Search Results for author: Chen Jiang

Found 20 papers, 10 papers with code

Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition

no code implementations9 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.

Representation Learning Scene Recognition

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence

no code implementations28 Dec 2023 Zhecheng Sheng, Tianhao Zhang, Chen Jiang, Dongyeop Kang

In summary, we present a novel Brownian bridge coherence metric capable of measuring both local and global text coherence, while circumventing the need for end-to-end model training.

Coherence Evaluation

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning

1 code implementation20 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.

Contrastive Learning Retrieval +3

Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval

no code implementations20 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.

Retrieval Video Retrieval

CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation

no code implementations17 Sep 2023 Chen Jiang, Yuchen Yang, Martin Jagersand

To generate high-quality segmentation predictions from referring expressions, we propose CLIPUNetr - a new CLIP-driven referring expression segmentation network.

Referring Expression Referring Expression Segmentation +2

Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More

no code implementations25 Aug 2023 Chao Wu, Peng Chen, Baiqiao Yin, Zijuan Lin, Chen Jiang, Di Yu, Changhong Zou, Chunwang Lui

Social networks exhibit a complex graph-like structure due to the uncertainty surrounding potential collaborations among participants.

Ensemble Learning Link Prediction

MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition

1 code implementation ICCV 2023 QiHao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu

In the analysis and ablation study, we demonstrate that our method compared with previous work can effectively increase the diversity of experts, significantly reduce the variance of the model, and improve recognition accuracy.

Long-tail Learning

Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval

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.

Image Retrieval Retrieval

Single-photon Image Super-resolution via Self-supervised Learning

no code implementations3 Mar 2023 YiWei Chen, Chen Jiang, Yu Pan

Single-Photon Image Super-Resolution (SPISR) aims to recover a high-resolution volumetric photon counting cube from a noisy low-resolution one by computational imaging algorithms.

Image Super-Resolution Self-Supervised Learning

TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision

2 code implementations23 Nov 2022 Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang

Previous methods typically start from frame-to-frame similarity matrix generated by cosine similarity between frame-level features of the input video pair, and then detect and refine the boundaries of copied segments on similarity matrix under temporal constraints.

Retrieval Video Retrieval

One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction

2 code implementations15 Aug 2022 Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu

At the prior learning stage, we first construct a large Hankel matrix from k-space data, then extract multiple structured k-space patches from the large Hankel matrix to capture the internal distribution among different patches.

WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction

1 code implementation8 May 2022 Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Pengwen Zhu, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu

Deep learning based parallel imaging (PI) has made great progresses in recent years to accelerate magnetic resonance imaging (MRI).

K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction

1 code implementation21 Mar 2022 Zongjiang Tu, Chen Jiang, Yu Guan, Shanshan Wang, Jijun Liu, Qiegen Liu, Dong Liang

Decreasing magnetic resonance (MR) image acquisition times can potentially make MR examinations more accessible.

MRI Reconstruction

Asteroseismic modelling of solar-type stars: A deeper look at the treatment of initial helium abundance

no code implementations15 Oct 2020 Benard Nsamba, Nuno Moedas, Tiago L. Campante, Margarida S. Cunha, Antonio García Hernández, Juan C. Suárez, Mário J. P. F. G. Monteiro, João Fernandes, Chen Jiang, Babatunde Akinsanmi

Adopting 35 low-mass, solar-type stars with multi-year Kepler photometry from the asteroseismic "LEGACY" sample, we explore the systematic uncertainties on the inferred stellar parameters (i. e., radius, mass, and age) arising from the treatment of the initial helium abundance in stellar model grids .

Solar and Stellar Astrophysics

A Semismooth-Newton's-Method-Based Linearization and Approximation Approach for Kernel Support Vector Machines

no code implementations21 Jul 2020 Chen Jiang, Qingna Li

Motivated by this question and the idea in linearization framework, in this paper, we focus on the $L_2$-loss kernel SVM and propose a semismooth Newton's method based linearization and approximation approach for it.

Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream

1 code implementation2 Mar 2020 Chen Jiang, Masood Dehghan, Martin Jagersand

In this paper, to model the intended concepts of manipulation, we present a vision dataset under a strictly constrained knowledge domain for both robot and human manipulations, where manipulation concepts and relations are stored by an ontology system in a taxonomic manner.

Language Modelling

Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks

no code implementations16 Sep 2019 Chen Jiang, Martin Jagersand

Using the framework, we present a case study where robot performs manipulation actions in a kitchen environment, bridging visual perception with contextual semantics using the generated dynamic knowledge graphs.

Attribute Common Sense Reasoning +3

Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting

1 code implementation17 Oct 2018 Mennatullah Siam, Chen Jiang, Steven Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jagersand

A human teacher can show potential objects of interest to the robot, which is able to self adapt to the teaching signal without providing manual segmentation labels.

Incremental Learning Robot Manipulation +4

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