Search Results for author: Jia Li

Found 192 papers, 74 papers with code

Fair Text-to-Image Diffusion via Fair Mapping

no code implementations29 Nov 2023 Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang

We first demonstrate the issue of bias in generated results caused by language biases in text-guided diffusion models.

Graph Prompt Learning: A Comprehensive Survey and Beyond

2 code implementations28 Nov 2023 Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li

This paper presents a pioneering survey on the emerging domain of graph prompts in AGI, addressing key challenges and opportunities in harnessing graph data for AGI applications.

SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation

1 code implementation27 Nov 2023 Jia Li, Yanyan Shen, Lei Chen, Charles Wang Wai Ng

Inspired by the Cloze task and BERT, we fully consider the characteristics of spatial interpolation and design the SpaFormer model based on the Transformer architecture as the core of SSIN.

Self-Supervised Learning Spatial Interpolation

Segment Every Out-of-Distribution Object

no code implementations27 Nov 2023 Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo

Semantic segmentation models, while effective for in-distribution categories, face challenges in real-world deployment due to encountering out-of-distribution (OoD) objects.

Segmentation Semantic Segmentation

A Survey of Graph Meets Large Language Model: Progress and Future Directions

1 code implementation21 Nov 2023 Yuhan Li, ZHIXUN LI, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu

First of all, we propose a new taxonomy, which organizes existing methods into three categories based on the role (i. e., enhancer, predictor, and alignment component) played by LLMs in graph-related tasks.

Language Modelling Large Language Model

Enabling CMF Estimation in Data-Constrained Scenarios: A Semantic-Encoding Knowledge Mining Model

no code implementations15 Nov 2023 Yanlin Qi, Jia Li, Michael Zhang

This new data-driven framework provides a cost-effective and adaptable solution that complements the case-specific approaches for CMF estimation, which is particularly beneficial when availability of crash data or time imposes constraints.

ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation

no code implementations1 Nov 2023 Zejun Wang, Jia Li, Ge Li, Zhi Jin

To help human users refine their requirements and improve large language models' code generation performances, we propose ChatCoder: a method to refine the requirements via chatting with large language models.

Code Generation

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations

1 code implementation31 Oct 2023 Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li

This indicates that crafting multilingual corpora can be regarded as a vital strategy for enhancing model performance in a specific language, especially in mathematical reasoning tasks.

GSM8K Math +1

Large Language Model-Aware In-Context Learning for Code Generation

no code implementations15 Oct 2023 Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin

Large language models (LLMs) have shown impressive in-context learning (ICL) ability in code generation.

Code Generation Contrastive Learning +2

Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA

no code implementations13 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.

Graph Learning Optical Character Recognition +3

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting

no code implementations11 Oct 2023 Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian

Time-series forecasting serves as a linchpin in a myriad of applications, spanning various domains.

Time Series Time Series Forecasting

Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding

no code implementations12 Sep 2023 Jiaxiu Li, Kun Li, Jia Li, Guoliang Chen, Dan Guo, Meng Wang

Compared with the general video grounding task, MTVG focuses on meticulous actions and changes on the face.

text similarity Video Grounding

Improving Code Generation by Dynamic Temperature Sampling

no code implementations6 Sep 2023 Yuqi Zhu, Ge Li, YunFei Zhao, Jia Li, Zhi Jin, Hong Mei

With an analysis of loss distributions of code tokens, we find that code tokens can be divided into two categories: challenging tokens that are difficult to predict and confident tokens that can be easily inferred.

Code Generation

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization

no code implementations26 Aug 2023 Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin

Besides the patternized words, a code summary also contains important keywords, which are the key to reflecting the functionality of the code.

Code Summarization Informativeness +1

ZC3: Zero-Shot Cross-Language Code Clone Detection

1 code implementation26 Aug 2023 Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

In this paper, we propose a novel method named ZC3 for Zero-shot Cross-language Code Clone detection.

Clone Detection Language Modelling

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation

no code implementations25 Aug 2023 Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong

In PINGO, to ensure the uniqueness of the trajectory, we construct a Physics-Inspired Neural ODE framework to update the latent trajectory.

Exploiting Diverse Feature for Multimodal Sentiment Analysis

no code implementations25 Aug 2023 Jia Li, Wei Qian, Kun Li, Qi Li, Dan Guo, Meng Wang

Specifically, we achieve the results of 0. 8492 and 0. 8439 for MuSe-Personalisation in terms of arousal and valence CCC.

Multimodal Sentiment Analysis

Relation-Oriented: Toward Causal Knowledge-Aligned AGI

no code implementations31 Jul 2023 Jia Li, Xiang Li

Observation-Oriented paradigm currently dominates relationship learning models, including AI-based ones, which inherently do not account for relationships with temporally nonlinear effects.

Representation Learning

Spectral Normalized-Cut Graph Partitioning with Fairness Constraints

1 code implementation22 Jul 2023 Jia Li, Yanhao Wang, Arpit Merchant

Normalized-cut graph partitioning aims to divide the set of nodes in a graph into $k$ disjoint clusters to minimize the fraction of the total edges between any cluster and all other clusters.

