Search Results for author: Long Chen

Found 196 papers, 74 papers with code

基于中文信息与越南语句法指导的越南语事件检测(Vietnamese event detection based on Chinese information and Vietnamese syntax guidance)

no code implementations CCL 2021 Long Chen, Junjun Guo, Yafei Zhang, Chengxiang Gao, Zhengtao Yu

“当前基于深度学习的事件检测模型都依赖足够数量的标注数据, 而标注数据的稀缺及事件类型歧义为越南语事件检测带来了极大的挑战。根据“表达相同观点但语言不同的句子通常有相同或相似的语义成分”这一多语言一致性特征, 本文提出了一种基于中文信息与越南语句法指导的越南语事件检测框架。首先通过共享编码器策略和交叉注意力网络将中文信息融入到越南语中, 然后使用图卷积网络融入越南语依存句法信息, 最后在中文事件类型指导下实现越南语事件检测。实验结果表明, 在中文信息和越南语句法的指导下越南语事件检测取得了较好的效果。”

Event Detection

From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation

no code implementations12 Jul 2024 Hanrong Shi, Lin Li, Jun Xiao, Yueting Zhuang, Long Chen

Despite remarkable progress in PSG, almost all existing methods neglect the importance of shape-aware features, which inherently focus on the contours and boundaries of objects.

Graph Generation Knowledge Distillation +2

SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning

1 code implementation10 Jul 2024 Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen

Parameter-efficient transfer learning (PETL) has emerged as a flourishing research field for adapting large pre-trained models to downstream tasks, greatly reducing trainable parameters while grappling with memory challenges during fine-tuning.

Transfer Learning

LightStereo: Channel Boost Is All Your Need for Efficient 2D Cost Aggregation

1 code implementation28 Jun 2024 Xianda Guo, Chenming Zhang, Dujun Nie, Wenzhao Zheng, Youmin Zhang, Long Chen

We present LightStereo, a cutting-edge stereo-matching network crafted to accelerate the matching process.

Stereo Matching

TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems

no code implementations21 Jun 2024 Jing Yang, Yu Zhao, Linyao Yang, Xiao Wang, Long Chen, Fei-Yue Wang

Temporal relation extraction (TRE) aims to grasp the evolution of events or actions, and thus shape the workflow of associated tasks, so it holds promise in helping understand task requests initiated by requesters in crowdsourcing systems.

Contrastive Learning Language Modelling +4

CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation

no code implementations15 Jun 2024 Wei Chen, Lin Li, Yongqi Yang, Bin Wen, Fan Yang, Tingting Gao, Yu Wu, Long Chen

To address this gap, we introduce CoMM, a high-quality Coherent interleaved image-text MultiModal dataset designed to enhance the coherence, consistency, and alignment of generated multimodal content.

In-Context Learning Visual Storytelling

MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding

1 code implementation15 Jun 2024 Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao Jing, Tianqing Fang, Jiaxin Bai, Long Chen, Yangqiu Song

Improving user experience and providing personalized search results in E-commerce platforms heavily rely on understanding purchase intention.

CarLLaVA: Vision language models for camera-only closed-loop driving

no code implementations14 Jun 2024 Katrin Renz, Long Chen, Ana-Maria Marcu, Jan Hünermann, Benoit Hanotte, Alice Karnsund, Jamie Shotton, Elahe Arani, Oleg Sinavski

In this technical report, we present CarLLaVA, a Vision Language Model (VLM) for autonomous driving, developed for the CARLA Autonomous Driving Challenge 2. 0.

Autonomous Driving CARLA Leaderboard 2.0 +1

DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning

no code implementations13 Jun 2024 Xuemin Hu, Shen Li, Yingfen Xu, Bo Tang, Long Chen

Offline reinforcement learning (RL) can learn optimal policies from pre-collected offline datasets without interacting with the environment, but the sampled actions of the agent cannot often cover the action distribution under a given state, resulting in the extrapolation error issue.

D4RL Offline RL +2

Instruct Large Language Models to Drive like Humans

1 code implementation11 Jun 2024 Ruijun Zhang, Xianda Guo, Wenzhao Zheng, Chenming Zhang, Kurt Keutzer, Long Chen

Conventional methods apply predefined rules or learn from driving data to plan the future trajectory.

Autonomous Driving Motion Planning

Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning

no code implementations3 Jun 2024 Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan

The emergence of deep and large-scale spiking neural networks (SNNs) exhibiting high performance across diverse complex datasets has led to a need for compressing network models due to the presence of a significant number of redundant structural units, aiming to more effectively leverage their low-power consumption and biological interpretability advantages.

Model Compression Network Pruning +1

$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation

no code implementations27 May 2024 Weiquan Wang, Jun Xiao, Chunping Wang, Wei Liu, Zhao Wang, Long Chen

Continuous diffusion models have demonstrated their effectiveness in addressing the inherent uncertainty and indeterminacy in monocular 3D human pose estimation (HPE).

Monocular 3D Human Pose Estimation Quantization

3D Unsupervised Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving

1 code implementation24 May 2024 Boyi Sun, Yuhang Liu, Xingxia Wang, Bin Tian, Long Chen, Fei-Yue Wang

We achieved a record-breaking 47. 73% mIoU on the annotation-free point cloud segmentation task in nuScenes, surpassing the previous best model by 10. 70% mIoU.

Autonomous Driving Knowledge Distillation +1

FreeTuner: Any Subject in Any Style with Training-free Diffusion

no code implementations23 May 2024 Youcan Xu, Zhen Wang, Jun Xiao, Wei Liu, Long Chen

With the advance of diffusion models, various personalized image generation methods have been proposed.

