Search Results for author: Kai Chen

Found 181 papers, 79 papers with code

LawBench: Benchmarking Legal Knowledge of Large Language Models

1 code implementation28 Sep 2023 Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Songyang Zhang, Kai Chen, Zongwen Shen, Jidong Ge

We hope this benchmark provides in-depth understanding of the LLMs' domain-specified capabilities and speed up the development of LLMs in the legal domain.

Benchmarking Memorization +1

Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection

no code implementations18 Sep 2023 Chenming Zhu, Wenwei Zhang, Tai Wang, Xihui Liu, Kai Chen

Instead of leveraging 2D images, we propose Object2Scene, the first approach that leverages large-scale large-vocabulary 3D object datasets to augment existing 3D scene datasets for open-vocabulary 3D object detection.

3D Object Detection Contrastive Learning +2

Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing

1 code implementation9 Sep 2023 Jinwen He, Kai Chen, Guozhu Meng, Jiangshan Zhang, Congyi Li

While enjoying the great achievements brought by deep learning (DL), people are also worried about the decision made by DL models, since the high degree of non-linearity of DL models makes the decision extremely difficult to understand.

Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries

no code implementations2 Sep 2023 Jiaqi Liu, Yonghao Long, Kai Chen, Cheuk Hei Leung, Zerui Wang, Qi Dou

However, this task is very challenging due to the small sizes of surgical instrument tips, and significant variance of surgical scenes across different procedures.

Graph Learning

Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models

no code implementations16 Aug 2023 Zhenhua Wang, Wei Xie, Kai Chen, Baosheng Wang, Zhiwen Gui, Enze Wang

Inspired by the attack that penetrates traditional firewalls through reverse tunnels, we introduce a "self-deception" attack that can bypass the semantic firewall by inducing LLM to generate prompts that facilitate jailbreak.

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation

1 code implementation ICCV 2023 Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin

One critical challenge in 6D object pose estimation from a single RGBD image is efficient integration of two different modalities, i. e., color and depth.

6D Pose Estimation using RGB Semantic Similarity +1

Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution

1 code implementation5 Aug 2023 Yong liu, Hang Dong, Boyang Liang, Songwei Liu, Qingji Dong, Kai Chen, Fangmin Chen, Lean Fu, Fei Wang

Since the high resolution of intermediate features in SISR models increases memory and computational requirements, efficient SISR transformers are more favored.

Image Super-Resolution

Learning Referring Video Object Segmentation from Weak Annotation

no code implementations4 Aug 2023 Wangbo Zhao, Kepan Nan, Songyang Zhang, Kai Chen, Dahua Lin, Yang You

To relieve the burden of data annotation while maintaining sufficient supervision for segmentation, we propose a new annotation scheme, in which we label the frame where the object first appears with a mask and use bounding boxes for the subsequent frames.

Contrastive Learning Referring Video Object Segmentation +2

Relational Contrastive Learning for Scene Text Recognition

1 code implementation1 Aug 2023 Jinglei Zhang, Tiancheng Lin, Yi Xu, Kai Chen, Rui Zhang

We argue that such prior contextual information can be interpreted as the relations of textual primitives due to the heterogeneous text and background, which can provide effective self-supervised labels for representation learning.

Contrastive Learning Representation Learning +1

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

1 code implementation31 Jul 2023 Tao Huang, Kai Chen, Wang Wei, Jianan Li, Yonghao Long, Qi Dou

Based on this value function, a chaining policy is learned to instruct subtask policies to terminate at the state with the highest value so that all subsequent policies are more likely to be connected for accomplishing the task.


ConFL: Constraint-guided Fuzzing for Machine Learning Framework

no code implementations11 Jul 2023 Zhao Liu, Quanchen Zou, Tian Yu, Xuan Wang, Guozhu Meng, Kai Chen, Deyue Zhang

Guided by the constraints, ConFL is able to generate valid inputs that can pass the verification and explore deeper paths of kernel codes.

Decision Making

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

1 code implementation7 Jul 2023 Shilong Zhang, Peize Sun, Shoufa Chen, Min Xiao, Wenqi Shao, Wenwei Zhang, Kai Chen, Ping Luo

The interleaved sequences of visual features extracted by the spatial instruction and the language embedding are input to LLM, and trained on the transformed region-text data in instruction tuning format.

Language Modelling Large Language Model +1

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

1 code implementation15 Jun 2023 Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

Recent advancements in vision foundation models (VFMs) have opened up new possibilities for versatile and efficient visual perception.

Representation Learning Transfer Learning

Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt

no code implementations7 Jun 2023 Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-yan Yeung

However, the usage of diffusion models to generate high-quality object detection data remains an underexplored area, where not only the image-level perceptual quality but also geometric conditions such as bounding boxes and camera views are essential.

Image Classification Layout-to-Image Generation +2

Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model

no code implementations31 May 2023 Haisong Ding, Bozhi Luan, Dongnan Gui, Kai Chen, Qiang Huo

This model conditions on a printed glyph image and creates mappings between printed characters and handwritten images, thus enabling the generation of photo-realistic handwritten samples with diverse styles and unseen text contents.