Fairness graph partitioning

Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition

1 code implementation15 Jul 2023 Cheng Chen, Yifan Zhao, Jia Li

Learning multi-label image recognition with incomplete annotation is gaining popularity due to its superior performance and significant labor savings when compared to training with fully labeled datasets.

Contrastive Learning Multi-Label Classification

All in One: Multi-task Prompting for Graph Neural Networks

1 code implementation4 Jul 2023 Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

Inspired by the prompt learning in natural language processing (NLP), which has presented significant effectiveness in leveraging prior knowledge for various NLP tasks, we study the prompting topic for graphs with the motivation of filling the gap between pre-trained models and various graph tasks.


Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning

1 code implementation18 Jun 2023 Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian

Recent progress in this setting assumes that the base knowledge and novel query samples are distributed in the same domains, which are usually infeasible for realistic applications.

cross-domain few-shot learning

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series

1 code implementation14 Jun 2023 Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li

Irregularly sampled multivariate time series are ubiquitous in various fields, particularly in healthcare, and exhibit two key characteristics: intra-series irregularity and inter-series discrepancy.

Irregular Time Series Representation Learning +1

Network Robustness Learning via Graph Transformer

no code implementations12 Jun 2023 Yu Zhang, Jia Li, Jie Ding, Xiang Li

Learning and analysis of network robustness, including controllability robustness and connectivity robustness, is critical for various networked systems against attacks.

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction

1 code implementation2 Jun 2023 Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li

Graph Anomaly Detection (GAD) is a technique used to identify abnormal nodes within graphs, finding applications in network security, fraud detection, social media spam detection, and various other domains.

Fraud Detection Graph Anomaly Detection +1

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models

no code implementations24 May 2023 Zhengwei Tao, Zhi Jin, Xiaoying Bai, Haiyan Zhao, Yanlin Feng, Jia Li, Wenpeng Hu

In this paper, we propose an overarching framework for event semantic processing, encompassing understanding, reasoning, and prediction, along with their fine-grained aspects.

Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition

no code implementations19 May 2023 Liangqi Yuan, Yuan Wei, Jia Li

Deep neural networks (DNNs) are used to fit and train the pressure image stream and recognize the corresponding human behavior.

Activity Recognition

Structured Chain-of-Thought Prompting for Code Generation

no code implementations11 May 2023 Jia Li, Ge Li, Yongmin Li, Zhi Jin

In this paper, we propose Structured CoTs (SCoTs) and present a novel prompting technique for code generation, named SCoT prompting.

Code Generation Text Generation

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment

1 code implementation11 May 2023 Jianheng Tang, Kangfei Zhao, Jia Li

In this paper, we introduce FGWEA, an unsupervised entity alignment framework that leverages the Fused Gromov-Wasserstein (FGW) distance, allowing for a comprehensive comparison of entity semantics and KG structures within a joint optimization framework.

Entity Alignment Knowledge Graphs

Alleviating Over-smoothing for Unsupervised Sentence Representation

1 code implementation9 May 2023 Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li

Currently, learning better unsupervised sentence representations is the pursuit of many natural language processing communities.

Contrastive Learning Semantic Textual Similarity

Self-Edit: Fault-Aware Code Editor for Code Generation

no code implementations6 May 2023 Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin

Inspired by the process of human programming, we propose a generate-and-edit approach named Self-Edit that utilizes execution results of the generated code from LLMs to improve the code quality on the competitive programming task.

Code Generation

Missing Data Imputation with Graph Laplacian Pyramid Network

1 code implementation10 Apr 2023 Weiqi Zhang, Guanlve Li, Jianheng Tang, Jia Li, Fugee Tsung

Data imputation is a prevalent and important task due to the ubiquitousness of missing data.


Passive Radio Frequency-based 3D Indoor Positioning System via Ensemble Learning

no code implementations25 Mar 2023 Liangqi Yuan, Houlin Chen, Robert Ewing, Jia Li

Passive radio frequency (PRF)-based indoor positioning systems (IPS) have attracted researchers' attention due to their low price, easy and customizable configuration, and non-invasive design.

Ensemble Learning

Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers

1 code implementation16 Mar 2023 Jia Li, Yin Chen, Xuesong Zhang, Jiantao Nie, Ziqiang Li, Yangchen Yu, Yan Zhang, Richang Hong, Meng Wang

In this paper, we present our advanced solutions to the two sub-challenges of Affective Behavior Analysis in the wild (ABAW) 2023: the Emotional Reaction Intensity (ERI) Estimation Challenge and Expression (Expr) Classification Challenge.


A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data

2 code implementations12 Mar 2023 Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet

This observation allows us to provide an approximation bound for the distance between the fixed-point set of BAPG and the critical point set of GW.

