no code implementations • 18 Apr 2024 • Shanshan Wang, Ying Hu, Xun Yang, Zhongzhou Zhang, Keyang Wang, Xingyi Zhang
To address these problems, we propose a Concept-driven Personalized Forgetting knowledge tracing model (CPF) which integrates hierarchical relationships between knowledge concepts and incorporates students' personalized cognitive abilities.
1 code implementation • 17 Apr 2024 • Zhiyong Cheng, Jianhua Dong, Fan Liu, Lei Zhu, Xun Yang, Meng Wang
Furthermore, these models overlook the personalized nature of user behavioral preferences by employing uniform transformation networks for all users and items.
1 code implementation • 21 Mar 2024 • Jingjing Hu, Dan Guo, Kun Li, Zhan Si, Xun Yang, Xiaojun Chang, Meng Wang
Inspired by the activity-silent and persistent activity mechanisms in human visual perception biology, we design a Unified Static and Dynamic Network (UniSDNet), to learn the semantic association between the video and text/audio queries in a cross-modal environment for efficient video grounding.
1 code implementation • 14 Mar 2024 • Donglin Di, Jiahui Yang, Chaofan Luo, Zhou Xue, Wei Chen, Xun Yang, Yue Gao
Our framework is anchored by a well-established mainflow and an essential module, named ``Geometry and Texture Hypergraph Refiner (HGRefiner)''.
1 code implementation • 23 Feb 2024 • Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han
These hard samples are then employed to promote the quality of the ensemble model by adjusting the ensembling weights for each client model.
no code implementations • 13 Nov 2023 • Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang
Multi-modal large language models (LLM) have achieved powerful capabilities for visual semantic understanding in recent years.
1 code implementation • 6 Nov 2023 • Shengkai Sun, Daizong Liu, Jianfeng Dong, Xiaoye Qu, Junyu Gao, Xun Yang, Xun Wang, Meng Wang
In this manner, our framework is able to learn the unified representations of uni-modal or multi-modal skeleton input, which is flexible to different kinds of modality input for robust action understanding in practical cases.
no code implementations • 13 Oct 2023 • Sheng Zhou, Dan Guo, Jia Li, Xun Yang, Meng Wang
The associations between these repetitive objects are superfluous for answer reasoning; (2) two spatially distant OCR tokens detected in the image frequently have weak semantic dependencies for answer reasoning; and (3) the co-existence of nearby objects and tokens may be indicative of important visual cues for predicting answers.
no code implementations • 29 Sep 2023 • Wei Ji, Li Li, Hao Fei, Xiangyan Liu, Xun Yang, Juncheng Li, Roger Zimmermann
Referring Image Understanding (RIS) has been extensively studied over the past decade, leading to the development of advanced algorithms.
1 code implementation • 2 Sep 2023 • Jun Zhang, Huayang Zhuge, Yiyao Liu, Guohao Peng, Zhenyu Wu, Haoyuan Zhang, Qiyang Lyu, Heshan Li, Chunyang Zhao, Dogan Kircali, Sanat Mharolkar, Xun Yang, Su Yi, Yuanzhe Wang, Danwei Wang
5) Considered both middle- and large- scale outdoor environments, i. e., the 6 trajectories range from 246m to 6. 95km.
no code implementations • 7 Aug 2023 • Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua
This paper identifies two kinds of redundancy in the current VideoQA paradigm.
1 code implementation • 17 May 2023 • Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu
As the attribute-specific similarity typically corresponds to the specific subtle regions of images, we propose a Region-to-Patch Framework (RPF) that consists of a region-aware branch and a patch-aware branch to extract fine-grained attribute-related visual features for precise retrieval in a coarse-to-fine manner.
no code implementations • CVPR 2023 • Tianyu Chang, Xun Yang, Tianzhu Zhang, Meng Wang
In this way, we can prevent the model from exploiting the artifacts of synthetic stereo images as shortcut features, thereby estimating the disparity maps more effectively based on the learned robust and shortcut-invariant representation.
1 code implementation • 16 Oct 2022 • Ning Han, Xun Yang, Ee-Peng Lim, Hao Chen, Qianru Sun
In turn, the frame-level optimization is through gradient descent using the meta loss of video retrieval model computed on the whole video.
no code implementations • 15 Oct 2022 • Shanshan Wang, Zhen Zeng, Xun Yang, Xingyi Zhang
Cognitive diagnosis is a fundamental yet critical research task in the field of intelligent education, which aims to discover the proficiency level of different students on specific knowledge concepts.
1 code implementation • 26 Aug 2022 • Jianfeng Dong, Xianke Chen, Minsong Zhang, Xun Yang, ShuJie Chen, Xirong Li, Xun Wang
To fill the gap, we propose in this paper a novel T2VR subtask termed Partially Relevant Video Retrieval (PRVR).
