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101 to 110 of 303 Results
Jul 1, 2024 - Safe ML
Yuhas, Michael; Rahiminasab, Zahra; Easwaran, Arvind, 2024, "Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder", https://doi.org/10.21979/N9/0YI4HT, DR-NTU (Data), V1
Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder
Coronavirus Neutralizing Antibodies(Nanyang Technological University)
Jun 20, 2024KWOH Chee Keong
Jun 20, 2024 - S-Lab for Advanced Intelligence
Wu, Haoning; Zhang, Erli; Liao, Liang; Chen, Chaofeng; Hou, Jingwen; Wang, Annan; Sun, Wenxiu; Yan, Qiong; Lin, Weisi, 2024, "Replication Data for: Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach", https://doi.org/10.21979/N9/ELWDPE, DR-NTU (Data), V1
A large-scale in-the-wild VQA database, named Maxwell, created to gather more than two million human opinions across 13 specific quality-related factors, including technical distortions e.g. noise, flicker and aesthetic factors e.g. contents.
Jun 20, 2024 - S-Lab for Advanced Intelligence
Wu, Haoning; Zhang, Zicheng; Zhang, Erli; Chen, Chaofeng; Liao, Liang; Wang, Annan; Li, Chunyi; Sun, Wenxiu; Yan, Qiong; Zhai, Guangtao; Lin, Weisi, 2024, "Replication Data for: Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision", https://doi.org/10.21979/N9/M41ERD, DR-NTU (Data), V1
We present Q-Bench, a holistic benchmark crafted to systematically evaluate potential abilities of MLLMs on three realms: low-level visual perception, low-level visual description, and overall visual quality assessment.
Jun 20, 2024 - S-Lab for Advanced Intelligence
Wu, Haoning; Zhang, Zicheng; Zhang, Erli; Chen, Chaofeng; Liao, Liang; Wang, Annan; Xu, Kaixin; Li, Chunyi; Hou, Jingwen; Zhai, Guangtao; Xue, Geng; Sun, Wenxiu; Yan, Qiong; Lin, Weisi, 2024, "Replication Data for: Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models", https://doi.org/10.21979/N9/GPLPNI, DR-NTU (Data), V1
The dataset consisting of human natural language feedback on low-level vision.
LIN Weisi(Nanyang Technological University)
LIN Weisi logo
Jun 12, 2024
Research topics: • Image processing • Perceptual modeling • Video compression • Multimedia communication and computer vision • Computer vision
Jan 23, 2024 - LYU Mingzhi
Lyu, Mingzhi; Huang, Yi; Kong, Adams Wai-Kin, 2024, "Related Data for: Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers", https://doi.org/10.21979/N9/JNH3P4, DR-NTU (Data), V1
This dataset contains the main codes for the paper "Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers", which proposes a method to protect visible watermark on images against deep-learning-based watermark removers.
LYU Mingzhi(Nanyang Technological University)
Jan 23, 2024
Research topics: • Adversarial Examples for Proactively Protecting Images against DeepFake and DeepNude
Jan 23, 2024 - XU Shifeng
Xu, Shifeng; Kong, Adams Wai Kin, 2024, "Basal Cell Carcinoma by Reflectance Confocal Microscopy images", https://doi.org/10.21979/N9/U4FPB1, DR-NTU (Data), V1
Classification on reflectance confocal microscopy images of basal cell carcinoma.
XU Shifeng(Nanyang Technological University)
Jan 23, 2024
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