Search Results for author: Dong Wang

Found 243 papers, 89 papers with code

Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text

no code implementations20 Sep 2023 Xuyang Chen, Dong Wang, Konrad Schindler, Mingwei Sun, Yongliang Wang, Nicolo Savioli, Liqiu Meng

Recently, Transformer-based text detection techniques have sought to predict polygons by encoding the coordinates of individual boundary vertices using distinct query features.

regression Text Detection

Leveraging the Power of Data Augmentation for Transformer-based Tracking

no code implementations15 Sep 2023 Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu

Due to long-distance correlation and powerful pretrained models, transformer-based methods have initiated a breakthrough in visual object tracking performance.

Data Augmentation Visual Object Tracking

BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction

no code implementations17 Aug 2023 Dong Wang, Kavé Salamatian, Yunqing Xia, Weiwei Deng, Qi Zhiang

Although deep pre-trained language models have shown promising benefit in a large set of industrial scenarios, including Click-Through-Rate (CTR) prediction, how to integrate pre-trained language models that handle only textual signals into a prediction pipeline with non-textual features is challenging.

Click-Through Rate Prediction Dimensionality Reduction +1

Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking

1 code implementation14 Aug 2023 Ben Kang, Xin Chen, Dong Wang, Houwen Peng, Huchuan Lu

The Bridge Module incorporates the high-level information of deep features into the shallow large-resolution features.

Visual Tracking

Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

1 code implementation1 Aug 2023 Mingzhan Yang, Guangxin Han, Bin Yan, Wenhua Zhang, Jinqing Qi, Huchuan Lu, Dong Wang

Furthermore, our method shows strong generalization for diverse trackers and scenarios in a plug-and-play and training-free manner.

Multi-Object Tracking Online Multi-Object Tracking

Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier

1 code implementation22 Jul 2023 Zhixing Zhang, Ziwei Zhao, Dong Wang, Shishuang Zhao, Yuhang Liu, Jia Liu, LiWei Wang

Automatic labeling of coronary arteries is an essential task in the practical diagnosis process of cardiovascular diseases.


A Collaborative Transfer Learning Framework for Cross-domain Recommendation

no code implementations26 Jun 2023 Wei zhang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang

The disadvantage of the former is that the data from other domains is not utilized by a single domain model, while the latter leverage all the data from different domains, but the fine-tuned model of transfer learning may trap the model in a local optimum of the source domain, making it difficult to fit the target domain.

Click-Through Rate Prediction Recommendation Systems +1

HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models

no code implementations21 Jun 2023 Chanyue Wu, Dong Wang, Hanyu Mao, Ying Li

Despite the proven significance of hyperspectral images (HSIs) in performing various computer vision tasks, its potential is adversely affected by the low-resolution (LR) property in the spatial domain, resulting from multiple physical factors.

Denoising Image Super-Resolution

Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

no code implementations12 Jun 2023 AnLan Sun, Zhao Zhang, Meng Lei, Yuting Dai, Dong Wang, LiWei Wang

The coherence loss uses the feature centers generated by the static images to guide the frame attention in the video model.

Video Classification

Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction

no code implementations5 Jun 2023 Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang

It consists of a multi-interest graph structure for capturing long-term user behavior, a multi-scenario heterogeneous sequence model for modeling short-term information, then an adaptive fusion mechanism to fused information from long-term and short-term behaviors.

Click-Through Rate Prediction

Safe Offline Reinforcement Learning with Real-Time Budget Constraints

1 code implementation1 Jun 2023 Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

Aiming at promoting the safe real-world deployment of Reinforcement Learning (RL), research on safe RL has made significant progress in recent years.

reinforcement-learning Reinforcement Learning (RL)

Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

1 code implementation29 May 2023 Haojun Yu, Youcheng Li, Quanlin Wu, Ziwei Zhao, Dengbo Chen, Dong Wang, LiWei Wang

To address this issue, we propose to extract contexts from previous frames, including NTC, with the guidance of inverse optical flow.

Lesion Detection object-detection +2

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

1 code implementation29 May 2023 Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li

Specifically, we propose Multi-Task Diffusion Model (\textsc{MTDiff}), a diffusion-based method that incorporates Transformer backbones and prompt learning for generative planning and data synthesis in multi-task offline settings.

Reinforcement Learning (RL)

Cross-Domain Policy Adaptation via Value-Guided Data Filtering

no code implementations28 May 2023 Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li

Specifically, we present the Value-Guided Data Filtering (VGDF) algorithm, which selectively shares transitions from the source domain based on the proximity of paired value targets across the two domains.

Spot keywords from very noisy and mixed speech

no code implementations28 May 2023 Ying Shi, Dong Wang, Lantian Li, Jiqing Han, Shi Yin

We propose a novel Mix Training (MT) strategy that encourages the model to discover low-energy keywords from noisy and mixed speech.

Data Augmentation Keyword Spotting

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning

1 code implementation27 May 2023 Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang

With emerging online topics as a source for numerous new events, detecting unseen / rare event types presents an elusive challenge for existing event detection methods, where only limited data access is provided for training.

Event Detection Meta-Learning

CN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognition

no code implementations25 May 2023 Lantian Li, Xiaolou Li, Haoyu Jiang, Chen Chen, Ruihai Hou, Dong Wang

A comprehensive study was conducted to compare CN-Celeb-AV with two popular public AVPR benchmark datasets, and the results demonstrated that CN-Celeb-AV is more in line with real-world scenarios and can be regarded as a new benchmark dataset for AVPR research.