Ranked #1 on Partially Relevant Video Retrieval on TVR
no code implementations • 16 May 2022 • Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He
Towards this goal, we propose a Hidden Confounder Removal (HCR) framework that leverages front-door adjustment to decompose the causal effect into two partial effects, according to the mediators between item features and user feedback.
no code implementations • 11 Mar 2022 • Di wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
In order to address the unstable traffic pattern challenge and achieve the optimal overall outcome, we propose a multi-agent reinforcement learning method to adjust the bids from each guaranteed contract, which is simple, converging efficiently and scalable.
no code implementations • 7 Mar 2022 • Yujuan Ding, P. Y. Mok, Xun Yang, Yanghong Zhou
Personalized fashion recommendation aims to explore patterns from historical interactions between users and fashion items and thereby predict the future ones.
no code implementations • 26 Nov 2021 • Xianxin Song, Ding Zhao, Haocheng Hua, Tony Xiao Han, Xun Yang, Jie Xu
This paper studies an intelligent reflecting surface (IRS)-assisted integrated sensing and communication (ISAC) system, in which one IRS is deployed to not only assist the wireless communication from a multi-antenna base station (BS) to a single-antenna communication user (CU), but also create virtual line-of-sight (LoS) links for sensing targets at areas with LoS links blocked.
1 code implementation • 3 Jun 2021 • Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua
To fill the research gap, we propose a causality-inspired VMR framework that builds structural causal model to capture the true effect of query and video content on the prediction.
1 code implementation • 25 May 2021 • Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai
This companion paper supports the replication of the fashion trend forecasting experiments with the KERN (Knowledge Enhanced Recurrent Network) method that we presented in the ICMR 2020.
1 code implementation • 6 Apr 2021 • Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji
In this similarity paradigm, one should pay more attention to the similarity in terms of a specific design/attribute between fashion items.
no code implementations • 3 Mar 2021 • Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
On the other hand, the response time of these systems is strictly limited to a short period, e. g. 300 milliseconds in our real system, which is also being exhausted by the increasingly complex models and algorithms.
no code implementations • 2 Feb 2021 • Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Yabing Wang, Pan Zhou, Baolong Liu, Xun Wang
The language-based setting of this task allows for an open set of target activities, resulting in a large variation of the temporal lengths of video moments.
1 code implementation • 10 Sep 2020 • Jianfeng Dong, Xirong Li, Chaoxi Xu, Xun Yang, Gang Yang, Xun Wang, Meng Wang
In this paper we achieve this by proposing a dual deep encoding network that encodes videos and queries into powerful dense representations of their own.
Ranked #3 on Ad-hoc video search on TRECVID-AVS16 (IACC.3) (using extra training data)
1 code implementation • ECCV 2020 • Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua
In this paper, we explore a novel task named visual Relation Grounding in Videos (vRGV).
no code implementations • 6 Jul 2020 • Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua
To facilitate video retrieval with complex queries, we propose a Tree-augmented Cross-modal Encoding method by jointly learning the linguistic structure of queries and the temporal representation of videos.
1 code implementation • 7 May 2020 • Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua
Further-more, to effectively model the time series data of fashion elements with rather complex patterns, we propose a Knowledge EnhancedRecurrent Network model (KERN) which takes advantage of the capability of deep recurrent neural networks in modeling time-series data.
no code implementations • 12 Aug 2019 • Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua
We unify three tasks of occasion, person and clothing discovery from multiple modalities of images, texts and metadata.
no code implementations • 25 Jun 2019 • Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua
When traveling to a foreign country, we are often in dire need of an intelligent conversational agent to provide instant and informative responses to our various queries.
no code implementations • 10 Apr 2019 • Xun Yang, Meng Wang, DaCheng Tao
We jointly learn two distance metrics by minimizing the empirical loss penalizing the difference between the distance in the original space and that in the privileged space.
no code implementations • 10 Sep 2018 • Di Wu, Cheng Chen, Xun Yang, Xiujun Chen, Qing Tan, Jian Xu, Kun Gai
With this formulation, we derive the optimal impression allocation strategy by solving the optimal bidding functions for contracts.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 23 Feb 2018 • Di Wu, Xiujun Chen, Xun Yang, Hao Wang, Qing Tan, Xiaoxun Zhang, Jian Xu, Kun Gai
Our analysis shows that the immediate reward from environment is misleading under a critical resource constraint.
1 code implementation • 20 Apr 2017 • Xun Yang, Meng Wang, Richang Hong, Qi Tian, Yong Rui
To address this problem, in this paper, we propose a self-trained subspace learning paradigm for person re-ID which effectively utilizes both labeled and unlabeled data to learn a discriminative subspace where person images across disjoint camera views can be easily matched.
no code implementations • 21 Jul 2013 • Dorje C. Brody, Lane P. Hughston, Xun Yang
The price of a commodity is the expectation under a suitable pricing measure of the totality of the discounted risk-adjusted future convenience dividend, conditional on the information provided by the market filtration.