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions

1 code implementation4 Mar 2023 Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy Kwok, Helen Meng, Hong Cheng

Many patients with chronic diseases resort to multiple medications to relieve various symptoms, which raises concerns about the safety of multiple medication use, as severe drug-drug antagonism can lead to serious adverse effects or even death.

counterfactual Representation Learning

Knowledge Graph Completion with Counterfactual Augmentation

no code implementations25 Feb 2023 Heng Chang, Jie Cai, Jia Li

With a carefully designed instantiation of a causal model on the knowledge graph, we generate the counterfactual relations to answer the question by regarding the representations of entity pair given relation as context, structural information of relation-aware neighborhood as treatment, and validity of the composed triplet as the outcome.

counterfactual Knowledge Graph Completion

Natural Response Generation for Chinese Reading Comprehension

1 code implementation17 Feb 2023 Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li

To this end, we construct a new dataset called Penguin to promote the research of MRC, providing a training and test bed for natural response generation to real scenarios.

Chinese Reading Comprehension Machine Reading Comprehension +1

Bridge the Gap between Language models and Tabular Understanding

no code implementations16 Feb 2023 Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li

For instance, TPLMs jointly pre-trained with table and text input could be effective for tasks also with table-text joint input like table question answering, but it may fail for tasks with only tables or text as input such as table retrieval.

Contrastive Learning Language Modelling +2

Syntax and Domain Aware Model for Unsupervised Program Translation

no code implementations8 Feb 2023 Fang Liu, Jia Li, Li Zhang

The experimental results on function translation tasks between Python, Java, and C++ show that SDA-Trans outperforms many large-scale pre-trained models, especially for unseen language translation.

Cross-Lingual Transfer Translation

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport

1 code implementation30 Jan 2023 Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li

As the graphs to be aligned are usually constructed from different sources, the inconsistency issues of structures and features between two graphs are ubiquitous in real-world applications.

Graph Embedding

E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images

1 code implementation ICCV 2023 Yunshan Qi, Lin Zhu, Yu Zhang, Jia Li

To solve this problem, we propose a novel Event-Enhanced NeRF (E2NeRF) by utilizing the combination data of a bio-inspired event camera and a standard RGB camera.

Deblurring Image Deblurring +2

Part-guided Relational Transformers for Fine-grained Visual Recognition

1 code implementation28 Dec 2022 Yifan Zhao, Jia Li, Xiaowu Chen, Yonghong Tian

This framework, namely PArt-guided Relational Transformers (PART), is proposed to learn the discriminative part features with an automatic part discovery module, and to explore the intrinsic correlations with a feature transformation module by adapting the Transformer models from the field of natural language processing.

Fine-Grained Image Classification Fine-Grained Visual Recognition +1

Parsing Objects at a Finer Granularity: A Survey

no code implementations28 Dec 2022 Yifan Zhao, Jia Li, Yonghong Tian

Fine-grained visual parsing, including fine-grained part segmentation and fine-grained object recognition, has attracted considerable critical attention due to its importance in many real-world applications, e. g., agriculture, remote sensing, and space technologies.

Object Recognition Segmentation

Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax

no code implementations12 Dec 2022 Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li

To address these challenges, we formulate the micro perspective mobility modeling into computing the relevance score between a diffusion and a location, conditional on a geometric graph.

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

no code implementations30 Nov 2022 Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li

In this work, we present a regularized graph autoencoder for graph attribute imputation, named MEGAE, which aims at mitigating spectral concentration problem by maximizing the graph spectral entropy.


The Stack: 3 TB of permissively licensed source code

no code implementations20 Nov 2022 Denis Kocetkov, Raymond Li, Loubna Ben allal, Jia Li, Chenghao Mou, Carlos Muñoz Ferrandis, Yacine Jernite, Margaret Mitchell, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro von Werra, Harm de Vries

Large Language Models (LLMs) play an ever-increasing role in the field of Artificial Intelligence (AI)--not only for natural language processing but also for code understanding and generation.

Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training

no code implementations10 Nov 2022 Lixiang Zhang, Jia Li

Furthermore, we adopt methods in adversarial training to enhance the robustness of DNN surrogate models.

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

1 code implementation3 Nov 2022 Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin

Large-scale pre-trained language models have achieved impressive results on a wide range of downstream tasks recently.

Language Modelling

Poison Attack and Defense on Deep Source Code Processing Models

no code implementations31 Oct 2022 Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia

The attackers aim to inject insidious backdoors into models by poisoning the training data with poison samples.

Clone Detection Code Repair +1

CodeEditor: Learning to Edit Source Code with Pre-trained Models

no code implementations31 Oct 2022 Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu

Pre-trained models are first pre-trained with pre-training tasks and fine-tuned with the code editing task.

Language Modelling Masked Language Modeling

View-aware Salient Object Detection for 360° Omnidirectional Image

no code implementations27 Sep 2022 Junjie Wu, Changqun Xia, Tianshu Yu, Jia Li

Inspired by humans' observing process, we propose a view-aware salient object detection method based on a Sample Adaptive View Transformer (SAVT) module with two sub-modules to mitigate these issues.

object-detection Object Detection +1

Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images

1 code implementation15 Aug 2022 Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Multi-instance learning (MIL) is widely used in the computer-aided interpretation of pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise annotations.

whole slide images

Generating Negative Samples for Sequential Recommendation

no code implementations7 Aug 2022 Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian McAuley, Caiming Xiong

Due to the dynamics of users' interests and model updates during training, considering randomly sampled items from a user's non-interacted item set as negatives can be uninformative.

