61 to 70 of 298 Results
Oct 8, 2024 - S-Lab for Advanced Intelligence
Huang, Ziqi; Wu, Tianxing; Jiang, Yuming; Chan, Kelvin C. K.; Liu, Ziwei, 2024, "Replication Data for: ReVersion: Diffusion-Based Relation Inversion from Images", https://doi.org/10.21979/N9/UWSAXU, DR-NTU (Data), V1
A replication of the ReVersion Benchmark, for the paper "ReVersion: Diffusion-Based Relation Inversion from Images". |
Oct 8, 2024 - S-Lab for Advanced Intelligence
Xie, Binzhu; Zhang, Sicheng; Zhou, Zitang; Li, Bo; Zhang, Yuanhan; Hessel, Jack; Yang, Jingkang; Liu, Ziwei, 2024, "FunQA: Towards Surprising Video Comprehension", https://doi.org/10.21979/N9/SMR703, DR-NTU (Data), V1
Surprising videos, e.g., funny clips, creative performances, or visual illusions, attract significant attention. Enjoyment of these videos is not simply a response to visual stimuli; rather, it hinges on the human capacity to understand (and appreciate) commonsense violations dep... |
Oct 8, 2024 - S-Lab for Advanced Intelligence
Yang, Jingkang; Dong, Yuhao; Liu, Shuai; Li, Bo; Wang, Ziyue; Jiang, Chencheng; Tan, Haoran; Kang, Jiamu; Zhang, Yuanhan; Zhou, Kaiyang; Liu, Ziwei, 2024, "Octopus: Embodied Vision-Language Programmer from Environmental Feedback", https://doi.org/10.21979/N9/9EIB8X, DR-NTU (Data), V1
Large vision-language models (VLMs) have achieved substantial progress in multimodal perception and reasoning. Furthermore, when seamlessly integrated into an embodied agent, it signifies a crucial stride towards the creation of autonomous and context-aware systems capable of for... |
Oct 7, 2024 - S-Lab for Advanced Intelligence
Ma, Yubo; Zang, Yuhang; Chan, Liangyu; Chen, Meiqi; Jiao, Yizhu; Li, Xinze; Lu Xinyuan; Liu, Ziyu; Ma, Yan; Dong, Xiaoyi; Zhang, Pan; Pan, Liangming; Jiang, Yu-Gang; Wang, Jiaqi; Cao, Yixin; Sun, Aixin, 2024, "Replication Data for: MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations", https://doi.org/10.21979/N9/IMVWT4, DR-NTU (Data), V1
Understanding documents with rich layouts and multi-modal components is a long-standing and practical task. Recent Large Vision-Language Models (LVLMs) have made remarkable strides in various tasks, particularly in single-page document understanding (DU). However, their abilities... |
Oct 5, 2024 - Narendra VISHWAKARMA
Vishwakarma, Narendra; R., Swaminathan; Premanand, Rithwik; Sharma, Shubha; Madhukumar, A. S., 2024, "Related Data for: RIS-assisted hybrid FSO/THz system with diversity combining schemes: A performance analysis", https://doi.org/10.21979/N9/A7QMG1, DR-NTU (Data), V1
MATLAB source code the publication title: "RIS-assisted hybrid FSO/THz system with diversity combining schemes: A performance analysis" These code will produce the outage probability and Bit error rate with asymptotic plots for the above paper |
Oct 5, 2024 - Narendra VISHWAKARMA
Shubha, Sharma; Madhukumar, A. S., 2024, "Related Data for: On the Performance of Hybrid THz/FSO System", https://doi.org/10.21979/N9/EYMYLG, DR-NTU (Data), V1
MATLAB source code the publication title: "On the Performance of Hybrid THz/FSO System" These code will produce the outage probability plots for the above paper |
Oct 5, 2024 - Narendra VISHWAKARMA
Vishwakarma, Narendra; Swaminathan, R.; Diamantoulakis, Panagiotis D.; Karagiannidis, George K., 2024, "Related Data for: Performance Analysis of Optical Reflecting Surface-Assisted Optical Space Shift Keying-Based MIMO-FSO System", https://doi.org/10.21979/N9/O1GICV, DR-NTU (Data), V1
This paper proposes an optical reflecting surface (ORS)-assisted free space optics (FSO) communication system based on the optical space shift keying (OSSK) technique. Closed-form expressions for the probability density function (PDF) and moment generating function (MGF) of the s... |
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... |
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... |
