhen Dong

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