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09/03/2023
Liquid Democracy in DPoS Blockchains
Voting mechanisms play a crucial role in decentralized governance of blo...
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08/16/2023
KernelWarehouse: Towards Parameter-Efficient Dynamic Convolution
Dynamic convolution learns a linear mixture of n static kernels weighted...
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08/09/2023
Analyzing and controlling diversity in quantum-behaved particle swarm optimization
This paper addresses the issues of controlling and analyzing the populat...
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08/07/2023
Quantifying the Impact of Large Language Models on Collective Opinion Dynamics
The process of opinion expression and exchange is a critical component o...
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07/14/2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World
Physical adversarial attacks against deep neural networks (DNNs) have re...
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07/14/2023
Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks
This paper proposes a novel approach to integrating partial differential...
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06/27/2023
GroundNLQ @ Ego4D Natural Language Queries Challenge 2023
In this report, we present our champion solution for Ego4D Natural Langu...
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06/26/2023
Optimized Vectorizing of Building Structures with Swap: High-Efficiency Convolutional Channel-Swap Hybridization Strategy
The building planar graph reconstruction, a.k.a. footprint reconstructio...
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06/19/2023
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service
The Serverless Computing is becoming increasingly popular due to its eas...
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06/09/2023
Cross-Consensus Measurement of Individual-level Decentralization in Blockchains
Decentralization is widely recognized as a crucial characteristic of blo...
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06/06/2023
PGformer: Proxy-Bridged Game Transformer for Multi-Person Extremely Interactive Motion Prediction
Multi-person motion prediction is a challenging task, especially for rea...
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06/01/2023
A Novel Driver Distraction Behavior Detection Based on Self-Supervised Learning Framework with Masked Image Modeling
Driver distraction causes a significant number of traffic accidents ever...
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05/24/2023
SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search
Tensor network (TN) representation is a powerful technique for data anal...
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05/23/2023
Impact of Light and Shadow on Robustness of Deep Neural Networks
Deep neural networks (DNNs) have made remarkable strides in various comp...
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05/23/2023
NORM: Knowledge Distillation via N-to-One Representation Matching
Existing feature distillation methods commonly adopt the One-to-one Repr...
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05/05/2023
Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase
Purpose: To improve the generalization ability of convolutional neural n...
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04/25/2023
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
Tensor network (TN) is a powerful framework in machine learning, but sel...
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04/20/2023
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
Neural radiance fields (NeRFs) enable novel view synthesis with unpreced...
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04/19/2023
Adaptive beamforming for optical wireless communication via fiber modal control
High-speed optical wireless communication can address the exponential gr...
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04/14/2023
The Second Monocular Depth Estimation Challenge
This paper discusses the results for the second edition of the Monocular...
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04/14/2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense
While having achieved great success in rich real-life applications, deep...
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03/26/2023
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
Most recently, the pathology diagnosis of cancer is shifting to integrat...
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03/24/2023
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
MRI synthesis promises to mitigate the challenge of missing MRI modality...
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03/24/2023
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Multi-contrast magnetic resonance imaging (MRI) is the most common manag...
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03/01/2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
Achieving efficient and robust multi-channel data learning is a challeng...
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02/28/2023
Practice of the conformer enhanced AUDIO-VISUAL HUBERT on Mandarin and English
Considering the bimodal nature of human speech perception, lips, and tee...
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02/09/2023
Gaussian Mask Convolution for Convolutional Neural Networks
Square convolution is a default unit in convolutional neural networks as...
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01/27/2023
Improved Differential-neural Cryptanalysis for Round-reduced Simeck32/64
In CRYPTO 2019, Gohr presented differential-neural cryptanalysis by buil...
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01/19/2023
Spatially Covariant Lesion Segmentation
Compared to natural images, medical images usually show stronger visual ...
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01/13/2023
Channel Measurement for Holographic MIMO: Benefits and Challenges of Spatial Oversampling
In this paper, the channel of an indoor holographic multiple-input multi...
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01/06/2023
Centralized Cooperative Exploration Policy for Continuous Control Tasks
The deep reinforcement learning (DRL) algorithm works brilliantly on sol...
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12/07/2022
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble
Deep reinforcement learning (DRL) provides a new way to generate robot c...
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12/02/2022
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications
The explosive growth of various types of big data and advances in AI tec...
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11/27/2022
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
Heterogeneous information networks (HINs) are widely employed for descri...
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11/17/2022
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
Trajectory Representation Learning (TRL) is a powerful tool for spatial-...
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11/01/2022
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) involves acquisition and recon...
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10/25/2022
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks
Stroke is the basic element of Chinese character and stroke extraction h...
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10/19/2022
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...
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10/18/2022
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Contrastive self-supervised learning (CSL) with a prototypical regulariz...
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09/22/2022
DRKF: Distilled Rotated Kernel Fusion for Efficiently Boosting Rotation Invariance in Image Matching
Most existing learning-based image matching pipelines are designed for b...
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09/16/2022
Omni-Dimensional Dynamic Convolution
Learning a single static convolutional kernel in each convolutional laye...
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09/16/2022
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data
Multivariate time series(MTS) is a universal data type related to many p...
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08/31/2022
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition
Vision Transformer and its variants have demonstrated great potential in...
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08/26/2022
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications
To automatically correct handwritten assignments, the traditional approa...
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08/18/2022
Siamese Prototypical Contrastive Learning
Contrastive Self-supervised Learning (CSL) is a practical solution that ...
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08/10/2022
Language Supervised Training for Skeleton-based Action Recognition
Skeleton-based action recognition has drawn a lot of attention for its c...
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07/27/2022
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition
Transformer-based methods have recently achieved great advancement on 2D...
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07/09/2022
Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet
Multi-person pose understanding from RGB videos includes three complex t...
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06/29/2022
SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences
The attention mechanisms of transformers effectively extract pertinent i...
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06/15/2022
