| Binary generative adversarial networks for image retrieval J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen Proceedings of the AAAI Conference on Artificial Intelligence 32, 2018 | 233 | 2018 |
| Unified Binary Generative Adversarial Network for Image Retrieval and Compression. J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen International Journal of Computer Vision 128 (8), 2243-2264, 2020 | 65 | 2020 |
| Deep region hashing for efficient large-scale instance search from images J Song, T He, L Gao, X Xu, HT Shen Proceedings of the AAAI Conference on Artificial Intelligence 32, 2017 | 45 | 2017 |
| Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning T He, L Gao, J Song, YF Li European Conference on Computer Vision (ECCV) 2022, 2022 | 37 | 2022 |
| Learning from the scene and borrowing from the rich: Tackling the long tail in scene graph generation T He, L Gao, J Song, J Cai, YF Li International Joint Conference on Artificial Intelligence (IJCAI-20), 2020 | 37 | 2020 |
| Exploiting Scene Graphs for Human-Object Interaction Detection T He, L Gao, J Song, YF Li International Conference on Computer Vision (ICCV), 15984-15993, 2021 | 30 | 2021 |
| One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network T He, YF Li, L Gao, D Zhang, J Song International Joint Conference on Artificial Intelligence (IJCAI-19), 2019 | 13 | 2019 |
| State-aware compositional learning toward unbiased training for scene graph generation T He, L Gao, J Song, YF Li IEEE Transactions on Image Processing 32, 43-56, 2022 | 12 | 2022 |
| SNEQ: Semi-supervised attributed network embedding with attention-based quantisation T He, L Gao, J Song, X Wang, K Huang, Y Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4091-4098, 2020 | 10 | 2020 |
| Deep discrete hashing with self-supervised pairwise labels J Song, T He, H Fan, L Gao Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 10 | 2017 |
| Toward a Unified Transformer-Based Framework for Scene Graph Generation and Human-Object Interaction Detection T He, L Gao, J Song, YF Li IEEE Transactions on Image Processing 32, 6274-6288, 2023 | 6 | 2023 |
| Semantic compositional learning for low-shot scene graph generation T He, L Gao, J Song, J Cai, YF Li arXiv preprint arXiv:2108.08600, 2021 | 6 | 2021 |
| Semisupervised network embedding with differentiable deep quantization T He, L Gao, J Song, YF Li IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4791-4802, 2021 | 5 | 2021 |
| Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning T He, T Wu, D Zhang, G Duan, K Qin, YF Li arXiv preprint arXiv:2401.14626, 2024 | 2 | 2024 |
| Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation T He, L Gao, J Song, YF Li Information Sciences, 2023 | 1* | 2023 |
| VQA and visual reasoning: An overview of approaches, datasets, and future direction R ZAKARI, JW Owusu, K Qin, H Wang, ZK Lawal, T He Datasets, and Future Direction, 2023 | 1 | 2023 |
| MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality R Dai, Y Tan, L Mo, T He, K Qin, S Liang arXiv preprint arXiv:2409.04693, 2024 | | 2024 |
| CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution D Zhang, S Liang, T He, J Shao, K Qin IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | | 2024 |
| Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation M Li, D Zhang, T He, X Xie, YF Li, K Qin ACM Multimedia 2024, 2024 | | 2024 |
| Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries Z Yang, X Liu, D Ouyang, G Duan, D Zhang, T He, YF Li ACM Multimedia 2024, 0 | | |
