| Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models BA Plummer, L Wang, CM Cervantes, JC Caicedo, J Hockenmaier, ... Proceedings of the IEEE international conference on computer vision, 2641-2649, 2015 | 2310 | 2015 |
| Multi-scale Orderless Pooling of Deep Convolutional Activation Features Y Gong, L Wang, R Guo, S Lazebnik ECCV, 2014 | 1290 | 2014 |
| Learning deep structure-preserving image-text embeddings L Wang, Y Li, S Lazebnik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 967 | 2016 |
| Learning two-branch neural networks for image-text matching tasks L Wang, Y Li, J Huang, S Lazebnik IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 588 | 2018 |
| Bayesian face revisited: a joint formulation D Chen, X Cao, L Wang, F Wen, J Sun Computer Vision–ECCV 2012, 566-579, 2012 | 584 | 2012 |
| Stratified Transformer for 3D Point Cloud Segmentation X Lai, J Liu, L Jiang, L Wang, H Zhao, S Liu, X Qi, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 467 | 2022 |
| A fast and accurate one-stage approach to visual grounding Z Yang, B Gong, L Wang, W Huang, D Yu, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 411 | 2019 |
| Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections Y Gong, L Wang, M Hodosh, J Hockenmaier, S Lazebnik European Conference on Computer Vision(ECCV), 2014 | 380 | 2014 |
| Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network K Xu, L Wang, M Yu, Y Feng, Y Song, Z Wang, D Yu arXiv preprint arXiv:1905.11605, 2019 | 289 | 2019 |
| Improving one-stage visual grounding by recursive sub-query construction Z Yang, T Chen, L Wang, J Luo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 270 | 2020 |
| Semi-supervised Semantic Segmentation with Directional Context-aware Consistency X Lai, Z Tian, L Jiang, S Liu, H Zhao, L Wang, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 267 | 2021 |
| Training Deeper Convolutional Networks with Deep Supervision L Wang, CY Lee, Z Tu, S Lazebnik arXiv, 2015 | 246 | 2015 |
| Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space L Wang, A Schwing, S Lazebnik Advances in Neural Information Processing Systems, 5756-5766, 2017 | 214 | 2017 |
| MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning J Lei, L Wang, Y Shen, D Yu, TL Berg, M Bansal arXiv preprint arXiv:2005.05402, 2020 | 212 | 2020 |
| Fully Convolutional Networks for Panoptic Segmentation Y Li, H Zhao, X Qi, L Wang, Z Li, J Sun, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 209 | 2021 |
| Learnable boundary guided adversarial training J Cui, S Liu, L Wang, J Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 169 | 2021 |
| Fast, diverse and accurate image captioning guided by part-of-speech A Deshpande, J Aneja, L Wang, AG Schwing, D Forsyth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 169 | 2019 |
| Comprehensive image captioning via scene graph decomposition Y Zhong, L Wang, J Chen, D Yu, Y Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 145 | 2020 |
| SAT: 2d semantics assisted training for 3d visual grounding Z Yang, S Zhang, L Wang, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 126 | 2021 |
| Multi-View Transformer for 3D Visual Grounding S Huang, Y Chen, J Jia, L Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 115 | 2022 |
Svetlana LazebnikUniversity of Illinois at Urbana-Champaignillinois.edu의 이메일 확인됨
