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09/10/2023
MFPNet: Multi-scale Feature Propagation Network For Lightweight Semantic Segmentation
In contrast to the abundant research focusing on large-scale models, the...
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07/18/2023
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
This paper proposes a novel paradigm for facial privacy protection that ...
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07/09/2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
Adversarial examples (AE) with good transferability enable practical bla...
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06/06/2023
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
As an important and challenging problem in computer vision, PAnoramic Se...
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03/28/2023
STMixer: A One-Stage Sparse Action Detector
Traditional video action detectors typically adopt the two-stage pipelin...
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12/31/2022
Generative Graph Neural Networks for Link Prediction
Inferring missing links or detecting spurious ones based on observed gra...
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09/28/2022
Learning Deep Representations via Contrastive Learning for Instance Retrieval
Instance-level Image Retrieval (IIR), or simply Instance Retrieval, deal...
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09/14/2022
EaaS: A Service-Oriented Edge Computing Framework Towards Distributed Intelligence
Edge computing has become a popular paradigm where services and applicat...
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03/04/2022
Interactive Image Synthesis with Panoptic Layout Generation
Interactive image synthesis from user-guided input is a challenging task...
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12/29/2021
Onsite Non-Line-of-Sight Imaging via Online Calibrations
There has been an increasing interest in deploying non-line-of-sight (NL...
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10/09/2021
Self-adaptive Multi-task Particle Swarm Optimization
Multi-task optimization (MTO) studies how to simultaneously solve multip...
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09/10/2021
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
Temporal grounding aims to localize a video moment which is semantically...
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08/27/2020
Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems
The purpose of this work is to highlight the content of the Microsoft Re...
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05/06/2020
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
3D moving object detection is one of the most critical tasks in dynamic ...
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02/27/2020
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
Structured convex optimization on weighted graphs finds numerous applica...
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01/03/2020
Modeling Information Need of Users in Search Sessions
Users issue queries to Search Engines, and try to find the desired infor...
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12/04/2019
Informative GANs via Structured Regularization of Optimal Transport
We tackle the challenge of disentangled representation learning in gener...
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04/08/2019
Variational Uncalibrated Photometric Stereo under General Lighting
Photometric stereo (PS) techniques nowadays remain constrained to an ide...
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03/27/2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
In this work, we consider nonconvex composite problems that involve inf-...
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01/31/2019
Probabilistic Discriminative Learning with Layered Graphical Models
Probabilistic graphical models are traditionally known for their success...
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10/29/2018
Deadline-Driven Multi-node Mobile Charging
Due to the merit without requiring charging cable, wireless power transf...
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08/06/2018
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
Dense pixelwise prediction such as semantic segmentation is an up-to-dat...
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05/20/2018
Structural Regularity Exploring and Controlling: A Network Reconstruction Perspective
The ubiquitous complex networks are often composed of regular and irregu...
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01/16/2018
Combinatorial Preconditioners for Proximal Algorithms on Graphs
We present a novel preconditioning technique for proximal optimization m...
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07/04/2017
LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution
We conduct a thorough study of photometric stereo under nearby point lig...
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04/20/2017