Generalized intersection over union: A metric and a loss for bounding box regression H Rezatofighi, N Tsoi, JY Gwak, A Sadeghian, I Reid, S Savarese Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 4606 | 2019 |
3d-r2n2: A unified approach for single and multi-view 3d object reconstruction CB Choy, D Xu, JY Gwak, K Chen, S Savarese Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1851 | 2016 |
4d spatio-temporal convnets: Minkowski convolutional neural networks C Choy, JY Gwak, S Savarese Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1560 | 2019 |
Segcloud: Semantic segmentation of 3d point clouds L Tchapmi, C Choy, I Armeni, JY Gwak, S Savarese 2017 international conference on 3D vision (3DV), 537-547, 2017 | 917 | 2017 |
Universal Correspondence Network CB Choy, JY Gwak, S Savarese, M Chandraker arXiv preprint arXiv:1606.03558, 2016 | 428 | 2016 |
3d scene graph: A structure for unified semantics, 3d space, and camera I Armeni, ZY He, JY Gwak, AR Zamir, M Fischer, J Malik, S Savarese Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 277 | 2019 |
Completing 3d object shape from one depth image J Rock, T Gupta, J Thorsen, JY Gwak, D Shin, D Hoiem Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 201 | 2015 |
Weakly supervised 3D Reconstruction with Adversarial Constraint JY Gwak, CB Choy, M Chandraker, A Garg, S Savarese 3D Vision (3DV), 2017 Fifth International Conference on 3D Vision, 2017 | 156* | 2017 |
Deformnet: Free-form deformation network for 3d shape reconstruction from a single image A Kurenkov, J Ji, A Garg, V Mehta, JY Gwak, C Choy, S Savarese 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 858-866, 2018 | 132 | 2018 |
Jrdb: A dataset and benchmark of egocentric robot visual perception of humans in built environments R Martin-Martin, M Patel, H Rezatofighi, A Shenoi, JY Gwak, E Frankel, ... IEEE transactions on pattern analysis and machine intelligence 45 (6), 6748-6765, 2021 | 107* | 2021 |
Jrmot: A real-time 3d multi-object tracker and a new large-scale dataset A Shenoi, M Patel, JY Gwak, P Goebel, A Sadeghian, H Rezatofighi, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 85 | 2020 |
Generative sparse detection networks for 3d single-shot object detection JY Gwak, C Choy, S Savarese Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 81 | 2020 |
Vision-based field inspection of concrete reinforcing bars K Han, J Gwak, M Golparvar-Fard, K Saidi, G Cheok, M Franaszek, ... Proceedings of the 13th International Conference on Construction …, 2013 | 17 | 2013 |
Minkowski tracker: A sparse spatio-temporal r-cnn for joint object detection and tracking JY Gwak, S Savarese, J Bohg arXiv preprint arXiv:2208.10056, 2022 | 8 | 2022 |
Vision-based construction activity analysis in long video sequences via hidden Markov models: Experiments on earthmoving operations D Roberts, M Golparvar-Fard, JC Niebles, JY Gwak, R Bao Construction Research Congress 2018, 164-173, 2018 | 8 | 2018 |
3D model classification using convolutional neural network JY Gwak Report of Stanford University, 2015 | 3 | 2015 |
3D Scene Understanding With Efficient Spatio-Temporal Reasoning JY Gwak Stanford University, 2022 | | 2022 |