| Range Loss for Deep Face Recognition with Long-tailed Training Data X Zhang, Z Fang, Y Wen, Z Li, Y Qiao Proceedings of the International Conference on Computer Vision (ICCV), 2017 …, 2017 | 520 | 2017 |
| SEED: Self-supervised Distillation For Visual Representation Z Fang, J Wang, L Wang, L Zhang, Y Yang, Z Liu International Conference on Learning Representations (ICLR), 2021, 2021 | 221 | 2021 |
| ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language Z Wang, Z Fang, J Wang, Y Yang Conference on European Conference On Computer Vision (ECCV), 2020, 2020 | 179 | 2020 |
| A Multi-Resolution Approach for Spinal Metastasis Detection using Deep Siamese Neural Networks J Wang, Z Fang, N Lang, H Yuan, M Su, P Baldi Computers in Biology and Medicine 84 (C), 137-146, 2017 | 147 | 2017 |
| Injecting Semantic Concepts into End-to-End Image Captioning Z Fang, J Wang, X Hu, L Liang, Z Gan, L Wang, Y Yang, Z Liu Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 112 | 2022 |
| Compressing Visual-linguistic Model via Knowledge Distillation Z Fang, J Wang, X Hu, L Wang, Y Yang, Z Liu Proceedings of the International Conference on Computer Vision (ICCV), 2021, 2021 | 92 | 2021 |
| Video2commonsense: Generating Commonsense Descriptions to Enrich Video Captioning Z Fang, T Gokhale, P Banerjee, C Baral, Y Yang Empirical Methods in Natural Language Processing (EMNLP), 2020, 2020 | 71 | 2020 |
| Modularized Textual Grounding for Counterfactual Resilience Z Fang, S Kong, C Fowlkes, Y Yang Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 6378-6388, 2019 | 36 | 2019 |
| Weak Supervision and Referring Attention for Temporal-textual Association Learning Z Fang, S Kong, Z Wang, C Fowlkes, Y Yang arXiv preprint arXiv:2006.11747, 2020 | 21 | 2020 |
| End-to-end Knowledge Retrieval with Multi-modal Queries M Luo, Z Fang, T Gokhale, Y Yang, C Baral (ACL'23) The 61st Annual Meeting of the Association for Computational …, 2023 | 17 | 2023 |
| A Behavior Mining Based Hybrid Recommender System Z Fang, L Zhang, K Chen 2016 IEEE International Conference on Big Data Analysis (ICBDA), 1-5, 2017 | 16* | 2017 |
| Text-to-image Editing by Image Information Removal Z Zhang, J Zheng, JZ Fang, BA Plummer IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024, 2023 | 12 | 2023 |
| Weakly Supervised Attention Learning for Textual Phrases Grounding Z Fang, S Kong, Y Tianshu, Y Yang 2018 CVPRW on Vision and Language, 2018 | 10 | 2018 |
| Blocksworld revisited: Learning and Reasoning to Generate Event-sequences From Image Pairs T Gokhale, S Sampat, Z Fang, Y Yang, C Baral arXiv preprint arXiv:1905.12042, 2019 | 8 | 2019 |
| Knowledge Distillation Across Vision and Language Z Fang, Y Yang Advancements in Knowledge Distillation: Towards New Horizons of Intelligent …, 2023 | 7 | 2023 |
| Cooking with Blocks: A Recipe for Visual Reasoning on Image-pairs T Gokhale, S Sampat, Z Fang, Y Yang, C Baral Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 6 | 2019 |
| Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation Y Chang, Y Zhang, Z Fang, Y Wu, Y Bisk, F Gao Conference on European Conference On Computer Vision (ECCV), 2024, 2024 | 3 | 2024 |
| Zero-shot controllable image-to-video animation via motion decomposition S Yu, JZ Fang, S Zheng, G Sigurdsson, V Ordonez, R Piramuthu, ... ACM Multimedia 2024, 2024 | 3 | 2024 |
| E-ViLM: Efficient Video-language Model via Masked Video Modeling with Semantic Vector-quantized Tokenizer Z Fang, S Zheng, V Sharma, R Piramuthu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| How Do Large Multimodal Models Really Fare in Classical Vision Few-Shot Challenges? A Deep Dive Q Guo, P Wanigasekara, J Zheng, JZ Fang, X Deng, C Tao R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023 | 1 | 2023 |
Yezhou (YZ) YangSchool of Computing and AI, Arizona State UniversityVerified email at asu.edu
