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08/30/2023
Sparse Waypoint Validity Checking for Self-Entanglement-Free Tethered Path Planning
A novel mechanism to derive self-entanglement-free (SEF) path for tether...
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08/25/2023
ChainedFilter: Combining Membership Filters by Chain Rule
Membership (membership query / membership testing) is a fundamental prob...
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04/05/2023
Calibrating Cross-modal Feature for Text-Based Person Searching
We present a novel and effective method calibrating cross-modal features...
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01/02/2023
ChameleMon: Shifting Measurement Attention as Network State Changes
Flow-level network measurement is critical to many network applications....
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10/27/2022
Revisiting the ACVI Method for Constrained Variational Inequalities
ACVI is a recently proposed first-order method for solving variational i...
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10/25/2022
COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning
We propose COEP, an automated and principled framework to solve inverse ...
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08/08/2022
Efficient Distance-Optimal Tethered Path Planning in Planar Environments: The Workspace Convexity
The main contribution of this paper is the proof of the convexity of the...
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07/27/2022
Efficient Search of the k Shortest Non-Homotopic Paths by Eliminating Non-k-Optimal Topologies
An efficient algorithm to solve the k shortest non-homotopic path planni...
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06/21/2022
Solving Constrained Variational Inequalities via an Interior Point Method
We develop an interior-point approach to solve constrained variational i...
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05/09/2022
Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes
This paper proposes a learning-based visual peg-in-hole that enables tra...
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04/16/2022
Cannikin's Law in Tensor Modeling: A Rank Study for Entanglement and Separability in Tensor Complexity and Model Capacity
This study clarifies the proper criteria to assess the modeling capacity...
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04/16/2022
Tensor-networks for High-order Polynomial Approximation: A Many-body Physics Perspective
We analyze the problem of high-order polynomial approximation from a man...
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04/15/2022
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph
Knowledge graph (KG) representation learning aims to encode entities and...
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01/19/2022
Q-ViT: Fully Differentiable Quantization for Vision Transformer
In this paper, we propose a fully differentiable quantization method for...
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09/23/2021
LGD: Label-guided Self-distillation for Object Detection
In this paper, we propose the first self-distillation framework for gene...
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09/15/2021
Anchor DETR: Query Design for Transformer-Based Detector
In this paper, we propose a novel query design for the transformer-based...
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04/15/2021
Points as Queries: Weakly Semi-supervised Object Detection by Points
We propose a novel point annotated setting for the weakly semi-supervise...
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03/17/2021
You Only Look One-level Feature
This paper revisits feature pyramids networks (FPN) for one-stage detect...
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12/04/2020
Generator Pyramid for High-Resolution Image Inpainting
Inpainting high-resolution images with large holes challenges existing d...
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12/03/2020
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Object detectors usually achieve promising results with the supervision ...
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09/10/2020
Spectral Clustering with Smooth Tiny Clusters
Spectral clustering is one of the most prominent clustering approaches. ...
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08/13/2020
Variance Regularization for Accelerating Stochastic Optimization
While nowadays most gradient-based optimization methods focus on explori...
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08/09/2020
A Deep Learning Approach for COVID-19 Trend Prediction
In this work, we developed a deep learning model-based approach to forec...
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07/29/2020
Space- and Computationally-Efficient Set Reconciliation via Parity Bitmap Sketch (PBS)
Set reconciliation is a fundamental algorithmic problem that arises in m...
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07/10/2020
A new stability and convergence proof of the Fourier-Galerkin spectral method for the spatially homogeneous Boltzmann equation
Numerical approximation of the Boltzmann equation is a challenging probl...
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06/26/2020
QCluster: Clustering Packets for FlowScheduling
Flow scheduling is crucial in data centers, as it directly influences us...
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06/10/2020
Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting
Chaotic time series forecasting has been far less understood despite its...
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05/26/2020
Perceptual Extreme Super Resolution Network with Receptive Field Block
Perceptual Extreme Super-Resolution for single image is extremely diffic...
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05/22/2020
A Group-Theoretic Framework for Knowledge Graph Embedding
We demonstrated the existence of a group algebraic structure hidden in r...
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05/22/2020
CovidNet: To Bring Data Transparency in the Era of COVID-19
Timely, creditable, and fine-granular case information is vital for loca...
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05/22/2020
CovidNet: To Bring the Data Transparency in Era of COVID-19
Timely, creditable, and fine-granular case information is vital for loca...
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03/31/2020
Learning Human-Object Interaction Detection using Interaction Points
Understanding interactions between humans and objects is one of the fund...
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01/27/2020
Cellular Decomposition for Non-repetitive Coverage Task with Minimum Discontinuities
A mechanism to derive non-repetitive coverage path solutions with a prov...
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09/05/2019
Elastic_HH: Tailored Elastic for Finding Heavy Hitters
Finding heavy hitters has been of vital importance in network measuremen...
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03/26/2019
DetNAS: Neural Architecture Search on Object Detection
Object detectors are usually equipped with networks designed for image c...
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09/04/2018
Fast and Accurate Graph Stream Summarization
A graph stream is a continuous sequence of data items, in which each ite...
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07/03/2018
MetaAnchor: Learning to Detect Objects with Customized Anchors
We propose a novel and flexible anchor mechanism named MetaAnchor for ob...
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04/21/2017