Search Results for author: Guang Chen

Found 51 papers, 27 papers with code

Risk Assessment for Nonlinear Cyber-Physical Systems under Stealth Attacks

no code implementations4 May 2024 Guang Chen, Zhicong Sun, Yulong Ding, Shuang-Hua Yang

To comprehensively quantify these risks, we propose a framework that considers both the reachability of a system and the risk distribution of a scenario.

CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models

1 code implementation1 May 2024 Hongzhan Lin, Zixin Chen, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen

Current methods for Multimodal Sarcasm Target Identification (MSTI) predominantly focus on superficial indicators in an end-to-end manner, overlooking the nuanced understanding of multimodal sarcasm conveyed through both the text and image.

Language Modelling Multimodal Reasoning +1

Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior

no code implementations10 Apr 2024 Fan Lu, Kwan-Yee Lin, Yan Xu, Hongsheng Li, Guang Chen, Changjun Jiang

(2) To handle the unbounded nature of urban scenes, we represent 3D scene with a Scalable Hash Grid structure, incrementally adapting to the growing scale of urban scenes.

3D Generation Model Optimization +2

LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

1 code implementation3 Apr 2024 Zehan Zheng, Fan Lu, Weiyi Xue, Guang Chen, Changjun Jiang

In light of this, we propose LiDAR4D, a differentiable LiDAR-only framework for novel space-time LiDAR view synthesis.

3D Reconstruction 4D reconstruction +3

Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination

1 code implementation21 Mar 2024 Dingchen Yang, Bowen Cao, Guang Chen, Changjun Jiang

Multi-modal Large Language Models (MLLMs) demonstrate remarkable success across various vision-language tasks.

Hallucination Specificity

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

1 code implementation7 Mar 2024 Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang

In this paper, we target a practical setting where only a well-trained source model is available and investigate how we can realize IP protection.

PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds

no code implementations29 Feb 2024 Haotian Liu, Sanqing Qu, Fan Lu, Zongtao Bu, Florian Roehrbein, Alois Knoll, Guang Chen

Therefore, existing complementary learning approaches for MDE fuse intensity information from images and scene details from event data for better scene understanding.

Depth Prediction Monocular Depth Estimation +2

GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow

1 code implementation28 Jan 2024 Liguo Zhou, Yinglei Song, Yichao Gao, Zhou Yu, Michael Sodamin, Hongshen Liu, Liang Ma, Lian Liu, Hao liu, Yang Liu, Haichuan Li, Guang Chen, Alois Knoll

However, the availability of free and open-source simulators is limited, and the installation and configuration process can be daunting for beginners and interdisciplinary researchers.

Autonomous Driving

Spreeze: High-Throughput Parallel Reinforcement Learning Framework

no code implementations11 Dec 2023 Jing Hou, Guang Chen, Ruiqi Zhang, Zhijun Li, Shangding Gu, Changjun Jiang

While existing parallel RL frameworks encompass a variety of RL algorithms and parallelization techniques, the excessively burdensome communication frameworks hinder the attainment of the hardware's limit for final throughput and training effects on a single desktop.

reinforcement-learning Reinforcement Learning (RL)

HDMNet: A Hierarchical Matching Network with Double Attention for Large-scale Outdoor LiDAR Point Cloud Registration

no code implementations29 Oct 2023 Weiyi Xue, Fan Lu, Guang Chen

Specifically, A novel feature consistency enhanced double-soft matching network is introduced to achieve two-stage matching with high flexibility while enlarging the receptive field with high efficiency in a patch-to patch manner, which significantly improves the registration performance.

Point Cloud Registration Pose Estimation

Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation

no code implementations16 Oct 2023 Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen

Nevertheless, the existing approaches just extract each interest independently for the corresponding sub-sequence while ignoring the global correlation of the entire interaction sequence, which may fail to capture the user's inherent preference for the potential interests generalization and unavoidably make the recommended items homogeneous with the historical behaviors.

Contrastive Learning Sequential Recommendation

Urban Radiance Field Representation with Deformable Neural Mesh Primitives

1 code implementation ICCV 2023 Fan Lu, Yan Xu, Guang Chen, Hongsheng Li, Kwan-Yee Lin, Changjun Jiang

To construct urban-level radiance fields efficiently, we design Deformable Neural Mesh Primitive~(DNMP), and propose to parameterize the entire scene with such primitives.

Image Generation Novel View Synthesis

NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

1 code implementation CVPR 2023 Zehan Zheng, Danni Wu, Ruisi Lu, Fan Lu, Guang Chen, Changjun Jiang

In light of these issues, we present NeuralPCI: an end-to-end 4D spatio-temporal Neural field for 3D Point Cloud Interpolation, which implicitly integrates multi-frame information to handle nonlinear large motions for both indoor and outdoor scenarios.

