Suchergebnisse - "Computer Science - Computer Vision and Pattern Recognition"

T-graph: Enhancing sparse-view camera pose estimation by pairwise translation graph

Autoren: Qingyu Xian Weiqin Jiao Hao Cheng et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 230:109-125

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2505.01207

From open-vocabulary to vocabulary-free semantic segmentation

Autoren: Klara Reichard Giulia Rizzoli Stefano Gasperini et al.

Quelle: Pattern Recognition Letters. 198:14-21

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2502.11891

Text-Guided Coarse-to-Fine Fusion Network for robust remote sensing visual question answering

Autoren: Zhicheng Zhao Changfu Zhou Yu Zhang et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 230:1-17

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2411.15770

Probing Multimodal LLMs as World Models for Driving

Autoren: Shiva Sreeram Tsun-Hsuan Wang Alaa Maalouf et al.

Quelle: IEEE Robotics and Automation Letters. 10:11403-11410

Schlagwörter: FOS: Computer and information sciences, Computer Science - Robotics, Computer Vision and Pattern Recognition (cs.CV), 11. Sustainability, Computer Science - Computer Vision and Pattern Recognition, Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2405.05956

Point Cloud-Based Grasping for Soft Hand Exoskeleton

Autoren: Chen Hu Enrica Tricomi Eojin Rho et al.

Quelle: IEEE Robotics and Automation Letters. 10:11315-11322

Schlagwörter: FOS: Computer and information sciences, Computer Science - Robotics, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2504.03369

Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts

Autoren: Puzuo Wang Wei Yao Jie Shao et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 229:422-435

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2407.06043

MAMBO-NET: Multi-causal aware modeling backdoor-intervention optimization for medical image segmentation network

Autoren: Yu, Ruiguo Zhang, Yiyang Tian, Yuan et al.

Quelle: Pattern Recognition Letters. 197:102-109

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: http://arxiv.org/abs/2505.21874

Deep active learning: A reality check

Autoren: Gashi, Edrina Deng, Jiankang Elezi, Ismail

Quelle: Pattern Recognition Letters. 197:188-194

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2403.14800

Multimodal biometric authentication using camera-based PPG and fingerprint fusion

Autoren: Xue Xian Zheng Bilal Taha Muhammad Mahboob Ur Rahman et al.

Quelle: Pattern Recognition Letters. 197:1-7

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2412.05660

Improving Novel View Synthesis of 360° Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images

Autoren: Chen, Guangan Truong, Anh Minh Lin, Hanhe et al.

Quelle: 2025 IEEE International Conference on Image Processing (ICIP)

Schlagwörter: FOS: Computer and information sciences, Technology and Engineering, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, diffusion model, 3D Gaussian Splatting, extremely sparse views, image enhancement

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2505.19264
https://biblio.ugent.be/publication/01K6ABT31SZZSDBF3J0EWM2YQS/file/01K6AC3VGXZYBPF5V62HBKRR5Y
http://doi.org/10.1109/icip55913.2025.11084363
https://biblio.ugent.be/publication/01K6ABT31SZZSDBF3J0EWM2YQS
http://hdl.handle.net/1854/LU-01K6ABT31SZZSDBF3J0EWM2YQS

Pixels-to-Graph: Real-time Integration of Building Information Models and Scene Graphs for Semantic-Geometric Human-Robot Understanding

Autoren: Antonello Longo Chanyoung Chung Matteo Palieri et al.

Quelle: 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE). :2774-2781

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Robotics, Computer Vision and Pattern Recognition, Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2506.22593
https://hdl.handle.net/11589/289040
http://arxiv.org/abs/2506.22593v1

Completely weakly supervised class-incremental learning for semantic segmentation

Autoren: David Minkwan Kim Soeun Lee Byeongkeun Kang

Quelle: Pattern Recognition Letters. 196:16-23

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2505.10781

Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds

Autoren: Lassi Ruoppa Oona Oinonen Josef Taher et al.

Weitere Verfasser: Lassi Ruoppa Oona Oinonen Josef Taher et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 228:694-722

Schlagwörter: FOS: Computer and information sciences, LiDAR, Computer Vision and Pattern Recognition (cs.CV), Leaf–wood separation, Multispectral point cloud, Computer Science - Computer Vision and Pattern Recognition, Unsupervised deep learning, Airborne laser scanning (ALS), Semantic segmentation

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2502.06227
https://aaltodoc.aalto.fi/handle/123456789/138385

GlossyGS: Inverse Rendering of Glossy Objects With 3D Gaussian Splatting

Autoren: Shuichang Lai Letian Huang Jie Guo et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31:7478-7491

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40031713
http://arxiv.org/abs/2410.13349

Interactive Rendering of Relightable and Animatable Gaussian Avatars

Autoren: Youyi Zhan Tianjia Shao He Wang et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31:8491-8502

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40388271
http://arxiv.org/abs/2407.10707

Guidance disentanglement network for Optics-Guided thermal UAV image super-resolution

Autoren: Zhicheng Zhao Juanjuan Gu Chenglong Li et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 228:64-82

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: http://arxiv.org/abs/2410.20466

Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

Autoren: Hu, Senkang Fang, Zhengru Deng, Yiqin et al.

Quelle: IEEE Wireless Communications. 32:228-234

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2401.01544

ComPtr: Toward Diverse Bi-Source Dense Prediction Tasks via a Simple Yet General Complementary Transformer

Autoren: Youwei Pang Xiaoqi Zhao Lihe Zhang et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:8613-8629

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2307.12349

Flow-Anything: Learning Real-World Optical Flow Estimation From Large-Scale Single-View Images

Autoren: Yingping Liang Ying Fu Yutao Hu et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:8435-8452

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2506.07740

PokeFlex: A Real-World Dataset of Volumetric Deformable Objects for Robotics

Autoren: Jan Obrist Miguel Zamora Hehui Zheng et al.

Quelle: IEEE Robotics and Automation Letters. 10:10586-10593

Schlagwörter: FOS: Computer and information sciences, Computer Science - Robotics, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2410.07688