Detection recovery in online multi-object tracking with sparse graph tracker J Hyun, M Kang, D Wee, DY Yeung Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 62 | 2023 |
Regularization on spatio-temporally smoothed feature for action recognition J Kim, S Cha, D Wee, S Bae, J Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 32 | 2020 |
Decomposed cross-modal distillation for rgb-based temporal action detection P Lee, T Kim, M Shim, D Wee, H Byun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
Exploring temporally dynamic data augmentation for video recognition T Kim, J Kim, M Shim, S Yun, M Kang, D Wee, S Lee arXiv preprint arXiv:2206.15015, 2022 | 13 | 2022 |
Read: Reciprocal attention discriminator for image-to-video re-identification M Shim, HI Ho, J Kim, D Wee European Conference on Computer Vision, 335-350, 2020 | 12 | 2020 |
An efficient human instance-guided framework for video action recognition I Lee, D Kim, D Wee, S Lee Sensors 21 (24), 8309, 2021 | 10 | 2021 |
Self-supervised monocular depth estimation with isometric-self-sample-based learning G Cha, HD Jang, D Wee IEEE Robotics and Automation Letters 8 (4), 2173-2180, 2022 | 6 | 2022 |
You Only Train Once: Multi-Identity Free-Viewpoint Neural Human Rendering from Monocular Videos J Kim, D Wee, D Xu arXiv preprint arXiv:2303.05835, 2023 | 5 | 2023 |
Learning from dances: pose-invariant re-identification for multi-person tracking HI Ho, M Shim, D Wee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
Frequency selective augmentation for video representation learning J Kim, T Kim, M Shim, D Han, D Wee, J Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1124-1132, 2023 | 3 | 2023 |
Spatiotemporal augmentation on selective frequencies for video representation learning J Kim, T Kim, M Shim, D Han, D Wee, J Kim arXiv preprint arXiv:2204.03865 3, 2022 | 3 | 2022 |
Motion-oriented compositional neural radiance fields for monocular dynamic human modeling J Kim, D Wee, D Xu European Conference on Computer Vision, 476-493, 2024 | 2 | 2024 |
Sefd: learning to distill complex pose and occlusion CH Yang, K Kong, SJ Min, D Wee, HD Jang, G Cha, SJ Kang Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 2 | 2023 |
MEEV: Body Mesh Estimation On Egocentric Video N Monet, D Wee arXiv preprint arXiv:2210.14165, 2022 | 2 | 2022 |
A Simple Baseline with Single-encoder for Referring Image Segmentation S Yu, I Jung, B Han, T Kim, Y Kim, D Wee, J Son arXiv preprint arXiv:2408.15521, 2024 | 1 | 2024 |
Masked Autoencoder for Unsupervised Video Summarization M Shim, T Kim, J Kim, D Wee arXiv preprint arXiv:2306.01395, 2023 | 1 | 2023 |
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos C Choi, J Kim, G Cha, M Kim, D Wee, YM Kim arXiv preprint arXiv:2412.19089, 2024 | | 2024 |
CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images J Lee, S Cho, T Kim, HD Jang, M Lee, G Cha, D Wee, D Lee, S Lee arXiv preprint arXiv:2412.16028, 2024 | | 2024 |
Classification Matters: Improving Video Action Detection with Class-Specific Attention J Lee, T Kim, I Lee, M Shim, D Wee, M Cho, S Kwak European Conference on Computer Vision, 450-467, 2024 | | 2024 |
Regularizing Dynamic Radiance Fields with Kinematic Fields W Im, G Cha, S Lee, J Lee, J Seon, D Wee, SE Yoon European Conference on Computer Vision, 312-328, 2024 | | 2024 |