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08/09/2023
Robust Object Modeling for Visual Tracking
Object modeling has become a core part of recent tracking frameworks. Cu...
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07/31/2023
Lightweight Super-Resolution Head for Human Pose Estimation
Heatmap-based methods have become the mainstream method for pose estimat...
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07/28/2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection
Graph anomaly detection (GAD) has gained increasing attention in recent ...
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06/27/2023
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection
Thanks to recent advancements in end-to-end speech modeling technology, ...
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06/02/2023
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference
Due to limited resources on edge and different characteristics of deep n...
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05/16/2023
Annotating 8,000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks
Annotating medical images, particularly for organ segmentation, is labor...
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05/15/2023
A Novel Framework for Multimodal Named Entity Recognition with Multi-level Alignments
Mining structured knowledge from tweets using named entity recognition (...
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05/09/2023
Variational Bayesian Inference for Bipartite Mixed-membership Stochastic Block Model with Applications to Collaborative Filtering
Motivated by the connections between collaborative filtering and network...
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05/02/2023
Data valuation: The partial ordinal Shapley value for machine learning
Data valuation using Shapley value has emerged as a prevalent research d...
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05/01/2023
BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms
As deep neural networks (DNNs) are being applied to a wide range of edge...
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04/28/2023
Imbalanced Node Classification Beyond Homophilic Assumption
Imbalanced node classification widely exists in real-world networks wher...
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04/26/2023
Video Frame Interpolation with Densely Queried Bilateral Correlation
Video Frame Interpolation (VFI) aims to synthesize non-existent intermed...
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04/23/2023
PiClick: Picking the desired mask in click-based interactive segmentation
Click-based interactive segmentation enables productive pixel-level anno...
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03/26/2023
A Heterogeneous Parallel Non-von Neumann Architecture System for Accurate and Efficient Machine Learning Molecular Dynamics
This paper proposes a special-purpose system to achieve high-accuracy an...
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03/12/2023
A Monkey Swing Counting Algorithm Based on Object Detection
This paper focuses on proposing a deep learning-based monkey swing count...
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03/09/2023
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations
Previous contrastive learning methods for sentence representations often...
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02/08/2023
An Empirical Study of Uniform-Architecture Knowledge Distillation in Document Ranking
Although BERT-based ranking models have been commonly used in commercial...
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01/02/2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
An increasing number of public datasets have shown a marked clinical imp...
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12/23/2022
Detecting Exploit Primitives Automatically for Heap Vulnerabilities on Binary Programs
Automated Exploit Generation (AEG) is a well-known difficult task, espec...
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11/30/2022
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution
Image super-resolution (SR) serves as a fundamental tool for the process...
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11/30/2022
MSV Challenge 2022: NPU-HC Speaker Verification System for Low-resource Indian Languages
This report describes the NPU-HC speaker verification system submitted t...
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11/21/2022
TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis
Multi-modal skin lesion diagnosis (MSLD) has achieved remarkable success...
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11/06/2022
Distinguishable Speaker Anonymization based on Formant and Fundamental Frequency Scaling
Speech data on the Internet are proliferating exponentially because of t...
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10/28/2022
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis
Modality representation learning is an important problem for multimodal ...
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10/19/2022
Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media
Named Entity Recognition (NER) on social media refers to discovering and...
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10/19/2022
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises
Enterprise relation extraction aims to detect pairs of enterprise entiti...
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10/17/2022
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference
In this talk, we introduce Merlin HugeCTR. Merlin HugeCTR is an open sou...
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10/08/2022
Multi-Scale Wavelet Transformer for Face Forgery Detection
Currently, many face forgery detection methods aggregate spatial and fre...
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09/23/2022
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Existing advertisements click-through rate (CTR) prediction models are m...
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09/19/2022
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising
The advancement of the communication technology and the popularity of th...
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09/03/2022
Illegal But Not Malware: An Underground Economy App Detection System Based on Usage Scenario
This paper focuses on mobile apps serving the underground economy by pro...
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08/11/2022
Optimizing Irregular-Shaped Matrix-Matrix Multiplication on Multi-Core DSPs
General Matrix Multiplication (GEMM) has a wide range of applications in...
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08/01/2022
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval
The computer-aided diagnosis (CAD) system can provide a reference basis ...
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07/01/2022
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence
Extracting cybersecurity entities such as attackers and vulnerabilities ...
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06/30/2022
Multiple Targets Directed Greybox Fuzzing
Directed greybox fuzzing (DGF) can quickly discover or reproduce bugs in...
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06/24/2022
Towards Effective Depthwise Convolutions on ARMv8 Architecture
Depthwise convolutions are widely used in lightweight convolutional neur...
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05/15/2022
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Growing interests in RGB-D salient object detection (RGB-D SOD) have bee...
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04/22/2022
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
The key challenge for few-shot semantic segmentation (FSS) is how to tai...
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04/18/2022
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution
Runtime and memory consumption are two important aspects for efficient i...
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03/29/2022
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
This paper studies a practical domain adaptive (DA) semantic segmentatio...
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03/16/2022
Open Set Recognition using Vision Transformer with an Additional Detection Head
Deep neural networks have demonstrated prominent capacities for image cl...
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03/15/2022
Cost-effective BlackWater Raft on Highly Unreliable Nodes at Scale Out
The Raft algorithm maintains strong consistency across data replicas in ...
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02/13/2022
Application of Color Block Code in Image Scaling
Aiming at the high cost of embedding annotation watermark in a narrow sm...
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02/13/2022
Privacy protection based on mask template
Powerful recognition algorithms are widely used in the Internet or impor...
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02/05/2022
A practical algorithm to minimize the overall error in FEM computations
Using the standard finite element method (FEM) to solve general partial ...
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12/07/2021
Cross-domain User Preference Learning for Cold-start Recommendation
Cross-domain cold-start recommendation is an increasingly emerging issue...
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11/27/2021
AdaDM: Enabling Normalization for Image Super-Resolution
Normalization like Batch Normalization (BN) is a milestone technique to ...
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11/24/2021
Auto robust relative radiometric normalization via latent change noise modelling
Relative radiometric normalization(RRN) of different satellite images of...
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11/09/2021
Approaching the Limit of Image Rescaling via Flow Guidance
Image downscaling and upscaling are two basic rescaling operations. Once...
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09/25/2021