Tianfei Zhou

Research output

Research output per year 2014 2021 2022 2023 2024

• 27 Conference contribution
• 26 Article
• 6 Conference article

Research output per year

Research output per year

Search results

• 2023

  Core: Cooperative Reconstruction for Multi-Agent Perception

  Wang, B., Zhang, L., Wang, Z., Zhao, Y. & Zhou, T., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. Institute of Electrical and Electronics Engineers Inc., p. 8676-8686 11 p. (Proceedings of the IEEE International Conference on Computer Vision).

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

  Open Access

  • multi agent 100%
  • Image Segmentation 33%
  • Art Performance 33%
  • 3D Object Detection 33%
  • Major Component 33%
  16 Citations (Scopus)

• Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation

  Li, L., Wang, W., Zhou, T., Li, J. & Yang, Y., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 18706-18716 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

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

  Open Access

  • Discriminative Feature 100%
  • Representation Learning 100%
  • Architecture Design 100%
  • Segmentation Label 100%
  • Youtube 100%
  10 Citations (Scopus)
• 2022

  Deep Hierarchical Semantic Segmentation

  Li, L., Zhou, T., Wang, W., Li, J. & Yang, Y., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 1236-1247 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

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

  Open Access

  • Image Segmentation 100%
  • Class Hierarchy 25%
  • Human Perception 12%
  • Network Architecture 12%
  • Classification Task 12%
  95 Citations (Scopus)

• Detail-Preserving Transformer for Light Field Image Super-resolution

  Wang, S., Zhou, T., Lu, Y. & Di, H., 30 Jun 2022, AAAI-22 Technical Tracks 3. Association for the Advancement of Artificial Intelligence, p. 2522-2530 9 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

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

  • State of the Art 100%
  • High Resolution 100%
  • Self-Attention 100%
  • Feature Representation 100%
  • Locale 100%
  82 Citations (Scopus)

• Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning

  Li, L., Zhou, T., Wang, W., Yang, L., Li, J. & Yang, Y., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 8709-8720 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

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

  Open Access

  • Video Reconstruction 100%
  33 Citations (Scopus)

• Multi-Granular Semantic Mining for Weakly Supervised Semantic Segmentation

  Zhang, M., Li, J. & Zhou, T., 10 Oct 2022, MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia. Association for Computing Machinery, Inc, p. 6019-6028 10 p. (MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia).

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

  • Graph Neural Network 100%
  • Weakly-Supervised Semantic Segmentation 100%
  • Semantic Concept 50%
  • Experimental Result 25%
  • Image Segmentation 25%
  4 Citations (Scopus)

• Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

  Zhou, T., Zhang, M., Zhao, F. & Li, J., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 4289-4299 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

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

  Open Access

  • Relational Context 100%
  88 Citations (Scopus)

• Rethinking Semantic Segmentation: A Prototype View

  Zhou, T., Wang, W., Konukoglu, E. & Van Goo, L., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 2572-2583 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

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

  Open Access

  • Image Segmentation 100%
  • Segmentation Model 66%
  • Residual Neural Network 33%
  • Network Design 33%
  • Embedding Space 33%
  202 Citations (Scopus)

• Visual Abductive Reasoning

  Liang, C., Wang, W., Zhou, T. & Yang, Y., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 15544-15554 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

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

  Open Access

  • Computer Vision Literature 100%
  30 Citations (Scopus)
• 2021

  Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing

  Zhou, T., Wang, W., Liu, S., Yang, Y. & Van Gool, L., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 1622-1631 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

  Open Access

  • Representation Learning 100%
  • Granularity 100%
  • Parsing 100%
  • Image Segmentation 33%
  • Greedy Algorithm 33%
  75 Citations (Scopus)

• Exploring Cross-Image Pixel Contrast for Semantic Segmentation

  Wang, W., Zhou, T., Yu, F., Dai, J., Konukoglu, E. & Van Gool, L., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 7283-7293 11 p. (Proceedings of the IEEE International Conference on Computer Vision).

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

  Open Access

  • Optimization Criterion 100%
  • Optical Character Recognition 100%
  339 Citations (Scopus)

• Face Forensics in the Wild

  Zhou, T., Wang, W., Liang, Z. & Shen, J., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 5774-5784 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

  • Forgery Detection 100%
  • Generalization Ability 33%
  • Multiple Instance 33%
  • Instance Learning 33%
  • Quality Assessment 33%
  62 Citations (Scopus)

• Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

  Li, X., Zhou, T., Li, J., Zhou, Y. & Zhang, Z., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 1984-1992 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 3A).

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

  • Weakly-Supervised Semantic Segmentation 100%
  • Annotation 66%
  • Deep Learning 33%
  • Attention (Machine Learning) 33%
  • Image Segmentation 33%
  78 Citations (Scopus)

• Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification

  Zhou, Y., Huang, L., Zhou, T. & Shao, L., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 768-776 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 1).

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

  • Pattern Languages 100%
  • Label Distribution 100%
  6 Citations (Scopus)

• Quality-Aware Memory Network for Interactive Volumetric Image Segmentation

  Zhou, T., Li, L., Bredell, G., Li, J. & Konukoglu, E., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 560-570 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12902 LNCS).

