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Publication Year: 2024

191 to 200 of 349 Results

BSEWWT Littering Study 1 Jun 25, 2024 - Sonny Ben ROSENTHAL Rosenthal, Sonny Ben, 2024, "BSEWWT Littering Study 1", https://doi.org/10.21979/N9/3IBJNJ, DR-NTU (Data), V1, UNF:6:b7wFW06re6XVsbrSHzMbwg== [fileUNF] Study of littering funded by NRF
Perceived media literacy as a moderator of third-person perception Jun 25, 2024 - Sonny Ben ROSENTHAL Rosenthal, Sonny Ben, 2024, "Perceived media literacy as a moderator of third-person perception", https://doi.org/10.21979/N9/EQJEGP, DR-NTU (Data), V1, UNF:6:LCoHWVcsEqJujahMNIreGA== [fileUNF] This was a study on third-person perception
Edex Grant 1 Study 1 Jun 25, 2024 - Sonny Ben ROSENTHAL Rosenthal, Sonny Ben, 2024, "Edex Grant 1 Study 1", https://doi.org/10.21979/N9/0KBHPD, DR-NTU (Data), V1, UNF:6:8ClKluQp3kEYZa8WOaklhw== [fileUNF] Data from
Sonny Ben ROSENTHAL(Nanyang Technological University) Jun 25, 2024Wee Kim Wee School of Communication and Information (WKWSCI) Appointment: Associate Professor (Former) Research topics: • Environmental communication, public understanding of science, media effects, media psychology, research methods, scale development
QIN Xiaosheng (Nanyang Technological University) Jun 25, 2024School of Civil and Environmental Engineering (CEE) Appointment: Associate Professor Research topics: • Water resources and flood risk management • Surface water quality modeling and control • Climate change impact assessment and adaptation planning • Groundwater modeling, risk assessment and site remediation • Air quality control...
Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement Jun 25, 2024 - Marcos Kong, Tian Fook; Shen, Xinhui; Marcos, 2024, "Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement", https://doi.org/10.21979/N9/F88FRJ, DR-NTU (Data), V2, UNF:6:Eisq+s88jDM0K2spDYE2PA== [fileUNF] Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement
Coronavirus Neutralizing Antibodies(Nanyang Technological University) Jun 20, 2024KWOH Chee Keong
Replication Data for: Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach 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.
Replication Data for: Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision 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.
Replication Data for: Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models 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.

BSEWWT Littering Study 1

Jun 25, 2024 - Sonny Ben ROSENTHAL

Rosenthal, Sonny Ben, 2024, "BSEWWT Littering Study 1", https://doi.org/10.21979/N9/3IBJNJ, DR-NTU (Data), V1, UNF:6:b7wFW06re6XVsbrSHzMbwg== [fileUNF]

Study of littering funded by NRF

Perceived media literacy as a moderator of third-person perception

Jun 25, 2024 - Sonny Ben ROSENTHAL

Rosenthal, Sonny Ben, 2024, "Perceived media literacy as a moderator of third-person perception", https://doi.org/10.21979/N9/EQJEGP, DR-NTU (Data), V1, UNF:6:LCoHWVcsEqJujahMNIreGA== [fileUNF]

This was a study on third-person perception

Edex Grant 1 Study 1

Jun 25, 2024 - Sonny Ben ROSENTHAL

Rosenthal, Sonny Ben, 2024, "Edex Grant 1 Study 1", https://doi.org/10.21979/N9/0KBHPD, DR-NTU (Data), V1, UNF:6:8ClKluQp3kEYZa8WOaklhw== [fileUNF]

Data from

Sonny Ben ROSENTHAL(Nanyang Technological University)

Jun 25, 2024Wee Kim Wee School of Communication and Information (WKWSCI)

Appointment: Associate Professor (Former) Research topics: • Environmental communication, public understanding of science, media effects, media psychology, research methods, scale development

QIN Xiaosheng (Nanyang Technological University)

Jun 25, 2024School of Civil and Environmental Engineering (CEE)

Appointment: Associate Professor Research topics: • Water resources and flood risk management • Surface water quality modeling and control • Climate change impact assessment and adaptation planning • Groundwater modeling, risk assessment and site remediation • Air quality control...

Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement

Jun 25, 2024 - Marcos

Kong, Tian Fook; Shen, Xinhui; Marcos, 2024, "Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement", https://doi.org/10.21979/N9/F88FRJ, DR-NTU (Data), V2, UNF:6:Eisq+s88jDM0K2spDYE2PA== [fileUNF]

Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement

Coronavirus Neutralizing Antibodies(Nanyang Technological University)

Jun 20, 2024KWOH Chee Keong

Replication Data for: Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach

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.

Replication Data for: Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

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.

Replication Data for: Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models

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.

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