Disentanglement Image Generation +1

Illumination Histogram Consistency Metric for Quantitative Assessment of Video Sequences

2 code implementations15 May 2024 Long Chen, Mobarakol Islam, Matt Clarkson, Thomas Dowrick

In this paper, we propose a illumination histogram consistency (IHC) metric to quantitatively and automatically evaluate the illumination consistency of the video sequences.

Video Enhancement

Deep Learning Method to Predict Wound Healing Progress Based on Collagen Fibers in Wound Tissue

no code implementations8 May 2024 Juan He, Xiaoyan Wang, Long Chen, Yunpeng Cai, Zhengshan Wang

To address this issue, we propose an innovative approach based on deep learning to predict the progression of wound healing by analyzing collagen fiber features in histological images of wound tissue.

Transfer Learning

ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces

no code implementations5 May 2024 Libing Yang, Yang Li, Long Chen

In this paper, we introduce ClothPPO, a framework that employs a policy gradient algorithm based on actor-critic architecture to enhance a pre-trained model with huge 10^6 action spaces aligned with observation in the task of unfolding clothes.

Language Modelling Large Language Model

ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving

1 code implementation25 Apr 2024 Jiehui Huang, Xiao Dong, Wenhui Song, Hanhui Li, Jun Zhou, Yuhao Cheng, Shutao Liao, Long Chen, Yiqiang Yan, Shengcai Liao, Xiaodan Liang

ConsistentID comprises two key components: a multimodal facial prompt generator that combines facial features, corresponding facial descriptions and the overall facial context to enhance precision in facial details, and an ID-preservation network optimized through the facial attention localization strategy, aimed at preserving ID consistency in facial regions.

Diversity

Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation

2 code implementations3 Apr 2024 Xiaoshuang Huang, Hongxiang Li, Meng Cao, Long Chen, Chenyu You, Dong An

Recent developments underscore the potential of textual information in enhancing learning models for a deeper understanding of medical visual semantics.

Image Segmentation Medical Image Segmentation +2

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving

no code implementations27 Mar 2024 Xuemin Hu, Pan Chen, Yijun Wen, Bo Tang, Long Chen

Reinforcement learning (RL) has been widely used in decision-making tasks, but it cannot guarantee the agent's safety in the training process due to the requirements of interaction with the environment, which seriously limits its industrial applications such as autonomous driving.

Autonomous Driving Decision Making +2

View-Consistent 3D Editing with Gaussian Splatting

no code implementations18 Mar 2024 Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang

However, this approach faces a critical issue of multi-view inconsistency, where the guidance images exhibit significant discrepancies across views, leading to mode collapse and visual artifacts of 3DGS.

Distributionally Generative Augmentation for Fair Facial Attribute Classification

1 code implementation CVPR 2024 Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang

This work proposes a novel, generation-based two-stage framework to train a fair FAC model on biased data without additional annotation.

Attribute Classification +2

SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos

no code implementations3 Mar 2024 Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang

We study the problem of procedure planning in instructional videos, which aims to make a goal-oriented sequence of action steps given partial visual state observations.

Contrastive Learning

GenAD: Generative End-to-End Autonomous Driving

1 code implementation18 Feb 2024 Wenzhao Zheng, Ruiqi Song, Xianda Guo, Chenming Zhang, Long Chen

We then employ a variational autoencoder to learn the future trajectory distribution in a structural latent space for trajectory prior modeling.

Autonomous Driving motion prediction

Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning

no code implementations28 Jan 2024 Yuhang Zheng, Zhen Wang, Long Chen

Compared to training on the entire augmented dataset, our ECL strategy can further enhance VQA models' performance with fewer training samples.

Data Augmentation Question Answering +1

Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion

no code implementations26 Jan 2024 Jinhan Wang, Long Chen, Aparna Khare, Anirudh Raju, Pranav Dheram, Di He, Minhua Wu, Andreas Stolcke, Venkatesh Ravichandran

We propose an approach for continuous prediction of turn-taking and backchanneling locations in spoken dialogue by fusing a neural acoustic model with a large language model (LLM).

Language Modelling Large Language Model

Boundary and Relation Distillation for Semantic Segmentation

no code implementations24 Jan 2024 Dong Zhang, Pingcheng Dong, Xinting Hu, Long Chen, Kwang-Ting Cheng

Concurrently, the relation distillation transfers implicit relations from the teacher model to the student model using pixel-level self-relation as a bridge, ensuring that the student's mask has strong target region connectivity.

Implicit Relations Knowledge Distillation +2

Multiperson Detection and Vital-Sign Sensing Empowered by Space-Time-Coding RISs

no code implementations15 Jan 2024 Xinyu Li, Jian Wei You, Ze Gu, Qian Ma, Jingyuan Zhang, Long Chen, Tie Jun Cui

Passive human sensing using wireless signals has attracted increasing attention due to its superiorities of non-contact and robustness in various lighting conditions.

Human Detection

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

1 code implementation1 Dec 2023 Xianda Guo, Chenming Zhang, Juntao Lu, Yiqi Wang, Yiqun Duan, Tian Yang, Zheng Zhu, Long Chen

Based on OpenStereo, we conducted experiments and have achieved or surpassed the performance metrics reported in the original paper.

Autonomous Driving Autonomous Navigation +1

Automatic Detection of Alzheimer's Disease with Multi-Modal Fusion of Clinical MRI Scans

no code implementations30 Nov 2023 Long Chen, Liben Chen, Binfeng Xu, Wenxin Zhang, Narges Razavian

Notably, literature on the application of deep learning in the automatic detection of the disease has been proliferating.

DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism

no code implementations25 Nov 2023 Zhen Wang, Xinyun Jiang, Jun Xiao, Tao Chen, Long Chen

The denoising process involves the explicit predictions of edit operations and corresponding content words, refining reference captions through iterative step-wise editing.

Caption Generation Denoising +1

Compositional Zero-shot Learning via Progressive Language-based Observations

no code implementations23 Nov 2023 Lin Li, Guikun Chen, Jun Xiao, Long Chen

Compositional zero-shot learning aims to recognize unseen state-object compositions by leveraging known primitives (state and object) during training.

Compositional Zero-Shot Learning

Passive Human Sensing Enhanced by Reconfigurable Intelligent Surface: Opportunities and Challenges

no code implementations14 Nov 2023 Xinyu Li, Jian Wei You, Ze Gu, Qian Ma, Long Chen, Jingyuan Zhang, Shi Jin, Tie Jun Cui

Reconfigurable intelligent surfaces (RISs) have flexible and exceptional performance in manipulating electromagnetic waves and customizing wireless channels.

Activity Recognition

Video Referring Expression Comprehension via Transformer with Content-conditioned Query

no code implementations25 Oct 2023 Ji Jiang, Meng Cao, Tengtao Song, Long Chen, Yi Wang, Yuexian Zou

Video Referring Expression Comprehension (REC) aims to localize a target object in videos based on the queried natural language.

cross-modal alignment Referring Expression +2

V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network

1 code implementation10 Oct 2023 Caizhen He, Hai Wang, Long Chen, Tong Luo, Yingfeng Cai

The V2X-AHD can effectively improve the accuracy of 3D object detection and reduce the number of network parameters, according to this study, which serves as a benchmark for cooperative perception.

3D Object Detection object-detection

On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study

no code implementations4 Oct 2023 Liben Chen, Long Chen, Tian Ellison-Chen, Zhuoyuan Xu

Visual Question Answering (VQA) is a challenging task that requires cross-modal understanding and reasoning of visual image and natural language question.

Question Answering Visual Question Answering

SortedAP: Rethinking evaluation metrics for instance segmentation

1 code implementation9 Sep 2023 Long Chen, Yuli Wu, Johannes Stegmaier, Dorit Merhof

Designing metrics for evaluating instance segmentation revolves around comprehensively considering object detection and segmentation accuracy.

Instance Segmentation Object +4

Semi-supervised Instance Segmentation with a Learned Shape Prior

no code implementations9 Sep 2023 Long Chen, Weiwen Zhang, Yuli Wu, Martin Strauch, Dorit Merhof

To date, most instance segmentation approaches are based on supervised learning that requires a considerable amount of annotated object contours as training ground truth.

Cell Segmentation Instance Segmentation +4

UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory

1 code implementation CVPR 2024 Haiwen Diao, Bo Wan, Ying Zhang, Xu Jia, Huchuan Lu, Long Chen

Parameter-efficient transfer learning (PETL), i. e., fine-tuning a small portion of parameters, is an effective strategy for adapting pre-trained models to downstream domains.

Question Answering Text Retrieval +4

FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion

no code implementations14 Aug 2023 Siyu Teng, Luxi Li, Yuchen Li, Xuemin Hu, Lingxi Li, Yunfeng Ai, Long Chen

Firstly, we propose a multi-task motion planning algorithm, called FusionPlanner, for autonomous mining trucks by the multi-sensor fusion method to adapt both lateral and longitudinal control tasks for unmanned transportation.

Motion Planning Scheduling +1

Compositional Feature Augmentation for Unbiased Scene Graph Generation

1 code implementation ICCV 2023 Lin Li, Guikun Chen, Jun Xiao, Yi Yang, Chunping Wang, Long Chen

Specifically, we first decompose each relation triplet feature into two components: intrinsic feature and extrinsic feature, which correspond to the intrinsic characteristics and extrinsic contexts of a relation triplet, respectively.

Diversity Graph Generation +2

In Defense of Clip-based Video Relation Detection

no code implementations18 Jul 2023 Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Roger Zimmermann

While recent video-based methods utilizing video tubelets have shown promising results, we argue that the effective modeling of spatial and temporal context plays a more significant role than the choice between clip tubelets and video tubelets.

Feature Compression Object Tracking +2

A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future

1 code implementation18 Jul 2023 Chaoyang Zhu, Long Chen

By ``open-vocabulary'', we mean that the models can classify objects beyond pre-defined categories.

Knowledge Distillation object-detection +6

Machine Learning Study of the Extended Drug-target Interaction Network informed by Pain Related Voltage-Gated Sodium Channels

1 code implementation11 Jul 2023 Long Chen, Jian Jiang, Bozheng Dou, Hongsong Feng, Jie Liu, Yueying Zhu, Bengong Zhang, Tianshou Zhou, Guo-Wei Wei

Pain is a significant global health issue, and the current treatment options for pain management have limitations in terms of effectiveness, side effects, and potential for addiction.

Management

Improving Reference-based Distinctive Image Captioning with Contrastive Rewards

no code implementations25 Jun 2023 Yangjun Mao, Jun Xiao, Dong Zhang, Meng Cao, Jian Shao, Yueting Zhuang, Long Chen

A recent DIC method proposes to generate distinctive captions by comparing the target image with a set of semantic-similar reference images, i. e., reference-based DIC (Ref-DIC).

Benchmarking Contrastive Learning +1

Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning

no code implementations3 Jun 2023 Long Chen, Siyu Teng, Bai Li, Xiaoxiang Na, Yuchen Li, Zixuan Li, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang

Growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits.

