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09/11/2023
SIM-Sync: From Certifiably Optimal Synchronization over the 3D Similarity Group to Scene Reconstruction with Learned Depth
This paper presents SIM-Sync, a certifiably optimal algorithm that estim...
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06/30/2023
Topology-Aware Resilient Routing Protocol for FANETs: An Adaptive Q-Learning Approach
Flying ad hoc networks (FANETs) play a crucial role in numerous military...
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06/30/2023
Toward Intelligent and Efficient 6G Networks: JCSC Enabled On-Purpose Machine Communications
Driven by the vision of "intelligent connection of everything" toward 6G...
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05/09/2023
Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval
Zero-shot sketch-based image retrieval (ZS-SBIR) is challenging due to t...
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05/06/2023
Reactive Perturbation Defocusing for Textual Adversarial Defense
Recent studies have shown that large pre-trained language models are vul...
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03/22/2023
Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
The two-stage object pose estimation paradigm first detects semantic key...
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03/17/2023
Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation
We study the problem of verification and synthesis of robust control bar...
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02/21/2023
Joint Communication, Sensing and Computation enabled 6G Intelligent Machine System
With the rapid development of the smart city, high-level autonomous driv...
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01/24/2023
Few-shot Font Generation by Learning Style Difference and Similarity
Few-shot font generation (FFG) aims to preserve the underlying global st...
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11/08/2022
Multiple Signal Classification Based Joint Communication and Sensing System
Joint communication and sensing (JCS) has become a promising technology ...
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10/06/2022
Augmentor or Filter? Reconsider the Role of Pre-trained Language Model in Text Classification Augmentation
Text augmentation is one of the most effective techniques to solve the c...
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08/02/2022
PyABSA: Open Framework for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) has become a prevalent task in re...
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06/24/2022
Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints
We consider a category-level perception problem, where one is given 2D o...
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06/12/2022
Evolutionary Multi-Task Injection Testing on Web Application Firewalls
Web application firewall (WAF) plays an integral role nowadays to protec...
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10/16/2021
Back to Reality: Leveraging Pattern-driven Modeling to Enable Affordable Sentiment Dependency Learning
Aspect-based Sentiment Classification (ABSC) is a challenging sub-task o...
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09/27/2021
Neighbor Discovery for VANET with Gossip Mechanism and Multi-packet Reception
Neighbor discovery (ND) is a key initial step of network configuration a...
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09/07/2021
Certifiable Outlier-Robust Geometric Perception: Exact Semidefinite Relaxations and Scalable Global Optimization
We propose the first general and scalable framework to design certifiabl...
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06/09/2021
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment
Face recognition has made significant progress in recent years due to de...
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05/28/2021
STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations
We consider solving high-order semidefinite programming (SDP) relaxation...
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04/16/2021
Optimal Pose and Shape Estimation for Category-level 3D Object Perception
We consider a category-level perception problem, where one is given 3D s...
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03/10/2021
Dynamical Pose Estimation
We study the problem of aligning two sets of 3D geometric primitives giv...
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03/04/2021
Self-supervised Geometric Perception
We present self-supervised geometric perception (SGP), the first general...
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11/07/2020
ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants
Many estimation problems in robotics, computer vision, and learning requ...
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10/02/2020
Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding
Target-oriented sentiment classification is a fine-grained task of natur...
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07/29/2020
Outlier-Robust Estimation: Hardness, Minimally-Tuned Algorithms, and Applications
Nonlinear estimation in robotics and vision is typically plagued with ou...
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06/11/2020
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
We propose a general and practical framework to design certifiable algor...
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05/07/2020
A Dynamical Perspective on Point Cloud Registration
We provide a dynamical perspective on the classical problem of 3D point ...
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01/21/2020
TEASER: Fast and Certifiable Point Cloud Registration
We propose the first fast and certifiable algorithm for the registration...
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12/17/2019
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
Aspect-based sentiment analysis (ABSA) task is a multi-grained task of n...
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11/27/2019
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
We study the problem of 3D shape reconstruction from 2D landmarks extrac...
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09/18/2019
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection
Semidefinite Programming (SDP) and Sums-of-Squares (SOS) relaxations hav...
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05/29/2019
A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers
The Wahba problem, also known as rotation search, seeks to find the best...
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03/20/2019
A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates
We propose a robust approach for the registration of two sets of 3D poin...
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06/14/2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
Deep Convolutional Neural Networks (CNN) has achieved significant succes...
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04/17/2018
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving
Autonomous driving has harsh requirements of small model size and energy...
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07/11/2015
Face Alignment Assisted by Head Pose Estimation
In this paper we propose a supervised initialization scheme for cascaded...
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01/21/2015