3D Point Cloud Interpolation Autonomous Driving

Text with Knowledge Graph Augmented Transformer for Video Captioning

no code implementations CVPR 2023 Xin Gu, Guang Chen, YuFei Wang, Libo Zhang, Tiejian Luo, Longyin Wen

Meanwhile, the internal stream is designed to exploit the multi-modality information in videos (e. g., the appearance of video frames, speech transcripts, and video captions) to ensure the quality of caption results.

Video Captioning

TMA: Temporal Motion Aggregation for Event-based Optical Flow

1 code implementation ICCV 2023 Haotian Liu, Guang Chen, Sanqing Qu, Yanping Zhang, Zhijun Li, Alois Knoll, Changjun Jiang

In this paper, we argue that temporal continuity is a vital element of event-based optical flow and propose a novel Temporal Motion Aggregation (TMA) approach to unlock its potential.

Event-based Optical Flow Optical Flow Estimation

Modality-Agnostic Debiasing for Single Domain Generalization

no code implementations CVPR 2023 Sanqing Qu, Yingwei Pan, Guang Chen, Ting Yao, Changjun Jiang, Tao Mei

We validate the superiority of our MAD in a variety of single-DG scenarios with different modalities, including recognition on 1D texts, 2D images, 3D point clouds, and semantic segmentation on 2D images.

Data Augmentation Domain Generalization +1

Upcycling Models under Domain and Category Shift

3 code implementations CVPR 2023 Sanqing Qu, Tianpei Zou, Florian Roehrbein, Cewu Lu, Guang Chen, DaCheng Tao, Changjun Jiang

We examine the superiority of our GLC on multiple benchmarks with different category shift scenarios, including partial-set, open-set, and open-partial-set DA.

Clustering Source-Free Domain Adaptation +2

SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving

1 code implementation25 Feb 2023 Jiawei Hou, Qi Chen, Yurong Cheng, Guang Chen, xiangyang xue, Taiping Zeng, Jian Pu

However, there is a lack of underground parking scenario datasets with multiple sensors and well-labeled images that support both SLAM tasks and perception tasks, such as semantic segmentation and parking slot detection.

3D Reconstruction Autonomous Driving +4

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors

no code implementations25 Feb 2023 Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Jan Peters, Alois Knoll

Deployment of Reinforcement Learning (RL) algorithms for robotics applications in the real world requires ensuring the safety of the robot and its environment.

reinforcement-learning Reinforcement Learning (RL) +1

Dual-Stream Transformer for Generic Event Boundary Captioning

1 code implementation7 Jul 2022 Xin Gu, Hanhua Ye, Guang Chen, YuFei Wang, Libo Zhang, Longyin Wen

This paper describes our champion solution for the CVPR2022 Generic Event Boundary Captioning (GEBC) competition.

Boundary Captioning

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

1 code implementation20 May 2022 Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois Knoll

To establish a good foundation for future research in this thread, in this paper, we provide a review for safe RL from the perspectives of methods, theory and applications.

Autonomous Driving Decision Making +3

BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation

1 code implementation6 Apr 2022 Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, wei he, DaCheng Tao

Source-free Domain Adaptation (SFDA) aims to adapt a pre-trained source model to the unlabeled target domain without accessing the well-labeled source data, which is a much more practical setting due to the data privacy, security, and transmission issues.

Clustering Pseudo Label +1

Unsupervised Domain Adaptation for Nighttime Aerial Tracking

2 code implementations CVPR 2022 Junjie Ye, Changhong Fu, Guangze Zheng, Danda Pani Paudel, Guang Chen

Previous advances in object tracking mostly reported on favorable illumination circumstances while neglecting performance at nighttime, which significantly impeded the development of related aerial robot applications.

Object Discovery Object Tracking +1

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

1 code implementation ICCV 2021 Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu

Extensive experiments are conducted on two large-scale outdoor LiDAR point cloud datasets to demonstrate the high accuracy and efficiency of the proposed HRegNet.

Point Cloud Registration

DMInet: An Accurate and Highly Flexible Deep Learning Framework for Drug Membrane Interaction with Membrane Selectivity

1 code implementation27 May 2021 Guang Chen

Inheriting from coarse-grained Martini representation of organic molecules and combined with deep learning, DMInet has the potential for more accelerated high throughput screening in drug discovery across a much larger chemical space than that can be explored by physics-based simulations alone.

Drug Discovery

Data Augmentation for Object Detection via Differentiable Neural Rendering

1 code implementation4 Mar 2021 Guanghan Ning, Guang Chen, Chaowei Tan, Si Luo, Liefeng Bo, Heng Huang

We propose a new offline data augmentation method for object detection, which semantically interpolates the training data with novel views.

Data Augmentation Neural Rendering +4

NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting

1 code implementation10 Feb 2021 Kai Chen, Guang Chen, Dan Xu, Lijun Zhang, Yuyao Huang, Alois Knoll

Although Transformer has made breakthrough success in widespread domains especially in Natural Language Processing (NLP), applying it to time series forecasting is still a great challenge.