Sequential Recommendation

Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis

1 code implementation5 Aug 2022 Jia Li, Ziyang Zhang, Junjie Lang, Yueqi Jiang, Liuwei An, Peng Zou, Yangyang Xu, Sheng Gao, Jie Lin, Chunxiao Fan, Xiao Sun, Meng Wang

In this paper, we present our solutions for the Multimodal Sentiment Analysis Challenge (MuSe) 2022, which includes MuSe-Humor, MuSe-Reaction and MuSe-Stress Sub-challenges.

Data Augmentation Humor Detection +1

Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers

no code implementations22 Jul 2022 Jia Li, Jiantao Nie, Dan Guo, Richang Hong, Meng Wang

Here, we regard an expressive face as the comprehensive result of a set of facial muscle movements on one's poker face (i. e., emotionless face), inspired by Facial Action Coding System.

Disentanglement Facial Expression Recognition +1

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

1 code implementation20 Jul 2022 Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi

With the rapid development of mobile devices, modern widely-used mobile phones typically allow users to capture 4K resolution (i. e., ultra-high-definition) images.

Image Enhancement Image Restoration +1

Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning

1 code implementation26 Jun 2022 Jiashun Cheng, Man Li, Jia Li, Fugee Tsung

Graph self-supervised learning (SSL) has been vastly employed to learn representations from unlabeled graphs.

Contrastive Learning Self-Supervised Learning

Deep Learning Eliminates Massive Dust Storms from Images of Tianwen-1

no code implementations21 Jun 2022 Hongyu Li, Jia Li, Xin Ren, Long Xu

Inspired by the haze formation process on Earth, we formulate a similar visual degradation process on clean images and synthesize dusty images sharing a similar feature distribution with realistic dusty images.

Image Dehazing

Semi-Supervised Hierarchical Graph Classification

no code implementations11 Jun 2022 Jia Li, Yongfeng Huang, Heng Chang, Yu Rong

We study the node classification problem in the hierarchical graph where a 'node' is a graph instance.

Graph Classification Graph Learning +1

Rethinking Graph Neural Networks for Anomaly Detection

1 code implementation31 May 2022 Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li

Graph Neural Networks (GNNs) are widely applied for graph anomaly detection.

Graph Anomaly Detection

MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation

1 code implementation31 May 2022 Wenzhuo Yang, Jia Li, Caiming Xiong, Steven C. H. Hoi

Counterfactual explanation is an important Explainable AI technique to explain machine learning predictions.

BIG-bench Machine Learning counterfactual +1

Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Data

no code implementations17 May 2022 Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet

In this paper, we study the design and analysis of a class of efficient algorithms for computing the Gromov-Wasserstein (GW) distance tailored to large-scale graph learning tasks.

Graph Learning

Pyramid Grafting Network for One-Stage High Resolution Saliency Detection

1 code implementation CVPR 2022 Chenxi Xie, Changqun Xia, Mingcan Ma, Zhirui Zhao, Xiaowu Chen, Jia Li

An attention-based Cross-Model Grafting Module (CMGM) is proposed to enable CNN branch to combine broken detailed information more holistically, guided by different source feature during decoding process.

Ranked #3 on RGB Salient Object Detection on UHRSD (using extra training data)

object-detection RGB Salient Object Detection +3

Video Demoireing with Relation-Based Temporal Consistency

1 code implementation CVPR 2022 Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi

Moire patterns, appearing as color distortions, severely degrade image and video qualities when filming a screen with digital cameras.

ELECRec: Training Sequential Recommenders as Discriminators

1 code implementation5 Apr 2022 Yongjun Chen, Jia Li, Caiming Xiong

A generator, as an auxiliary model, is trained jointly with the discriminator to sample plausible alternative next items and will be thrown out after training.

Sequential Recommendation

Improving Contrastive Learning with Model Augmentation

1 code implementation25 Mar 2022 Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong

However, existing methods all construct views by adopting augmentation from data perspectives, while we argue that 1) optimal data augmentation methods are hard to devise, 2) data augmentation methods destroy sequential correlations, and 3) data augmentation fails to incorporate comprehensive self-supervised signals.

Contrastive Learning Data Augmentation +2

ConTinTin: Continual Learning from Task Instructions

no code implementations ACL 2022 Wenpeng Yin, Jia Li, Caiming Xiong

This work defines a new learning paradigm ConTinTin (Continual Learning from Task Instructions), in which a system should learn a sequence of new tasks one by one, each task is explained by a piece of textual instruction.

Continual Learning

Robust facial expression recognition with global‑local joint representation learning

no code implementations Multimedia Systems 2022 Chunxiao Fan, zhenxing Wang, Jia Li, Shanshan Wang, Xiao Sun

In the proposed method, (1) the topological structure information and texture feature of regions of interest (ROIs) are modeled as graphs and processed with graph convolutional network (GCN) to remain the topological features.

Facial Expression Recognition Facial Expression Recognition (FER) +1

Styleverse: Towards Identity Stylization across Heterogeneous Domains

no code implementations2 Mar 2022 Jia Li, Jie Cao, Junxian Duan, Ran He

We propose a new challenging task namely IDentity Stylization (IDS) across heterogeneous domains.

