b'Yuan Xie'

Dual Reweighting Domain Generalization for Face Presentation Attack Detection

Face anti-spoofing approaches based on domain generalization (DG) have d...
06/30/2021 ∙ by Shubao Liu, et al. ∙ 0 ∙ share

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Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction

Sparse matrix-vector and matrix-matrix multiplication (SpMV and SpMM) ar...
06/30/2021 ∙ by Guyue Huang, et al. ∙ 0 ∙ share

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Novelty Detection via Contrastive Learning with Negative Data Augmentation

Novelty detection is the process of determining whether a query example ...
06/18/2021 ∙ by Chengwei Chen, et al. ∙ 0 ∙ share

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Towards Compact Single Image Super-Resolution via Contrastive Self-distillation

Convolutional neural networks (CNNs) are highly successful for super-res...
05/25/2021 ∙ by Yanbo Wang, et al. ∙ 3 ∙ share

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Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning

Hidden features in neural network usually fail to learn informative repr...
05/21/2021 ∙ by Jingyu Gong, et al. ∙ 0 ∙ share

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Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching

Image-text matching is an important multi-modal task with massive applic...
04/21/2021 ∙ by Shiyang Yan, et al. ∙ 0 ∙ share

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Contrastive Learning for Compact Single Image Dehazing

Single image dehazing is a challenging ill-posed problem due to the seve...
04/19/2021 ∙ by Haiyan Wu, et al. ∙ 47 ∙ share

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Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification

The Information Bottleneck (IB) provides an information theoretic princi...
04/07/2021 ∙ by Xudong Tian, et al. ∙ 0 ∙ share

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MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing

With the growing number of data-intensive workloads, GPU, which is the s...
03/11/2021 ∙ by Xinfeng Xie, et al. ∙ 0 ∙ share

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A Case for 3D Integrated System Design for Neuromorphic Computing AI Applications

Over the last decade, artificial intelligence has found many application...
03/02/2021 ∙ by Eren Kurshan, et al. ∙ 0 ∙ share

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IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning

Despite the great success of High-Level Synthesis (HLS) tools, we observ...
02/16/2021 ∙ by Nan Wu, et al. ∙ 11 ∙ share

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A Survey of Machine Learning for Computer Architecture and Systems

It has been a long time that computer architecture and systems are optim...
02/16/2021 ∙ by Nan Wu, et al. ∙ 47 ∙ share

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Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds

Boundary information plays a significant role in 2D image segmentation, ...
01/07/2021 ∙ by Jingyu Gong, et al. ∙ 0 ∙ share

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AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition

Recognizing human emotion/expressions automatically is quite an expected...
12/29/2020 ∙ by Tao Pu, et al. ∙ 0 ∙ share

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Training and Inference for Integer-Based Semantic Segmentation Network

Semantic segmentation has been a major topic in research and industry in...
11/30/2020 ∙ by Jiayi Yang, et al. ∙ 0 ∙ share

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Rubik: A Hierarchical Architecture for Efficient Graph Learning

Graph convolutional network (GCN) emerges as a promising direction to le...
09/26/2020 ∙ by Xiaobing Chen, et al. ∙ 0 ∙ share

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SEALing Neural Network Models in Secure Deep Learning Accelerators

Deep learning (DL) accelerators are increasingly deployed on edge device...
08/09/2020 ∙ by Pengfei Zuo, et al. ∙ 0 ∙ share

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Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition

Data inconsistency and bias are inevitable among different facial expres...
08/03/2020 ∙ by Yuan Xie, et al. ∙ 0 ∙ share

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Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network

With the development of medical imaging technology, medical images have ...
07/09/2020 ∙ by Nan Wang, et al. ∙ 18 ∙ share

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GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs

As the emerging trend of the graph-based deep learning, Graph Neural Net...
06/11/2020 ∙ by Yuke Wang, et al. ∙ 1 ∙ share

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SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation

We present SmartExchange, an algorithm-hardware co-design framework to t...
05/07/2020 ∙ by fcq, et al. ∙ 6 ∙ share

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NTIRE 2020 Challenge on Image Demoireing: Methods and Results

This paper reviews the Challenge on Image Demoireing that was part of th...
05/06/2020 ∙ by Shanxin Yuan, et al. ∙ 8 ∙ share

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TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain

Resistive-random-access-memory (ReRAM) based processing-in-memory (R^2PI...
05/03/2020 ∙ by Weitao Li, et al. ∙ 0 ∙ share

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Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences

Neuromorphic data, recording frameless spike events, have attracted cons...
05/02/2020 ∙ by Weihua He, et al. ∙ 11 ∙ share

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Computation on Sparse Neural Networks: an Inspiration for Future Hardware

Neural network models are widely used in solving many challenging proble...
04/24/2020 ∙ by Fei Sun, et al. ∙ 0 ∙ share