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

  Open Access

  • Image Segmentation 100%
  • Quality Assessment 100%
  • Experimental Result 50%
  • Annotation 50%
  • Active Learning 50%
  13 Citations (Scopus)

• Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation

  Zhou, T., Li, J., Li, X. & Shao, L., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 6981-6990 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

  Open Access

  • Appearance Model 100%
  • Convolutional Neural Network 50%
  • Youtube 50%
  • segmentation accuracy 50%
  • Reidentification 50%
  37 Citations (Scopus)
• 2020

  Motion-attentive transition for zero-shot video object segmentation

  Zhou, T., Wang, S., Zhou, Y., Yao, Y., Li, J. & Shao, L., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 13066-13073 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

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

  • Motion Information 100%
  • Youtube 100%
  • Object Representation 100%
  152 Citations (Scopus)

• Video Object Segmentation with Episodic Graph Memory Networks

  Lu, X., Wang, W., Danelljan, M., Zhou, T., Shen, J. & Van Gool, L., 2020, Computer Vision – ECCV 2020 - 16th European Conference 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J.-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 661-679 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12348 LNCS).

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

  Open Access

  • Segmentation Model 100%
  • Visual Informations 50%
  • Memory Design 50%
  • Gradient Descent 50%
  • Segmentation Task 50%
  161 Citations (Scopus)

• Weakly Supervised 3D Object Detection from Lidar Point Cloud

  Meng, Q., Wang, W., Zhou, T., Shen, J., Van Gool, L. & Dai, D., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J.-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 515-531 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12358 LNCS).

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

  Open Access

  • Point Cloud 100%
  • 3D Object Detection 100%
  • Object Detector 66%
  • Training Data 66%
  • Annotation 66%
  61 Citations (Scopus)

• Web-supervised network with softly update-drop training for fine-grained visual classification

  Zhang, C., Yao, Y., Liu, H., Xie, G. S., Shu, X., Zhou, T., Zhang, Z., Shen, F. & Tang, Z., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 12781-12788 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

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

  • Expert Knowledge 100%
  51 Citations (Scopus)
• 2018

  Automatic foreground seeds discovery for robust video saliency detection

  Zhang, L., Lu, Y. & Zhou, T., 2018, Advances in Multimedia Information Processing – PCM 2017 - 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers. Zeng, B., Li, H., Huang, Q., El Saddik, A., Jiang, S. & Fan, X. (eds.). Springer Verlag, p. 89-97 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10736 LNCS).

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

  • Saliency Detection 100%
  • Appearance Cue 50%

• Spectral context matching for video object segmentation under occlusion

  Shi, X., Lu, Y., Zhou, T. & Lei, X., 2018, Advances in Multimedia Information Processing – PCM 2017 - 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers. Zeng, B., Li, H., Huang, Q., El Saddik, A., Jiang, S. & Fan, X. (eds.). Springer Verlag, p. 337-346 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10736 LNCS).

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

  • Experimental Result 100%
  • Update Mechanism 100%
  • Context Information 100%
  • Graphical Model 100%
  • Handle Occlusion 100%
• 2017

  Learning to generate video object segment proposals

  Li, J., Zhou, T. & Lu, Y., 28 Aug 2017, 2017 IEEE International Conference on Multimedia and Expo, ICME 2017. IEEE Computer Society, p. 787-792 6 p. 8019535. (Proceedings - IEEE International Conference on Multimedia and Expo).

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

  • Entire Sequence 100%
  4 Citations (Scopus)
• 2016

  Instance significance guided multiple instance boosting for robust visual tracking

  Liu, J., Lu, Y. & Zhou, T., 3 Aug 2016, 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings. IEEE Computer Society, p. 1694-1698 5 p. 7532647. (Proceedings - International Conference on Image Processing, ICIP; vol. 2016-August).

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

  Open Access

  • Multiple Instance 100%
  • Weak Classifier 66%
  • Instance Learning 66%
  • Classifier 33%
  3 Citations (Scopus)

• Video object segmentation aggregation

  Zhou, T., Lu, Y., Di, H. & Zhang, J., 25 Aug 2016, 2016 IEEE International Conference on Multimedia and Expo, ICME 2016. IEEE Computer Society, 7552891. (Proceedings - IEEE International Conference on Multimedia and Expo; vol. 2016-August).

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

  Open Access

  • Segmentation Performance 100%
  • Majority Voting 100%
  • Appearance Model 100%
  • Energy Minimisation 100%
  • Temporal Information 100%
  10 Citations (Scopus)
• 2015

  Graph regularized discriminant analysis and its application to face recognition

  Zhou, T., Lu, Y. & Zhang, Y., 9 Dec 2015, 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, p. 2020-2024 5 p. 7351155. (Proceedings - International Conference on Image Processing, ICIP; vol. 2015-December).

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

  • Global Structure 100%
  • Face Image 100%
  • Intrinsic Structure 100%
  • face recognition algorithm 50%
  2 Citations (Scopus)

• Spatio-temporal context for more accurate dense point trajectories estimation

  Shi, Q., Lu, Y. & Zhou, T., 20 Jan 2015, Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014. Institute of Electrical and Electronics Engineers Inc., p. 256-259 4 p. 7016895. (Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014).

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

  • Consecutive Frame 100%
  2 Citations (Scopus)