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Publication search results
found 1,519 matches
- 2024
- Nirav P. Patel, Vivek K. Patel, Dharmendra S. Sharma:
Towards reduction of bending-extension coupling in unsymmetrical laminates using multi-objective heat transfer search. Eng. Appl. Artif. Intell. 127(Part A): 107209 (2024) - Jin Zhang, Yanjiao Shi, Jinyu Yang, Qianqian Guo:
KD-SCFNet: Towards more accurate and lightweight salient object detection via knowledge distillation. Neurocomputing 572: 127206 (2024) - Bilgin Metin, Sefa Duran, Eda Telli, Meltem Mutlutürk, Martin George Wynn:
IT Risk Management: Towards a System for Enhancing Objectivity in Asset Valuation That Engenders a Security Culture. Inf. 15(1): 55 (2024) - Nesrine Harbaoui, Khoder Makkawi, Nourdine Ait Tmazirte, Maan El Badaoui El Najjar:
Context Adaptive Fault Tolerant Multi-sensor fusion: Towards a Fail-Safe Multi Operational Objective Vehicle Localization. J. Intell. Robotic Syst. 110(1): 26 (2024) - Anfel Amirat, Lamine Benrais, Nadia Baha:
Towards exploiting believe function theory for object based scene classification problem. Multim. Tools Appl. 83(13): 39235-39253 (2024) - Rishabh Gupta, Lucas Goldstone, Shira Eisen, Dhanesh Ramachandram, Amy Cassata, Robert D. J. Fraser, Jose L. Ramirez-Garcialuna, Robert Bartlett, Justin Allport:
Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing. IEEE J. Biomed. Health Informatics 28(2): 666-677 (2024) - Zhenyu Wang, Yunzhou Zhang, Yan Liu, Cao Qin, Sonya A. Coleman, Dermot Kerr:
LARNet: Towards Lightweight, Accurate and Real-Time Salient Object Detection. IEEE Trans. Multim. 26: 5207-5222 (2024) - Yi Ke Yun, Weisi Lin:
Towards a Complete and Detail-Preserved Salient Object Detection. IEEE Trans. Multim. 26: 4667-4680 (2024) - Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo:
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. AAAI 2024: 1335-1343 - Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao:
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. AAAI 2024: 11811-11819 - Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He:
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. AAAI 2024: 8417-8426 - Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim:
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. AAAI 2024: 2883-2891 - Liu Liu, Anran Huang, Qi Wu, Dan Guo, Xun Yang, Meng Wang:
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking. AAAI 2024: 3684-3692 - Tianhao Lu, Chao Bian, Chao Qian:
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms. AAAI 2024: 20777-20785 - Ruofan Wang, Rui-Wei Zhao, Xiaobo Zhang, Rui Feng:
Towards Evidential and Class Separable Open Set Object Detection. AAAI 2024: 5572-5580 - Boris Glavic, Pengyuan Li, Ziyu Liu, Dieter Gawlick, Vasudha Krishnaswamy, Danica Porobic, Zhen Hua Liu:
Towards an Objective Metric for Data Value Through Relevance. CIDR 2024 - Virgile Foussereau, Iori Kumagai, Guillaume Caron:
Towards Retail Stores Automation: 6-DOF Pose Estimation Combining Deep Learning Object Detection and Dense Depth Alignment. SII 2024: 934-940 - Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann:
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. VISIGRAPP (2): VISAPP 2024: 366-374 - Joshua Feinglass, Yezhou Yang:
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding. WACV 2024: 4385-4395 - Shen Zheng, Changjie Lu, Srinivasa G. Narasimhan:
TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain. WACV 2024: 5382-5391 - Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. CoRR abs/2401.01563 (2024) - Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao:
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network. CoRR abs/2401.01912 (2024) - Victor Rodríguez-Fernández, Sumiyajav Sarangerel, Peng Mun Siew, Pablo Machuca, Daniel Jang, Richard Linares:
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions. CoRR abs/2401.04212 (2024) - Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim:
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. CoRR abs/2401.06159 (2024) - Jeonghwan Kim, Jisoo Kim, Jeonghyeon Na, Hanbyul Joo:
ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions. CoRR abs/2401.10232 (2024) - Lynn Vonder Haar, Timothy Elvira, Luke Newcomb, Omar Ochoa:
Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions. CoRR abs/2401.10790 (2024) - Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie:
Towards Category Unification of 3D Single Object Tracking on Point Clouds. CoRR abs/2401.11204 (2024) - Julie Tores, Lucile Sassatelli, Hui-Yin Wu, Clement Bergman, Lea Andolfi, Victor Ecrement, Frédéric Precioso, Thierry Devars, Magali Guaresi, Virginie Julliard, Sarah Lecossais:
Visual Objectification in Films: Towards a New AI Task for Video Interpretation. CoRR abs/2401.13296 (2024) - Lei Yang, Xinyu Zhang, Jun Li, Li Wang, Chuang Zhang, Li Ju, Zhiwei Li, Yang Shen:
Towards Scenario Generalization for Vision-based Roadside 3D Object Detection. CoRR abs/2401.16110 (2024) - Yuxuan Kuang, Hai Lin, Meng Jiang:
OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models. CoRR abs/2402.10670 (2024)
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