Denoising Optical Character Recognition (OCR)

GlyphControl: Glyph Conditional Control for Visual Text Generation

1 code implementation29 May 2023 Yukang Yang, Dongnan Gui, Yuhui Yuan, Haisong Ding, Han Hu, Kai Chen

We evaluate the effectiveness of our approach by measuring OCR-based metrics and CLIP scores of the generated visual text.

Optical Character Recognition (OCR) Text Generation

A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning

no code implementations28 May 2023 Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang

Motivated by this requirement, we propose a framework that (1) formulates TFL as a problem of finding a protection mechanism to optimize the tradeoff between privacy leakage, utility loss, and efficiency reduction and (2) formally defines bounded measurements of the three factors.

Federated Learning Meta-Learning

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank

1 code implementation26 May 2023 Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan

In this paper, we propose a novel approach, RankCSE, for unsupervised sentence representation learning, which incorporates ranking consistency and ranking distillation with contrastive learning into a unified framework.

Contrastive Learning Learning-To-Rank +3

Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition

no code implementations25 May 2023 Dongnan Gui, Kai Chen, Haisong Ding, Qiang Huo

Training from handwritten samples of a small character set, the DDPM is capable of mapping printed strokes to handwritten ones, which makes it possible to generate photo-realistic and diverse style handwritten samples of unseen character categories.


Theoretically Principled Federated Learning for Balancing Privacy and Utility

no code implementations24 May 2023 Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang

We propose a general learning framework for the protection mechanisms that protects privacy via distorting model parameters, which facilitates the trade-off between privacy and utility.

Federated Learning

TG-VQA: Ternary Game of Video Question Answering

no code implementations17 May 2023 Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen

Video question answering aims at answering a question about the video content by reasoning the alignment semantics within them.

Contrastive Learning Question Answering +2

MultiModal-GPT: A Vision and Language Model for Dialogue with Humans

1 code implementation8 May 2023 Tao Gong, Chengqi Lyu, Shilong Zhang, Yudong Wang, Miao Zheng, Qian Zhao, Kuikun Liu, Wenwei Zhang, Ping Luo, Kai Chen

To further enhance the ability to chat with humans of the MultiModal-GPT, we utilize language-only instruction-following data to train the MultiModal-GPT jointly.

Instruction Following Language Modelling

Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion

no code implementations7 May 2023 Xiaojin Zhang, Kai Chen, Qiang Yang

The nature of the widely-adopted protection mechanisms including \textit{Randomization Mechanism} and \textit{Compression Mechanism} is to protect privacy via distorting model parameter.

Federated Learning Privacy Preserving

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning

no code implementations29 Apr 2023 Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang

Different from existing CMOFL works focusing on utility, efficiency, fairness, and robustness, we consider optimizing privacy leakage along with utility loss and training cost, the three primary objectives of a TFL system.

Fairness Federated Learning

Transformer-Based Visual Segmentation: A Survey

2 code implementations19 Apr 2023 Xiangtai Li, Henghui Ding, Wenwei Zhang, Haobo Yuan, Jiangmiao Pang, Guangliang Cheng, Kai Chen, Ziwei Liu, Chen Change Loy

Recently, transformers, a type of neural network based on self-attention originally designed for natural language processing, have considerably surpassed previous convolutional or recurrent approaches in various vision processing tasks.

Autonomous Driving Point Cloud Segmentation

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

1 code implementation13 Apr 2023 Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu

Our experiments further demonstrate that pre-training and depth-free BEV transformation has the potential to enhance out-of-distribution robustness.

Robust Camera Only 3D Object Detection

RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer

2 code implementations12 Apr 2023 Jiahao Wang, Songyang Zhang, Yong liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin

Extensive experiments and ablative analysis also demonstrate that the inductive bias of network architecture, can be incorporated into simple network structure with appropriate optimization strategy.

Inductive Bias

A Game-theoretic Framework for Federated Learning

no code implementations11 Apr 2023 Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang

To address this, we propose the first game-theoretic framework that considers both FL defenders and attackers in terms of their respective payoffs, which include computational costs, FL model utilities, and privacy leakage risks.

Federated Learning

Probably Approximately Correct Federated Learning

no code implementations10 Apr 2023 Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang

However, existing multi-objective optimization frameworks are very time-consuming, and do not guarantee the existence of the Pareto frontier, this motivates us to seek a solution to transform the multi-objective problem into a single-objective problem because it is more efficient and easier to be solved.

Federated Learning PAC learning

A Survey on Vertical Federated Learning: From a Layered Perspective

no code implementations4 Apr 2023 Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao liu, Han Tian, Qian Xu, Kai Chen

From the hardware layer to the vertical federated system layer, researchers contribute to various aspects of VFL.

Federated Learning Privacy Preserving

Mixed Autoencoder for Self-supervised Visual Representation Learning

no code implementations CVPR 2023 Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-yan Yeung

Specifically, our MixedAE outperforms MAE by +0. 3% accuracy, +1. 7 mIoU and +0. 9 AP on ImageNet-1K, ADE20K and COCO respectively with a standard ViT-Base.

Contrastive Learning Data Augmentation +1

Federated Learning without Full Labels: A Survey

no code implementations25 Mar 2023 Yilun Jin, Yang Liu, Kai Chen, Qiang Yang

Therefore, the problem of federated learning without full labels is important in real-world FL applications.