Person Recognition

Ordered and Binary Speaker Embedding

no code implementations25 May 2023 Jiaying Wang, Xianglong Wang, Namin Wang, Lantian Li, Dong Wang

Modern speaker recognition systems represent utterances by embedding vectors.

Clustering Retrieval +2

Neural Image Re-Exposure

1 code implementation23 May 2023 Xinyu Zhang, Hefei Huang, Xu Jia, Dong Wang, Huchuan Lu

In this work, we aim to re-expose the captured photo in post-processing to provide a more flexible way of addressing those issues within a unified framework.

Ranked #4 on Deblurring on GoPro (using extra training data)

Deblurring Joint Deblur and Frame Interpolation +5

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning

1 code implementation22 May 2023 Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang

As such, MetaAdapt can learn how to adapt the misinformation detection model and exploit the source data for improved performance in the target domain.

Meta-Learning Misinformation +1

Representing Input Transformations by Low-Dimensional Parameter Subspaces

1 code implementation22 May 2023 Olga Saukh, Dong Wang, Xiaoxi He, Lothar Thiele

Deep models lack robustness to simple input transformations such as rotation, scaling, and translation, unless they feature a particular invariant architecture or undergo specific training, e. g., learning the desired robustness from data augmentations.

Audio Signal Processing

Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning

no code implementations24 Apr 2023 Pengcheng Ai, Le Xiao, Zhi Deng, Yi Wang, Xiangming Sun, Guangming Huang, Dong Wang, Yulei Li, Xinchi Ran

We mathematically demonstrate the existence of the optimal function desired by the method, and give a systematic algorithm for training and calibration of the model.

Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results

1 code implementation12 Apr 2023 Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng

Leveraging the WFAS dataset and Protocol 1 (Known-Type), we host the Wild Face Anti-Spoofing Challenge at the CVPR2023 workshop.

Face Anti-Spoofing Face Recognition

Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement

1 code implementation3 Apr 2023 Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao

The popularity of Contrastive Language-Image Pre-training (CLIP) has propelled its application to diverse downstream vision tasks.

Few-Shot Learning

Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction

1 code implementation31 Mar 2023 Delin Qu, Yizhen Lao, Zhigang Wang, Dong Wang, Bin Zhao, Xuelong Li

This paper addresses the problem of rolling shutter correction in complex nonlinear and dynamic scenes with extreme occlusion.

Rolling Shutter Correction

ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance

1 code implementation29 Mar 2023 Zoey Guo, Yiwen Tang, Ray Zhang, Dong Wang, Zhigang Wang, Bin Zhao, Xuelong Li

In this paper, we propose ViewRefer, a multi-view framework for 3D visual grounding exploring how to grasp the view knowledge from both text and 3D modalities.

Visual Grounding

Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking

no code implementations CVPR 2023 Yihao Wang, Zhigang Wang, Bin Zhao, Dong Wang, Mulin Chen, Xuelong Li

In contrast, we propose a purely passive method to track a person walking in an invisible room by only observing a relay wall, which is more in line with real application scenarios, e. g., security.

Visual Prompt Multi-Modal Tracking

1 code implementation CVPR 2023 Jiawen Zhu, Simiao Lai, Xin Chen, Dong Wang, Huchuan Lu

To inherit the powerful representations of the foundation model, a natural modus operandi for multi-modal tracking is full fine-tuning on the RGB-based parameters.

Object Tracking

Fully Self-Supervised Depth Estimation from Defocus Clue

1 code implementation CVPR 2023 Haozhe Si, Bin Zhao, Dong Wang, Yunpeng Gao, Mulin Chen, Zhigang Wang, Xuelong Li

We show that our framework circumvents the needs for the depth and AIF image ground-truth, and receives superior predictions, thus closing the gap between the theoretical success of DFD works and their applications in the real world.

Depth Estimation

Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation

1 code implementation17 Mar 2023 Dongsheng Wang, Xu Jia, Yang Zhang, Xinyu Zhang, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu

To fully exploit information with event streams to detect objects, a dual-memory aggregation network (DMANet) is proposed to leverage both long and short memory along event streams to aggregate effective information for object detection.

object-detection Object Detection

Universal Instance Perception as Object Discovery and Retrieval

1 code implementation CVPR 2023 Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu

All instance perception tasks aim at finding certain objects specified by some queries such as category names, language expressions, and target annotations, but this complete field has been split into multiple independent subtasks.

Generalized Referring Expression Comprehension Multi-Object Tracking and Segmentation +14

PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce

1 code implementation6 Feb 2023 Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang

Then we design a novel omnidirectional attention mechanism in OCPM to capture the context information in the permutation.


A Deep Behavior Path Matching Network for Click-Through Rate Prediction

no code implementations1 Feb 2023 Jian Dong, Yisong Yu, Yapeng Zhang, Yimin Lv, Shuli Wang, Beihong Jin, Yongkang Wang, Xingxing Wang, Dong Wang

User behaviors on an e-commerce app not only contain different kinds of feedback on items but also sometimes imply the cognitive clue of the user's decision-making.