Autonomous Driving Ethics

Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs

no code implementations29 May 2023 Mingyang Zhou, Yi R. Fung, Long Chen, Christopher Thomas, Heng Ji, Shih-Fu Chang

Building cross-model intelligence that can understand charts and communicate the salient information hidden behind them is an appealing challenge in the vision and language(V+L) community.

Chart Question Answering Chart Understanding +2

IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models

2 code implementations24 May 2023 Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang

Specifically, IdealGPT utilizes an LLM to generate sub-questions, a VLM to provide corresponding sub-answers, and another LLM to reason to achieve the final answer.

Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models

1 code implementation NeurIPS 2023 Lin Li, Jun Xiao, Guikun Chen, Jian Shao, Yueting Zhuang, Long Chen

To dynamically fuse different cues, we further introduce a chain-of-thought method that prompts LLMs to generate reasonable weights for different visual cues.

Relation

TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding

no code implementations19 May 2023 Chenchi Zhang, Jun Xiao, Lei Chen, Jian Shao, Long Chen

In this paper, we argue that their poor interpretability is attributed to the holistic prompt generation and inference process.

Sentence Visual Grounding

Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

no code implementations12 May 2023 Long Chen, Yuchen Li, Chao Huang, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, Siyu Teng, Chen Lv, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang

Our work is divided into 3 independent articles and the first part is a Survey of Surveys (SoS) for total technologies of AD and IVs that involves the history, summarizes the milestones, and provides the perspectives, ethics, and future research directions.

Autonomous Driving Ethics

Multi-Prompt with Depth Partitioned Cross-Modal Learning

1 code implementation10 May 2023 Yingjie Tian, Yiqi Wang, Xianda Guo, Zheng Zhu, Long Chen

In recent years, soft prompt learning methods have been proposed to fine-tune large-scale vision-language pre-trained models for various downstream tasks.

Domain Generalization

How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence

no code implementations2 May 2023 Xuemin Hu, Shen Li, Tingyu Huang, Bo Tang, Rouxing Huai, Long Chen

In general, a large scale of testing in simulation environment is conducted and then the learned driving knowledge is transferred to the real world, so how to adapt driving knowledge learned in simulation to reality becomes a critical issue.

Autonomous Driving

Discrepancy-Guided Reconstruction Learning for Image Forgery Detection

no code implementations26 Apr 2023 Zenan Shi, Haipeng Chen, Long Chen, Dong Zhang

In this paper, we propose a novel image forgery detection paradigm for boosting the model learning capacity on both forgery-sensitive and genuine compact visual patterns.

Image Forgery Detection

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

no code implementations30 Mar 2023 Long Chen, Yuchen Li, Chao Huang, Bai Li, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, Xiaoxiang Na, Zixuan Li, Siyu Teng, Chen Lv, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits.

Autonomous Driving Ethics

Cross-utterance ASR Rescoring with Graph-based Label Propagation

no code implementations27 Mar 2023 Srinath Tankasala, Long Chen, Andreas Stolcke, Anirudh Raju, Qianli Deng, Chander Chandak, Aparna Khare, Roland Maas, Venkatesh Ravichandran

We propose a novel approach for ASR N-best hypothesis rescoring with graph-based label propagation by leveraging cross-utterance acoustic similarity.

Fairness Language Modelling

Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives

no code implementations17 Mar 2023 Siyu Teng, Xuemin Hu, Peng Deng, Bai Li, Yuchen Li, Dongsheng Yang, Yunfeng Ai, Lingxi Li, Zhe XuanYuan, Fenghua Zhu, Long Chen

Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value.

Autonomous Driving Motion Planning

A Simple Baseline for Supervised Surround-view Depth Estimation

no code implementations14 Mar 2023 Xianda Guo, Wenjie Yuan, Yunpeng Zhang, Tian Yang, Chenming Zhang, Zheng Zhu, Long Chen

The former is achieved by the self-attention module within each view, while the latter is realized by the adjacent attention module, which computes the attention across multi-cameras to exchange the multi-scale representations across surround-view feature maps.

Autonomous Driving Monocular Depth Estimation

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale Attention

1 code implementation13 Mar 2023 Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu

On the one hand, CEL blends each token with multiple patches of different scales, providing the self-attention module itself with cross-scale features.

Image Classification Instance Segmentation +3

Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection

1 code implementation1 Feb 2023 Kaifeng Gao, Long Chen, Hanwang Zhang, Jun Xiao, Qianru Sun

Without bells and whistles, our RePro achieves a new state-of-the-art performance on two VidVRD benchmarks of not only the base training object and predicate categories, but also the unseen ones.

Object Relation +1

Iterative Proposal Refinement for Weakly-Supervised Video Grounding

no code implementations CVPR 2023 Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang

Weakly-Supervised Video Grounding (WSVG) aims to localize events of interest in untrimmed videos with only video-level annotations.

Sentence Video Grounding

TempCLR: Temporal Alignment Representation with Contrastive Learning

1 code implementation28 Dec 2022 Yuncong Yang, Jiawei Ma, Shiyuan Huang, Long Chen, Xudong Lin, Guangxing Han, Shih-Fu Chang

For long videos, given a paragraph of description where the sentences describe different segments of the video, by matching all sentence-clip pairs, the paragraph and the full video are aligned implicitly.

Contrastive Learning Dynamic Time Warping +7

MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding

no code implementations26 Dec 2022 Wei Ji, Long Chen, Yinwei Wei, Yiming Wu, Tat-Seng Chua

In this work, we propose a novel multi-resolution temporal video sentence grounding network: MRTNet, which consists of a multi-modal feature encoder, a Multi-Resolution Temporal (MRT) module, and a predictor module.

