1 code implementation • arXiv 2024 • Lin Xu, Yilin Zhao, Daquan Zhou, Zhijie Lin, See Kiong Ng, Jiashi Feng
PLLaVA achieves new state-of-the-art performance on modern benchmark datasets for both video question-answer and captioning tasks.
Ranked #1 on Video-based Generative Performance Benchmarking (Correctness of Information) on VideoInstruct
Dense Captioning Video-based Generative Performance Benchmarking +1
1 code implementation • 14 Nov 2023 • Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See Kiong Ng, Jiashi Feng
Large Language Models (LLMs) have marked a significant advancement in the field of natural language processing, demonstrating exceptional capabilities in reasoning, tool usage, and memory.
1 code implementation • 15 Jun 2022 • Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng
However, the anomaly scoring function is not adaptive to the natural variation in reconstruction error across the range of normal samples, which hinders their ability to detect real anomalies.
no code implementations • 3 Feb 2022 • Xian Wei, See Kiong Ng, Tongtong Zhang, Yingjie Liu
SparGE measures similarity by jointly sparse coding and graph embedding.
1 code implementation • 10 Dec 2021 • Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng
This allows us to introduce learnability into local outlier methods, in the form of a neural network, for greater flexibility and expressivity: specifically, we propose LUNAR, a novel, graph neural network-based anomaly detection method.
no code implementations • TACL 2016 • Luu Anh Tuan, Siu Cheung Hui, See Kiong Ng
Taxonomies play an important role in many applications by organizing domain knowledge into a hierarchy of {`}is-a{'} relations between terms.