The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 1278 | 2024 |
Deepglobe 2018: A challenge to parse the earth through satellite images I Demir, K Koperski, D Lindenbaum, G Pang, J Huang, S Basu, F Hughes, ... Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 IEEE …, 2018 | 1041 | 2018 |
Mask textspotter v3: Segmentation proposal network for robust scene text spotting M Liao, G Pang, J Huang, T Hassner, X Bai Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 226 | 2020 |
Improved road connectivity by joint learning of orientation and segmentation A Batra, S Singh, G Pang, S Basu, CV Jawahar, M Paluri Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 217 | 2019 |
Long video generation with time-agnostic vqgan and time-sensitive transformer S Ge, T Hayes, H Yang, X Yin, G Pang, D Jacobs, JB Huang, D Parikh European Conference on Computer Vision, 102-118, 2022 | 197 | 2022 |
img2pose: Face alignment and detection via 6dof, face pose estimation V Albiero, X Chen, X Yin, G Pang, T Hassner Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 164 | 2021 |
Textocr: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text A Singh, G Pang, M Toh, J Huang, W Galuba, T Hassner Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 161 | 2021 |
Three-dimensional point processing and model generation U Neumann, S You, QIU Rongqi, P Guan, J Huang, L Nocera US Patent 9,472,022, 2016 | 103 | 2016 |
From Satellite Imagery to Disaster Insights J Doshi, S Basu, G Pang Neural Information Processing Systems (NIPS) AI for Social Good Workshop, 2018 | 90 | 2018 |
Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery S Singh, A Batra, G Pang, L Torresani, S Basu, M Paluri, CV Jawahar British Machine Vision Conference (BMVC), 2018 | 81 | 2018 |
3D point cloud object detection with multi-view convolutional neural network G Pang, U Neumann 2016 23rd International Conference on Pattern Recognition (ICPR), 585-590, 2016 | 77 | 2016 |
The llama 3 herd of models, 2024 A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... URL https://arxiv. org/abs/2407.21783 2407, 21783, 0 | 75 | |
Textstylebrush: transfer of text aesthetics from a single example P Krishnan, R Kovvuri, G Pang, B Vassilev, T Hassner IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 9122-9134, 2023 | 62 | 2023 |
A multiplexed network for end-to-end, multilingual OCR J Huang, G Pang, R Kovvuri, M Toh, KJ Liang, P Krishnan, X Yin, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 59 | 2021 |
Training-based object recognition in cluttered 3d point clouds G Pang, U Neumann 2013 International Conference on 3D Vision-3DV 2013, 87-94, 2013 | 45 | 2013 |
Automatic 3d industrial point cloud modeling and recognition G Pang, R Qiu, J Huang, S You, U Neumann 2015 14th IAPR international conference on machine vision applications (MVA …, 2015 | 43 | 2015 |
The llama 3 herd of models L Team arXiv preprint arXiv:2407.21783, 2024 | 41 | 2024 |
Fast and robust multi-view 3d object recognition in point clouds G Pang, U Neumann 2015 International Conference on 3D Vision, 171-179, 2015 | 38 | 2015 |
Mugen: A playground for video-audio-text multimodal understanding and generation T Hayes, S Zhang, X Yin, G Pang, S Sheng, H Yang, S Ge, Q Hu, D Parikh European Conference on Computer Vision, 431-449, 2022 | 28 | 2022 |
Movie gen: A cast of media foundation models A Polyak, A Zohar, A Brown, A Tjandra, A Sinha, A Lee, A Vyas, B Shi, ... arXiv preprint arXiv:2410.13720, 2024 | 25 | 2024 |