Decoder Descriptive +1

Short term prediction of demand for ride hailing services: A deep learning approach

no code implementations7 Dec 2022 Long Chen, Piyushimita, Thakuriah, Konstantinos Ampountolas

UberNet empploys a multivariate framework that utilises a number of temporal and spatial features that have been found in the literature to explain demand for ride-hailing services.

Sequential Transformer for End-to-End Person Search

no code implementations6 Nov 2022 Long Chen, Jinhua Xu

Person Search aims to simultaneously localize and recognize a target person from realistic and uncropped gallery images.

Human Detection Person Re-Identification +1

Respecting Transfer Gap in Knowledge Distillation

no code implementations23 Oct 2022 Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang

The network response serves as additional supervision to formulate the machine domain, which uses the data collected from the human domain as a transfer set.

Knowledge Distillation

Weakly-Supervised Temporal Article Grounding

1 code implementation22 Oct 2022 Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad Ayyubi, Heng Ji, Shih-Fu Chang

Specifically, given an article and a relevant video, WSAG aims to localize all ``groundable'' sentences to the video, and these sentences are possibly at different semantic scales.

Natural Language Queries Sentence +1

Instance Segmentation of Dense and Overlapping Objects via Layering

1 code implementation7 Oct 2022 Long Chen, Yuli Wu, Dorit Merhof

Instance segmentation aims to delineate each individual object of interest in an image.

Instance Segmentation Object +1

Transformer Meets Boundary Value Inverse Problems

2 code implementations29 Sep 2022 Ruchi Guo, Shuhao Cao, Long Chen

A Transformer-based deep direct sampling method is proposed for electrical impedance tomography, a well-known severely ill-posed nonlinear boundary value inverse problem.

Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour

no code implementations7 Aug 2022 Feixiang Zhou, Xinyu Yang, Fang Chen, Long Chen, Zheheng Jiang, Hui Zhu, Reiko Heckel, Haikuan Wang, Minrui Fei, Huiyu Zhou

Furthermore, we design a novel Interaction-Aware Transformer (IAT) to dynamically learn the graph-level representation of social behaviours and update the node-level representation, guided by our proposed interaction-aware self-attention mechanism.

Representation Learning Self-Supervised Learning

Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation

1 code implementation3 Aug 2022 Xingchen Li, Long Chen, Wenbo Ma, Yi Yang, Jun Xiao

However, we argue that most existing WSSGG works only focus on object-consistency, which means the grounded regions should have the same object category label as text entities.

Graph Generation Object +1

Rethinking the Evaluation of Unbiased Scene Graph Generation

no code implementations3 Aug 2022 Xingchen Li, Long Chen, Jian Shao, Shaoning Xiao, Songyang Zhang, Jun Xiao

Current Scene Graph Generation (SGG) methods tend to predict frequent predicate categories and fail to recognize rare ones due to the severe imbalanced distribution of predicates.

Diversity Graph Generation +1

Rethinking the Reference-based Distinctive Image Captioning

1 code implementation22 Jul 2022 Yangjun Mao, Long Chen, Zhihong Jiang, Dong Zhang, Zhimeng Zhang, Jian Shao, Jun Xiao

Unfortunately, reference images used by existing Ref-DIC works are easy to distinguish: these reference images only resemble the target image at scene-level and have few common objects, such that a Ref-DIC model can trivially generate distinctive captions even without considering the reference images.

Attribute Benchmarking +1

Correspondence Matters for Video Referring Expression Comprehension

1 code implementation21 Jul 2022 Meng Cao, Ji Jiang, Long Chen, Yuexian Zou

Extensive experiments demonstrate that our DCNet achieves state-of-the-art performance on both video and image REC benchmarks.

Contrastive Learning Referring Expression +3

Explicit Image Caption Editing

1 code implementation20 Jul 2022 Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao

Given an image and a reference caption, the image caption editing task aims to correct the misalignment errors and generate a refined caption.

Sentence

Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment method

1 code implementation19 Jul 2022 Long Chen, Yingying Xu, Fangyi Xu, Qian Hu, Zhenzhou Tang

In addition, this work fully considers the heterogeneity of SNs (i. e. differentiated sensing range and deployment cost) and three-dimensional (3-D) deployment scenarios.

Multiobjective Optimization

Rethinking Data Augmentation for Robust Visual Question Answering

1 code implementation18 Jul 2022 Long Chen, Yuhang Zheng, Jun Xiao

Unfortunately, to guarantee augmented samples have reasonable ground-truth answers, they manually design a set of heuristic rules for several question types, which extremely limits its generalization abilities.

Data Augmentation Knowledge Distillation +2

Graph-based Multi-View Fusion and Local Adaptation: Mitigating Within-Household Confusability for Speaker Identification

no code implementations8 Jul 2022 Long Chen, Yixiong Meng, Venkatesh Ravichandran, Andreas Stolcke

Speaker identification (SID) in the household scenario (e. g., for smart speakers) is an important but challenging problem due to limited number of labeled (enrollment) utterances, confusable voices, and demographic imbalances.

Fairness Speaker Identification +1

The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation

1 code implementation CVPR 2022 Lin Li, Long Chen, Yifeng Huang, Zhimeng Zhang, Songyang Zhang, Jun Xiao

Then, in Pos-NSD, we use a clustering-based algorithm to divide all positive samples into multiple sets, and treat the samples in the noisiest set as noisy positive samples.

Graph Generation Out-of-Distribution Detection +2

Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives

no code implementations25 Apr 2022 Shaoning Xiao, Long Chen, Kaifeng Gao, Zhao Wang, Yi Yang, Zhimeng Zhang, Jun Xiao

From the view of feature, we break down the video into trajectories and first leverage trajectory feature in VideoQA to enhance the alignment between two modalities.