Federated Learning Self-Supervised Learning +1

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

1 code implementation13 Mar 2023 Tao Jiang, Peng Lu, Li Zhang, Ningsheng Ma, Rui Han, Chengqi Lyu, Yining Li, Kai Chen

Recent studies on 2D pose estimation have achieved excellent performance on public benchmarks, yet its application in the industrial community still suffers from heavy model parameters and high latency.

Ranked #3 on Pose Estimation on OCHuman (using extra training data)

2D Human Pose Estimation 2D Pose Estimation +1

PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling

1 code implementation4 Mar 2023 YuAn Liu, Songyang Zhang, Jiacheng Chen, Kai Chen, Dahua Lin

Masked Image Modeling (MIM) has achieved promising progress with the advent of Masked Autoencoders (MAE) and BEiT.

Self-Supervised Learning

Boosting Neural Networks to Decompile Optimized Binaries

no code implementations3 Jan 2023 Ying Cao, Ruigang Liang, Kai Chen, Peiwei Hu

They formulate the decompilation process as a translation problem between LPL and HPL, aiming to reduce the human cost required to develop decompilation tools and improve their generalizability.

Machine Translation Malware Analysis +2

Learning Shape Primitives via Implicit Convexity Regularization

1 code implementation ICCV 2023 Xiaoyang Huang, Yi Zhang, Kai Chen, Teng Li, Wenjun Zhang, Bingbing Ni

In this work, a novel regularization term named Implicit Convexity Regularization (ICR) imposed on implicit primitive learning is proposed to tackle this problem.

RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer

no code implementations CVPR 2023 Jiahao Wang, Songyang Zhang, Yong liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin

Extensive experiments and ablative analysis also demonstrate that the inductive bias of network architecture, can be incorporated into simple network structure with appropriate optimization strategy.

Inductive Bias

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

6 code implementations14 Dec 2022 Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, Yudong Wang, Yanyi Liu, Shilong Zhang, Kai Chen

In this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segmentation and rotated object detection.

object-detection Object Detection In Aerial Images +6

Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit

no code implementations1 Dec 2022 Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman

We collect discussions from a wide variety of topical forums and use emotion detection to recognize a range of emotions from text, including anger, fear, joy, admiration, etc.

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS

no code implementations3 Nov 2022 Kai Chen, Stephen James, Congying Sui, Yun-hui Liu, Pieter Abbeel, Qi Dou

To further improve the performance of the stereo framework, StereoPose is equipped with a parallax attention module for stereo feature fusion and an epipolar loss for improving the stereo-view consistency of network predictions.

Pose Estimation Transparent objects

Boosting Point Clouds Rendering via Radiance Mapping

1 code implementation27 Oct 2022 Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang

In this work, we focus on boosting the image quality of point clouds rendering with a compact model design.

A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information

no code implementations17 Oct 2022 Pan Li, Peizhuo Lv, Shenchen Zhu, Ruigang Liang, Kai Chen

Although traditional static DNNs are vulnerable to the membership inference attack (MIA) , which aims to infer whether a particular point was used to train the model, little is known about how such an attack performs on the dynamic NNs.

Image Classification Inference Attack +1

Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks

1 code implementation20 Sep 2022 Haodong Duan, Yue Zhao, Kai Chen, Yuanjun Xiong, Dahua Lin

Deep learning models have achieved excellent recognition results on large-scale video benchmarks.

Action Recognition

Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation

1 code implementation16 Sep 2022 Lin Chen, Zhixiang Wei, Xin Jin, Huaian Chen, Miao Zheng, Kai Chen, Yi Jin

In this work, we resort to data mixing to establish a deliberated domain bridging (DDB) for DASS, through which the joint distributions of source and target domains are aligned and interacted with each in the intermediate space.

Knowledge Distillation Semantic Segmentation +3

Trading Off Privacy, Utility and Efficiency in Federated Learning

no code implementations1 Sep 2022 Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang

In addition, it is a mandate for a federated learning system to achieve high \textit{efficiency} in order to enable large-scale model training and deployment.

Federated Learning

Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain

no code implementations9 Jul 2022 Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen

However, most of the triggers used in the current study are fixed patterns patched on a small fraction of an image and are often clearly mislabeled, which is easily detected by humans or defense methods such as Neural Cleanse and SentiNet.

Backdoor Attack Data Poisoning +1

Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation

1 code implementation4 Jul 2022 Guoliang Cheng, Lele Liao, Kai Chen, Yuxiang Hu, Changbao Zhu, Jing Lu

The recently proposed semi-blind source separation (SBSS) method for nonlinear acoustic echo cancellation (NAEC) outperforms adaptive NAEC in attenuating the nonlinear acoustic echo.

Acoustic echo cancellation

Secure Forward Aggregation for Vertical Federated Neural Networks

no code implementations28 Jun 2022 Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen

In this paper, we focus on SplitNN, a well-known neural network framework in VFL, and identify a trade-off between data security and model performance in SplitNN.

