1 code implementation • ECCV 2020 • Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang
The objective of this paper is to have a comprehensive and systematic study of weight sharing in GCNs for 3D HPE.
no code implementations • 13 Nov 2023 • Xuejing Liu, Wei Tang, Xinzhe Ni, Jinghui Lu, Rui Zhao, Zechao Li, Fei Tan
This pipeline achieved superior performance compared to the majority of existing Multimodal Large Language Models (MLLM) on four text-rich VQA datasets.
no code implementations • 3 Nov 2023 • Ziyu Wang, Wenhao Jiang, Zixuan Zhang, Wei Tang, Junchi Yan
Sequential processes in real-world often carry a combination of simple subsystems that interact with each other in certain forms.
no code implementations • 31 Jul 2023 • Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang
We introduce LaplaceConfidence, a method that to obtain label confidence (i. e., clean probabilities) utilizing the Laplacian energy.
1 code implementation • 29 May 2023 • Xuejing Liu, Wei Tang, Jinghui Lu, Rui Zhao, Zhaojun Guo, Fei Tan
Recent advancements in multimodal foundation models (e. g., CLIP) have excelled in zero-shot generalization.
no code implementations • 1 May 2023 • Yatong Chen, Wei Tang, Chien-Ju Ho, Yang Liu
Specifically, we develop a {\em reparameterization} framework that reparametrizes the performative prediction objective as a function of the induced data distribution.
no code implementations • 21 Mar 2023 • Xiangchen Cheng, Wei Tang, Ming Yang, Li Jin
Signal-free intersections are a representative application of smart and connected vehicle technologies.
no code implementations • CVPR 2023 • Zheng Qin, Sanping Zhou, Le Wang, Jinghai Duan, Gang Hua, Wei Tang
For dense crowds, we design a novel Interaction Module to learn interaction-aware motions from short-term trajectories, which can estimate the complex movement of each target.
no code implementations • 22 Feb 2023 • Wei Tang, Yinxiao Wang, Kangning Cui, Raymond H. Chan
In this paper, we propose a loss function that incorporates a global segmentation loss, a patch-wise density loss, and a patch-wise edge-aware loss to improve the performance of these networks on the detection and segmentation of hard exudates.
1 code implementation • ICCV 2023 • Kun Xia, Le Wang, Sanping Zhou, Gang Hua, Wei Tang
To this end, we propose a unified framework, termed Noisy Pseudo-Label Learning, to handle both location biases and category errors.
1 code implementation • 18 Dec 2022 • Wei Tang, Weijia Zhang, Min-Ling Zhang
MIPLGP first assigns each instance with a candidate label set in an augmented label space, then transforms the candidate label set into a logarithmic space to yield the disambiguated and continuous labels via an exclusive disambiguation strategy, and last induces a model based on the Gaussian processes.
no code implementations • 28 Nov 2022 • Linkun Fan, Fazhi He, Qing Guo, Wei Tang, Xiaolin Hong, Bing Li
As a result, backdoor pattern designed for one certain 3D data structure will be disable for other data structures of the same 3D scene.
no code implementations • 23 Nov 2022 • Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei zhang, Chengjie Wang, Yuan Xie
This paper builds a unified framework to perform effective noisy-proposal suppression and to interact between global and local features for robust feature learning.
no code implementations • 17 Nov 2022 • Mario Renteria-Pinon, Xiaochen Tang, Jaime Ramirez-Angulo, Wei Tang
This paper presents a fully integrated second-order level-crossing sampling data converter for real-time data compression and feature extraction.
no code implementations • 17 Nov 2022 • Xiaochen Tang, Mario Renteria-Pinon, Wei Tang
No quantization is performed for successfully predicted sampling points so that the data throughput and power can be saved.
1 code implementation • 16 Nov 2022 • Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie
Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations.