Style Transfer

Intent Contrastive Learning for Sequential Recommendation

1 code implementation5 Feb 2022 Yongjun Chen, Zhiwei Liu, Jia Li, Julian McAuley, Caiming Xiong

Specifically, we introduce a latent variable to represent users' intents and learn the distribution function of the latent variable via clustering.

Contrastive Learning Model Optimization +3

RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems

1 code implementation12 Jan 2022 Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong

Robust machine learning is an increasingly important topic that focuses on developing models resilient to various forms of imperfect data.

Recommendation Systems

Deconvolutional Networks on Graph Data

no code implementations NeurIPS 2021 Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng

In this paper, we consider an inverse problem in graph learning domain -- ``given the graph representations smoothed by Graph Convolutional Network (GCN), how can we reconstruct the input graph signal?"

Graph Learning Imputation

Receptive Field Broadening and Boosting for Salient Object Detection

no code implementations15 Oct 2021 Mingcan Ma, Changqun Xia, Chenxi Xie, Xiaowu Chen, Jia Li

Moreover, Unlike multi-path parallel training, MHB randomly selects one branch each time for gradient back propagation in a boosting way.

object-detection Object Detection +2

Deconfounded Causal Collaborative Filtering

1 code implementation14 Oct 2021 Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang

Experiments on real-world datasets show that our method is able to deconfound unobserved confounders to achieve better recommendation performance.

Collaborative Filtering Recommendation Systems

Transformer-based Dual Relation Graph for Multi-label Image Recognition

1 code implementation ICCV 2021 Jiawei Zhao, Ke Yan, Yifan Zhao, Xiaowei Guo, Feiyue Huang, Jia Li

Different from these researches, in this paper, we propose a novel Transformer-based Dual Relation learning framework, constructing complementary relationships by exploring two aspects of correlation, i. e., structural relation graph and semantic relation graph.

Multi-Label Classification

Universal Face Restoration With Memorized Modulation

no code implementations3 Oct 2021 Jia Li, Huaibo Huang, Xiaofei Jia, Ran He

Blind face restoration (BFR) is a challenging problem because of the uncertainty of the degradation patterns.

Blind Face Restoration

Self-supervised Learning for Sequential Recommendation with Model Augmentation

no code implementations29 Sep 2021 Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong

However, existing methods all construct views by adopting augmentation from data perspectives, while we argue that 1) optimal data augmentation methods are hard to devise, 2) data augmentation methods destroy sequential correlations, and 3) data augmentation fails to incorporate comprehensive self-supervised signals.

Contrastive Learning Data Augmentation +2

Modeling Dynamic Attributes for Next Basket Recommendation

no code implementations23 Sep 2021 Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian McAuley, Caiming Xiong

However, properly integrating them into user interest models is challenging since attribute dynamics can be diverse such as time-interval aware, periodic patterns (etc.

Next-basket recommendation

Heterogeneous Relational Complement for Vehicle Re-identification

1 code implementation ICCV 2021 Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian

The crucial problem in vehicle re-identification is to find the same vehicle identity when reviewing this object from cross-view cameras, which sets a higher demand for learning viewpoint-invariant representations.

Vehicle Re-Identification

Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing

1 code implementation15 Sep 2021 Dong Zhao, Jia Li, Hongyu Li, Long Xu

In this paper, firstly, we propose a new complementary feature enhanced framework, in which the complementary features are learned by several complementary subtasks and then together serve to boost the performance of the primary task.

Image Dehazing Image Generation +2

Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification

1 code implementation8 Sep 2021 Zhongxing Ma, Yifan Zhao, Jia Li

Therefore, we propose a Pose-guided inter-and intra-part relational transformer (Pirt) for occluded person Re-Id, which builds part-aware long-term correlations by introducing transformers.

Person Re-Identification

RGB-D Salient Object Detection with Ubiquitous Target Awareness

no code implementations8 Sep 2021 Yifan Zhao, Jiawei Zhao, Jia Li, Xiaowu Chen

To construct our framework as well as achieving accurate salient detection results, we propose a Ubiquitous Target Awareness (UTA) network to solve three important challenges in RGB-D SOD task: 1) a depth awareness module to excavate depth information and to mine ambiguous regions via adaptive depth-error weights, 2) a spatial-aware cross-modal interaction and a channel-aware cross-level interaction, exploiting the low-level boundary cues and amplifying high-level salient channels, and 3) a gated multi-scale predictor module to perceive the object saliency in different contextual scales.

object-detection Representation Learning +3

Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

1 code implementation ICCV 2021 Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian

This observation leads to more explanations of the CNN's generalization behaviors in both robustness to common perturbations and out-of-distribution detection, and motivates a new perspective on data augmentation designed by re-combing the phase spectrum of the current image and the amplitude spectrum of the distracter image.

Adversarial Attack Data Augmentation +2

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

1 code implementation14 Aug 2021 Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian McAuley, Caiming Xiong

In this paper, we investigate the application of contrastive Self-Supervised Learning (SSL) to the sequential recommendation, as a way to alleviate some of these issues.

