1 code implementation • 20 Aug 2024 • Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma
Recent advancements in large language models (LLMs) have showcased impressive code generation capabilities, primarily evaluated through language-to-code benchmarks.
1 code implementation • 13 Aug 2024 • Guozhen Peng, Yunhong Wang, Yuwei Zhao, Shaoxiong Zhang, Annan Li
Recently, some Convolution Neural Networks (ConvNets) based methods have been proposed to address the issue of gait recognition in the wild.
1 code implementation • 13 Jan 2022 • Shaoxiong Zhang, Yunhong Wang, Tianrui Chai, Annan Li, Anil K. Jain
Given that our experimental results show that current gait recognition approaches designed under data collected in controlled scenarios are inappropriate for real surveillance scenarios, we propose a novel gait recognition method, called RealGait.
no code implementations • CVPR 2022 • Tianrui Chai, Annan Li, Shaoxiong Zhang, Zilong Li, Yunhong Wang
Gait is considered the walking pattern of human body, which includes both shape and motion cues.
no code implementations • 6 Nov 2021 • Jiahao Wang, Yunhong Wang, Nina Weng, Tianrui Chai, Annan Li, Faxi Zhang, Sansi Yu
Therefore, virality prediction from dance challenges is of great commercial value and has a wide range of applications, such as smart recommendation and popularity promotion.
no code implementations • 16 Aug 2021 • Tianrui Chai, ZhiYuan Chen, Annan Li, Jiaxin Chen, Xinyu Mei, Yunhong Wang
Video-based person re-identification (Re-ID) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task.
1 code implementation • 15 Aug 2021 • Jiahao Wang, Yunhong Wang, Sheng Liu, Annan Li
Fine-grained action recognition is attracting increasing attention due to the emerging demand of specific action understanding in real-world applications, whereas the data of rare fine-grained categories is very limited.
1 code implementation • 12 Aug 2021 • Tianrui Chai, Xinyu Mei, Annan Li, Yunhong Wang
Gait recognition under multiple views is an important computer vision and pattern recognition task.
no code implementations • CVPR 2021 • Shaoxiong Zhang, Yunhong Wang, Annan Li
Furthermore, a novel framework based on convolutional variational autoencoder and deep Koopman embedding is proposed to approximate the Koopman operators, which is used as dynamical features from the linearized embedding space for cross-view gait recognition.
1 code implementation • ACL 2021 • Yaojie Lu, Hongyu Lin, Jin Xu, Xianpei Han, Jialong Tang, Annan Li, Le Sun, Meng Liao, Shaoyi Chen
Event extraction is challenging due to the complex structure of event records and the semantic gap between text and event.
Ranked #3 on
Event Extraction
on ACE2005
1 code implementation • SEMEVAL 2020 • Yaojie Lu, Annan Li, Hongyu Lin, Xianpei Han, Le Sun
ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence.
2 code implementations • 13 Jun 2020 • Zhiyuan Chen, Annan Li, Shilu Jiang, Yunhong Wang
Video-based person re-identification (Re-ID) is an important computer vision task.
no code implementations • 17 Jan 2019 • Zhiyuan Chen, Annan Li, Yunhong Wang
In this paper, we first tackle the problem of pedestrian attribute recognition by video-based approach.
no code implementations • ECCV 2018 • Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc van Gool
Group activity recognition plays a fundamental role in a variety of applications, e. g. sports video analysis and intelligent surveillance.
no code implementations • 29 Mar 2018 • Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc van Gool
Specifically, instead of learning explicit projections or adding fully-connected mapping layers, the proposed Adversarial Binary Coding (ABC) framework guides the extraction of binary codes implicitly and effectively.
no code implementations • 29 Jul 2015 • Annan Li, Shiguang Shan, Xilin Chen, Bingpeng Ma, Shuicheng Yan, Wen Gao
We argue that one of the diffculties in this problem is the severe misalignment in face images or feature vectors with different poses.