no code implementations • 15 Apr 2024 • Bonan Ding, Jin Xie, Jing Nie, Jiale Cao
Therefore, an effective solution involves transforming monocular images into LiDAR-like representations and employing a LiDAR-based 3D object detector to predict the 3D coordinates of objects.
1 code implementation • 9 Nov 2023 • Shuyi Xie, Wenlin Yao, Yong Dai, Shaobo Wang, Donlin Zhou, Lifeng Jin, Xinhua Feng, Pengzhi Wei, Yujie Lin, Zhichao Hu, Dong Yu, Zhengyou Zhang, Jing Nie, Yuhong Liu
We construct a hierarchical task tree encompassing 7 major areas covering over 200 categories and over 800 tasks, which covers diverse capabilities such as question answering, reasoning, multiturn dialogue, and text generation, to evaluate LLMs in a comprehensive and in-depth manner.
1 code implementation • journal 2023 • Chukwuemeka Clinton Atabansi, Jing Nie, Haijun Liu, Qianqian Song, Lingfeng Yan, Xichuan Zhou
Transformers have been widely used in many computer vision challenges and have shown the capability of producing better results than convolutional neural networks (CNNs).
no code implementations • 28 Nov 2021 • Aqi Gao, Yanwei Pang, Jing Nie, Jiale Cao, Yishun Guo
The key in our ESGN is an efficient geometry-aware feature generation (EGFG) module.
1 code implementation • 21 Jan 2020 • Dongyun Liang, Guo-Hua Wang, Jing Nie, Binxu Zhai, Xiusen Gu
We propose a system named ROIBase that normalizes the text by the Chinese hierarchical administrative divisions.
1 code implementation • ICCV 2019 • Jing Nie, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao
For a 320x320 input on the MS COCO test-dev, our detector achieves state-of-the-art single-stage detection accuracy with a COCO AP of 33. 2 in the case of single-scale inference, while operating at 21 milliseconds on a Titan XP GPU.
no code implementations • 14 May 2019 • Dongyun Liang, Guo-Hua Wang, Jing Nie
Given the collection of timestamped web documents related to the evolving topic, timeline summarization (TS) highlights its most important events in the form of relevant summaries to represent the development of a topic over time.