no code implementations • 20 Sep 2018 • Xiaolong Liu, Zhidong Deng, Yuhan Yang
In this paper, we divide semantic image segmentation methods into two categories: traditional and recent DNN method.
no code implementations • 17 Jul 2020 • Xiaolong Liu, Yuqing Hou, Anbang Yao, Yurong Chen, Keqiang Li
Given the insight that pixels belonging to one instance have one or more common attributes of current instance, we bring up an one-stage instance segmentation network named Common Attribute Support Network (CASNet), which realizes instance segmentation by predicting and clustering common attributes.
1 code implementation • CVPR 2021 • Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr
Current developments in temporal event or action localization usually target actions captured by a single camera.
Ranked #2 on Temporal Action Localization on MUSES
no code implementations • 20 May 2021 • Will Pryor, Yotam Barnoy, Suraj Raval, Xiaolong Liu, Lamar Mair, Daniel Lerner, Onder Erin, Gregory D. Hager, Yancy Diaz-Mercado, Axel Krieger
Our localization method combines neural network-based segmentation and classical techniques, and we are able to consistently locate our needle with 0. 73 mm RMS error in clean environments and 2. 72 mm RMS error in challenging environments with blood and occlusion.
1 code implementation • 18 Jun 2021 • Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Shiwei Zhang, Song Bai, Xiang Bai
Temporal action detection (TAD) aims to determine the semantic label and the temporal interval of every action instance in an untrimmed video.
Ranked #8 on Temporal Action Localization on HACS
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.
1 code implementation • CVPR 2022 • Xiaolong Liu, Song Bai, Xiang Bai
Rather than end-to-end learning, most existing methods adopt a head-only learning paradigm, where the video encoder is pre-trained for action classification, and only the detection head upon the encoder is optimized for TAD.
Ranked #17 on Temporal Action Localization on THUMOS’14
1 code implementation • 19 Jul 2022 • Tenggan Zhang, Chuanhe Liu, Xiaolong Liu, Yuchen Liu, Liyu Meng, Lei Sun, Wenqiang Jiang, Fengyuan Zhang, Jinming Zhao, Qin Jin
This paper presents our system for the Multi-Task Learning (MTL) Challenge in the 4th Affective Behavior Analysis in-the-wild (ABAW) competition.
1 code implementation • 2 Nov 2022 • Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
PA layers efficiently learn the relatedness of non-neighbor nodes to improve the information propagation to users.
1 code implementation • 18 Nov 2022 • Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
Graph Neural Network (GNN) based recommender systems have been attracting more and more attention in recent years due to their excellent performance in accuracy.
no code implementations • 17 Mar 2023 • Chuanhe Liu, Xinjie Zhang, Xiaolong Liu, Tenggan Zhang, Liyu Meng, Yuchen Liu, Yuanyuan Deng, Wenqiang Jiang
This paper presents our submission to the Expression Classification Challenge of the fifth Affective Behavior Analysis in-the-wild (ABAW) Competition.
1 code implementation • CVPR 2023 • Wei Hua, Dingkang Liang, Jingyu Li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, Xiang Bai
Semi-Supervised Object Detection (SSOD), aiming to explore unlabeled data for boosting object detectors, has become an active task in recent years.
1 code implementation • 23 May 2023 • Xiaolong Liu, Lujun Li, Chao Li, Anbang Yao
By sequentially splitting the expanded student representation into N non-overlapping feature segments having the same number of feature channels as the teacher's, they can be readily forced to approximate the intact teacher representation simultaneously, formulating a novel many-to-one representation matching mechanism conditioned on a single teacher-student layer pair.
1 code implementation • 28 Jun 2023 • Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
To address this limitation, we propose Dimension Independent Mixup for Hard Negative Sampling (DINS), which is the first Area-wise sampling method for training CF-based models.
no code implementations • 16 Aug 2023 • Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
With the proliferation of social media, a growing number of users search for and join group activities in their daily life.
1 code implementation • 18 Aug 2023 • Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
To address this issue, we propose a novel approach, graph-based alignment and uniformity (GraphAU), that explicitly considers high-order connectivities in the user-item bipartite graph.
no code implementations • 13 Oct 2023 • Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
However, PLMs often overlook the vital collaborative filtering signals, leading to challenges in merging collaborative and semantic representation spaces and fine-tuning semantic representations for better alignment with warm-start conditions.
1 code implementation • 20 Oct 2023 • Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
On the other hand, pretraining and finetuning on the same dataset leads to a high risk of overfitting.
1 code implementation • 20 Oct 2023 • Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
Collectively, our contributions signify a substantial stride towards augmenting the panorama of recommendation diversity within the realm of KG-informed RecSys paradigms.
1 code implementation • 16 Nov 2023 • Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
The users' group participation on social platforms reveals their interests and can be utilized as side information to mitigate the data sparsity and cold-start problem in recommender systems.
no code implementations • 20 Nov 2023 • Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
Participant recommendation, a fundamental problem emerging together with GB, aims to find the participants for a launched group buying process with an initiator and a target item to increase the GB success rate.
1 code implementation • 7 Dec 2023 • Jiawei Fan, Chao Li, Xiaolong Liu, Meina Song, Anbang Yao
In order to address this problem, we present Augmentation-free Dense Contrastive Knowledge Distillation (Af-DCD), a new contrastive distillation learning paradigm to train compact and accurate deep neural networks for semantic segmentation applications.
no code implementations • SemEval (NAACL) 2022 • Ziming Zhou, Han Zhao, Jingjing Dong, Ning Ding, Xiaolong Liu, Kangli Zhang
This paper describes our submission for task 5 Multimedia Automatic Misogyny Identification (MAMI) at SemEval-2022.
no code implementations • CONSTRAINT (ACL) 2022 • Ziming Zhou, Han Zhao, Jingjing Dong, Jun Gao, Xiaolong Liu
The memes serve as an important tool in online communication, whereas some hateful memes endanger cyberspace by attacking certain people or subjects.