Search Results for author: Yan Wang

Found 305 papers, 117 papers with code

zydhjh4593@SMM4H’22: A Generic Pre-trained BERT-based Framework for Social Media Health Text Classification

no code implementations SMM4H (COLING) 2022 Chenghao Huang, Xiaolu Chen, Yuxi Chen, Yutong Wu, Weimin Yuan, Yan Wang, Yanru Zhang

This paper describes our proposed framework for the 10 text classification tasks of Task 1a, 2a, 2b, 3a, 4, 5, 6, 7, 8, and 9, in the Social Media Mining for Health (SMM4H) 2022.

text-classification Text Classification

Enabling Deep Residual Networks for Weakly Supervised Object Detection

no code implementations ECCV 2020 Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu

Weakly supervised object detection (WSOD) has attracted extensive research attention due to its great flexibility of exploiting large-scale image-level annotation for detector training.

Object object-detection +1

Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling

no code implementations29 Feb 2024 Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao, Yuchen Fei, Jiliu Zhou, Xingcheng Peng, Yan Wang

Deep learning has facilitated the automation of radiotherapy by predicting accurate dose distribution maps.

CAMixerSR: Only Details Need More "Attention"

no code implementations29 Feb 2024 Yan Wang, Shijie Zhao, Yi Liu, Junlin Li, Li Zhang

To satisfy the rapidly increasing demands on the large image (2K-8K) super-resolution (SR), prevailing methods follow two independent tracks: 1) accelerate existing networks by content-aware routing, and 2) design better super-resolution networks via token mixer refining.


Boosting Neural Representations for Videos with a Conditional Decoder

no code implementations28 Feb 2024 Xinjie Zhang, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, Jun Zhang

Implicit neural representations (INRs) have emerged as a promising approach for video storage and processing, showing remarkable versatility across various video tasks.

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

1 code implementation23 Feb 2024 Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang

In autonomous driving, cooperative perception makes use of multi-view cameras from both vehicles and infrastructure, providing a global vantage point with rich semantic context of road conditions beyond a single vehicle viewpoint.

3D Object Detection Autonomous Driving +2

A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis

1 code implementation20 Feb 2024 Nailei Hei, Qianyu Guo, ZiHao Wang, Yan Wang, Haofen Wang, Wenqiang Zhang

To bridge the distribution gap between user input behavior and model training datasets, we first construct a novel Coarse-Fine Granularity Prompts dataset (CFP) and propose a novel User-Friendly Fine-Grained Text Generation framework (UF-FGTG) for automated prompt optimization.

Image Generation Prompt Engineering +1

Triplet-constraint Transformer with Multi-scale Refinement for Dose Prediction in Radiotherapy

no code implementations7 Feb 2024 Lu Wen, Qihun Zhang, Zhenghao Feng, Yuanyuan Xu, Xiao Chen, Jiliu Zhou, Yan Wang

Radiotherapy is a primary treatment for cancers with the aim of applying sufficient radiation dose to the planning target volume (PTV) while minimizing dose hazards to the organs at risk (OARs).

A Lightweight Inception Boosted U-Net Neural Network for Routability Prediction

1 code implementation7 Feb 2024 Hailiang Li, Yan Huo, Yan Wang, Xu Yang, Miaohui Hao, Xiao Wang

As the modern CPU, GPU, and NPU chip design complexity and transistor counts keep increasing, and with the relentless shrinking of semiconductor technology nodes to nearly 1 nanometer, the placement and routing have gradually become the two most pivotal processes in modern very-large-scale-integrated (VLSI) circuit back-end design.


Adaptive Hypergraph Network for Trust Prediction

1 code implementation7 Feb 2024 Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou

In this paper, we propose an Adaptive Hypergraph Network for Trust Prediction (AHNTP), a novel approach that improves trust prediction accuracy by using higher-order correlations.

Contrastive Learning Decision Making

Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level Competencies

no code implementations6 Feb 2024 Zhixuan Chu, Yan Wang, Feng Zhu, Lu Yu, Longfei Li, Jinjie Gu

The advent of large language models (LLMs) such as ChatGPT, PaLM, and GPT-4 has catalyzed remarkable advances in natural language processing, demonstrating human-like language fluency and reasoning capacities.


DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models

no code implementations5 Feb 2024 Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan

In this paper, for the first time, we systematically explore the detectability of the poisoned noise input for the backdoored diffusion models, an important performance metric yet little explored in the existing works.

Backdoor Attack

Image2Points:A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction

1 code implementation1 Feb 2024 Jiaqi Cui, Yan Wang, Lu Wen, Pinxian Zeng, Xi Wu, Jiliu Zhou, Dinggang Shen

To obtain high-quality Positron emission tomography (PET) images while minimizing radiation exposure, numerous methods have been proposed to reconstruct standard-dose PET (SPET) images from the corresponding low-dose PET (LPET) images.

Image Reconstruction

GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment

no code implementations19 Jan 2024 Zewen Chen, Juan Wang, Bing Li, Chunfeng Yuan, Weiming Hu, Junxian Liu, Peng Li, Yan Wang, Youqun Zhang, Congxuan Zhang

Due to the subjective nature of image quality assessment (IQA), assessing which image has better quality among a sequence of images is more reliable than assigning an absolute mean opinion score for an image.

No-Reference Image Quality Assessment

SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding

no code implementations17 Jan 2024 Baoxiong Jia, Yixin Chen, Huangyue Yu, Yan Wang, Xuesong Niu, Tengyu Liu, Qing Li, Siyuan Huang

In comparison to recent advancements in the 2D domain, grounding language in 3D scenes faces several significant challenges: (i) the inherent complexity of 3D scenes due to the diverse object configurations, their rich attributes, and intricate relationships; (ii) the scarcity of paired 3D vision-language data to support grounded learning; and (iii) the absence of a unified learning framework to distill knowledge from grounded 3D data.

Scene Understanding Visual Grounding

Idempotence and Perceptual Image Compression

1 code implementation17 Jan 2024 Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

However, we find that theoretically: 1) Conditional generative model-based perceptual codec satisfies idempotence; 2) Unconditional generative model with idempotence constraint is equivalent to conditional generative codec.

Image Compression

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation

no code implementations16 Jan 2024 Zhixuan Chu, Yan Wang, Qing Cui, Longfei Li, Wenqing Chen, Sheng Li, Zhan Qin, Kui Ren

As personalized recommendation systems become vital in the age of information overload, traditional methods relying solely on historical user interactions often fail to fully capture the multifaceted nature of human interests.

Explainable Recommendation Recommendation Systems

A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters

no code implementations9 Jan 2024 Haiyan Hao, Yan Wang

To address the limitation, we propose a SIM-GAT model to predict spatiotemporal visitation flows between community business clusters and their trade areas.

Graph Attention

Energy based diffusion generator for efficient sampling of Boltzmann distributions

no code implementations4 Jan 2024 Yan Wang, Ling Guo, Hao Wu, Tao Zhou

We introduce a novel sampler called the energy based diffusion generator for generating samples from arbitrary target distributions.

Set Prediction Guided by Semantic Concepts for Diverse Video Captioning

no code implementations25 Dec 2023 Yifan Lu, Ziqi Zhang, Chunfeng Yuan, Peng Li, Yan Wang, Bing Li, Weiming Hu

Each caption in the set is attached to a concept combination indicating the primary semantic content of the caption and facilitating element alignment in set prediction.

Video Captioning

DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution

1 code implementation22 Dec 2023 Yan Wang, Tongtong Su, Yusen Li, Jiuwen Cao, Gang Wang, Xiaoguang Liu

Specifically, we propose a plug-in reparameterized dynamic unit (RDU) to promote the performance and inference cost trade-off.

Image Super-Resolution

Object Attribute Matters in Visual Question Answering

no code implementations20 Dec 2023 Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang

In this paper, we propose a novel VQA approach from the perspective of utilizing object attribute, aiming to achieve better object-level visual-language alignment and multimodal scene understanding.

