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- ArticleNovember 2024
Image Gradient-Aided Photometric Stereo Network
PRICAI 2024: Trends in Artificial IntelligencePages 284–296https://doi.org/10.1007/978-981-96-0122-6_25AbstractPhotometric stereo (PS) endeavors to ascertain surface normals using shading clues from photometric images under various illuminations. Recent deep learning-based PS methods often overlook the complexity of object surfaces. These neural network ...
- research-articleNovember 2024
Under-Determined DOA Estimation: A Method Based on Higher-Order Statistics and Non-Uniform Arrays
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 11_Part_1Pages 15903–15914https://doi.org/10.1109/TWC.2024.3434981Direction of arrival (DOA) estimation is widely used in many applications. Traditional DOA estimation generally adopts the second-order statistics and the uniform linear array (ULA) structure. However, the second-order statistics and the uniform array ...
- research-articleFebruary 2024
UCMCTrack: multi-object tracking with uniform camera motion compensation
AAAI'24/IAAI'24/EAAI'24: Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial IntelligenceArticle No.: 745, Pages 6702–6710https://doi.org/10.1609/aaai.v38i7.28493Multi-object tracking (MOT) in video sequences remains a challenging task, especially in scenarios with significant camera movements. This is because targets can drift considerably on the image plane, leading to erroneous tracking outcomes. Addressing ...
- research-articleOctober 2023
Lightweight 3D hand pose estimation by cascading CNNs with reinforcement learning
Pattern Recognition Letters (PTRL), Volume 174, Issue CPages 137–144https://doi.org/10.1016/j.patrec.2023.09.004AbstractThis paper proposes a novel strategy for lightweight 3D hand pose estimation. The strategy decomposes the estimation process into feature extraction and feature exploitation, where feature extraction performs dimension reduction on the original ...
Highlights- Proposing a lightweight strategy for rapid 3D hand pose estimation.
- Cascading extraction via CNNs, considering exploitation as path optimization via RL.
- Extending RL into continuous space for better exploitation.
- Leading real-...
- ArticleOctober 2023
Modeling and Design Optimization of a Pre-stretched Rolled Dielectric Elastomer Actuator
AbstractDielectric elastomer actuators (DEAs) possess characteristics closest to human muscles and have been rapidly developed. The rolled DEA is considered more suitable as a driving module due to its ability to output unidirectional deformation. This ...
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- research-articleMay 2023
Structure Design and Configuration Optimization of the Reconfigurable Deformed Tracked Wheel based on Terramechanics Characteristics
Journal of Intelligent and Robotic Systems (JIRS), Volume 108, Issue 1https://doi.org/10.1007/s10846-023-01874-7AbstractWheeled locomotion mechanisms can traverse even terrains with high velocity, while tracked locomotion mechanisms can traverse rough terrains. Since different locomotion mechanisms are suitable for different terrains, there has always been a ...
- research-articleJanuary 2023
Low-Complexity Symbol Reconstruction Based on Direct Symbol Decision for FBMC-OQAM Systems
IEEE Transactions on Signal Processing (TSP), Volume 71Pages 4369–4381https://doi.org/10.1109/TSP.2023.3328061In this paper, we propose a series of low-complexity symbol reconstruction methods for filter-bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) systems, where the key is direct symbol decision. Specifically, by analyzing the ...
- research-articleJanuary 2023
Error Analysis of NIST SP 800-22 Test Suite
IEEE Transactions on Information Forensics and Security (TIFS), Volume 18Pages 3745–3759https://doi.org/10.1109/TIFS.2023.3287391Statistical tests for randomness play an essential role in cryptography, but the reliability of these tests is rarely taken into account, which may mislead our judgement of randomness especially with extremely large samples. In this paper, we make a two-...
- research-articleJuly 2022
Modeling and Analysis of Contact Stress of Opposed Piston Cam Engine Power Transmission Mechanism*
2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)Pages 569–575https://doi.org/10.1109/AIM52237.2022.9863315The opposed-piston cam engine (that is OCPE) comprehensively adopts the structural characteristics of the opposed piston engine and the cam type piston engine. Its unique cam power transmission mechanism significantly improves the power density and energy ...