Time Series Time Series Forecasting

Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection

no code implementations25 Jan 2021 Hu Cao, Guang Chen, Zhijun Li, Jianjie Lin, Alois Knoll

Extensive experiments on two public grasping datasets, Cornell and Jacquard demonstrate the state-of-the-art performance of our method in balancing accuracy and inference speed.

object-detection Robotic Grasping

PointINet: Point Cloud Frame Interpolation Network

1 code implementation18 Dec 2020 Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, Alois Knoll

Generally, the frame rates of mechanical LiDAR sensors are 10 to 20 Hz, which is much lower than other commonly used sensors like cameras.

3D Point Cloud Interpolation

MoNet: Motion-based Point Cloud Prediction Network

no code implementations21 Nov 2020 Fan Lu, Guang Chen, Yinlong Liu, Zhijun Li, Sanqing Qu, Tianpei Zou

3D point clouds accurately model 3D information of surrounding environment and are crucial for intelligent vehicles to perceive the scene.

Autonomous Driving

LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection

no code implementations16 Nov 2020 Sanqing Qu, Guang Chen, Dan Xu, Jinhu Dong, Fan Lu, Alois Knoll

At each time step, this sampling strategy first estimates current action progression and then decide what temporal ranges should be used to aggregate the optimal supplementary features.

Online Action Detection

RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

1 code implementation NeurIPS 2020 Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois Knoll

To tackle the information loss of random sampling, we exploit a novel random dilation cluster strategy to enlarge the receptive field of each sampled point and an attention mechanism to aggregate the positions and features of neighbor points.

Point Cloud Registration Saliency Prediction

Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering

no code implementations27 May 2020 Guang Chen, Shiwen Shen, Longyin Wen, Si Luo, Liefeng Bo

Existing methods only focused on pig counting using single image, and its accuracy is challenged by several factors, including pig movements, occlusion and overlapping.


Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection

1 code implementation ECCV 2020 Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe

The method, inspired by the latest state-of-the-art 3D-LaneNet, is a unified framework solving image encoding, spatial transform of features and 3D lane prediction in a single network.

3D Lane Detection Image Segmentation +1

Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

no code implementations10 Mar 2020 Zhenshan Bing, Claus Meschede, Guang Chen, Alois Knoll, Kai Huang

Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising potential for accomplishing fast and energy-efficient computing, which is beneficial to mobile robotic applications.


OVC-Net: Object-Oriented Video Captioning with Temporal Graph and Detail Enhancement

no code implementations8 Mar 2020 Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Guang Chen, Jun Guo

Thereafter, we construct a new dataset, providing consistent object-sentence pairs, to facilitate effective cross-modal learning.

Object Sentence +1

Globally optimal vertical direction estimation in Atlanta World

1 code implementation29 Apr 2019 Yinlong Liu, Alois Knoll, Guang Chen

Accordingly, we propose a vertical direction estimation method by considering the relationship between the vertical frame and horizontal frames.

A Novel Method for the Absolute Pose Problem with Pairwise Constraints

no code implementations25 Mar 2019 Yinlong Liu, Xuechen Li, Manning Wang, Guang Chen, Zhijian Song, Alois Knoll

In this paper, we consider pairwise constraints and propose a globally optimal algorithm for solving the absolute pose estimation problem.

Pose Estimation Translation

Salience Biased Loss for Object Detection in Aerial Images

no code implementations18 Oct 2018 Peng Sun, Guang Chen, Guerdan Luke, Yi Shang

Experimental results show our proposed loss function with the RetinaNet architecture outperformed other state-of-art object detection models by at least 4. 31 mAP, and RetinaNet by 2. 26 mAP with the same inference speed of RetinaNet.

Object object-detection +1

Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture

no code implementations6 Dec 2017 Guang Chen, Shu Liu, Kejia Ren, Zhongnan Qu, Changhong Fu, Gereon Hinz, Alois Knoll

However, the mobile sensing perception brings new challenges for how to efficiently analyze and intelligently interpret the deluge of IoT data in mission- critical services.

Hierarchical Latent Semantic Mapping for Automated Topic Generation

no code implementations11 Nov 2015 Guorui Zhou, Guang Chen

Inspired by these algorithms, in this paper, we propose a novel method named Hierarchical Latent Semantic Mapping (HLSM), which automatically generates topics from corpus.

Community Detection

Large-Scale Visual Font Recognition

no code implementations CVPR 2014 Guang Chen, Jianchao Yang, Hailin Jin, Jonathan Brandt, Eli Shechtman, Aseem Agarwala, Tony X. Han

This paper addresses the large-scale visual font recognition (VFR) problem, which aims at automatic identification of the typeface, weight, and slope of the text in an image or photo without any knowledge of content.

Font Recognition Image Categorization +1

Detection Evolution with Multi-order Contextual Co-occurrence

no code implementations CVPR 2013 Guang Chen, Yuanyuan Ding, Jing Xiao, Tony X. Han

The so-called (1 st -order) context feature is computed as a set of randomized binary comparisons on the response map of the baseline object detector.

Object object-detection +1

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