Attribute Knowledge Distillation +5

Partial Label Learning with a Partner

no code implementations18 Dec 2023 Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen

To help existing PLL methods identify and rectify mislabeled samples, in this paper, we introduce a novel partner classifier and propose a novel ``mutual supervision'' paradigm.

Partial Label Learning

CogAgent: A Visual Language Model for GUI Agents

1 code implementation14 Dec 2023 Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxuan Zhang, Juanzi Li, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang

People are spending an enormous amount of time on digital devices through graphical user interfaces (GUIs), e. g., computer or smartphone screens.

Language Modelling Visual Question Answering

Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models

no code implementations9 Dec 2023 Shitian Zhao, Zhuowan Li, Yadong Lu, Alan Yuille, Yan Wang

We propose Causal Context Generation, Causal-CoG, which is a prompting strategy that engages contextual information to enhance precise VQA during inference.

Question Answering Visual Question Answering

Large Language Models for Intent-Driven Session Recommendations

1 code implementation7 Dec 2023 Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong

Intent-aware session recommendation (ISR) is pivotal in discerning user intents within sessions for precise predictions.

Unified learning-based lossy and lossless JPEG recompression

no code implementations5 Dec 2023 Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin

Most image compression algorithms only consider uncompressed original image, while ignoring a large number of already existing JPEG images.

Image Compression Quantization

An Embodied Generalist Agent in 3D World

1 code implementation18 Nov 2023 Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang

Leveraging massive knowledge and learning schemes from large language models (LLMs), recent machine learning models show notable successes in building generalist agents that exhibit the capability of general-purpose task solving in diverse domains, including natural language processing, computer vision, and robotics.

3D dense captioning Question Answering +3

Explainable History Distillation by Marked Temporal Point Process

no code implementations13 Nov 2023 Sishun Liu, Ke Deng, Yan Wang, Xiuzhen Zhang

To efficiently solve \acrshort{ehd}, we rewrite the task into a \gls{01ip} and directly estimate the solution to the program by a model called \acrfull{model}.


PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids

1 code implementation8 Nov 2023 Ruochi Zhang, Haoran Wu, Yuting Xiu, Kewei Li, Ningning Chen, Yu Wang, Yan Wang, Xin Gao, Fengfeng Zhou

In recent years, the scientific community has become increasingly interested on peptides with non-canonical amino acids due to their superior stability and resistance to proteolytic degradation.

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps

1 code implementation7 Nov 2023 Katie Z Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q Weinberger, Yue Wang, Marco Pavone

We propose a novel framework to integrate SD maps into online map prediction and propose a Transformer-based encoder, SD Map Encoder Representations from transFormers, to leverage priors in SD maps for the lane-topology prediction task.

Autonomous Driving Lane Detection

Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding

no code implementations6 Nov 2023 Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

In the forward process, DiffDose transforms dose distribution maps into pure Gaussian noise by gradually adding small noise and a noise predictor is simultaneously trained to estimate the noise added at each timestep.

Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context

no code implementations14 Oct 2023 Yicheng Song, Shuyong Gao, Haozhe Xing, Yiting Cheng, Yan Wang, Wenqiang Zhang

Unsupervised salient object detection aims to detect salient objects without using supervision signals eliminating the tedious task of manually labeling salient objects.

Contrastive Learning object-detection +4

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers

2 code implementations11 Oct 2023 Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew Lungren, Lei Xing, Le Lu, Alan Yuille, Yuyin Zhou

In this paper, we extend the 2D TransUNet architecture to a 3D network by building upon the state-of-the-art nnU-Net architecture, and fully exploring Transformers' potential in both the encoder and decoder design.

Image Segmentation Medical Image Segmentation +3

Bandwidth-efficient Inference for Neural Image Compression

no code implementations6 Sep 2023 Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu

With neural networks growing deeper and feature maps growing larger, limited communication bandwidth with external memory (or DRAM) and power constraints become a bottleneck in implementing network inference on mobile and edge devices.

Data Compression Image Compression +1

Gene-induced Multimodal Pre-training for Image-omic Classification

no code implementations6 Sep 2023 Ting Jin, Xingran Xie, Renjie Wan, Qingli Li, Yan Wang

Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine.

