| Strategies for re-training a pruned neural network in an edge computing paradigm PS Chandakkar, Y Li, PLK Ding, B Li 2017 IEEE International Conference on Edge Computing (EDGE), 244-247, 2017 | 44 | 2017 |
| MSR-CNN: Applying motion salient region based descriptors for action recognition Z Tu, J Cao, Y Li, B Li 2016 23rd International Conference on Pattern Recognition (ICPR), 3524-3529, 2016 | 31 | 2016 |
| Video2vec: Learning semantic spatio-temporal embeddings for video representation SH Hu, Y Li, B Li 2016 23rd International Conference on Pattern Recognition (ICPR), 811-816, 2016 | 26 | 2016 |
| Recognizing unseen actions in a domain-adapted embedding space Y Li, S Hu, B Li 2016 IEEE International Conference on Image Processing (ICIP), 4195-4199, 2016 | 22 | 2016 |
| Clip4hashing: unsupervised deep hashing for cross-modal video-text retrieval Y Zhuo, Y Li, J Hsiao, C Ho, B Li Proceedings of the 2022 international conference on multimedia retrieval …, 2022 | 12 | 2022 |
| Training neural networks by using power linear units (PoLUs) Y Li, PLK Ding, B Li arXiv preprint arXiv:1802.00212, 2018 | 11 | 2018 |
| Rhyrnn: Rhythmic rnn for recognizing events in long and complex videos T Yu, Y Li, B Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 10 | 2020 |
| Recognizing plans by learning embeddings from observed action distributions Y Zha, Y Li, S Gopalakrishnan, B Li, S Kambhampati arXiv preprint arXiv:1712.01949, 2017 | 8 | 2017 |
| A Dual Modality Approach For (Zero-Shot) Multi-Label Classification S Xu, Y Li, J Hsiao, C Ho, Z Qi arXiv preprint arXiv:2208.09562, 2022 | 7 | 2022 |
| VideoCLIP: A Cross-Attention Model for Fast Video-Text Retrieval Task with Image CLIP CH Yikang Li, Jenhao Hsiao ICMR '22: Proceedings of the 2022 International Conference on Multimedia …, 2022 | 4* | 2022 |
| Language-guided Multi-Modal Fusion for Video Action Recognition J Hsiao, Y Li, C Ho Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Mean local group average precision (mLGAP): a new performance metric for hashing-based retrieval PLK Ding, Y Li, B Li arXiv preprint arXiv:1811.09763, 2018 | 4 | 2018 |
| Recognizing video events with varying rhythms Y Li, T Yu, B Li arXiv preprint arXiv:2001.05060, 2020 | 3 | 2020 |
| Deep learning of determinantal point processes via proper spectral sub-gradient T Yu, Y Li, B Li International Conference on Learning Representations, 2019 | 3 | 2019 |
| Simultaneous event localization and recognition in surveillance video Y Li, T Yu, B Li 2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018 | 3 | 2018 |
| Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder X Lin, Y Li, J Hsiao, C Ho, Y Kong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| VideoXum: Cross-modal Visual and Textural Summarization of Videos J Lin, H Hua, M Chen, Y Li, J Hsiao, C Ho, J Luo arXiv preprint arXiv:2303.12060, 2023 | 1 | 2023 |
| Plan-recognition-driven attention modeling for visual recognition Y Zha, Y Li, T Yu, S Kambhampati, B Li arXiv preprint arXiv:1812.00301, 2018 | 1 | 2018 |
| Pseudo-negative and mutual exclusive loss sampling for multi-label learning Y Li, J Hsiao, C Ho WO Patent WO2023107753A1, 2023 | | 2023 |
| Text-image cross-modal retrieval based on virtual word expansion Y Li, J Hsiao WO Patent WO2023101679A1, 2023 | | 2023 |
Baoxin LiArizona State UniversityVerified email at asu.edu