Click-Through Rate Prediction Contrastive Learning +1

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

no code implementations28 Nov 2022 Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang

Our key intuition is that we introduce the decision factor to establish a bridge between ML and OR such that the solution can be directly obtained in OR by only performing the sorting or comparison operations on the decision factor.

Decision Making Marketing

Wasserstein Archetypal Analysis

no code implementations25 Oct 2022 Katy Craig, Braxton Osting, Dong Wang, Yiming Xu

We prove a consistency result for the regularized problem, ensuring that if the data are iid samples from a probability measure, then as the number of samples is increased, a subsequence of the archetype points converges to the archetype points for the limiting data distribution, almost surely.

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation

1 code implementation19 Oct 2022 Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang

Unlike existing approaches, we generate pseudo labels and propose to train the model via a novel attention-based contrastive adaptation method.

Contrastive Learning Data Augmentation +2

Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup

no code implementations6 Oct 2022 Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang

Moreover, we leverage the power of domain adversarial examples to establish an intermediate domain mixup, where the latent representations of the input text from both domains could be mixed during the training process.

Contrastive Learning Misinformation +1

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks

no code implementations3 Oct 2022 Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang

In many applications with real-world consequences, it is crucial to develop reliable uncertainty estimation for the predictions made by the AI decision systems.

Adversarial Attack

Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression

no code implementations26 Sep 2022 Tingyu Fan, Linyao Gao, Yiling Xu, Dong Wang, Zhu Li

Besides, we propose a residual coding framework for the compression of the latent variable, which explores the spatial correlation of each layer by progressive downsampling, and model the corresponding residual with a fully-factorized entropy model.

PointScatter: Point Set Representation for Tubular Structure Extraction

1 code implementation13 Sep 2022 Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, LiWei Wang

Inspired by this, we propose PointScatter, an alternative to the segmentation models for the tubular structure extraction task.

Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection

no code implementations13 Sep 2022 Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, LiWei Wang

In mammogram mass detection, modeling pairwise lesion correspondence explicitly is particularly important.

Lesion Detection

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis

1 code implementation5 Sep 2022 Qian Chen, Xingjian Dong, Guowei Tu, Dong Wang, Baoxuan Zhao, Zhike Peng

However, the CNN is a typical black-box model, and the mechanism of CNN's decision-making are not clear, which limits its application in high-reliability-required fault diagnosis scenarios.

Decision Making

Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19

2 code implementations20 Aug 2022 Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang

However, early misinformation often demonstrates both conditional and label shifts against existing misinformation data (e. g., class imbalance in COVID-19 datasets), rendering such methods less effective for detecting early misinformation.

Domain Adaptation Misinformation

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation

no code implementations11 Aug 2022 Yuxiang Shi, Yue Ding, Bo Chen, YuYang Huang, Ruiming Tang, Dong Wang

In this paper, we propose a Task aligned Meta-learning based Augmented Graph (TMAG) to address cold-start recommendation.

Meta-Learning Recommendation Systems

Towards Grand Unification of Object Tracking

1 code implementation14 Jul 2022 Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu

We present a unified method, termed Unicorn, that can simultaneously solve four tracking problems (SOT, MOT, VOS, MOTS) with a single network using the same model parameters.

Multi-Object Tracking Multi-Object Tracking and Segmentation +2

SRRT: Search Region Regulation Tracking

no code implementations10 Jul 2022 Jiawen Zhu, Xin Chen, Pengyu Zhang, Xinying Wang, Dong Wang, Wenda Zhao, Huchuan Lu

Trackers tend to lose the target object due to the limited search region or be interfered with by distractors due to the excessive search region.

Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

3 code implementations28 May 2022 Renrui Zhang, Ziyu Guo, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao, Hongsheng Li, Peng Gao

By fine-tuning on downstream tasks, Point-M2AE achieves 86. 43% accuracy on ScanObjectNN, +3. 36% to the second-best, and largely benefits the few-shot classification, part segmentation and 3D object detection with the hierarchical pre-training scheme.

Ranked #3 on 3D Point Cloud Linear Classification on ModelNet40 (using extra training data)

3D Object Detection 3D Point Cloud Linear Classification +5

Vision-based Anti-UAV Detection and Tracking

1 code implementation22 May 2022 Jie Zhao, Jingshu Zhang, Dongdong Li, Dong Wang

It contains a detection dataset with a total of 10, 000 images and a tracking dataset with 20 videos that include short-term and long-term sequences.

NMA: Neural Multi-slot Auctions with Externalities for Online Advertising

no code implementations20 May 2022 Guogang Liao, Xuejian Li, Ze Wang, Fan Yang, Muzhi Guan, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang

Although VCG-based multi-slot auctions (e. g., VCG, WVCG) make it theoretically possible to model global externalities (e. g., the order and positions of ads and so on), they lack an efficient balance of both revenue and social welfare.

D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction

1 code implementation2 May 2022 Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang

This paper proposes a novel 3D sparse convolution-based Deep Dynamic Point Cloud Compression (D-DPCC) network to compensate and compress the DPC geometry with 3D motion estimation and motion compensation in the feature space.

Motion Compensation Motion Estimation +2

Evolving Programmable Computational Metamaterials

1 code implementation19 Apr 2022 Atoosa Parsa, Dong Wang, Corey S. O'Hern, Mark D. Shattuck, Rebecca Kramer-Bottiglio, Josh Bongard

Granular metamaterials are a promising choice for the realization of mechanical computing devices.

