| Binding touch to everything: Learning unified multimodal tactile representations F Yang, C Feng, Z Chen, H Park, D Wang, Y Dou, Z Zeng, X Chen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 38 | 2024 |
| Toward sustainable hpc: Carbon footprint estimation and environmental implications of hpc systems B Li, R Basu Roy, D Wang, S Samsi, V Gadepally, D Tiwari Proceedings of the International Conference for High Performance Computing …, 2023 | 38 | 2023 |
| Divide and conquer: Text semantic matching with disentangled keywords and intents Y Zou, H Liu, T Gui, J Wang, Q Zhang, M Tang, H Li, D Wang arXiv preprint arXiv:2203.02898, 2022 | 32 | 2022 |
| Wordepth: Variational language prior for monocular depth estimation Z Zeng, D Wang, F Yang, H Park, S Soatto, D Lao, A Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 22 | 2024 |
| On the viability of monocular depth pre-training for semantic segmentation D Lao, F Yang, D Wang, H Park, S Lu, A Wong, S Soatto European Conference on Computer Vision, 340-357, 2024 | 8 | 2024 |
| Neurobind: Towards unified multimodal representations for neural signals F Yang, C Feng, D Wang, T Wang, Z Zeng, Z Xu, H Park, P Ji, H Zhao, Y Li, ... arXiv preprint arXiv:2407.14020, 2024 | 6 | 2024 |
| Rsa: Resolving scale ambiguities in monocular depth estimators through language descriptions Z Zeng, Y Wu, H Park, D Wang, F Yang, S Soatto, D Lao, BW Hong, ... arXiv preprint arXiv:2410.02924, 2024 | 3 | 2024 |
| Priordiffusion: Leverage language prior in diffusion models for monocular depth estimation Z Zeng, J Ni, D Wang, P Rim, Y Chung, F Yang, BW Hong, A Wong arXiv preprint arXiv:2411.16750, 2024 | 1 | 2024 |
| Efficient Interactive 3D Multi-Object Removal J Ni, W Zhao, D Wang, Z Zeng, C You, A Wong, K Huang arXiv preprint arXiv:2501.17636, 2025 | | 2025 |
| On the Viability of Monocular Depth Pre-training for Semantic Segmentation: Supplementary Material D Lao, F Yang, D Wang, H Park, S Lu, A Wong, S Soatto | | |