Classification whole slide images

Mind vs. Mouth: On Measuring Re-judge Inconsistency of Social Bias in Large Language Models

no code implementations24 Aug 2023 Yachao Zhao, Bo wang, Dongming Zhao, Kun Huang, Yan Wang, Ruifang He, Yuexian Hou

We propose that this re-judge inconsistency can be similar to the inconsistency between human's unaware implicit social bias and their aware explicit social bias.

A Unified Framework for 3D Point Cloud Visual Grounding

1 code implementation23 Aug 2023 Haojia Lin, Yongdong Luo, Xiawu Zheng, Lijiang Li, Fei Chao, Taisong Jin, Donghao Luo, Yan Wang, Liujuan Cao, Rongrong Ji

This elaborate design enables 3DRefTR to achieve both well-performing 3DRES and 3DREC capacities with only a 6% additional latency compared to the original 3DREC model.

Referring Expression Referring Expression Comprehension +1

Polymerized Feature-based Domain Adaptation for Cervical Cancer Dose Map Prediction

no code implementations20 Aug 2023 Jie Zeng, Zeyu Han, Xingchen Peng, Jianghong Xiao, Peng Wang, Yan Wang

Recently, deep learning (DL) has automated and accelerated the clinical radiation therapy (RT) planning significantly by predicting accurate dose maps.

Domain Adaptation

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

1 code implementation20 Aug 2023 Zeyu Han, YuHan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen

To obtain high-quality positron emission tomography (PET) scans while reducing radiation exposure to the human body, various approaches have been proposed to reconstruct standard-dose PET (SPET) images from low-dose PET (LPET) images.

Conditional Perceptual Quality Preserving Image Compression

no code implementations16 Aug 2023 Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

We propose conditional perceptual quality, an extension of the perceptual quality defined in \citet{blau2018perception}, by conditioning it on user defined information.

Image Compression

TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms

no code implementations10 Aug 2023 Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen

Specifically, the TriDo-Former consists of two cascaded networks, i. e., a sinogram enhancement transformer (SE-Former) for denoising the input LPET sinograms and a spatial-spectral reconstruction transformer (SSR-Former) for reconstructing SPET images from the denoised sinograms.

Denoising Image Reconstruction +1

Cross-heterogeneity Graph Few-shot Learning

no code implementations10 Aug 2023 Pengfei Ding, Yan Wang, Guanfeng Liu

In recent years, heterogeneous graph few-shot learning has been proposed to address the label sparsity issue in heterogeneous graphs (HGs), which contain various types of nodes and edges.

Few-Shot Learning Informativeness

Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance

1 code implementation9 Aug 2023 Zijun Cheng, Qiujian Lv, Jinyuan Liang, Yan Wang, Degang Sun, Thomas Pasquier, Xueyuan Han

Sifting through their design documents, we identify four common dimensions that drive the development of provenance-based intrusion detection systems (PIDSes): scope (can PIDSes detect modern attacks that infiltrate across application boundaries?

Intrusion Detection

Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra

no code implementations4 Aug 2023 Liang Liao, Zhuang Guo, Qi Gao, Yan Wang, Fajun Yu, Qifeng Zhao, Stephen Johh Maybank

To improve the accuracy of color image completion with missing entries, we present a recovery method based on generalized higher-order scalars.

Matrix Completion

Continual Learning in Predictive Autoscaling

no code implementations29 Jul 2023 Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou

In order to surmount this challenge and effectively integrate new sample distribution, we propose a density-based sample selection strategy that utilizes kernel density estimation to calculate sample density as a reference to compute sample weight, and employs weight sampling to construct a new memory set.

Continual Learning Density Estimation

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation

no code implementations26 Jul 2023 JiaJie Zhu, Yan Wang, Feng Zhu, Zhu Sun

In DIDA-CDR, we first propose an interpolative data augmentation approach to generating both relevant and diverse augmented user representations to augment sparser domain and explore potential user preferences.

