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Showing results 1 to 8 of 8

Article
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses
  • Jeon, Hae-Gon ; 
  • Im, Sunghoon ; 
  • Lee, Byeong-Uk ; 
  • Rameau, Franc¸ois ; 
  • Choi, Dong-Geol ; 
  • Oh, Jean ; 
  • Kweon, In So ; 
  • Hebert, Martial
  • 2023-06
  • Jeon, Hae-Gon. (2023-06). A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 6766–6782. doi: 10.1109/TPAMI.2021.3094531
  • IEEE Computer Society
  • View : 964
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Article
A Perceptual Visual Feature Extraction Method Achieved by Imitating V1 and V4 of the Human Visual System
  • 2013-12
  • Kim, Sungho. (2013-12). A Perceptual Visual Feature Extraction Method Achieved by Imitating V1 and V4 of the Human Visual System. Cognitive Computation, 5(4), 610–628. doi: 10.1007/s12559-012-9194-8
  • SPRINGER
  • View : 839
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Article
Deep Depth from Uncalibrated Small Motion Clip
  • Im, Sunghoon ; 
  • Ha, Hyowon ; 
  • Jeon, Hae-Gon ; 
  • Lin, Stephen ; 
  • Kweon, In So
  • 2021-04
  • Im, Sunghoon. (2021-04). Deep Depth from Uncalibrated Small Motion Clip. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4), 1225–1238. doi: 10.1109/TPAMI.2019.2946806
  • Institute of Electrical and Electronics Engineers
  • View : 837
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Conference
Facial Depth and Normal Estimation using Single Dual-Pixel Camera
  • Kang, Minjun ; 
  • Choe, Jaesung ; 
  • Ha, Hyowon ; 
  • Jeon, Hae-Gon ; 
  • Im, Sunghoon ; 
  • Kweon, In So ; 
  • Yoon, Kuk-Jin
  • 2022-10-26
  • Kang, Minjun. (2022-10-26). Facial Depth and Normal Estimation using Single Dual-Pixel Camera. European Conference on Computer Vision (poster), 181–200. doi: 10.1007/978-3-031-20074-8_11
  • European Conference on Computer Vision
  • View : 89
  • Download : 0
Article
Feature Point Detection by Combining Advantages of Intensity-based Approach and Edge-based Approach
  • Kim, Sungho ; 
  • Park, Chaehoon ; 
  • Choi, Yukyung ; 
  • Kwon, Soon ; 
  • Kweon, In So
  • 2012
  • Kim, Sungho. (2012). Feature Point Detection by Combining Advantages of Intensity-based Approach and Edge-based Approach.
  • International Journal of Computer, Electrical, Automation, Control and Information Engineering
  • View : 341
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Conference
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
  • Lee, Seokju ; 
  • Im, Sunghoon ; 
  • Lin, Stephen ; 
  • Kweon, In So
  • 2021-02-05
  • Lee, Seokju. (2021-02-05). Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. AAAI Conference on Artificial Intelligence, 1863–1872. doi: 10.1609/aaai.v35i3.16281
  • Association for the Advancement of Artificial Intelligence(AAAI)
  • View : 61
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Article
Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue
  • Lee, Seokju ; 
  • Rameau, Francois ; 
  • Im, Sunghoon ; 
  • Kweon, In So
  • 2022-09
  • Lee, Seokju. (2022-09). Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue. International Journal of Computer Vision, 130(9), 2265–2285. doi: 10.1007/s11263-022-01641-5
  • Springer
  • View : 318
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Conference
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction
  • Choe, Jaesung ; 
  • Im, Sunghoon ; 
  • Rameau, Francois ; 
  • Kang, Minjun ; 
  • Kweon, In So
  • 2021-10-13
  • Choe, Jaesung. (2021-10-13). VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. IEEE International Conference on Computer Vision, 16066–16075. doi: 10.1109/ICCV48922.2021.01578
  • IEEE Computer Society and the Computer Vision Foundation (CVF)
  • View : 161
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