Federated Learning Privacy Preserving

A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions

no code implementations23 Jun 2022 Jing Tan, Lars Braubach, Kai Jander, Rongjun Xu, Kai Chen

The system has been implemented as proof of concept and is currently reimplemented and transferred to a production system based on the Jadex agent platform.


What Are Expected Queries in End-to-End Object Detection?

1 code implementation2 Jun 2022 Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Kai Chen

As both sparse and dense queries are imperfect, then \emph{what are expected queries in end-to-end object detection}?

Instance Segmentation object-detection +2

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing

no code implementations26 May 2022 Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li

On the other hand, for existing SSL methods, it is burdensome and infeasible to use different downstream-task-customized datasets in pre-training for different tasks.

Self-Supervised Learning

PYSKL: Towards Good Practices for Skeleton Action Recognition

1 code implementation19 May 2022 Haodong Duan, Jiaqi Wang, Kai Chen, Dahua Lin

The toolbox supports a wide variety of skeleton action recognition algorithms, including approaches based on GCN and CNN.

Action Recognition Skeleton Based Action Recognition

Group R-CNN for Weakly Semi-supervised Object Detection with Points

1 code implementation CVPR 2022 Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen

The core of this task is to train a point-to-box regressor on well-labeled images that can be used to predict credible bounding boxes for each point annotation.

Object Detection Representation Learning +1

MMRotate: A Rotated Object Detection Benchmark using PyTorch

1 code implementation28 Apr 2022 Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, Wenwei Zhang, Kai Chen

We present an open-source toolbox, named MMRotate, which provides a coherent algorithm framework of training, inferring, and evaluation for the popular rotated object detection algorithm based on deep learning.

object-detection Object Detection

ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation

no code implementations26 Apr 2022 Zhenjie Yu, Kai Chen, Shuang Li, Bingfeng Han, Chi Harold Liu, Shuigen Wang

To be specific, ROMA could efficiently translate the unpaired nighttime infrared videos into fine-grained daytime visible ones, meanwhile maintain the spatiotemporal consistency via matching the cross-domain region similarity.


Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking

no code implementations14 Apr 2022 Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-hui Liu, Pieter Abbeel, Qi Dou

To continuously improve the quality of pseudo labels, we iterate the above steps by taking the trained student model as a new teacher and re-label real data using the refined teacher model.

6D Pose Estimation using RGB Robotic Grasping

StructToken : Rethinking Semantic Segmentation with Structural Prior

no code implementations23 Mar 2022 Fangjian Lin, Zhanhao Liang, Sitong Wu, Junjun He, Kai Chen, Shengwei Tian

In previous deep-learning-based methods, semantic segmentation has been regarded as a static or dynamic per-pixel classification task, \textit{i. e.,} classify each pixel representation to a specific category.

Decision Making Semantic Segmentation

Dense Siamese Network for Dense Unsupervised Learning

1 code implementation21 Mar 2022 Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy

It also extracts a batch of region embeddings that correspond to some sub-regions in the overlapped area to be contrasted for region consistency.

Self-Supervised Learning Unsupervised Semantic Segmentation

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

no code implementations15 Mar 2022 Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei zhang, Chunjing Xu, Dit-yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu

One main reason that impedes the development of truly reliably self-driving systems is the lack of public datasets for evaluating the performance of object detectors on corner cases.

Autonomous Driving object-detection +1

APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation

no code implementations15 Mar 2022 Yangming Shi, Haisong Ding, Kai Chen, Qiang Huo

Style-guided text image generation tries to synthesize text image by imitating reference image's appearance while keeping text content unaltered.

Image Generation

RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion

no code implementations ACL 2022 Kai Chen, Ye Wang, Yitong Li, Aiping Li

Temporal factors are tied to the growth of facts in realistic applications, such as the progress of diseases and the development of political situation, therefore, research on Temporal Knowledge Graph (TKG) attracks much attention.

Knowledge Graph Completion Link Prediction +2

GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors

no code implementations CVPR 2022 Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong

The style modulation aims to generate realistic face details and the feature modulation dynamically fuses the multi-level encoded features and the generated ones conditioned on the upscaling factor.

Face Hallucination Image Super-Resolution

No Free Lunch Theorem for Security and Utility in Federated Learning

no code implementations11 Mar 2022 Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang

In a federated learning scenario where multiple parties jointly learn a model from their respective data, there exist two conflicting goals for the choice of appropriate algorithms.

Federated Learning Privacy Preserving

PPA: Preference Profiling Attack Against Federated Learning

no code implementations10 Feb 2022 Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang

By observing a user model's gradient sensitivity to a class, PPA can profile the sample proportion of the class in the user's local dataset, and thus the user's preference of the class is exposed.

Federated Learning Inference Attack

Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing

no code implementations17 Jan 2022 Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury

To explore this, we first introduce the notion of training plasticity to quantify the training progress of internal DNN layers.


Efficient Data-Plane Memory Scheduling for In-Network Aggregation

no code implementations17 Jan 2022 Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen

However, switch memory is scarce compared to the volume of gradients transmitted in distributed training.