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

no code implementations CVPR 2022 Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiang Ruan

With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to achieve robust performance and wider application scenarios with the guidance of objects' temperature information.

Object Tracking Rgb-T Tracking

Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation

no code implementations2 Apr 2022 Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang

Ads allocation, which involves allocating ads and organic items to limited slots in feed with the purpose of maximizing platform revenue, has become a research hotspot.

reinforcement-learning Reinforcement Learning (RL)

Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks

no code implementations2 Apr 2022 Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

With the recent prevalence of reinforcement learning (RL), there have been tremendous interests in utilizing RL for ads allocation in recommendation platforms (e. g., e-commerce and news feed sites).

Contrastive Learning Reinforcement Learning (RL)

Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation

no code implementations1 Apr 2022 Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

A mixed list of ads and organic items is usually displayed in feed and how to allocate the limited slots to maximize the overall revenue is a key problem.

Click-Through Rate Prediction reinforcement-learning +1

Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation

no code implementations29 Mar 2022 Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang

Modern smart sensor-based energy management systems leverage non-intrusive load monitoring (NILM) to predict and optimize appliance load distribution in real-time.

energy management Inductive Bias +2

Balanced Multimodal Learning via On-the-fly Gradient Modulation

1 code implementation CVPR 2022 Xiaokang Peng, Yake Wei, Andong Deng, Dong Wang, Di Hu

Multimodal learning helps to comprehensively understand the world, by integrating different senses.

Efficient Visual Tracking via Hierarchical Cross-Attention Transformer

1 code implementation25 Mar 2022 Xin Chen, Ben Kang, Dong Wang, Dongdong Li, Huchuan Lu

Most state-of-the-art trackers are satisfied with the real-time speed on powerful GPUs.

Visual Tracking

High-Performance Transformer Tracking

1 code implementation25 Mar 2022 Xin Chen, Bin Yan, Jiawen Zhu, Huchuan Lu, Xiang Ruan, Dong Wang

First, we present a transformer tracking (named TransT) method based on the Siamese-like feature extraction backbone, the designed attention-based fusion mechanism, and the classification and regression head.

Vocal Bursts Intensity Prediction

Neural Topic Modeling with Deep Mutual Information Estimation

no code implementations12 Mar 2022 Kang Xu, Xiaoqiu Lu, Yuan-Fang Li, Tongtong Wu, Guilin Qi, Ning Ye, Dong Wang, Zheng Zhou

NTM-DMIE is a neural network method for topic learning which maximizes the mutual information between the input documents and their latent topic representation.

Mutual Information Estimation Text Clustering +1

Rényi State Entropy for Exploration Acceleration in Reinforcement Learning

1 code implementation8 Mar 2022 Mingqi Yuan, Man-on Pun, Dong Wang

One of the most critical challenges in deep reinforcement learning is to maintain the long-term exploration capability of the agent.

reinforcement-learning Reinforcement Learning (RL)

Show, Deconfound and Tell: Image Captioning With Causal Inference

1 code implementation CVPR 2022 Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao

In the encoding stage, the IOD is able to disentangle the region-based visual features by deconfounding the visual confounder.

Causal Inference Image Captioning

Real Additive Margin Softmax for Speaker Verification

1 code implementation18 Oct 2021 Lantian Li, Ruiqian Nai, Dong Wang

The additive margin softmax (AM-Softmax) loss has delivered remarkable performance in speaker verification.

Speaker Verification

CycleFlow: Purify Information Factors by Cycle Loss

no code implementations18 Oct 2021 Haoran Sun, Chen Chen, Lantian Li, Dong Wang

SpeechFlow is a powerful factorization model based on information bottleneck (IB), and its effectiveness has been reported by several studies.

Voice Conversion

Speech-MLP: a simple MLP architecture for speech processing

no code implementations29 Sep 2021 Chao Xing, Dong Wang, LiRong Dai, Qun Liu, Anderson Avila

Overparameterized transformer-based architectures have shown remarkable performance in recent years, achieving state-of-the-art results in speech processing tasks such as speech recognition, speech synthesis, keyword spotting, and speech enhancement et al.

Keyword Spotting Speech Enhancement +3

Generating High-Fidelity Privacy-Conscious Synthetic Patient Data for Causal Effect Estimation with Multiple Treatments

no code implementations29 Sep 2021 Jingpu Shi, Dong Wang, Gino Tesei, Beau Norgeot

Validation of these models, however, has been a challenge because the ground truth is unknown: only one treatment-outcome pair for each person can be observed.

Causal Inference

Extracting Attentive Social Temporal Excitation for Sequential Recommendation

no code implementations28 Sep 2021 Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang

In this paper, we propose a novel time-aware sequential recommendation framework called Social Temporal Excitation Networks (STEN), which introduces temporal point processes to model the fine-grained impact of friends' behaviors on the user s dynamic interests in an event-level direct paradigm.

Collaborative Filtering Graph Embedding +2

ICPE: An Item Cluster-Wise Pareto-Efficient Framework for Recommendation Debiasing

no code implementations27 Sep 2021 Yule Wang, Xin Xin, Yue Ding, Yunzhe Li, Dong Wang

In detail, we define our item cluster-wise optimization target as the recommender model should balance all item clusters that differ in popularity, thus we set the model learning on each item cluster as a unique optimization objective.