Ranked #1 on
Relation Extraction
on WebNLG
no code implementations • 12 Oct 2022 • Ziyin Zeng, Yongyang Xu, Zhong Xie, Wei Tang, Jie Wan, Weichao Wu
Meanwhile, it is difficult for networks to capture global information in large-scale distributed contexts.
no code implementations • CVPR 2022 • Kun Xia, Le Wang, Sanping Zhou, Nanning Zheng, Wei Tang
The main challenge of Temporal Action Localization is to retrieve subtle human actions from various co-occurring ingredients, e. g., context and background, in an untrimmed video.
no code implementations • 12 Feb 2022 • Yiding Feng, Wei Tang, Haifeng Xu
For each user with her own private preference and belief, the platform commits to a recommendation strategy to utilize his information advantage on the product state to persuade the self-interested user to follow the recommendation.
1 code implementation • 5 Aug 2021 • Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie
In this work, we propose a novel Time-aware Path reasoning for Recommendation (TPRec for short) method, which leverages the potential of temporal information to offer better recommendation with plausible explanations.
1 code implementation • ICCV 2021 • Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua
Specifically, the proposed unlimited neighborhood interaction module generates the fused-features of all agents involved in an interaction simultaneously, which is adaptive to any number of agents and any range of interaction area.
1 code implementation • ICCV 2021 • Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng, Gang Hua
We explore two existing models to be the P-Net in our experiments.
no code implementations • CVPR 2021 • Mingyuan Liu, Dan Schonfeld, Wei Tang
Inter-class reasoning then performs spatial and semantic reasoning based on the dependency relations among different object categories.
no code implementations • NeurIPS 2020 • Wei Tang, Chien-Ju Ho, Yang Liu
The goal of the learner is to optimize the accuracy, i. e., obtaining an accurate estimate of the optimal point, while securing her privacy, i. e., making it difficult for the adversary to infer the optimal point.
no code implementations • 30 Mar 2021 • Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua
To address this challenge, we introduce a framework that learns two feature subspaces respectively for actions and their context.
Action Recognition
Weakly-supervised Temporal Action Localization
+1
no code implementations • 28 Mar 2021 • Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua
In this paper, we introduce an Action-Context Separation Network (ACSNet) that explicitly takes into account context for accurate action localization.
Ranked #7 on
Weakly Supervised Action Localization
on THUMOS’14
Video Polyp Segmentation
Weakly Supervised Action Localization
+2
no code implementations • 11 Mar 2021 • Chi Zhang, Zihang Lin, Liheng Xu, Zongliang Li, Wei Tang, Yuehu Liu, Gaofeng Meng, Le Wang, Li Li
The key procedure of haze image translation through adversarial training lies in the disentanglement between the feature only involved in haze synthesis, i. e. style feature, and the feature representing the invariant semantic content, i. e. content feature.
no code implementations • 5 Mar 2021 • Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang
We study a natural competitive-information-design variant for the Pandora's Box problem (Weitzman 1979), where each box is associated with a strategic information sender who can design what information about the box's prize value to be revealed to the agent when the agent inspects the box.
Computer Science and Game Theory
1 code implementation • ICCV 2021 • Zhiming Zou, Wei Tang
It consists of two main components: weight modulation and affinity modulation.
Ranked #37 on
3D Human Pose Estimation
on MPI-INF-3DHP
(AUC metric)
no code implementations • ICCV 2021 • Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua
Unsupervised person re-identification (Re-ID) remains challenging due to the lack of ground-truth labels.
no code implementations • 9 Nov 2020 • Chengkang Shen, Peiyan Wang, Wei Tang
It is a multi-stage architecture consisting of a source stream and a target stream.
no code implementations • ECCV 2020 • Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, Gang Hua
Weakly-supervised Temporal Action Localization (W-TAL) aims to classify and localize all action instances in an untrimmed video under only video-level supervision.
