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09/19/2023
Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System
In-memory caching systems are fundamental building blocks in cloud servi...
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08/23/2023
Sign Language Translation with Iterative Prototype
This paper presents IP-SLT, a simple yet effective framework for sign la...
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08/19/2023
UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding
In the era of Large Language Models (LLMs), tremendous strides have been...
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08/17/2023
SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning
In fisheye images, rich distinct distortion patterns are regularly distr...
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08/07/2023
Mobile Supply: The Last Piece of Jigsaw of Recommender System
Recommendation system is a fundamental functionality of online platforms...
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07/18/2023
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
Large-scale online recommender system spreads all over the Internet bein...
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07/17/2023
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection
Accurate and robust object detection is critical for autonomous driving....
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06/16/2023
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions
Pre-training fine-tuning is a prevalent paradigm in computer vision ...
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04/25/2023
Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom Metasurface Inverse Design
Conventional meta-atom designs rely heavily on researchers' prior knowle...
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04/18/2023
Deep Unrestricted Document Image Rectification
In recent years, tremendous efforts have been made on document image rec...
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02/20/2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
Spatiotemporal data mining plays an important role in air quality monito...
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02/08/2023
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback
This paper proposes an efficient quantum train engine (EQuaTE), a novel ...
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01/21/2023
Recurrent Contour-based Instance Segmentation with Progressive Learning
Contour-based instance segmentation has been actively studied, thanks to...
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10/15/2022
Geometric Representation Learning for Document Image Rectification
In document image rectification, there exist rich geometric constraints ...
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10/07/2022
Utilizing Explainable AI for improving the Performance of Neural Networks
Nowadays, deep neural networks are widely used in a variety of fields th...
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10/04/2022
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search
Online relevance matching is an essential task of e-commerce product sea...
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08/08/2022
Optimal Dynamic Orchestration in NDN-based Computing Networks
Named Data Networking (NDN) offers promising advantages in deploying nex...
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05/22/2022
TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks
Foodborne illness is a serious but preventable public health problem – w...
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03/31/2022
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition
Gesture recognition is one of the most intuitive ways of interaction and...
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10/28/2021
DocScanner: Robust Document Image Rectification with Progressive Learning
Compared to flatbed scanners, portable smartphones are much more conveni...
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10/25/2021
DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
In this work, we propose a new framework, called Document Image Transfor...
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05/20/2021
Approximation Algorithms for the NFV Service Distribution Problem
Distributed cloud networking builds on network functions virtualization ...
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03/10/2021
ES-Net: Erasing Salient Parts to Learn More in Re-Identification
As an instance-level recognition problem, re-identification (re-ID) requ...
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01/29/2021
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
In recent years, supervised person re-identification (re-ID) models have...
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12/23/2019
Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network
Most recent existing aspect-term level sentiment analysis (ATSA) approac...
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12/23/2019
Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction
Aspect-term level sentiment analysis (ATSA) is a fine-grained task in se...
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01/23/2019
Enable Super-resolution Parameter Estimation for Mm-wave Channel Sounding
This paper investigates the capability of millimeter-wave (mmWave) chann...
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10/27/2017
