1 code implementation • 21 Feb 2024 • Binglu Wang, Chenxi Guo, Yang Jin, Haisheng Xia, Nian Liu
Gaze object prediction aims to predict the location and category of the object that is watched by a human.
1 code implementation • 6 Dec 2023 • Meiyue Song, Zhihua Yu, Jiaxin Wang, Jiarui Wang, Yuting Lu, Baicun Li, Xiaoxu Wang, Qinghua Huang, Zhijun Li, Nikolaos I. Kanellakis, Jiangfeng Liu, Jing Wang, Binglu Wang, Juntao Yang
Yet, this approach often requires optimization of extensive learnable parameters in the text branch and the dialogue head, potentially diminishing the LLMs' efficacy, especially with limited training data.
no code implementations • 26 Oct 2023 • Shi Yan, Yan Liang, Le Zheng, Mingyang Fan, Xiaoxu Wang, Binglu Wang
The optimality of Bayesian filtering relies on the completeness of prior models, while deep learning holds a distinct advantage in learning models from offline data.
no code implementations • 19 Oct 2023 • Jinglei Hao, Wukai Li, Binglu Wang, Shunzhou Wang, Yuting Lu, Ning li, Yongqiang Zhao
Backprojection networks have achieved promising super-resolution performance for nature images but not well be explored in the remote sensing image super-resolution (RSISR) field due to the high computation costs.
1 code implementation • 3 Oct 2023 • Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Smith, Yian Yin, Daniel McFarland, James Zou
We first quantitatively compared GPT-4's generated feedback with human peer reviewer feedback in 15 Nature family journals (3, 096 papers in total) and the ICLR machine learning conference (1, 709 papers).
1 code implementation • ICCV 2023 • Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, Tianfei Zhou
This paper presents CORE, a conceptually simple, effective and communication-efficient model for multi-agent cooperative perception.
no code implementations • 6 Jul 2023 • Yuting Lu, Lingtong Min, Binglu Wang, Le Zheng, Xiaoxu Wang, Yongqiang Zhao, Teng Long
The model incorporates cross-spatial pixel integration attention (CSPIA) to introduce contextual information into a local window, while cross-stage feature fusion attention (CSFFA) adaptively fuses features from the previous stage to improve feature expression in line with the requirements of the current stage.
1 code implementation • CVPR 2022 • Binglu Wang, Tao Hu, Baoshan Li, Xiaojuan Chen, Zhijie Zhang
In this paper, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way.
no code implementations • 7 Dec 2021 • Binglu Wang, Chengzhe Lu, Dawei Yan, Yongqiang Zhao
Secondly, as neighboring pixels exhibit different affinities to the center pixel, we estimate a local attention mask to modulate the influence of neighboring pixels.