OCSampler: Compressing Videos to One Clip with Single-step Sampling

1 code implementation CVPR 2022 Jintao Lin, Haodong Duan, Kai Chen, Dahua Lin, LiMin Wang

Recent works prefer to formulate frame sampling as a sequential decision task by selecting frames one by one according to their importance, while we present a new paradigm of learning instance-specific video condensation policies to select informative frames for representing the entire video only in a single step.

Video Recognition

TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification

1 code implementation28 Dec 2021 Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding

In TAGPerson, we extract information from target scenes and use them to control our parameterized rendering process to generate target-aware synthetic images, which would hold a smaller gap to the real images in the target domain.

Person Re-Identification

Automatic Configuration for Optimal Communication Scheduling in DNN Training

no code implementations27 Dec 2021 Yiqing Ma, Hao Wang, Yiming Zhang, Kai Chen

ByteScheduler partitions and rearranges tensor transmissions to improve the communication efficiency of distributed Deep Neural Network (DNN) training.

Bayesian Optimization Scheduling

AI-Lancet: Locating Error-inducing Neurons to Optimize Neural Networks

1 code implementation ACM SIGSAC Conference on Computer and Communications Security 2021 Yue Zhao, Hong Zhu, Kai Chen, Shengzhi Zhang

With the knowledge of error-inducing neurons, we propose two methods to fix the errors: the neuron-flip and the neuron-fine-tuning.

Few-Shot Object Detection via Association and DIscrimination

1 code implementation NeurIPS 2021 Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin

1) In the association step, in contrast to implicitly leveraging multiple base classes, we construct a compact novel class feature space via explicitly imitating a specific base class feature space.

Few-Shot Object Detection object-detection +2

DBIA: Data-free Backdoor Injection Attack against Transformer Networks

1 code implementation22 Nov 2021 Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang

In this paper, we propose DBIA, a novel data-free backdoor attack against the CV-oriented transformer networks, leveraging the inherent attention mechanism of transformers to generate triggers and injecting the backdoor using the poisoned surrogate dataset.

Backdoor Attack Image Classification

Attacking Video Recognition Models with Bullet-Screen Comments

1 code implementation29 Oct 2021 Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

On both UCF-101 and HMDB-51 datasets, our BSC attack method can achieve about 90\% fooling rate when attacking three mainstream video recognition models, while only occluding \textless 8\% areas in the video.

Adversarial Attack Reinforcement Learning (RL) +1

The Nuts and Bolts of Adopting Transformer in GANs

no code implementations25 Oct 2021 Rui Xu, Xiangyu Xu, Kai Chen, Bolei Zhou, Chen Change Loy

Transformer becomes prevalent in computer vision, especially for high-level vision tasks.

Image Generation

Quantitative relations among causality measures with applications to nonlinear pulse-output network reconstruction

no code implementations17 Oct 2021 Zhong-qi K. Tian, Kai Chen, Songting Li, David W. McLaughlin, Douglas Zhou

However, the interpretation of causal connectivity remains to be fully clarified, in particular, how causal connectivity depends on causality measures and how causal connectivity relates to structural connectivity.

Foreground-attention in neural decoding: Guiding Loop-Enc-Dec to reconstruct visual stimulus images from fMRI

no code implementations29 Sep 2021 Kai Chen, Yongqiang Ma, Mingyang Sheng, Nanning Zheng

Inspired by the mechanism of human visual attention, in this paper, we propose a novel method of reconstructing visual stimulus images, which first decodes the distribution of visual attention from fMRI, and then reconstructs the visual images guided by visual attention.

Image Reconstruction

Temporal RoI Align for Video Object Recognition

1 code implementation8 Sep 2021 Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng

In this work, considering the features of the same object instance are highly similar among frames in a video, a novel Temporal RoI Align operator is proposed to extract features from other frames feature maps for current frame proposals by utilizing feature similarity.

Instance Segmentation object-detection +4

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving

1 code implementation ICCV 2021 Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-yan Yeung

By pre-training on SODA10M, a large-scale autonomous driving dataset, MultiSiam exceeds the ImageNet pre-trained MoCo-v2, demonstrating the potential of domain-specific pre-training.

Autonomous Driving Image Clustering +2

Towards Balanced Learning for Instance Recognition

no code implementations23 Aug 2021 Jiangmiao Pang, Kai Chen, Qi Li, Zhihai Xu, Huajun Feng, Jianping Shi, Wanli Ouyang, Dahua Lin

In this work, we carefully revisit the standard training practice of detectors, and find that the detection performance is often limited by the imbalance during the training process, which generally consists in three levels - sample level, feature level, and objective level.

Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks

no code implementations19 Aug 2021 Jiaze Wang, Kai Chen, Qi Dou

Furthermore, we design a recurrent reconstruction network for iterative residual refinement to progressively improve the reconstruction and correspondence estimations from coarse to fine.

6D Pose Estimation 6D Pose Estimation using RGB +2

Practical and Secure Federated Recommendation with Personalized Masks

no code implementations18 Aug 2021 Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang

In this paper, we proposed federated masked matrix factorization (FedMMF) to protect the data privacy in federated recommender systems without sacrificing efficiency and effectiveness.

Federated Learning Recommendation Systems

Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning

no code implementations16 Aug 2021 Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen

In this paper, we present Aegis, a trusted, automatic, and accurate verification framework to verify the security of VFL jobs.

