Guangyu Ren

Research output

Research output per year 2020 2020 2022 2023 2023

• 11 Conference Proceeding
• 4 Article

Research output per year

Research output per year

Search results

• 2023

  Adaptive Anchor Label Propagation for Transductive Few-Shot Learning

  Lazarou, M., Avrithis, Y., Ren, G. & Stathaki, T., 2023, 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings. IEEE Computer Society, p. 331-335 5 p. (Proceedings - International Conference on Image Processing, ICIP).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Inference Method 100%
  • Existing Label 100%

• Adaptive Anchor Label Propagation for Transductive Few-Shot Learning

  Lazarou, M., Avrithis, Y., Ren, G. & Stathaki, T., 2023, 2023 IEEE International Conference on Image Processing (ICIP).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

• Towards automated polyp segmentation using weakly-and semi-supervised learning and deformable transformers

  Ren, G., Lazarou, M., Yuan, J. & Stathaki, T., 2023, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

• Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers

  Ren, G., Lazarou, M., Yuan, J. & Stathaki, T., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, p. 4355-4364 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Semisupervised Learning 100%
  • Polyp Segmentation 100%
  • Superior Performance 20%
  • Image Segmentation 20%
  • False Positive 20%
  7 Citations (Scopus)
• 2022

  Adaptive Intra-Group Aggregation for Co-Saliency Detection

  Ren, G., Dai, T. & Stathaki, T., 2022, ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

• ADAPTIVE INTRA-GROUP AGGREGATION FOR CO-SALIENCY DETECTION

  Ren, G., Dai, T. & Stathaki, T., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2520-2524 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  • Saliency Detection 100%
  • image feature 100%
  • Feature Individual 100%
  • Training Phase 100%
  • Salient Object Detection 100%
  7 Citations (Scopus)

• Dynamic Knowledge Distillation with Noise Elimination for RGB-D Salient Object Detection

  Ren, G., Yu, Y., Liu, H. & Stathaki, T., Aug 2022, In: Sensors. 22, 16, 6188.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • RGB-D Salient Object Detection 100%
  • Elimination Method 50%
  3 Citations (Scopus)

• NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

  Perez-Pellitero, E., Catley-Chandar, S., Shaw, R., Leonardis, A., Timofte, R., Zhang, Z., Liu, C., Peng, Y., Lin, Y., Yu, G., Zhang, J., Ma, Z., Wang, H., Chen, X., Wang, X., Wu, H., Liu, L., Dong, C., Zhou, J., Yan, Q., & 73 othersZhang, S., Chen, W., Liu, Y., Zhang, Z., Zhang, Y., Shi, J. Q., Gong, D., Zhu, D., Sun, M., Chen, G., Hu, Y., Li, H., Zou, B., Liu, Z., Lin, W., Jiang, T., Jiang, C., Li, X., Han, M., Fan, H., Sun, J., Liu, S., Marin-Vega, J., Sloth, M., Schneider-Kamp, P., Rottger, R., Li, C., Bao, L., He, G., Xu, Z., Xu, L., Zhan, G., Sun, M., Wen, X., Li, J., Li, J., Li, C., Gang, R., Li, F., Liu, C., Feng, S., Lei, F., Liu, R., Ruan, J., Dai, T., Li, W., Lu, Z., Liu, H., Huang, P., Ren, G., Luo, Y., Liu, C., Tu, Q., Li, F., Gang, R., Li, C., Li, J., Ma, S., Liu, C., Cao, Y., Tel, S., Heyrman, B., Ginhac, D., Lee, C., Kim, G., Park, S., Vien, A. G., Thanh Nhat Mai, T., Yoon, H., Vo, T., Holston, A., Zaheer, S. & Park, C. Y., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022. IEEE Computer Society, p. 1008-1022 15 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2022-June).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Complexity 100%
  • Image Analysis 100%
  • Image Restoration 100%
  • Image Enhancement 100%
  • Imaging 100%
  29 Citations (Scopus)

• Progressive multi-scale fusion network for RGB-D salient object detection

  Ren, G., Xie, Y., Dai, T. & Stathaki, T., 2022, In: Computer Vision and Image Understanding.

  Research output: Contribution to journal › Article › peer-review

  5 Citations (Scopus)
• 2021

  Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay

  Dai, T., Liu, H., Arulkumaran, K., Ren, G. & Bharath, A. A., 2021, PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Proceedings. Pham, D. N., Theeramunkong, T., Governatori, G. & Liu, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 32-45 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13033 LNAI).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Transitions 100%
  • Robotics 100%
  • Robot 50%
  • Learning Algorithm 50%
  • Deep Reinforcement Learning 50%
  10 Citations (Scopus)

• PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification

  Zhao, J., Qi, F., Ren, G. & Xu, L., 2021, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  21 Citations (Scopus)
• 2020

  Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection

  Liu, T., Huang, J-J., Dai, T., Ren, G. & Stathaki, T., 2020, ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

• Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection

  Liu, T., Huang, J. J., Dai, T., Ren, G. & Stathaki, T., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3867-3871 5 p. 9054437. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Feature Extraction Network 100%
  • Convolutional Layer 100%
  • Feature Extraction 100%
  • Convolutional Neural Network 50%
  • Feature Dimension 50%
  8 Citations (Scopus)

• Salient object detection combining a self-attention module and a feature pyramid network

  Ren, G., Dai, T., Barmpoutis, P. & Stathaki, T., Oct 2020, In: Electronics (Switzerland). 9, 10, p. 1-13 13 p., 1702.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Dilution 100%
  • Receptive Field 100%
  • Multiscale Pyramid 50%
  10 Citations (Scopus)

• Salient Object Detection Combining a Self-Attention Module and a Feature Pyramid Network

  Ren, G., Dai, T., Barmpoutis, P. & Stathaki, T., 2020, In: Electronics.

  Research output: Contribution to journal › Article › peer-review