Allbwn ymchwil

Allbwn Ymchwil fesul blwyddyn 2015 2021 2022 2023 2025

• 57 Erthygl
• 6 Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)
• 4 Cyfraniad arall
• 3 Papur
• 3 Mwy
  • 2 Erthygl Adolygu
  • 1 Erthygl olygyddol

Allbwn Ymchwil fesul blwyddyn

Allbwn Ymchwil fesul blwyddyn

Canlyniadau chwilio

• 2022

  FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification

  Zhang, Q., Lai, C., Liu, J., Huang, N. & Han, J., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Press, t. 7339-7348 10 t. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Cyfrol 2022-June).

  Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

  • Reidentification 100%
  • Simulation Mode 60%
  • Networks 40%
  • Person Re-Identification 20%
  • Benchmark 20%
  179 Dyfyniadau (Scopus)

• Increasing Oversampling Diversity for Long-Tailed Visual Recognition

  Xiang, L., Ding, G. & Han, J., 01 Ion 2022, Artificial Intelligence - 1st CAAI International Conference, CICAI 2021, Proceedings. Fang, L., Chen, Y., Zhai, G., Wang, J., Wang, R. & Dong, W. (gol.). Springer Nature, t. 39-50 12 t. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Cyfrol 13069 LNAI).

  Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

  • Classes 100%
  • Networks 50%
  • Generalizability 50%
  • Sampling Technique 50%
  • Benchmark 50%
  3 Dyfyniadau (Scopus)

• Temporal Saliency Query Network for Efficient Video Recognition

  Xia, B., Wang, Z., Wu, W., Wang, H. & Han, J., 22 Hyd 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXIV. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (gol.). t. 741-759 19 t. Chapter 42. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Cyfrol 13694 LNCS).

  Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

  • Classes 100%
  • Networks 50%
  • Events 25%
  • Object Relation 25%
  • Visual Appearance 25%
  14 Dyfyniadau (Scopus)
• 2021

  ABMDRNet: Adaptive-weighted Bi-directional Modality Difference Reduction Network for RGB-T Semantic Segmentation

  Zhang, Q., Zhao, S., Luo, Y., Zhang, D., Huang, N. & Han, J., 22 Maw 2021, (Derbyniwyd/Yn y wasg) IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

  Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

  Mynediad agored

  Ffeil
  194 Wedi eu Llwytho i Lawr (Pure)
• 2020

  Few-Cost Salient Object Detection with Adversarial-Paced Learning

  Zhang, D., Tian, H. & Han, J., 25 Medi 2020, (Derbyniwyd/Yn y wasg) 34th Conference on Neural Information Processing Systems (NeurIPS 2020).

  Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

  Mynediad agored

  Ffeil
  54 Wedi eu Llwytho i Lawr (Pure)

• Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification

  Xiang, L., Ding, G. & Han, J., 29 Hyd 2020, Computer Vision – ECCV 2020 - 16th European Conference, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J.-M. (gol.). Springer Nature, t. 247-263 17 t. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Cyfrol 12350 LNCS).

  Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

  Mynediad agored

  Ffeil

  • Simulation Mode 100%
  • Knowledge Distillation 100%
  • Networks 50%
  • Trained Network 50%
  • Real World 50%
  223 Dyfyniadau (Scopus)

  59 Wedi eu Llwytho i Lawr (Pure)