Federated Learning Privacy Preserving

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

1 code implementation14 Aug 2021 Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin

We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recognition and key information extraction.

Key Information Extraction named-entity-recognition +4

I2V-GAN: Unpaired Infrared-to-Visible Video Translation

1 code implementation2 Aug 2021 Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang

Human vision is often adversely affected by complex environmental factors, especially in night vision scenarios.

object-detection Object Detection +1

HAFLO: GPU-Based Acceleration for Federated Logistic Regression

no code implementations29 Jul 2021 Xiaodian Cheng, Wanhang Lu, Xinyang Huang, Shuihai Hu, Kai Chen

In recent years, federated learning (FL) has been widely applied for supporting decentralized collaborative learning scenarios.

Federated Learning regression

K-Net: Towards Unified Image Segmentation

1 code implementation NeurIPS 2021 Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy

The framework, named K-Net, segments both instances and semantic categories consistently by a group of learnable kernels, where each kernel is responsible for generating a mask for either a potential instance or a stuff class.

Image Segmentation Instance Segmentation +1

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving

no code implementations21 Jun 2021 Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

Experiments show that SODA10M can serve as a promising pre-training dataset for different self-supervised learning methods, which gives superior performance when fine-tuning with different downstream tasks (i. e., detection, semantic/instance segmentation) in autonomous driving domain.

Autonomous Driving Instance Segmentation +5

WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection

no code implementations21 May 2021 Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang

The performance of object detection, to a great extent, depends on the availability of large annotated datasets.

object-detection Object Detection +2

DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks

no code implementations13 May 2021 Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, Xingbo Hu

Compared to the method of retraining from scratch, our approach can achieve 99. 0%, 95. 0%, 91. 9%, 96. 7%, 74. 1% accuracy rates and 66. 7$\times$, 75. 0$\times$, 33. 3$\times$, 29. 4$\times$, 13. 7$\times$ speedups on the MNIST, SVHN, CIFAR-10, Purchase, and ImageNet datasets, respectively.

Revisiting Skeleton-based Action Recognition

3 code implementations CVPR 2022 Haodong Duan, Yue Zhao, Kai Chen, Dahua Lin, Bo Dai

In this work, we propose PoseC3D, a new approach to skeleton-based action recognition, which relies on a 3D heatmap stack instead of a graph sequence as the base representation of human skeletons.

Action Recognition Group Activity Recognition +2

HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks

no code implementations25 Mar 2021 Peizhuo Lv, Pan Li, Shengzhi Zhang, Kai Chen, Ruigang Liang, Yue Zhao, Yingjiu Li

Most existing solutions embed backdoors in DNN model training such that DNN ownership can be verified by triggering distinguishable model behaviors with a set of secret inputs.

SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems

1 code implementation19 Mar 2021 Yuxuan Chen, Jiangshan Zhang, Xuejing Yuan, Shengzhi Zhang, Kai Chen, XiaoFeng Wang, Shanqing Guo

In this paper, we present our systematization of knowledge for ASR security and provide a comprehensive taxonomy for existing work based on a modularized workflow.

Adversarial Attack Automatic Speech Recognition +3

Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey

no code implementations18 Mar 2021 Kai Chen, Qinglei Kong, Yijue Dai, Yue Xu, Feng Yin, Lexi Xu, Shuguang Cui

Empowered by big data and machine learning, next-generation data-driven communication systems will be intelligent with the characteristics of expressiveness, scalability, interpretability, and especially uncertainty modeling, which can confidently involve diversified latent demands and personalized services in the foreseeable future.

BIG-bench Machine Learning Gaussian Processes

ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

1 code implementation18 Mar 2021 Zheng Huang, Kai Chen, Jianhua He, Xiang Bai, Dimosthenis Karatzas, Shjian Lu, C. V. Jawahar

In this competition, we set up three tasks, namely, Scanned Receipt Text Localisation (Task 1), Scanned Receipt OCR (Task 2) and Key Information Extraction from Scanned Receipts (Task 3).

Key Information Extraction Optical Character Recognition (OCR)

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

Fast and Reliable Probabilistic Face Embeddings in the Wild

1 code implementation8 Feb 2021 Kai Chen, Qi Lv, Taihe Yi

In addition, an identification preserving loss is proposed to improve the discriminative of the MLS metric, and a multi-layer feature fusion module is proposed to improve the neural network's uncertainty estimation ability.

Face Recognition

SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation

no code implementations ICCV 2021 Kai Chen, Qi Dou

The prior adaptation intrinsically associates the adopted prior with different objects, from which we can accurately reconstruct the 3D canonical model of the specific object for pose estimation.

6D Pose Estimation using RGB

UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement

no code implementations24 Dec 2020 Yangyang Qu, Kai Chen, Chao Liu, Yongsheng Ou

To address this problem, we propose a real-time unsupervised generative adversarial network (GAN) containing multiple discriminators, i. e. a multi-scale discriminator, a texture discriminator, and a color discriminator.

Low-Light Image Enhancement

Positional Encoding as Spatial Inductive Bias in GANs

no code implementations CVPR 2021 Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy

In this work, taking SinGAN and StyleGAN2 as examples, we show that such capability, to a large extent, is brought by the implicit positional encoding when using zero padding in the generators.

