131 to 140 of 201 Results
Apr 9, 2025 - S-Lab for Advanced Intelligence
Chen, Yongwei; Lan, Yushi; Zhou, Shangchen; Wang, Tengfei; Pan, Xingang, 2025, "SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE", https://doi.org/10.21979/N9/OK5SSQ, DR-NTU (Data), V1
Autoregressive models have demonstrated remarkable success across various fields, from large language models (LLMs) to large multimodal models (LMMs) and 2D content generation, moving closer to artificial general intelligence (AGI). Despite these advances, applying autoregressive... |
Apr 9, 2025 - S-Lab for Advanced Intelligence
Lan, Mengcheng; Chen, Chaofeng; Zhou, Yue; Ke, Yiping; Wang, Xinjiang; Feng, Litong; Zhang, Wayne, 2025, "Text4Seg: Reimagining Image Segmentation as Text Generation", https://doi.org/10.21979/N9/FF4YJY, DR-NTU (Data), V1
Multimodal Large Language Models (MLLMs) have shown exceptional capabilities in vision-language tasks; however, effectively integrating image segmentation into these models remains a significant challenge. In this paper, we introduce Text4Seg, a novel text-as-mask paradigm that c... |
Apr 8, 2025 - Elinor Siwan MEREDITH
Meredith, Elinor Siwan; Jenkins, Susanna F.; Hayes, Josh L.; Lallemant, David; Deligne, Natalia I.; Teng, Natalie R. X., 2025, "Related Data for: Lava flow impacts on the built environment: insights from a new global dataset", https://doi.org/10.21979/N9/VP7DTN, DR-NTU (Data), V1, UNF:6:u8RrB6WO/nnqyMUS2x+s5g== [fileUNF]
Lava flow impact events |
Apr 4, 2025 - XU Zheng
Zheng, Xu; Chong, Yidong, 2025, "Replication Data for: Noise constraints for nonlinear exceptional point sensing", https://doi.org/10.21979/N9/PQGFFS, DR-NTU (Data), V1
Julia codes and numerical data for the paper "Noise constraints for nonlinear exceptional point sensing" |
Apr 1, 2025 - Environmentally-Engaged Artistic Practices in South, Southeast Asia and the Pacific and their potential impact as contribution for transdisciplinary research in Singapore
Bauer, Ute Meta, 2025, "Climates. Habitats. Environments. Database", https://doi.org/10.21979/N9/S8ZTAB, DR-NTU (Data), V1
The Environmentally-Engaged Artistic Practices in South, Southeast Asia and the Pacific Database aspires to provide a comprehensive and rich data source for artists, climate scientists, and policymakers on the artistic practices of artists and collectives from the South, Southeas... |
Mar 31, 2025 - Xinwen MIAO
Miao, Xinwen, 2025, "Related Data for: CHIKV nsP1 manuscript", https://doi.org/10.21979/N9/INZ1S1, DR-NTU (Data), V1, UNF:6:7Vk6bDjP8u0GdZl2dr1MkA== [fileUNF]
This dataset include the data for CHIKV nsP1 manuscript |
Mar 25, 2025 - Shirley HO
Ho, Shirley S., 2025, "Facing plastic waste through virtual reality (VR): using narratives to promote plastic recycling behaviours among youths", https://doi.org/10.21979/N9/NPXDEY, DR-NTU (Data), V1, UNF:6:HFNTT3aSCa9f+dWlbNl/Yg== [fileUNF]
Cleaned Data from VR experiments, including measures & codebook |
Mar 22, 2025 - Ruchi CHOUDHARY
Choudhary, Ruchi, 2025, "Replication Data for: Confocal images of optodroplet system of various c-MYC constructs", https://doi.org/10.21979/N9/DUJJ55, DR-NTU (Data), V1
This data contains raw confocal images of optodroplet system of various c-MYC constructs as well as negative and positive controls. |
Mar 20, 2025 - Weng Ngai LAM
Lam, Weng Ngai, 2025, "Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types", https://doi.org/10.21979/N9/U9KAIH, DR-NTU (Data), V1, UNF:6:NKr4dLKhdZeTkrAyseNURw== [fileUNF]
Tree inventory, tree wood densities, litterfall production, and litter trait data. |
Mar 19, 2025 - S-Lab for Advanced Intelligence
Jin, Daisheng; Hu, Jiangbei; Xu, Baixin; Dai, Yuxin; Qian, Chen; He, Ying, 2025, "SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images", https://doi.org/10.21979/N9/3DCDXV, DR-NTU (Data), V1
In this study, we introduce a novel two-stage technique for decomposing and reconstructing facial features from sparse-view images, a task made challenging by the unique geometry and complex skin reflectance of each individual. To synthesize 3D facial models more realistically, w... |
