791 to 800 of 2,486 Results
Oct 4, 2024 - S-Lab for Advanced Intelligence
Yue, Zongsheng; Wang, Jianyi; Loy, Chen Change, 2024, "Efficient Diffusion Model for Image Restoration by Residual Shifting", https://doi.org/10.21979/N9/VYPJ0O, DR-NTU (Data), V1
While diffusion-based image restoration (IR) methods have achieved remarkable success, they are still limited by the low inference speed attributed to the necessity of executing hundreds or even thousands of sampling steps. Existing acceleration sampling techniques, though seekin... |
Lim, Haoxiang Desmond, 2024, "Related Data for: Flow characterization of supersonic jets issuing from double-beveled nozzles", https://doi.org/10.21979/N9/WTNLFH, DR-NTU (Data), V1
Schlieren images of Md=1.45 supersonic jet |
Oct 4, 2024 - LIM Haoxiang Desmond
Lim, Haoxiang Desmond, 2024, "Related Data for: Supersonic PIV measurements of over-expanded beveled jets", https://doi.org/10.21979/N9/0SIHAA, DR-NTU (Data), V1
PIV data of over-expanded supersonic jet |
Lim, Haoxiang Desmond, 2024, "Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows", https://doi.org/10.21979/N9/XBIH1S, DR-NTU (Data), V1
Time-resolved schlieren images of Md=1.45 supersonic jets. The perfectly expanded pressure condition is NPR=3.4. |
Lim, Haoxiang Desmond, 2024, "Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows", https://doi.org/10.21979/N9/0J3RVA, DR-NTU (Data), V1
TRPIV of indeterminate-origin (IO) jets at Re=5000, performed in SJTU. |
Oct 3, 2024 - U S VEVEK
Vevek, U S, 2024, "Related Data for: Development of high order WENO schemes for large-eddy simulation of compressible flows in OpenFOAM", https://doi.org/10.21979/N9/TKYQI6, DR-NTU (Data), V1
Raw LES data for NPR=4 supersonic jet from circular nozzle. |
Liu, Zhe, 2024, "High data rate mmWave Techniques for Beyond-5G/6G Smart Drones Communications", https://doi.org/10.21979/N9/GCXKLZ, DR-NTU (Data), V2
Through employing mmWave 5G high-band in UAV platforms, we would like to develop techniques to enable a mmWave element with high data rate and long communication range for smart drone beamforming communication. These techniques will also pave way for future smart drone operating... |
Oct 3, 2024 - S-Lab for Advanced Intelligence
Guo, Zujin; Li, Wei; Loy, Chen Change, 2024, "Generalizable Implicit Motion Modeling for Video Frame Interpolation", https://doi.org/10.21979/N9/EDKWDC, DR-NTU (Data), V1
Motion modeling is critical in flow-based Video Frame Interpolation (VFI). Existing paradigms either consider linear combinations of bidirectional flows or directly predict bilateral flows for given timestamps without exploring favorable motion priors, thus lacking the capability... |
Oct 2, 2024 - S-Lab for Advanced Intelligence
Hu, Runyi; Zhang, Jie; Xu, Ting; Li, Jiwei; Zhang, Tianwei, 2024, "Robust-Wide: Robust Watermarking against Instruction-driven Image Editing", https://doi.org/10.21979/N9/XVTPW9, DR-NTU (Data), V1
Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis of trust and harm the rights of the original... |
Oct 2, 2024 - S-Lab for Advanced Intelligence
Xu, Qianxiong; Liu, Xuanyi; Zhu, Lanyun; Lin, Guosheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2024, "Hybrid Mamba for Few-Shot Segmentation", https://doi.org/10.21979/N9/PHG7NV, DR-NTU (Data), V1
Many few-shot segmentation (FSS) methods use cross attention to fuse support foreground (FG) into query features, regardless of the quadratic complexity. A recent advance Mamba can also well capture intra-sequence dependencies, yet the complexity is only linear. Hence, we aim to... |
