no code implementations • 27 May 2025 • Hao Li, He Cao, Bin Feng, Yanjun Shao, Xiangru Tang, Zhiyuan Yan, Li Yuan, Yonghong Tian, Yu Li
While large language models (LLMs) with Chain-of-Thought (CoT) reasoning excel in mathematics and coding, their potential for systematic reasoning in chemistry, a domain demanding rigorous structural analysis for real-world tasks like drug design and reaction engineering, remains untapped.
1 code implementation • 26 May 2025 • Juntong Wu, Zijing Liu, He Cao, Hao Li, Bin Feng, Zishan Shu, Ke Yu, Li Yuan, Yu Li
In recent years, protein-text models have gained significant attention for their potential in protein generation and understanding.
no code implementations • 25 Apr 2025 • Maodong Li, Jiying Zhang, Bin Feng, Wenqi Zeng, Dechin Chen, Zhijun Pan, Yu Li, Zijing Liu, Yi Isaac Yang
We propose an enhanced sampling strategy to efficiently implement the drug-protein dissociation process in MD simulations and estimate the free energy surface (FES).
1 code implementation • 21 Feb 2025 • Bin Feng, Shulan Ruan, Mingzheng Yang, Dongxuan Han, Huijie Liu, Kai Zhang, Qi Liu
As more and more internet users post images online to express their daily emotions, image sentiment analysis has attracted increasing attention.
no code implementations • 23 Jan 2025 • Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
This enhancement increases context capacity and enables the model to capture richer semantic information, effectively mitigating the corrupted semantics problem during pre-training.
no code implementations • 11 Jan 2025 • Bin Feng, Meng Zheng, Wei Liang, Lei Zhang
In this paper, we propose a generalizable deep neural network model for indoor pathloss radio map prediction (termed as IPP-Net).
no code implementations • 7 Dec 2024 • Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
SMILES, a crucial textual representation of molecular structures, has garnered significant attention as a foundation for pre-trained language models (LMs).
no code implementations • 8 Oct 2024 • Ru Lei, Lin Li, Rustam Stolkin, Bin Feng
To effectively track the changes in the PS and PF in both decision and objective spaces, we propose an adaptive prediction strategy that incorporates second-order derivatives to predict and adjust the algorithms search behavior.
1 code implementation • 21 Sep 2024 • Shuai Zhang, Guanjun Wu, Xinggang Wang, Bin Feng, Wenyu Liu
In this paper, we propose a novel representation that can reconstruct accurate meshes from sparse image input, named Dynamic 2D Gaussians (D-2DGS).
no code implementations • 17 Jul 2024 • Haijun Xiong, Bin Feng, Xinggang Wang, Wenyu Liu
Gait recognition is a biometric technology that distinguishes individuals by their walking patterns.
no code implementations • 18 Jun 2024 • Yunze Deng, Haijun Xiong, Bin Feng
Gait recognition is a biometric technology that identifies individuals by using walking patterns.
no code implementations • 13 Jun 2024 • Zhengqi Zhao, Xiaohu Huang, Hao Zhou, Kun Yao, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng
The key to action counting is accurately locating each video's repetitive actions.
2 code implementations • 6 Dec 2023 • Jiayi Pan, Chengcan Wang, Kaifu Zheng, Yangguang Li, Zhenyu Wang, Bin Feng
Our results show that, with SmoothQuant+, the Code Llama-34B model can be quantized and deployed on a A100 40GB GPU, achieving lossless accuracy and a throughput increase of 1. 9 to 4. 0 times compared to the FP16 model deployed on two A100 40GB GPUs.
1 code implementation • 13 Aug 2023 • Xiaohu Huang, Xinggang Wang, Zhidianqiu Jin, Bo Yang, Botao He, Bin Feng, Wenyu Liu
Graph convolutional networks have been widely applied in skeleton-based gait recognition.
1 code implementation • 31 May 2023 • Haijun Xiong, Yunze Deng, Bin Feng, Xinggang Wang, Wenyu Liu
Gait recognition, a growing field in biological recognition technology, utilizes distinct walking patterns for accurate individual identification.
no code implementations • 29 Mar 2023 • Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang
How to automatically synthesize natural-looking dance movements based on a piece of music is an incrementally popular yet challenging task.
1 code implementation • 26 Jan 2023 • Xiaohu Huang, Hao Zhou, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng
In this paper, we propose a graph contrastive learning framework for skeleton-based action recognition (\textit{SkeletonGCL}) to explore the \textit{global} context across all sequences.
Ranked #18 on
Skeleton Based Action Recognition
on NTU RGB+D
no code implementations • ICCV 2021 • Duowang Zhu, Xiaohu Huang, Xinggang Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng
Although gait recognition has drawn increasing research attention recently, since the silhouette differences are quite subtle in spatial domain, temporal feature representation is crucial for gait recognition.
Ranked #3 on
Gait Recognition
on OUMVLP
1 code implementation • 22 Jun 2021 • Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Ying Shan, Bin Feng, Wenyu Liu
Recently, query based deep networks catch lots of attention owing to their end-to-end pipeline and competitive results on several fundamental computer vision tasks, such as object detection, semantic segmentation, and instance segmentation.
5 code implementations • ICCV 2021 • Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu
The key insight of QueryInst is to leverage the intrinsic one-to-one correspondence in object queries across different stages, as well as one-to-one correspondence between mask RoI features and object queries in the same stage.
Ranked #13 on
Object Detection
on COCO-O
1 code implementation • ICCV 2021 • Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu
For temporal information modeling in VIS, we present a novel crossover learning scheme that uses the instance feature in the current frame to pixel-wisely localize the same instance in other frames.
Ranked #29 on
Video Instance Segmentation
on YouTube-VIS validation
1 code implementation • 17 Jul 2020 • Jiwei Xu, Xinggang Wang, Bin Feng, Wenyu Liu
Text-independent speaker verification is an important artificial intelligence problem that has a wide spectrum of applications, such as criminal investigation, payment certification, and interest-based customer services.
no code implementations • 9 Jul 2020 • Changxu Cheng, Wuheng Xu, Xiang Bai, Bin Feng, Wenyu Liu
Chinese text recognition is more challenging than Latin text due to the large amount of fine-grained Chinese characters and the great imbalance over classes, which causes a serious overfitting problem.
no code implementations • 9 Dec 2019 • Changxu Cheng, Qiuhui Huang, Xiang Bai, Bin Feng, Wenyu Liu
Script identification in the wild is of great importance in a multi-lingual robust-reading system.