Counterfactual Inference Recommendation Systems +1

DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction

no code implementations26 Sep 2021 Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng

In this paper, we propose a novel model named DemiNet (short for DEpendency-Aware Multi-Interest Network}) to address the above two issues.

Click-Through Rate Prediction Denoising +2

Cross DQN: Cross Deep Q Network for Ads Allocation in Feed

1 code implementation9 Sep 2021 Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

Our model results in higher revenue and better user experience than state-of-the-art baselines in offline experiments.

TPRM: A Topic-based Personalized Ranking Model for Web Search

no code implementations13 Aug 2021 Minghui Huang, Wei Peng, Dong Wang

Ranking models have achieved promising results, but it remains challenging to design personalized ranking systems to leverage user profiles and semantic representations between queries and documents.

Document Ranking

GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback

no code implementations13 Aug 2021 Minghui Huang, Dong Wang, Shuang Liu, Meizhen Ding

To leverage the strength of text generation for information retrieval, in this article, we propose a novel approach which effectively integrates text generation models into PRF-based query expansion.

Information Retrieval Retrieval +1

Probabilistic methods for approximate archetypal analysis

no code implementations12 Aug 2021 Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu

Archetypal analysis is an unsupervised learning method for exploratory data analysis.

Video Annotation for Visual Tracking via Selection and Refinement

1 code implementation ICCV 2021 Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang

Deep learning based visual trackers entail offline pre-training on large volumes of video datasets with accurate bounding box annotations that are labor-expensive to achieve.

Visual Tracking

OLR 2021 Challenge: Datasets, Rules and Baselines

no code implementations23 Jul 2021 Binling Wang, Wenxuan Hu, Jing Li, Yiming Zhi, Zheng Li, Qingyang Hong, Lin Li, Dong Wang, Liming Song, Cheng Yang

In addition to the Language Identification (LID) tasks, multilingual Automatic Speech Recognition (ASR) tasks are introduced to OLR 2021 Challenge for the first time.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning

no code implementations19 Jul 2021 Mingqi Yuan, Mon-on Pun, Dong Wang, Yi Chen, Haojun Li

Furthermore, we leverage a variational auto-encoder (VAE) model to capture the life-long novelty of states, which is combined with the global JFI score to form multimodal intrinsic rewards.

Efficient Exploration Fairness +2

Oriental Language Recognition (OLR) 2020: Summary and Analysis

no code implementations5 Jul 2021 Jing Li, Binling Wang, Yiming Zhi, Zheng Li, Lin Li, Qingyang Hong, Dong Wang

The fifth Oriental Language Recognition (OLR) Challenge focuses on language recognition in a variety of complex environments to promote its development.

Dialect Identification

Gradient Importance Learning for Incomplete Observations

1 code implementation ICLR 2022 Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic

Though recent works have developed methods that can generate estimates (or imputations) of the missing entries in a dataset to facilitate downstream analysis, most depend on assumptions that may not align with real-world applications and could suffer from poor performance in subsequent tasks such as classification.

Imputation Reinforcement Learning (RL) +2

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

1 code implementation2 Jul 2021 Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Jing Huang, Chenyang Tao

Successful applications of InfoNCE and its variants have popularized the use of contrastive variational mutual information (MI) estimators in machine learning.

Mutual Information Estimation

CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding

1 code implementation ACL 2021 Dong Wang, Ning Ding, Piji Li, Hai-Tao Zheng

Recent works aimed to improve the robustness of pre-trained models mainly focus on adversarial training from perturbed examples with similar semantics, neglecting the utilization of different or even opposite semantics.

Contrastive Learning Natural Language Understanding +2

AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media

no code implementations21 Jun 2021 Lanyu Shang, Yang Zhang, Yuheng Zha, Yingxi Chen, Christina Youn, Dong Wang

To address the above challenges, we develop a deep learning based Analogy-aware Offensive Meme Detection (AOMD) framework to learn the implicit analogy from the multi-modal contents of the meme and effectively detect offensive analogy memes.

Voting for the right answer: Adversarial defense for speaker verification

1 code implementation15 Jun 2021 Haibin Wu, Yang Zhang, Zhiyong Wu, Dong Wang, Hung-Yi Lee

Automatic speaker verification (ASV) is a well developed technology for biometric identification, and has been ubiquitous implemented in security-critic applications, such as banking and access control.

Adversarial Defense Speaker Verification

A Dataset And Benchmark Of Underwater Object Detection For Robot Picking

no code implementations10 Jun 2021 Chongwei Liu, Haojie Li, Shuchang Wang, Ming Zhu, Dong Wang, Xin Fan, Zhihui Wang

Towards these challenges we introduce a dataset, Detecting Underwater Objects (DUO), and a corresponding benchmark, based on the collection and re-annotation of all relevant datasets.

object-detection Object Detection

A Streaming End-to-End Framework For Spoken Language Understanding

no code implementations20 May 2021 Nihal Potdar, Anderson R. Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen

In this paper, we propose a streaming end-to-end framework that can process multiple intentions in an online and incremental way.

Intent Detection Keyword Spotting +3

Transformer Tracking

1 code implementation CVPR 2021 Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu

The correlation operation is a simple fusion manner to consider the similarity between the template and the search region.