- research-articleJuly 2022
The effects of price subsidy and fairness concern on pricing and benefits of take-away supply chain
Journal of Combinatorial Optimization (SPJCO), Volume 43, Issue 5Pages 1106–1124https://doi.org/10.1007/s10878-020-00625-wAbstractIn this paper, from the perspective of game theory, we study the impact of price subsidy and fairness concern on the pricing strategies and benefits of members in the take-away industry. In the single-channel supply chain, we build a Stackelberg ...
- research-articleSeptember 2020
A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems
RecSys '20: Proceedings of the 14th ACM Conference on Recommender SystemsPages 13–22https://doi.org/10.1145/3383313.3412240Critiquing is a method for conversational recommendation that incrementally adapts recommendations in response to user preference feedback. Specifically, a user is iteratively provided with item recommendations and attribute descriptions for those ...
- research-articleJuly 2020
Deep Critiquing for VAE-based Recommender Systems
SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information RetrievalPages 1269–1278https://doi.org/10.1145/3397271.3401091Providing explanations for recommended items not only allows users to understand the reason for receiving recommendations but also provides users with an opportunity to refine recommendations by critiquing undesired parts of the explanation. While much ...
- research-articleApril 2020
Latent Linear Critiquing for Conversational Recommender Systems
WWW '20: Proceedings of The Web Conference 2020Pages 2535–2541https://doi.org/10.1145/3366423.3380003Critiquing is a method for conversational recommendation that iteratively adapts recommendations in response to user preference feedback. In this setting, a user is iteratively provided with an item recommendation and attribute description for that item;...
- doctoral_thesisJanuary 2020
Latent Critiquing for Conversational Recommender Systems
AbstractCritiquing is a method for conversational recommendation that iteratively adapts recommendations in response to user feedback regarding item attributes. This thesis addresses four problems: (1) how can user preferences and feedback be represented ...
- research-articleJanuary 2020
Design Methodology of Conical Section Shape for Supercavitating Vehicles considering Auto-Oscillation Characteristics
Due to the complexity of the cavity/vehicle and oscillation characteristics, streamlined shape integrated design of conventional fully wetted vehicles is not suitable for supercavitating vehicles. In this paper, a set of design criteria is ...
- research-articleSeptember 2019
Deep language-based critiquing for recommender systems
RecSys '19: Proceedings of the 13th ACM Conference on Recommender SystemsPages 137–145https://doi.org/10.1145/3298689.3347009Critiquing is a method for conversational recommendation that adapts recommendations in response to user preference feedback regarding item attributes. Historical critiquing methods were largely based on constraint- and utility-based methods for ...
- research-articleJuly 2019
Parameter identifiability of space-time MIMO radar
Digital Signal Processing (DISP), Volume 90, Issue CPages 10–17https://doi.org/10.1016/j.dsp.2019.03.003AbstractIn multiple-input multiple-output (MIMO) radar, the maximum number of targets which can be uniquely identified, also known as the parameter identifiability, is one of the most basic issues. In this paper, the parameter identifiability ...
- articleJune 2019
Brain Tumor Segmentation Based on Improved Convolutional Neural Network in Combination with Non-quantifiable Local Texture Feature
Journal of Medical Systems (JMSY), Volume 43, Issue 6Pages 1–9https://doi.org/10.1007/s10916-019-1289-2Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis. According to deep learning model, a novel brain tumor segmentation method is developed by integrating fully convolutional neural networks (FCNN) and dense micro-...
- research-articleDecember 2018
FDM-Structured Preamble Optimization for Channel Estimation in MIMO-OQAM/FBMC Systems
IEEE Transactions on Wireless Communications (TWC), Volume 17, Issue 12Pages 8433–8443https://doi.org/10.1109/TWC.2018.2877600In this paper, we propose a preamble optimization method for the frequency-division multiplexing (FDM)-structured preamble in multiple-input multiple-output systems employing offset quadrature amplitude modulation-based filter bank multicarrier. ...