Contrastive Learning Self-Supervised Learning +1

Mixture of Linear Models Co-supervised by Deep Neural Networks

no code implementations5 Aug 2021 Beomseok Seo, Lin Lin, Jia Li

Our main idea is a mixture of discriminative models that is trained with the guidance from a DNN.

Decision Making Explainable Models

Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation

1 code implementation7 Jul 2021 Jia Li, Linhua Xiang, Jiwei Chen, Zengfu Wang

Given an image, we employ an Hourglass Network to infer all the keypoints from different persons indiscriminately as well as the guiding offsets connecting the adjacent keypoints belonging to the same persons.

2D Human Pose Estimation Keypoint Detection +1

FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains

no code implementations CVPR 2021 Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, Ran He

In this work, we propose a novel two-stage framework named FaceInpainter to implement controllable Identity-Guided Face Inpainting (IGFI) under heterogeneous domains.

Facial Inpainting Vocal Bursts Intensity Prediction

Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection

no code implementations CVPR 2021 Luwei Hou, Yu Zhang, Kui Fu, Jia Li

Cross-domain weakly supervised object detection aims to adapt object-level knowledge from a fully labeled source domain dataset (i. e. with object bounding boxes) to train object detectors for target domains that are weakly labeled (i. e. with image-level tags).

object-detection Transfer Learning +1

Exploring Driving-aware Salient Object Detection via Knowledge Transfer

1 code implementation18 May 2021 Jinming Su, Changqun Xia, Jia Li

In this network, we construct an attentionbased knowledge transfer module to make up the knowledge difference.

object-detection Object Detection +2

Functional and spatial rewiring jointly generate convergent-divergent units in self-organizing networks

no code implementations30 Mar 2021 Jia Li, Ilias Rentzeperis, Cees van Leeuwen

The prominence of minimizing wiring distance in the dynamic evolution of the network determines the extent to which the core is encapsulated from the rest of the network, i. e., the context-sensitivity of its computations.

Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification

no code implementations23 Feb 2021 Hongzhen Zhong, Hai Wan, Weilin Luo, Zhanhao Xiao, Jia Li, Biqing Fang

By taking experiments on a set of cases, we show that LOGION effectively exploits the structural similarity of BCs.

Mask-GVAE: Blind Denoising Graphs via Partition

1 code implementation8 Feb 2021 Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng

We present Mask-GVAE, a variational generative model for blind denoising large discrete graphs, in which "blind denoising" means we don't require any supervision from clean graphs.


Graph Autoencoders with Deconvolutional Networks

no code implementations22 Dec 2020 Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins

Recent studies have indicated that Graph Convolutional Networks (GCNs) act as a \emph{low pass} filter in spectral domain and encode smoothed node representations.

Graph Generation

Learning Open Set Network with Discriminative Reciprocal Points

1 code implementation ECCV 2020 Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, ShiLiang Pu, Yonghong Tian

In this process, one of the key challenges is to reduce the risk of generalizing the inherent characteristics of numerous unknown samples learned from a small amount of known data.

Open Set Learning

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

2 code implementations ICLR 2021 Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong

Dialogue state trackers have made significant progress on benchmark datasets, but their generalization capability to novel and realistic scenarios beyond the held-out conversations is less understood.

Ranked #2 on Multi-domain Dialogue State Tracking on MULTIWOZ 2.1 (using extra training data)

counterfactual Dialogue State Tracking +1

TUTA: Tree-based Transformers for Generally Structured Table Pre-training

1 code implementation21 Oct 2020 Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang

First, we devise a unified tree-based structure, called a bi-dimensional coordinate tree, to describe both the spatial and hierarchical information of generally structured tables.

Dirichlet Graph Variational Autoencoder

1 code implementation NeurIPS 2020 Jia Li, Tomasyu Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang

In this work, we present Dirichlet Graph Variational Autoencoder (DGVAE) with graph cluster memberships as latent factors.

Clustering Graph Clustering +1

DanceIt: Music-inspired Dancing Video Synthesis

1 code implementation17 Sep 2020 Xin Guo, Yifan Zhao, Jia Li

To explore the relationship between music and dance movements, we propose a cross-modal alignment module that focuses on dancing video clips, accompanied on pre-designed music, to learn a system that can judge the consistency between the visual features of pose sequences and the acoustic features of music.

Intrinsic Relationship Reasoning for Small Object Detection

no code implementations2 Sep 2020 Kui Fu, Jia Li, Lin Ma, Kai Mu, Yonghong Tian

In this paper, we propose a novel context reasoning approach for small object detection which models and infers the intrinsic semantic and spatial layout relationships between objects.

object-detection Small Object Detection

Cooperative Bi-path Metric for Few-shot Learning

1 code implementation10 Aug 2020 Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian

Given base classes with sufficient labeled samples, the target of few-shot classification is to recognize unlabeled samples of novel classes with only a few labeled samples.