Visual Object Tracking Visual Tracking

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

1 code implementation19 Mar 2021 Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding

To solve the above problem, in this work, we propose a novel method called Adversarial and Contrastive Variational Autoencoder (ACVAE) for sequential recommendation.

Collaborative Filtering Sequential Recommendation

Towards Robust and Efficient Contrastive Textual Representation Learning

no code implementations1 Jan 2021 Liqun Chen, Yizhe Zhang, Dianqi Li, Chenyang Tao, Dong Wang, Lawrence Carin

There has been growing interest in representation learning for text data, based on theoretical arguments and empirical evidence.

Contrastive Learning Representation Learning

Wasserstein Contrastive Representation Distillation

no code implementations CVPR 2021 Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin

The primary goal of knowledge distillation (KD) is to encapsulate the information of a model learned from a teacher network into a student network, with the latter being more compact than the former.

Contrastive Learning Knowledge Distillation +2

Temporal Relational Modeling with Self-Supervision for Action Segmentation

1 code implementation14 Dec 2020 Dong Wang, Di Hu, Xingjian Li, Dejing Dou

The main reason is that large number of nodes (i. e., video frames) makes GCNs hard to capture and model temporal relations in videos.

Action Recognition Action Segmentation +1

Multi-modal Visual Tracking: Review and Experimental Comparison

2 code implementations8 Dec 2020 Pengyu Zhang, Dong Wang, Huchuan Lu

Visual object tracking, as a fundamental task in computer vision, has drawn much attention in recent years.

Rgb-T Tracking Visual Object Tracking

Decoder-side Cross Resolution Synthesis for Video Compression Enhancement

no code implementations1 Dec 2020 Ming Lu, Tong Chen, zhenyu Dai, Dong Wang, Dandan Ding, Zhan Ma

This paper proposes a decoder-side Cross Resolution Synthesis (CRS) module to pursue better compression efficiency beyond the latest Versatile Video Coding (VVC), where we encode intra frames at original high resolution (HR), compress inter frames at a lower resolution (LR), and then super-resolve decoded LR inter frames with the help from preceding HR intra and neighboring LR inter frames.

Motion Compensation Super-Resolution +2

Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition

no code implementations COLING 2020 Dongming Sheng, Dong Wang, Ying Shen, Haitao Zheng, Haozhuang Liu

Local dependencies, which captures short-term emotional effects between neighbouring utterances, are further injected via an Aggregation Graph to distinguish the subtle differences between utterances containing emotional phrases.

Emotion Recognition in Conversation

Integrating User History into Heterogeneous Graph for Dialogue Act Recognition

no code implementations COLING 2020 Dong Wang, Ziran Li, Haitao Zheng, Ying Shen

Dialogue Act Recognition (DAR) is a challenging problem in Natural Language Understanding, which aims to attach Dialogue Act (DA) labels to each utterance in a conversation.

Dialogue Act Classification

Can We Trust Deep Speech Prior?

no code implementations4 Nov 2020 Ying Shi, Haolin Chen, Zhiyuan Tang, Lantian Li, Dong Wang, Jiqing Han

Recently, speech enhancement (SE) based on deep speech prior has attracted much attention, such as the variational auto-encoder with non-negative matrix factorization (VAE-NMF) architecture.

Speech Enhancement

Deep Speaker Vector Normalization with Maximum Gaussianality Training

1 code implementation30 Oct 2020 Yunqi Cai, Lantian Li, Dong Wang, Andrew Abel

In this paper, we argue that this problem is largely attributed to the maximum-likelihood (ML) training criterion of the DNF model, which aims to maximize the likelihood of the observations but not necessarily improve the Gaussianality of the latent codes.

Speaker Recognition

Deep generative LDA

1 code implementation30 Oct 2020 Yunqi Cai, Dong Wang

Limited by its linear form and the underlying Gaussian assumption, however, LDA is not applicable in situations where the data distribution is complex.

Dimensionality Reduction Speaker Recognition

Squeezing value of cross-domain labels: a decoupled scoring approach for speaker verification

no code implementations27 Oct 2020 Lantian Li, Yang Zhang, Jiawen Kang, Thomas Fang Zheng, Dong Wang

Domain mismatch often occurs in real applications and causes serious performance reduction on speaker verification systems.

Speaker Verification

Deep generative factorization for speech signal

no code implementations27 Oct 2020 Haoran Sun, Lantian Li, Yunqi Cai, Yang Zhang, Thomas Fang Zheng, Dong Wang

Various information factors are blended in speech signals, which forms the primary difficulty for most speech information processing tasks.

Consistency of archetypal analysis

no code implementations16 Oct 2020 Braxton Osting, Dong Wang, Yiming Xu, Dominique Zosso

Archetypal analysis is an unsupervised learning method that uses a convex polytope to summarize multivariate data.

Remarks on Optimal Scores for Speaker Recognition

no code implementations10 Oct 2020 Dong Wang

In this article, we first establish the theory of optimal scores for speaker recognition.

Speaker Identification Speaker Recognition +1

WANA: Symbolic Execution of Wasm Bytecode for Cross-Platform Smart Contract Vulnerability Detection

1 code implementation30 Jul 2020 Dong Wang, Bo Jiang, W. K. Chan

Furthermore, WANA proposes a set of test oracles to detect the vulnerabilities in EOSIO and Ethereum smart contracts based on WebAssembly bytecode analysis.