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Meta Segmentation Network for Ultra-Resolution Medical Images

Despite recent progress on semantic segmentation, there still exist huge...
02/19/2020 ∙ by Tong Wu, et al. ∙ 14 ∙ share

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Anomaly Detection by Latent Regularized Dual Adversarial Networks

Anomaly detection is a fundamental problem in computer vision area with ...
02/05/2020 ∙ by Chengwei Chen, et al. ∙ 0 ∙ share

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Acoustic anomaly detection via latent regularized gaussian mixture generative adversarial networks

Acoustic anomaly detection aims at distinguishing abnormal acoustic sign...
02/04/2020 ∙ by Chengwei Chen, et al. ∙ 0 ∙ share

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Novelty Detection via Non-Adversarial Generative Network

One-class novelty detection is the process of determining if a query exa...
02/03/2020 ∙ by Chengwei Chen, et al. ∙ 8 ∙ share

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Characterizing and Understanding GCNs on GPU

Graph convolutional neural networks (GCNs) have achieved state-of-the-ar...
01/28/2020 ∙ by Mingyu Yan, et al. ∙ 0 ∙ share

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SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor

Besides local features, global information plays an essential role in se...
01/24/2020 ∙ by Jiachen Xu, et al. ∙ 0 ∙ share

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Memristor Hardware-Friendly Reinforcement Learning

Recently, significant progress has been made in solving sophisticated pr...
01/20/2020 ∙ by Nan Wu, et al. ∙ 0 ∙ share

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HyGCN: A GCN Accelerator with Hybrid Architecture

In this work, we first characterize the hybrid execution patterns of GCN...
01/07/2020 ∙ by Mingyu Yan, et al. ∙ 0 ∙ share

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Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient

Recently, backpropagation through time inspired learning algorithms are ...
01/01/2020 ∙ by Ling Liang, et al. ∙ 14 ∙ share

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A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks

In recent years, plenty of metrics have been proposed to identify networ...
01/01/2020 ∙ by Zhaodong Chen, et al. ∙ 28 ∙ share

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Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer

In this paper, we propose Poq, a runtime assertion scheme for debugging ...
11/28/2019 ∙ by Gushu Li, et al. ∙ 0 ∙ share

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DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks

The rapidly growing parameter volume of deep neural networks (DNNs) hind...
11/19/2019 ∙ by Ao Ren, et al. ∙ 0 ∙ share

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Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization

Spiking neural network is an important family of models to emulate the b...
11/03/2019 ∙ by Lei Deng, et al. ∙ 18 ∙ share

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Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers

Deep neural network (DNN) quantization converting floating-point (FP) da...
09/05/2019 ∙ by Yukuan Yang, et al. ∙ 0 ∙ share

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AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms

As a promising solution to boost the performance of distance-related alg...
08/26/2019 ∙ by Yuke Wang, et al. ∙ 0 ∙ share

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Semi-Supervised Video Salient Object Detection Using Pseudo-Labels

Deep learning-based video salient object detection has recently achieved...
08/12/2019 ∙ by Pengxiang Yan, et al. ∙ 2 ∙ share

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Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints

As neural networks continue their reach into nearly every aspect of soft...
03/10/2019 ∙ by Xing Hu, et al. ∙ 0 ∙ share

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FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture

Neural Network (NN) accelerators with emerging ReRAM (resistive random a...
01/28/2019 ∙ by Yu Ji, et al. ∙ 0 ∙ share

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QGAN: Quantized Generative Adversarial Networks

The intensive computation and memory requirements of generative adversar...
01/24/2019 ∙ by Peiqi Wang, et al. ∙ 0 ∙ share

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A Secure and Persistent Memory System for Non-volatile Memory

In the non-volatile memory, ensuring the security and correctness of per...
01/03/2019 ∙ by Pengfei Zuo, et al. ∙ 0 ∙ share

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Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning

Facial landmark localization plays a critical role in face recognition a...
12/10/2018 ∙ by Lingbo Liu, et al. ∙ 4 ∙ share

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Bi-GANs-ST for Perceptual Image Super-resolution

Image quality measurement is a critical problem for image super-resoluti...
11/01/2018 ∙ by Xiaotong Luo, et al. ∙ 2 ∙ share

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Batch Normalization Sampling

Deep Neural Networks (DNNs) thrive in recent years in which Batch Normal...
10/25/2018 ∙ by Zhaodong Chen, et al. ∙ 0 ∙ share

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Dynamic Sparse Graph for Efficient Deep Learning

We propose to execute deep neural networks (DNNs) with dynamic and spars...
10/01/2018 ∙ by Liu Liu, et al. ∙ 0 ∙ share

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In-memory multiplication engine with SOT-MRAM based stochastic computing

Processing-in-memory (PIM) turns out to be a promising solution to break...
09/22/2018 ∙ by Xin Ma, et al. ∙ 0 ∙ share

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Yuan Xie

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