Classification Few-Shot Learning +1

Permutation-based tests for discontinuities in event studies

no code implementations20 Jul 2020 Federico A. Bugni, Jia Li, Qiyuan Li

Under a high-level condition that the observed data can be coupled by a collection of conditionally independent variables, we establish the asymptotic validity of the permutation test, allowing the sizes of the local subsamples to be either be fixed or grow to infinity.

Test Time Series +1

SEKD: Self-Evolving Keypoint Detection and Description

1 code implementation9 Jun 2020 Yafei Song, Ling Cai, Jia Li, Yonghong Tian, Mingyang Li

Researchers have attempted utilizing deep neural network (DNN) to learn novel local features from images inspired by its recent successes on a variety of vision tasks.

Homography Estimation Keypoint Detection

Is Depth Really Necessary for Salient Object Detection?

1 code implementation30 May 2020 Jia-Wei Zhao, Yifan Zhao, Jia Li, Xiaowu Chen

To solve this, many recent RGBD-based networks are proposed by adopting the depth map as an independent input and fuse the features with RGB information.

object-detection RGB-D Salient Object Detection +2

Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network

no code implementations1 Apr 2020 Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang

In this paper, we propose a novel and more flexible GCN model with a feature encoder that adaptively updates the adjacency matrix during learning and demonstrate that this model design leads to improved performance.

Classification General Classification

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

no code implementations27 Feb 2020 Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip Yu, Caiming Xiong

There is an increasing amount of literature that claims the brittleness of deep neural networks in dealing with adversarial examples that are created maliciously.

Question Answering Sentiment Analysis

Adversarial Attack on Community Detection by Hiding Individuals

1 code implementation22 Jan 2020 Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang

It has been demonstrated that adversarial graphs, i. e., graphs with imperceptible perturbations added, can cause deep graph models to fail on node/graph classification tasks.

Adversarial Attack Community Detection +1

Single Image Dehazing Using Ranking Convolutional Neural Network

no code implementations15 Jan 2020 Yafei Song, Jia Li, Xiaogang Wang, Xiaowu Chen

To obtain effective features for single image dehazing, this paper presents a novel Ranking Convolutional Neural Network (Ranking-CNN).

Image Dehazing Single Image Dehazing

Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss

1 code implementation18 Dec 2019 Jia Li, Jinming Su, Changqun Xia, Mingcan Ma, Yonghong Tian

Through these two attentions, we use the Purificatory Mechanism to impose strict weights with different regions of the whole salient objects and purify results from hard-to-distinguish regions, thus accurately predicting the locations and details of salient objects.

object-detection RGB Salient Object Detection +1

Zooming into Face Forensics: A Pixel-level Analysis

no code implementations12 Dec 2019 Jia Li, Tong Shen, Wei zhang, Hui Ren, Dan Zeng, Tao Mei

The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society.

Classification General Classification +1

Deep Variable-Block Chain with Adaptive Variable Selection

no code implementations7 Dec 2019 Lixiang Zhang, Lin Lin, Jia Li

In this paper, we propose a framework that imposes on blocks of variables a chain structure obtained by step-wise greedy search so that the DNN architecture can leverage the constructed grid.

Variable Selection

Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

no code implementations ICCV 2019 Limeng Qiao, Yemin Shi, Jia Li, Yao-Wei Wang, Tiejun Huang, Yonghong Tian

By solving the problem with its closed-form solution on the fly with the setup of transduction, our approach efficiently tailors an episodic-wise metric for each task to adapt all features from a shared task-agnostic embedding space into a more discriminative task-specific metric space.

Few-Shot Learning Metric Learning

Word embedding re-examined: is the symmetrical factorization optimal?

no code implementations25 Sep 2019 Zhichao Han, Jia Li, Xu Li, Hong Cheng

Such linear transformation will result in these good properties.

Near-Zero-Cost Differentially Private Deep Learning with Teacher Ensembles

no code implementations25 Sep 2019 Lichao Sun, Yingbo Zhou, Jia Li, Richard Socher, Philip S. Yu, Caiming Xiong

Ensuring the privacy of sensitive data used to train modern machine learning models is of paramount importance in many areas of practice.

Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning

no code implementations18 Sep 2019 Changqun Xia, Jia Li, Jinming Su, Yonghong Tian

Typically, objects with the same semantics are not always prominent in images containing different backgrounds.

Multi-Task Learning object-detection +2

Distortion-adaptive Salient Object Detection in 360$^\circ$ Omnidirectional Images

no code implementations11 Sep 2019 Jia Li, Jinming Su, Changqun Xia, Yonghong Tian

Moreover, benchmarking results of the proposed baseline approach and other methods on 360$^\circ$ SOD dataset show the proposed dataset is very challenging, which also validate the usefulness of the proposed dataset and approach to boost the development of SOD on 360$^\circ$ omnidirectional scenes.

Benchmarking object-detection +2

Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization

no code implementations3 Aug 2019 Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li

For better performance, the features used for open-loop localization are required to be short-term globally static, and the ones used for re-localization or loop closure detection need to be long-term static.