Question Answering Video Question Answering

Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs

no code implementations19 Apr 2022 Justin Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang

Learning neural ODEs often requires solving very stiff ODE systems, primarily using explicit adaptive step size ODE solvers.

Computational Efficiency

Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network

1 code implementation17 Apr 2022 Yuhang He, Lin Chen, Junkun Xie, Long Chen

This motivates us to conduct a "task transfer" paradigm so that 3D semantic segmentation benefits from aggregating 2D semantic cues, albeit pose noises are contained in 2D image observations.

2D Semantic Segmentation 3D Semantic Segmentation

Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting

no code implementations16 Apr 2022 Guangxing Han, Long Chen, Jiawei Ma, Shiyuan Huang, Rama Chellappa, Shih-Fu Chang

Our approach is motivated by the high-level conceptual similarity of (metric-based) meta-learning and prompt-based learning to learn generalizable few-shot and zero-shot object detection models respectively without fine-tuning.

Few-Shot Learning Few-Shot Object Detection +3

Few-Shot Object Detection with Fully Cross-Transformer

1 code implementation CVPR 2022 Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Shih-Fu Chang

Inspired by the recent work on vision transformers and vision-language transformers, we propose a novel Fully Cross-Transformer based model (FCT) for FSOD by incorporating cross-transformer into both the feature backbone and detection head.

Few-Shot Object Detection Metric Learning +2

SATr: Slice Attention with Transformer for Universal Lesion Detection

no code implementations13 Mar 2022 Han Li, Long Chen, Hu Han, S. Kevin Zhou

Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis.

Lesion Detection

openFEAT: Improving Speaker Identification by Open-set Few-shot Embedding Adaptation with Transformer

no code implementations24 Feb 2022 Kishan K C, Zhenning Tan, Long Chen, Minho Jin, Eunjung Han, Andreas Stolcke, Chul Lee

Household speaker identification with few enrollment utterances is an important yet challenging problem, especially when household members share similar voice characteristics and room acoustics.

Open Set Learning Speaker Identification

AutoMine: An Unmanned Mine Dataset

no code implementations CVPR 2022 Yuchen Li, Zixuan Li, Siyu Teng, Yu Zhang, YuHang Zhou, Yuchang Zhu, Dongpu Cao, Bin Tian, Yunfeng Ai, Zhe XuanYuan, Long Chen

The main contributions of the AutoMine dataset are as follows: 1. The first autonomous driving dataset for perception and localization in mine scenarios.

Autonomous Driving

Rethinking the Two-Stage Framework for Grounded Situation Recognition

1 code implementation10 Dec 2021 Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua

Since each verb is associated with a specific set of semantic roles, all existing GSR methods resort to a two-stage framework: predicting the verb in the first stage and detecting the semantic roles in the second stage.

Grounded Situation Recognition Object Recognition +1

Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs

1 code implementation CVPR 2022 Kaifeng Gao, Long Chen, Yulei Niu, Jian Shao, Jun Xiao

To this end, we propose a new classification-then-grounding framework for VidSGG, which can avoid all the three overlooked drawbacks.

Predicate Classification

Unified Group Fairness on Federated Learning

no code implementations9 Nov 2021 Fengda Zhang, Kun Kuang, Yuxuan Liu, Long Chen, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao

We validate the advantages of the FMDA-M algorithm with various kinds of distribution shift settings in experiments, and the results show that FMDA-M algorithm outperforms the existing fair FL algorithms on unified group fairness.

Attribute Fairness +1

High-throughput Phenotyping of Nematode Cysts

no code implementations13 Oct 2021 Long Chen, Matthias Daub, Hans-Georg Luigs, Marcus Jansen, Martin Strauch, Dorit Merhof

The beet cyst nematode (BCN) Heterodera schachtii is a plant pest responsible for crop loss on a global scale.

Instance Segmentation Semantic Segmentation +1

Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering

1 code implementation3 Oct 2021 Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao

Specifically, CSST is composed of two parts: Counterfactual Samples Synthesizing (CSS) and Counterfactual Samples Training (CST).

counterfactual Question Answering +1

Natural Language Video Localization with Learnable Moment Proposals

1 code implementation EMNLP 2021 Shaoning Xiao, Long Chen, Jian Shao, Yueting Zhuang, Jun Xiao

Given an untrimmed video and a natural language query, Natural Language Video Localization (NLVL) aims to identify the video moment described by the query.

On Pursuit of Designing Multi-modal Transformer for Video Grounding

no code implementations EMNLP 2021 Meng Cao, Long Chen, Mike Zheng Shou, Can Zhang, Yuexian Zou

Almost all existing video grounding methods fall into two frameworks: 1) Top-down model: It predefines a set of segment candidates and then conducts segment classification and regression.

Decoder Sentence +1

Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation

no code implementations3 Sep 2021 Jiahui Li, Kun Kuang, Lin Li, Long Chen, Songyang Zhang, Jian Shao, Jun Xiao

Deep neural networks have demonstrated remarkable performance in many data-driven and prediction-oriented applications, and sometimes even perform better than humans.

Financial Analysis Medical Diagnosis

Video Relation Detection via Tracklet based Visual Transformer

1 code implementation19 Aug 2021 Kaifeng Gao, Long Chen, Yifeng Huang, Jun Xiao

Video Visual Relation Detection (VidVRD), has received significant attention of our community over recent years.

Decoder Relation +1

FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention

no code implementations NeurIPS 2021 Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang

For instance, FMMformers achieve an average classification accuracy of $60. 74\%$ over the five Long Range Arena tasks, which is significantly better than the standard transformer's average accuracy of $58. 70\%$.

