1 code implementation • 19 Aug 2017 • Sibo Zhang, Yuan Cheng, Deyuan Ke
The local event detection is to use posting messages with geotags on social networks to reveal the related ongoing events and their locations.
no code implementations • 21 May 2018 • Yuan Cheng, Guangya Li, Hai-Bao Chen, Sheldon X. -D. Tan, Hao Yu
As it requires a huge number of parameters when exposed to high dimensional inputs in video detection and classification, there is a grand challenge to develop a compact yet accurate video comprehension at terminal devices.
no code implementations • 9 Nov 2019 • Tong Wang, Fujie Jin, Yu, Hu, Yuan Cheng
The prediction model and the interpretable insights can be applied to assist fundraisers with better promoting their fundraising campaigns and can potentially help crowdfunding platforms to provide more timely feedback to all fundraisers.
no code implementations • 28 Feb 2020 • Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong
The emerging edge computing has promoted immense interests in compacting a neural network without sacrificing much accuracy.
no code implementations • 4 Nov 2020 • Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu
Real-time understanding in video is crucial in various AI applications such as autonomous driving.
1 code implementation • ACL 2021 • Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
In recent years, conversational recommender system (CRS) has received much attention in the research community.
1 code implementation • 12 May 2021 • Yuan Cheng, Yanbo Xue
Click-through rate (CTR) prediction is a critical problem in web search, recommendation systems and online advertisement displaying.
no code implementations • CVPR 2021 • Furong Xu, Meng Wang, Wei zhang, Yuan Cheng, Wei Chu
Therefore, there is a need for a training mechanism that enforces the discriminativeness of all the elements in the feature to capture more the subtle visual cues.
no code implementations • 9 Dec 2021 • Wen Li, Furong Xu, Jianan Zhao, Ruobing Zheng, Cheng Zou, Meng Wang, Yuan Cheng
Triplet loss is a widely adopted loss function in ReID task which pulls the hardest positive pairs close and pushes the hardest negative pairs far away.
1 code implementation • CVPR 2022 • Sifeng He, Xudong Yang, Chen Jiang, Gang Liang, Wei zhang, Tan Pan, Qing Wang, Furong Xu, Chunguang Li, Jingxiong Liu, Hui Xu, Kaiming Huang, Yuan Cheng, Feng Qian, Xiaobo Zhang, Lei Yang
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset.
no code implementations • 10 Mar 2022 • Yun Xiang, Qijun Chen, Zhongjin Su, Lu Zhang, Zuohui Chen, Guozhi Zhou, Zhuping Yao, Qi Xuan, Yuan Cheng
Cherry tomato (Solanum Lycopersicum) is popular with consumers over the world due to its special flavor.
1 code implementation • CVPR 2022 • Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie
Scene Graph Generation, which generally follows a regular encoder-decoder pipeline, aims to first encode the visual contents within the given image and then parse them into a compact summary graph.
Ranked #1 on Unbiased Scene Graph Generation on Visual Genome (mR@20 metric)
no code implementations • 24 Mar 2022 • Liyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang, Yuan Cheng, Meng Wang, Chuanhe Liu, Qin Jin
In this paper, we briefly introduce our submission to the Valence-Arousal Estimation Challenge of the 3rd Affective Behavior Analysis in-the-wild (ABAW) competition.
no code implementations • 25 Mar 2022 • Haiyang Sun, Zheng Lian, Bin Liu, Ying Li, Licai Sun, Cong Cai, JianHua Tao, Meng Wang, Yuan Cheng
Speech emotion recognition (SER) is an important research topic in human-computer interaction.
no code implementations • 13 Jun 2022 • Yuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang
To the best of our knowledge, this is the first theoretical study that characterizes the benefit of representation learning in exploration-based reward-free multitask RL for both upstream and downstream tasks.
no code implementations • 4 Jul 2022 • Cheng Zou, Furong Xu, Meng Wang, Wen Li, Yuan Cheng
Automatic snake species recognition is important because it has vast potential to help lower deaths and disabilities caused by snakebites.
1 code implementation • 5 Aug 2022 • Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
To evaluate our approach, we introduce a dataset with 3 different physical exercises.