Software Engineering D.2.5

Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation

1 code implementation4 Jul 2020 Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang

In recent years, the multiple-stage strategy has become a popular trend for visual tracking.

Visual Tracking

Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking

no code implementations4 Jul 2020 Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang

In this study, we propose a novel RGB-T tracking framework by jointly modeling both appearance and motion cues.

Rgb-T Tracking

A Characteristic Function-based Algorithm for Geodesic Active Contours

no code implementations1 Jul 2020 Jun Ma, Dong Wang, Xiao-Ping Wang, Xiaoping Yang

Active contour models have been widely used in image segmentation, and the level set method (LSM) is the most popular approach for solving the models, via implicitly representing the contour by a level set function.

Image Segmentation Lesion Segmentation +1

AP20-OLR Challenge: Three Tasks and Their Baselines

no code implementations4 Jun 2020 Zheng Li, Miao Zhao, Qingyang Hong, Lin Li, Zhiyuan Tang, Dong Wang, Li-Ming Song, Cheng Yang

Based on Kaldi and Pytorch, recipes for i-vector and x-vector systems are also conducted as baselines for the three tasks.

Dialect Identification

DASC: Towards A Road Damage-Aware Social-Media-Driven Car Sensing Framework for Disaster Response Applications

no code implementations4 Jun 2020 Md Tahmid Rashid, Daniel, Zhang, Dong Wang

iii) How to efficiently guide the cars to the event locations with little prior knowledge of the road damage caused by the disaster, while also handling the dynamics of the physical world and social media?

Disaster Response

Improve bone age assessment by learning from anatomical local regions

no code implementations27 May 2020 Dong Wang, Kexin Zhang, Jia Ding, Li-Wei Wang

In the clinical practice, Tanner and Whitehouse (TW2) method is a widely-used method for radiologists to perform BAA.

An efficient iterative method for reconstructing surface from point clouds

no code implementations25 May 2020 Dong Wang

In this paper, we develop an efficient iterative method on a variational model for the surface reconstruction from point clouds.

Surface Reconstruction

Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning

1 code implementation25 May 2020 Jiawen Kang, Ruiqi Liu, Lantian Li, Yunqi Cai, Dong Wang, Thomas Fang Zheng

Domain generalization remains a critical problem for speaker recognition, even with the state-of-the-art architectures based on deep neural nets.

Audio and Speech Processing

Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent

no code implementations22 Apr 2020 Dong Wang, Xiaoqian Qin, Fengyi Song, Li Cheng

Generative adversarial networks (GANs), famous for the capability of learning complex underlying data distribution, are however known to be tricky in the training process, which would probably result in mode collapse or performance deterioration.

Variational Inference

CovidSens: A Vision on Reliable Social Sensing for COVID-19

no code implementations9 Apr 2020 Md Tahmid Rashid, Dong Wang

In this vision paper, we discuss the roles of CovidSens and identify potential challenges in developing reliable social sensing based risk alert systems.


Deep Normalization for Speaker Vectors

1 code implementation7 Apr 2020 Yunqi Cai, Lantian Li, Dong Wang, Andrew Abel

Deep speaker embedding has demonstrated state-of-the-art performance in speaker recognition tasks.

Speaker Recognition

High-Performance Long-Term Tracking with Meta-Updater

2 code implementations CVPR 2020 Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang

Most top-ranked long-term trackers adopt the offline-trained Siamese architectures, thus, they cannot benefit from great progress of short-term trackers with online update.

Visual Object Tracking Visual Tracking +1

Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises

1 code implementation CVPR 2020 Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang

An effective and efficient perturbation generator is trained with a carefully designed adversarial loss, which can simultaneously cool hot regions where the target exists on the heatmaps and force the predicted bounding box to shrink, making the tracked target invisible to trackers.

Adversarial Attack

Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention

no code implementations IEEE Access 2020 Dezhong Xu, HENG FU, Lifang Wu, Meng Jian, Dong Wang, AND XU LIU

Then, we propose two types of inference models, opt-GRU and relation-GRU, which are used to encode the object relationship and motion representation effectively, and form the discriminative frame-level feature representation.

Autonomous Vehicles Group Activity Recognition +2

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing

no code implementations27 Feb 2020 Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi

In this paper, we present a graph representation learning method atop of transaction networks for merchant incentive optimization in mobile payment marketing.

Graph Representation Learning Marketing

Deep Variational Luenberger-type Observer for Stochastic Video Prediction

no code implementations12 Feb 2020 Dong Wang, Feng Zhou, Zheng Yan, Guang Yao, Zongxuan Liu, Wennan Ma, Cewu Lu

Our model builds upon an variational encoder which transforms the input video into a latent feature space and a Luenberger-type observer which captures the dynamic evolution of the latent features.

Representation Learning Video Prediction +1

Curriculum Audiovisual Learning

no code implementations26 Jan 2020 Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou

Associating sound and its producer in complex audiovisual scene is a challenging task, especially when we are lack of annotated training data.


ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard

no code implementations20 Dec 2019 Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar

21 teams submit results for Task 1, 23 teams submit results for Task 2, 24 teams submit results for Task 3, and 13 teams submit results for Task 4.