Ranked #11 on
Weakly Supervised Action Localization
on THUMOS14
Vocal Bursts Valence Prediction
Weakly Supervised Action Localization
+2
1 code implementation • 28 Sep 2020 • He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu
Motivated by the fact that detecting these rare relations can be critical in real-world applications, this paper introduces a novel integrated framework of classification and ranking to resolve the class imbalance problem in scene graph parsing.
1 code implementation • 16 Sep 2020 • Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.
no code implementations • 30 Jul 2020 • He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, Philip Yu
On the other hand, there is a large semantic gap between seen and unseen classes in the existing multi-label classification datasets.
1 code implementation • IEEE International Joint Conference on Neural Network 2020 • Yijun Su, Jia-Dong Zhang, Xiang Li, Daren Zha, Ji Xiang, Wei Tang, and Neng Gao
Recent studies mainly utilize social information, categorical information and/or geographical information to supplement the highly sparse check-in data.
2 code implementations • 27 Apr 2020 • Wei Tang, Hong-Hao Tu, Lei Wang
We present an algorithm for studying quantum systems at finite temperature using continuous matrix product operator representation.
Strongly Correlated Electrons Statistical Mechanics Computational Physics
no code implementations • 15 Apr 2020 • Zheng Jiang, Menghan Hu, Lei Fan, Yaling Pan, Wei Tang, Guangtao Zhai, Yong Lu
In this work, we perform the health screening through the combination of the RGB and thermal videos obtained from the dual-mode camera and deep learning architecture. We first accomplish a respiratory data capture technique for people wearing masks by using face recognition.
no code implementations • NeurIPS 2021 • Wei Tang, Chien-Ju Ho, Yang Liu
In this paper, we formulate this delayed and long-term impact of actions within the context of multi-armed bandits.
no code implementations • CVPR 2019 • Wei Tang, Ying Wu
Can we identify related parts and learn specific features for them to improve pose estimation?
no code implementations • 27 Nov 2018 • Wei Tang, John Corring, Ying Wu, Gang Hua
Printed text recognition is an important problem for industrial OCR systems.
Optical Character Recognition (OCR)
Printed Text Recognition
no code implementations • 19 Oct 2018 • Wei Tang, Gui Li, Xinyuan Bao, Teng Li
One generator transforms the conditional person image into a coarse image of the target pose globally, and the other is to enhance the detailed quality of the synthetic person image through a local reinforcement network.
no code implementations • ECCV 2018 • Wei Tang, Pei Yu, Ying Wu
This results in a network with a hierarchical compositional architecture and bottom-up/top-down inference stages.
Ranked #11 on
Pose Estimation
on MPII Human Pose
1 code implementation • IEEE International Conference on Mobile Data Management (MDM) 2018 • Yijun Su, Xiang Li, Wei Tang, Ji Xiang, Yuanye He
In this paper, we propose a unified location prediction framework to integrate the effect of history check-in and the influence of social circles.
no code implementations • 21 Dec 2017 • Jiefeng Chen, Zihang Meng, Changtian Sun, Wei Tang, Yinglun Zhu
Though deep neural network has hit a huge success in recent studies and applica- tions, it still remains vulnerable to adversarial perturbations which are imperceptible to humans.
no code implementations • ICCV 2017 • Jiahuan Zhou, Pei Yu, Wei Tang, Ying Wu
In contrast to these methods, this paper advocates a different paradigm: part of the learning can be performed online but with nominal costs, so as to achieve online metric adaptation for different input probes.
no code implementations • ICCV 2017 • Wei Tang, Pei Yu, Jiahuan Zhou, Ying Wu
Compositional models represent visual patterns as hierarchies of meaningful and reusable parts.
1 code implementation • 4 Feb 2016 • Yichen Li, Craig Thorn, Wei Tang, Jyoti Joshi, Xin Qian, Milind Diwan, Steve Kettell, William Morse, Triveni Rao, James Stewart, Thomas Tsang, Lige Zhang
We describe the design of a 20-liter test stand constructed to study fundamental properties of liquid argon (LAr).
Instrumentation and Detectors High Energy Physics - Experiment