Language Modelling

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

3 code implementations ICLR 2022 Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu

On the one hand, CEL blends each embedding with multiple patches of different scales, providing the self-attention module itself with cross-scale features.

Image Classification Instance Segmentation +4

Graph-based Label Propagation for Semi-Supervised Speaker Identification

no code implementations15 Jun 2021 Long Chen, Venkatesh Ravichandran, Andreas Stolcke

We show in experiments on the VoxCeleb dataset that this approach makes effective use of unlabeled data and improves speaker identification accuracy compared to two state-of-the-art scoring methods as well as their semi-supervised variants based on pseudo-labels.

Speaker Identification Speaker Recognition

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning

no code implementations1 Jun 2021 Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao

Specifically, Shapley Value and its desired properties are leveraged in deep MARL to credit any combinations of agents, which grants us the capability to estimate the individual credit for each agent.

counterfactual Multi-agent Reinforcement Learning +4

SDNet: mutil-branch for single image deraining using swin

3 code implementations31 May 2021 Fuxiang Tan, YuTing Kong, Yingying Fan, Feng Liu, Daxin Zhou, Hao Zhang, Long Chen, Liang Gao, Yurong Qian

The former implements the basic rain pattern feature extraction, while the latter fuses different features to further extract and process the image features.

Autonomous Driving Single Image Deraining

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations

1 code implementation26 May 2021 Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska

We train our system directly from 1, 000 hours of driving logs and measure both realism, reactivity of the simulation as the two key properties of the simulation.

Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey

no code implementations26 May 2021 Feifei Shao, Long Chen, Jian Shao, Wei Ji, Shaoning Xiao, Lu Ye, Yueting Zhuang, Jun Xiao

With the success of deep neural networks in object detection, both WSOD and WSOL have received unprecedented attention.

Object object-detection +2

What data do we need for training an AV motion planner?

no code implementations26 May 2021 Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska

If cheaper sensors could be used for collection instead, data availability would go up, which is crucial in a field where data volume requirements are large and availability is small.

Imitation Learning Motion Planning

VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching

no code implementations12 May 2021 Chenchi Zhang, Wenbo Ma, Jun Xiao, Hanwang Zhang, Jian Shao, Yueting Zhuang, Long Chen

In this paper, we argue that these methods overlook an obvious \emph{mismatch} between the roles of proposals in the two stages: they generate proposals solely based on the detection confidence (i. e., query-agnostic), hoping that the proposals contain all instances mentioned in the text query (i. e., query-aware).

Image-text matching Referring Expression +2

Textual Analysis of Communications in COVID-19 Infected Community on Social Media

no code implementations3 May 2021 YuHan Liu, Yuhan Gao, Zhifan Nan, Long Chen

During the COVID-19 pandemic, people started to discuss about pandemic-related topics on social media.

Human-like Controllable Image Captioning with Verb-specific Semantic Roles

1 code implementation CVPR 2021 Long Chen, Zhihong Jiang, Jun Xiao, Wei Liu

However, we argue that almost all existing objective control signals have overlooked two indispensable characteristics of an ideal control signal: 1) Event-compatible: all visual contents referred to in a single sentence should be compatible with the described activity.

Caption Generation controllable image captioning +3

Boundary Proposal Network for Two-Stage Natural Language Video Localization

no code implementations15 Mar 2021 Shaoning Xiao, Long Chen, Songyang Zhang, Wei Ji, Jian Shao, Lu Ye, Jun Xiao

State-of-the-art NLVL methods are almost in one-stage fashion, which can be typically grouped into two categories: 1) anchor-based approach: it first pre-defines a series of video segment candidates (e. g., by sliding window), and then does classification for each candidate; 2) anchor-free approach: it directly predicts the probabilities for each video frame as a boundary or intermediate frame inside the positive segment.

Vocal Bursts Valence Prediction

A Closer Look at Temporal Sentence Grounding in Videos: Dataset and Metric

no code implementations22 Jan 2021 Yitian Yuan, Xiaohan Lan, Xin Wang, Long Chen, Zhi Wang, Wenwu Zhu

All the results demonstrate that the re-organized dataset splits and new metric can better monitor the progress in TSGV.

Benchmarking Sentence +1

The electric dipole moment of the tau lepton revisited

no code implementations20 Jan 2021 Werner Bernreuther, Long Chen, Otto Nachtmann

We reconsider the issue of the search for a nonzero electric dipole form factor (EDM) $d_\tau(s)$ using optimal observables in $\tau^+\tau^-$ production by $e^+ e^-$ collisions in the center-of-mass energy range from the $\tau$-pair threshold to about $\sqrt{s} \sim 15$ GeV.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Class balanced underwater object detection dataset generated by class-wise style augmentation

no code implementations20 Jan 2021 Long Chen, Junyu Dong, Huiyu Zhou

CWSA is a new kind of data augmentation technique which augments the training data for the minority classes by generating various colors, textures and contrasts for the minority classes.

Data Augmentation object-detection +1

Structured Context Enhancement Network for Mouse Pose Estimation

1 code implementation1 Dec 2020 Feixiang Zhou, Zheheng Jiang, Zhihua Liu, Fang Chen, Long Chen, Lei Tong, Zhile Yang, Haikuan Wang, Minrui Fei, Ling Li, Huiyu Zhou

However, quantifying mouse behaviours from videos or images remains a challenging problem, where pose estimation plays an important role in describing mouse behaviours.

Animal Pose Estimation

$ZH$ production in gluon fusion: two-loop amplitudes with full top quark mass dependence

no code implementations24 Nov 2020 Long Chen, Gudrun Heinrich, Stephen P. Jones, Matthias Kerner, Jonas Klappert, Johannes Schlenk

We present results for the two-loop helicity amplitudes entering the NLO QCD corrections to the production of a Higgs boson in association with a $Z$-boson in gluon fusion.