Line Detection

ROI Pooled Correlation Filters for Visual Tracking

1 code implementation CVPR 2019 Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu

The ROI (region-of-interest) based pooling method performs pooling operations on the cropped ROI regions for various samples and has shown great success in the object detection methods.

object-detection Object Detection +1

CN-CELEB: a challenging Chinese speaker recognition dataset

2 code implementations31 Oct 2019 Yue Fan, Jiawen Kang, Lantian Li, Kaicheng Li, Haolin Chen, Sitong Cheng, Pengyuan Zhang, Ziya Zhou, Yunqi Cai, Dong Wang

These datasets tend to deliver over optimistic performance and do not meet the request of research on speaker recognition in unconstrained conditions.

Speaker Recognition

On Investigation of Unsupervised Speech Factorization Based on Normalization Flow

no code implementations29 Oct 2019 Haoran Sun, Yunqi Cai, Lantian Li, Dong Wang

Speech signals are complex composites of various information, including phonetic content, speaker traits, channel effect, etc.

GradNet: Gradient-Guided Network for Visual Object Tracking

2 code implementations ICCV 2019 Peixia Li, Bo-Yu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu

In this work, we propose a novel gradient-guided network to exploit the discriminative information in gradients and update the template in the siamese network through feed-forward and backward operations.

Ranked #3 on Visual Object Tracking on OTB-2015 (Precision metric)

Template Matching Visual Object Tracking +1

An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing

no code implementations11 Sep 2019 Yang Zhang, Daniel Zhang, Nathan Vance, Dong Wang

Social sensing has emerged as a new sensing paradigm where humans (or devices on their behalf) collectively report measurements about the physical world.

'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Tracking

1 code implementation ICCV 2019 Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang

In this work, we present a novel robust and real-time long-term tracking framework based on the proposed skimming and perusal modules.

VAE-based Domain Adaptation for Speaker Verification

no code implementations27 Aug 2019 Xueyi Wang, Lantian Li, Dong Wang

By enforcing the neural model to discriminate the speakers in the training set, deep speaker embedding (called `x-vectors`) can be derived from the hidden layers.

Domain Adaptation Speaker Verification

signADAM: Learning Confidences for Deep Neural Networks

1 code implementation21 Jul 2019 Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao

In this paper, we propose a new first-order gradient-based algorithm to train deep neural networks.

Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach

no code implementations17 Jul 2019 Lanyu Shang, Daniel Zhang, Michael Wang, Shuyue Lai, Dong Wang

Current clickbait detection solutions that mainly focus on analyzing the text of the title, the image of the thumbnail, or the content of the video are shown to be suboptimal in detecting the online clickbait videos.

Clickbait Detection

AP19-OLR Challenge: Three Tasks and Their Baselines

no code implementations16 Jul 2019 Zhiyuan Tang, Dong Wang, Li-Ming Song

The participants can refer to these online-published recipes to deploy LID systems for convenience.

C^3 Framework: An Open-source PyTorch Code for Crowd Counting

3 code implementations5 Jul 2019 Junyu. Gao, Wei. Lin, Bin Zhao, Dong Wang, Chenyu Gao, Jun Wen

This technical report attempts to provide efficient and solid kits addressed on the field of crowd counting, which is denoted as Crowd Counting Code Framework (C$^3$F).

Crowd Counting

LMVP: Video Predictor with Leaked Motion Information

no code implementations24 Jun 2019 Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin

We propose a Leaked Motion Video Predictor (LMVP) to predict future frames by capturing the spatial and temporal dependencies from given inputs.

A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks

no code implementations18 Jun 2019 Dong Wang, Lei Zhou, Xiao Bai, Jun Zhou

Our method accelerates the network in one-step pruning-recovery manner with a novel optimization objective function, which achieves higher accuracy with much less cost compared with existing pruning methods.

A Preliminary Study on Data Augmentation of Deep Learning for Image Classification

no code implementations9 Jun 2019 Benlin Hu, Cheng Lei, Dong Wang, Shu Zhang, Zhenyu Chen

Deep learning models have a large number of freeparameters that need to be calculated by effective trainingof the models on a great deal of training data to improvetheir generalization performance.

Data Augmentation General Classification +1

Exploiting Persona Information for Diverse Generation of Conversational Responses

1 code implementation29 May 2019 Haoyu Song, Wei-Nan Zhang, Yiming Cui, Dong Wang, Ting Liu

Giving conversational context with persona information to a chatbot, how to exploit the information to generate diverse and sustainable conversations is still a non-trivial task.


Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems

no code implementations28 May 2019 Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Li-Wei Wang

First-order methods such as stochastic gradient descent (SGD) are currently the standard algorithm for training deep neural networks.

regression Second-order methods

Globally Soft Filter Pruning For Efficient Convolutional Neural Networks

no code implementations ICLR 2019 Ke Xu, Xiao-Yun Wang, Qun Jia, Jianjing An, Dong Wang

Therefore, accumulating the saliency of the filter over the entire data set can provide more accurate guidance for pruning.

Early Action Prediction with Generative Adversarial Networks

no code implementations30 Apr 2019 Dong Wang, Yuan Yuan, Qi. Wang

Action Prediction is aimed to determine what action is occurring in a video as early as possible, whi