Image Manipulation Inductive Bias +1

CARAFE++: Unified Content-Aware ReAssembly of FEatures

no code implementations7 Dec 2020 Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

Feature reassembly, i. e. feature downsampling and upsampling, is a key operation in a number of modern convolutional network architectures, e. g., residual networks and feature pyramids.

Image Inpainting Instance Segmentation +3

RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating

no code implementations25 Nov 2020 Linhao Luo, Liqi Yang, Ju Xin, Yixiang Fang, Xiaofeng Zhang, Xiaofei Yang, Kai Chen, Zhiyuan Zhang, Kai Liu

In particular, we technically propose a novel random CNN component that can randomly convolute non-adjacent features to capture their interaction information and learn feature embeddings of key attributes to make the final recommendation.

Neural-iLQR: A Learning-Aided Shooting Method for Trajectory Optimization

no code implementations21 Nov 2020 Zilong Cheng, Yulin Li, Kai Chen, Jun Ma, Tong Heng Lee

Iterative linear quadratic regulator (iLQR) has gained wide popularity in addressing trajectory optimization problems with nonlinear system models.

FedEval: A Holistic Evaluation Framework for Federated Learning

1 code implementation19 Nov 2020 Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang

In this paper, we propose a holistic evaluation framework for FL called FedEval, and present a benchmarking study on seven state-of-the-art FL algorithms.

Benchmarking Federated Learning +1

Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting

no code implementations8 Nov 2020 Kai Chen, Twan van Laarhoven, Elena Marchiori

The heavy tail and skewness characteristics of such distributions in the spectral domain allow to capture long-range covariance of the signal in the time domain.

Gaussian Processes Time Series Analysis

Possible multi-orbital ground state in CeCu$_2$Si$_2$

no code implementations5 Oct 2020 Andrea Amorese, Andrea Marino, Martin Sundermann, Kai Chen, Zhiwei Hu, Thomas Willers, Fadi Choukani, Philippe Ohresser, Javier Herrero-Martin, Stefano Agrestini, Chien-Te Chen, Hong-Ji Lin, Maurits W. Haverkort, Silvia Seiro, Christoph Geibel, Frank Steglich, Liu Hao Tjeng, Gertrud Zwicknagl, Andrea Severing

The crystal-field ground state wave function of CeCu$_2$Si$_2$ has been investigated with linear polarized $M$-edge x-ray absorption spectroscopy from 250mK to 250K, thus covering the superconducting ($T_{\text{c}}$=0. 6K), the Kondo ($T_{\text{K}}$$\approx$20K) as well as the Curie-Weiss regime.

Strongly Correlated Electrons

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework

1 code implementation20 Sep 2020 Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, Kai Chen

The Spatio-Temporal Traffic Prediction (STTP) problem is a classical problem with plenty of prior research efforts that benefit from traditional statistical learning and recent deep learning approaches.

Traffic Prediction

Domain-specific Communication Optimization for Distributed DNN Training

no code implementations16 Aug 2020 Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, Junchen Jiang

Communication overhead poses an important obstacle to distributed DNN training and draws increasing attention in recent years.


FPGA-Based Hardware Accelerator of Homomorphic Encryption for Efficient Federated Learning

no code implementations21 Jul 2020 Zhaoxiong Yang, Shuihai Hu, Kai Chen

Our framework implements the representative Paillier homomorphic cryptosystem with high level synthesis for flexibility and portability, with careful optimization on the modular multiplication operation in terms of processing clock cycle, resource usage and clock frequency.

Federated Learning Privacy Preserving

DS-Sync: Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training

no code implementations7 Jul 2020 Weiyan Wang, Cengguang Zhang, Liu Yang, Kai Chen, Kun Tan

However, due to the global synchronization nature, its performance can be significantly influenced by network bottlenecks caused by either static topology heterogeneity or dynamic bandwidth contentions.

BIG-bench Machine Learning

Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet

1 code implementation15 May 2020 Hongsheng Chen, Teng Xiang, Kai Chen, Jing Lu

Acoustic echo cannot be entirely removed by linear adaptive filters due to the nonlinear relationship between the echo and far-end signal.

Acoustic echo cancellation

Neural Data-to-Text Generation with Dynamic Content Planning

no code implementations16 Apr 2020 Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu

We further design a reconstruction mechanism with a novel objective function that can reconstruct the whole entry of the used data sequentially from the hidden states of the decoder, which aids the accuracy of the generated text.

Data-to-Text Generation

Feature Pyramid Grids

1 code implementation7 Apr 2020 Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer

Feature pyramid networks have been widely adopted in the object detection literature to improve feature representations for better handling of variations in scale.

Neural Architecture Search object-detection +2

Vanishing Point Guided Natural Image Stitching

no code implementations6 Apr 2020 Kai Chen, Jian Yao, Jingmin Tu, Yahui Liu, Yinxuan Li, Li Li

Recently, works on improving the naturalness of stitching images gain more and more extensive attention.