High Energy Physics - Phenomenology

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning

1 code implementation13 Nov 2020 Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen

In this paper, we develop a computation efficient yet accurate network based on the proposed attentive auxiliary features (A$^2$F) for SISR.

Image Super-Resolution

Multi-View Adaptive Fusion Network for 3D Object Detection

1 code implementation2 Nov 2020 Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, Jian Wu

3D object detection based on LiDAR-camera fusion is becoming an emerging research theme for autonomous driving.

3D Object Detection Autonomous Driving +3

SWIPENET: Object detection in noisy underwater images

no code implementations19 Oct 2020 Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning li, Haiping Ma, Xin Wang, Huiyu Zhou

Moreover, inspired by the human education process that drives the learning from easy to hard concepts, we here propose the CMA training paradigm that first trains a clean detector which is free from the influence of noisy data.

Object object-detection +1

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework

no code implementations10 Oct 2020 Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

Specifically, it first casts the relationships between a certain model's accuracy and depth/width/resolution into a polynomial regression and then maximizes the polynomial to acquire the optimal values for the three dimensions.

Network Pruning Neural Architecture Search +1

Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding

1 code implementation3 Sep 2020 Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih-Fu Chang

The prevailing framework for solving referring expression grounding is based on a two-stage process: 1) detecting proposals with an object detector and 2) grounding the referent to one of the proposals.

Referring Expression Vocal Bursts Valence Prediction

Perceptual underwater image enhancement with deep learning and physical priors

no code implementations21 Aug 2020 Long Chen, Zheheng Jiang, Lei Tong, Zhihua Liu, Aite Zhao, Qianni Zhang, Junyu Dong, Huiyu Zhou

Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater navigation and ocean exploration.

Image Enhancement Image Generation +2

Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving

no code implementations26 Jul 2020 Teng Liu, Yang Xing, Long Chen, Dongpu Cao, Fei-Yue Wang

The objectives of the three virtual digital vehicles are interacting, guiding, simulating and improving with the real vehicles.

Descriptive

Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications

no code implementations21 Jul 2020 Teng Liu, Xing Yang, Hong Wang, Xiaolin Tang, Long Chen, Huilong Yu, Fei-Yue Wang

The three virtual vehicles (descriptive, predictive, and prescriptive) dynamically interact with the real one in order to enhance the safety and performance of the real vehicle.

Descriptive

Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles

no code implementations16 Jul 2020 Teng Liu, Bin Tian, Yunfeng Ai, Long Chen, Fei Liu, Dongpu Cao

As a combination of various kinds of technologies, autonomous vehicles could complete a series of driving tasks by itself, such as perception, decision-making, planning, and control.

Autonomous Vehicles Decision Making +2

CANet: Context Aware Network for 3D Brain Glioma Segmentation

1 code implementation15 Jul 2020 Zhihua Liu, Lei Tong, Long Chen, Feixiang Zhou, Zheheng Jiang, Qianni Zhang, Yinhai Wang, Caifeng Shan, Ling Li, Huiyu Zhou

Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning.

Brain Tumor Segmentation Segmentation +1

CenterNet3D: An Anchor Free Object Detector for Point Cloud

2 code implementations13 Jul 2020 Guojun Wang, Jian Wu, Bin Tian, Siyu Teng, Long Chen, Dongpu Cao

However, because inherent sparsity of point clouds, 3D object center points are likely to be in empty space which makes it difficult to estimate accurate boundaries.

3D Object Detection Autonomous Driving +3

On Connections between Regularizations for Improving DNN Robustness

no code implementations4 Jul 2020 Yiwen Guo, Long Chen, Yurong Chen, Chang-Shui Zhang

This paper analyzes regularization terms proposed recently for improving the adversarial robustness of deep neural networks (DNNs), from a theoretical point of view.

Adversarial Robustness BIG-bench Machine Learning +1

A Benchmark dataset for both underwater image enhancement and underwater object detection

no code implementations29 Jun 2020 Long Chen, Lei Tong, Feixiang Zhou, Zheheng Jiang, Zhenyang Li, Jialin Lv, Junyu Dong, Huiyu Zhou

To investigate how the underwater image enhancement methods influence the following underwater object detection tasks, in this paper, we provide a large-scale underwater object detection dataset with both bounding box annotations and high quality reference images, namely OUC dataset.

Image Enhancement Image Quality Assessment +3

One Thousand and One Hours: Self-driving Motion Prediction Dataset

3 code implementations25 Jun 2020 John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Long Chen, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska

Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1, 000 hours of data.

Autonomous Vehicles Motion Forecasting +2

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation

1 code implementation26 May 2020 Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua

Fashion outfit recommendation has attracted increasing attentions from online shopping services and fashion communities. Distinct from other scenarios (e. g., social networking or content sharing) which recommend a single item (e. g., a friend or picture) to a user, outfit recommendation predicts user preference on a set of well-matched fashion items. Hence, performing high-quality personalized outfit recommendation should satisfy two requirements -- 1) the nice compatibility of fashion items and 2) the consistence with user preference.

Underwater object detection using Invert Multi-Class Adaboost with deep learning

no code implementations23 May 2020 Long Chen, Zhihua Liu, Lei Tong, Zheheng Jiang, Shengke Wang, Junyu Dong, Huiyu Zhou

In addition, we propose a novel sample-weighted loss function which can model sample weights for SWIPENet, which uses a novel sample re-weighting algorithm, namely Invert Multi-Class Adaboost (IMA), to reduce the influence of noise on the proposed SWIPENet.

Object object-detection +1