DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition

no code implementations • 23 Apr 2024 • Haozhe Cheng, Cheng Ju, Haicheng Wang, Jinxiang Liu, Mengting Chen, Qiang Hu, Xiaoyun Zhang, Yanfeng Wang

The denoised text classes help OVAR models classify visual samples more accurately; in return, classified visual samples help better denoising.

Towards Building Multilingual Language Model for Medicine

1 code implementation • 21 Feb 2024 • Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, Weixiong Lin, Haicheng Wang, Ya zhang, Yanfeng Wang, Weidi Xie

In this paper, we aim to develop an open-source, multilingual language model for medicine, that the benefits a wider, linguistically diverse audience from different regions.

Language Modelling Question Answering

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models

no code implementations • 12 Dec 2023 • Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao

Vision-Language Large Models (VLMs) have become primary backbone of AI, due to the impressive performance.

Constraint and Union for Partially-Supervised Temporal Sentence Grounding

no code implementations • 20 Feb 2023 • Chen Ju, Haicheng Wang, Jinxiang Liu, Chaofan Ma, Ya zhang, Peisen Zhao, Jianlong Chang, Qi Tian

Temporal sentence grounding aims to detect the event timestamps described by the natural language query from given untrimmed videos.

Sentence Temporal Sentence Grounding

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

3 code implementations • 15 Sep 2020 • Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Sung-Ho Bae, Yongwoo Kim, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Eric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, Jiji C. V, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results.

Image Super-Resolution