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06/28/2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
In recent years, Transformer-based language models have become the stand...
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06/16/2023
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition
Conversational emotion recognition (CER) is an important research topic ...
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02/06/2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning
Practical natural language processing (NLP) tasks are commonly long-tail...
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01/11/2023
Head-Free Lightweight Semantic Segmentation with Linear Transformer
Existing semantic segmentation works have been mainly focused on designi...
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11/10/2022
A new conservative discontinuous Galerkin method via implicit penalization for the generalized KdV equation
We design, analyze, and implement a new conservative Discontinuous Galer...
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11/09/2022
Numerical investigations on the resonance errors of multiscale discontinuous Galerkin methods for one-dimensional stationary Schrödinger equation
In this paper, numerical experiments are carried out to investigate the ...
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10/25/2022
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
Representing the spatial properties of facial attributes is a vital chal...
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10/12/2022
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image
We present a deep reinforcement learning method of progressive view inpa...
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06/09/2022
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
The dynamic membrane potential threshold, as one of the essential proper...
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12/27/2021
Computationally Efficient Approximations for Matrix-based Renyi's Entropy
The recently developed matrix based Renyi's entropy enables measurement ...
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12/16/2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Existing neural networks for computer vision tasks are vulnerable to adv...
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12/12/2021
Markov subsampling based Huber Criterion
Subsampling is an important technique to tackle the computational challe...
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12/09/2021
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment
Modal regression, a widely used regression protocol, has been extensivel...
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10/26/2021
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition
Recognizing the human emotion automatically from visual characteristics ...
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09/19/2021
Object Tracking by Jointly Exploiting Frame and Event Domain
Inspired by the complementarity between conventional frame-based and bio...
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09/14/2021
Luminance Attentive Networks for HDR Image and Panorama Reconstruction
It is very challenging to reconstruct a high dynamic range (HDR) from a ...
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08/16/2021
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Most polyp segmentation methods use CNNs as their backbone, leading to t...
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08/10/2021
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking
Jointly exploiting multiple different yet complementary domain informati...
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03/30/2021
Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
Predicting future trajectories of surrounding obstacles is a crucial tas...
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02/08/2021
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
Saliency detection based on the complementary information from RGB image...
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01/14/2021
Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion
Camouflaged object detection (COD), which aims to identify the objects t...
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09/07/2020
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group
Tax evasion is a serious economic problem for many countries, as it can ...
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07/18/2020
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching
Knowledge transfer from a source domain to a different but semantically ...
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11/06/2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN
Cardiac magnetic resonance (CMR) images play a growing role in the diagn...
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08/13/2018
A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering
Image clustering is to group a set of images into disjoint clusters in a...
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06/05/2018