1 code implementation • 28 Feb 2023 • Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu
In this paper, we propose a Diverse and Compact Transformer (DC-Former) that can achieve a similar effect by splitting embedding space into multiple diverse and compact subspaces.
no code implementations • 20 Mar 2023 • Yuan Cheng, Ruiquan Huang, Jing Yang, Yingbin Liang
In this work, we first provide the first known sample complexity lower bound that holds for any algorithm under low-rank MDPs.
1 code implementation • CVPR 2023 • Tan Pan, Furong Xu, Xudong Yang, Sifeng He, Chen Jiang, Qingpei Guo, Feng Qian Xiaobo Zhang, Yuan Cheng, Lei Yang, Wei Chu
For traditional model upgrades, the old model will not be replaced by the new one until the embeddings of all the images in the database are re-computed by the new model, which takes days or weeks for a large amount of data.
2 code implementations • 22 Jun 2023 • Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi, Hao Li
Over the past few years, due to the rapid development of machine learning (ML) models for weather forecasting, state-of-the-art ML models have shown superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)'s high-resolution forecast (HRES) in 10-day forecasts at a spatial resolution of 0. 25 degree.
no code implementations • 20 Sep 2023 • Chen Jiang, Kaiming Huang, Sifeng He, Xudong Yang, Wei zhang, Xiaobo Zhang, Yuan Cheng, Lei Yang, Qing Wang, Furong Xu, Tan Pan, Wei Chu
SSAN is based on two newly proposed modules in video retrieval: (1) An efficient Self-supervised Keyframe Extraction (SKE) module to reduce redundant frame features, (2) A robust Similarity Pattern Detection (SPD) module for temporal alignment.
1 code implementation • 20 Sep 2023 • Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi
We thereby present a new Triplet Partial Margin Contrastive Learning (TPM-CL) module to construct partial order triplet samples by automatically generating fine-grained hard negatives for matched text-video pairs.
Ranked #4 on Video Retrieval on MSR-VTT-1kA
no code implementations • 8 Oct 2023 • Yu Huang, Yuan Cheng, Yingbin Liang
For data with balanced features, we establish the finite-time convergence guarantee with near-zero prediction error by navigating our analysis over two phases of the training dynamics of the attention map.
no code implementations • 20 Oct 2023 • Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
To this end, we posit a joint model class for tasks and use the notion of $\eta$-bracketing number to quantify its complexity; this number also serves as a general metric to capture the similarity of tasks and thus determines the benefit of multi-task over single-task RL.
no code implementations • 17 Nov 2023 • Yichi Zhang, Shiyao Hu, Sijie Ren, Chen Jiang, Yuan Cheng, Yuan Qi
The Segment Anything Model (SAM) has recently emerged as a groundbreaking foundation model for prompt-driven image segmentation tasks.
no code implementations • 11 Dec 2023 • Yichi Zhang, Yuan Cheng, Yuan Qi
Semi-supervised learning has attracted much attention due to its less dependence on acquiring abundant annotations from experts compared to fully supervised methods, which is especially important for medical image segmentation which typically requires intensive pixel/voxel-wise labeling by domain experts.
no code implementations • 25 Dec 2023 • TianHui Ma, Yuan Cheng, HengShu Zhu, Hui Xiong
With the significant successes of large language models (LLMs) in many natural language processing tasks, there is growing interest among researchers in exploring LLMs for novel recommender systems.
no code implementations • 9 Jan 2024 • Xuzheng Yu, Chen Jiang, Wei zhang, Tian Gan, Linlin Chao, Jianan Zhao, Yuan Cheng, Qingpei Guo, Wei Chu
With the explosive growth of video data in real-world applications, a comprehensive representation of videos becomes increasingly important.
1 code implementation • 31 Jan 2024 • Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu
By employing one shared BERT-type network to refine textual and cross-modal features simultaneously, SNP is lightweight and could support various downstream applications.
no code implementations • 5 Feb 2024 • Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang
Our result for the second model is the first-known result for such a type of function approximation models.
no code implementations • 17 Mar 2024 • Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
Our 13B model (ChipGPT-FT) has a pass rate improvement compared with GPT-3. 5 in Verilog generation and outperforms in EDA script (i. e., SiliconCompiler) generation with only 200 EDA script data.
no code implementations • 7 Apr 2024 • Xin Pang, Zhucong Li, Jiaxiang Chen, Yuan Cheng, Yinghui Xu, Yuan Qi
We introduce AI2Apps, a Visual Integrated Development Environment (Visual IDE) with full-cycle capabilities that accelerates developers to build deployable LLM-based AI agent Applications.