Loop Closure Detection

Cartoon Face Recognition: A Benchmark Dataset

1 code implementation31 Jul 2019 Yi Zheng, Yifan Zhao, Mengyuan Ren, He Yan, Xiangju Lu, Junhui Liu, Jia Li

Recent years have witnessed increasing attention in cartoon media, powered by the strong demands of industrial applications.

Domain Adaptation Face Detection +4

Private Deep Learning with Teacher Ensembles

no code implementations5 Jun 2019 Lichao Sun, Yingbo Zhou, Ji Wang, Jia Li, Richard Sochar, Philip S. Yu, Caiming Xiong

Privacy-preserving deep learning is crucial for deploying deep neural network based solutions, especially when the model works on data that contains sensitive information.

Ensemble Learning Knowledge Distillation +2

Predicting Path Failure In Time-Evolving Graphs

2 code implementations10 May 2019 Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan

Through experiments on a real-world telecommunication network and a traffic network in California, we demonstrate the superiority of LRGCN to other competing methods in path failure prediction, and prove the effectiveness of SAPE on path representation.

Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets

no code implementations17 Apr 2019 Jia Li, Xing Wei, Guoqiang Yang, Xiao Sun, Changliang Li

A multiscale shared convolution structure is adopted in the discriminator network to further supervise training the generator.

Autonomous Driving Test

Reinforcement Learning Based Emotional Editing Constraint Conversation Generation

no code implementations17 Apr 2019 Jia Li, Xiao Sun, Xing Wei, Changliang Li, Jian-Hua Tao

In recent years, the generation of conversation content based on deep neural networks has attracted many researchers.

Multi-Task Learning reinforcement-learning +1

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

1 code implementation10 Apr 2019 Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, Junzhou Huang

We study the node classification problem in the hierarchical graph where a `node' is a graph instance, e. g., a user group in the above example.

General Classification Graph Classification +3

Image Quality Assessment for Omnidirectional Cross-reference Stitching

no code implementations10 Apr 2019 Kaiwen Yu, Jia Li, Yu Zhang, Yifan Zhao, Long Xu

Along with the development of virtual reality (VR), omnidirectional images play an important role in producing multimedia content with immersive experience.

Image Quality Assessment Image Stitching

Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency

no code implementations10 Apr 2019 Jia Li, Kui Fu, Shengwei Zhao, Shiming Ge

In this approach, five components are involved, including two teachers, two students and the desired spatiotemporal model.

Knowledge Distillation Saliency Prediction

Ultrafast Video Attention Prediction with Coupled Knowledge Distillation

no code implementations9 Apr 2019 Kui Fu, Peipei Shi, Yafei Song, Shiming Ge, Xiangju Lu, Jia Li

To address these issues, we design an extremely light-weight network with ultrafast speed, named UVA-Net.

Knowledge Distillation

Harmonic Unpaired Image-to-image Translation

no code implementations ICLR 2019 Rui Zhang, Tomas Pfister, Jia Li

The recent direction of unpaired image-to-image translation is on one hand very exciting as it alleviates the big burden in obtaining label-intensive pixel-to-pixel supervision, but it is on the other hand not fully satisfactory due to the presence of artifacts and degenerated transformations.

Image-to-Image Translation Translation

Selectivity or Invariance: Boundary-aware Salient Object Detection

no code implementations ICCV 2019 Jinming Su, Jia Li, Yu Zhang, Changqun Xia, Yonghong Tian

In this network, the feature selectivity at boundaries is enhanced by incorporating a boundary localization stream, while the feature invariance at interiors is guaranteed with a complex interior perception stream.

object-detection RGB Salient Object Detection +1

Visual Attention on the Sun: What Do Existing Models Actually Predict?

no code implementations25 Nov 2018 Jia Li, Daowei Li, Kui Fu, Long Xu

Visual attention prediction is a classic problem that seems to be well addressed in the deep learning era.

Benchmarking Deep Attention

Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation

no code implementations25 Nov 2018 Shiming Ge, Shengwei Zhao, Chenyu Li, Jia Li

In this approach, a two-stream convolutional neural network (CNN) is first initialized to recognize high-resolution faces and resolution-degraded faces with a teacher stream and a student stream, respectively.

Face Model Face Recognition +1

Complementary Segmentation of Primary Video Objects with Reversible Flows

no code implementations23 Nov 2018 Jia Li, Junjie Wu, Anlin Zheng, Yafei Song, Yu Zhang, Xiaowu Chen

Segmenting primary objects in a video is an important yet challenging problem in computer vision, as it exhibits various levels of foreground/background ambiguities.

Superpixels Video Semantic Segmentation

Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction

no code implementations14 Nov 2018 Kui Fu, Jia Li, Yu Zhang, Hongze Shen, Yonghong Tian

After that, the visual saliency knowledge encoded in the most representative paths is selected and aggregated to improve the capability of MM-Net in predicting spatial saliency in aerial scenarios.

Aerial Video Saliency Prediction Transfer Learning +1

Forecasting People's Needs in Hurricane Events from Social Network

no code implementations12 Nov 2018 Long Nguyen, Zhou Yang, Jia Li, Guofeng Cao, Fang Jin

Our proposed sequence to sequence method forecast people's needs more successfully than either of the other models.