Image Stitching

Quantifying the Performance of Federated Transfer Learning

no code implementations30 Dec 2019 Qinghe Jing, Weiyan Wang, Junxue Zhang, Han Tian, Kai Chen

The scarcity of data and isolated data islands encourage different organizations to share data with each other to train machine learning models.

Transfer Learning

Unified Approach to Witness Nonentanglement-Breaking Quantum Channels

no code implementations23 Dec 2019 Yi-Zheng Zhen, Yingqiu Mao, Kai Chen, Francesco Buscemi, Oscar Dahlsten

The ability of quantum devices to preserve or distribute entanglement is essential in employing quantum technologies.

Quantum Physics

Side-Aware Boundary Localization for More Precise Object Detection

3 code implementations ECCV 2020 Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin

To tackle the difficulty of precise localization in the presence of displacements with large variance, we further propose a two-step localization scheme, which first predicts a range of movement through bucket prediction and then pinpoints the precise position within the predicted bucket.

object-detection Object Detection +1

Towards Security Threats of Deep Learning Systems: A Survey

no code implementations28 Nov 2019 Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He

In order to unveil the security weaknesses and aid in the development of a robust deep learning system, we undertake an investigation on attacks towards deep learning, and analyze these attacks to conclude some findings in multiple views.

Adversarial Attack Model extraction

Gliding vertex on the horizontal bounding box for multi-oriented object detection

1 code implementation21 Nov 2019 Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai

Yet, the widely adopted horizontal bounding box representation is not appropriate for ubiquitous oriented objects such as objects in aerial images and scene texts.

object-detection Object Detection In Aerial Images +4

Real-time Scene Text Detection with Differentiable Binarization

15 code implementations20 Nov 2019 Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, Xiang Bai

Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.

Binarization Optical Character Recognition (OCR) +2

Interpretable Encrypted Searchable Neural Networks

no code implementations14 Aug 2019 Kai Chen, Zhongrui Lin, Jian Wan, Chungen Xu

In cloud security, traditional searchable encryption (SE) requires high computation and communication overhead for dynamic search and update.

Multi-owner Secure Encrypted Search Using Searching Adversarial Networks

no code implementations7 Aug 2019 Kai Chen, Zhongrui Lin, Jian Wan, Lei Xu, Chungen Xu

To address this, this paper proposes secure and efficient multi-keyword ranked search over encrypted cloud data for multi-owner model based on searching adversarial networks.

Distributed Computing

Secure Federated Matrix Factorization

no code implementations12 Jun 2019 Di Chai, Leye Wang, Kai Chen, Qiang Yang

The key principle of federated learning is training a machine learning model without needing to know each user's personal raw private data.

BIG-bench Machine Learning Federated Learning

Extracting Symptoms and their Status from Clinical Conversations

no code implementations ACL 2019 Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yu-Hui Chen, Izhak Shafran

This paper describes novel models tailored for a new application, that of extracting the symptoms mentioned in clinical conversations along with their status.

CARAFE: Content-Aware ReAssembly of FEatures

3 code implementations ICCV 2019 Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

CARAFE introduces little computational overhead and can be readily integrated into modern network architectures.

Instance Segmentation object-detection +2

Prime Sample Attention in Object Detection

1 code implementation CVPR 2020 Yuhang Cao, Kai Chen, Chen Change Loy, Dahua Lin

Our experiments demonstrate that it is often more effective to focus on prime samples than hard samples when training a detector.

object-detection Object Detection

Libra R-CNN: Towards Balanced Learning for Object Detection

5 code implementations CVPR 2019 Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin

In this work, we carefully revisit the standard training practice of detectors, and find that the detection performance is often limited by the imbalance during the training process, which generally consists in three levels - sample level, feature level, and objective level.

object-detection Object Detection

Hybrid Task Cascade for Instance Segmentation

5 code implementations CVPR 2019 Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

In exploring a more effective approach, we find that the key to a successful instance segmentation cascade is to fully leverage the reciprocal relationship between detection and segmentation.

Instance Segmentation object-detection +3

Region Proposal by Guided Anchoring

1 code implementation CVPR 2019 Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin

State-of-the-art detectors mostly rely on a dense anchoring scheme, where anchors are sampled uniformly over the spatial domain with a predefined set of scales and aspect ratios.

object-detection Object Detection +1

Seeing isn't Believing: Practical Adversarial Attack Against Object Detectors

no code implementations26 Dec 2018 Yue Zhao, Hong Zhu, Ruigang Liang, Qintao Shen, Shengzhi Zhang, Kai Chen

In this paper, we presented systematic solutions to build robust and practical AEs against real world object detectors.

Adversarial Attack Autonomous Driving

Generalized Content-Preserving Warps for Image Stitching

no code implementations18 Sep 2018 Kai Chen, Jingmin Tu, Jian Yao

Content-Preserving Warping (CPW) is a typical method to deal with this issue, in which geometric and photometric constraints are imposed to guide the warping process.

Image Stitching

Multiple Combined Constraints for Image Stitching

no code implementations18 Sep 2018 Kai Chen, Jingmin Tu, Binbin Xiang, Li Li, Jian Yao

In this paper, geometric and photometric constraints are combined to improve the alignment quality, which is based on the observation that these two kinds of constraints are complementary.

Image Stitching