Data Augmentation Disentanglement

DiffDP: Radiotherapy Dose Prediction via a Diffusion Model

no code implementations19 Jul 2023 Zhenghao Feng, Lu Wen, Peng Wang, Binyu Yan, Xi Wu, Jiliu Zhou, Yan Wang

To alleviate this limitation, we innovatively introduce a diffusion-based dose prediction (DiffDP) model for predicting the radiotherapy dose distribution of cancer patients.


EasyTPP: Towards Open Benchmarking Temporal Point Processes

1 code implementation16 Jul 2023 Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei

In this paper, we present EasyTPP, the first central repository of research assets (e. g., data, models, evaluation programs, documentations) in the area of event sequence modeling.

Benchmarking Point Processes

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling

no code implementations16 Jul 2023 Longyue Wang, Zefeng Du, Donghuai Liu, Deng Cai, Dian Yu, Haiyun Jiang, Yan Wang, Leyang Cui, Shuming Shi, Zhaopeng Tu

Modeling discourse -- the linguistic phenomena that go beyond individual sentences, is a fundamental yet challenging aspect of natural language processing (NLP).

Language Modelling Sentence

Copy Is All You Need

1 code implementation13 Jul 2023 Tian Lan, Deng Cai, Yan Wang, Heyan Huang, Xian-Ling Mao

The dominant text generation models compose the output by sequentially selecting words from a fixed vocabulary.

Domain Adaptation Language Modelling +1

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency

no code implementations1 Jul 2023 Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu

Extensive studies have shown that deep learning models are vulnerable to adversarial and natural noises, yet little is known about model robustness on noises caused by different system implementations.

Benchmarking Data Augmentation +5

Improving the Transferability of Time Series Forecasting with Decomposition Adaptation

no code implementations30 Jun 2023 Yan Gao, Yan Wang, Qiang Wang

However, in time series forecasting, it is difficult to obtain enough data, which limits the performance of neural forecasting models.

Multivariate Time Series Forecasting Time Series +1

A Unified Framework for Online Data-Driven Predictive Control with Robust Safety Guarantees

no code implementations29 Jun 2023 Amin Vahidi-Moghaddam, Kaian Chen, Kaixiang Zhang, Zhaojian Li, Yan Wang, Kai Wu

Despite great successes, model predictive control (MPC) relies on an accurate dynamical model and requires high onboard computational power, impeding its wider adoption in engineering systems, especially for nonlinear real-time systems with limited computation power.

Model Predictive Control

Extended Neighboring Extremal Optimal Control with State and Preview Perturbations

no code implementations7 Jun 2023 Amin Vahidi-Moghaddam, Kaixiang Zhang, Zhaojian Li, Xunyuan Yin, Ziyou Song, Yan Wang

In this work, an extended NE (ENE) framework is developed to systematically adapt the nominal control to both state and preview perturbations.

Model Predictive Control

Asymptotic Performance Analysis of Large-Scale Active IRS-Aided Wireless Network

no code implementations31 May 2023 Yan Wang, Feng Shu, Zhihong Zhuang, Rongen Dong, Qi Zhang, Di wu, Liang Yang, Jiangzhou Wang

Numerical simulation results show that a 3-bit discrete phase shifter is required to achieve a trivial performance loss for a large-scale active IRS.


MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations

no code implementations31 May 2023 Yan Wang, Heidi Ann Scharf Donovan, Sabit Hassan, Mailhe Alikhani

In this paper, we present a novel dataset (MedNgage), which consists of patient-nurse conversations about cancer symptom management.


Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

1 code implementation30 May 2023 Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi

To address the DoT problem, we propose a Multi-Agent Debate (MAD) framework, in which multiple agents express their arguments in the state of "tit for tat" and a judge manages the debate process to obtain a final solution.

Arithmetic Reasoning Machine Translation

PandaGPT: One Model To Instruction-Follow Them All

1 code implementation25 May 2023 Yixuan Su, Tian Lan, Huayang Li, Jialu Xu, Yan Wang, Deng Cai

To do so, PandaGPT combines the multimodal encoders from ImageBind and the large language models from Vicuna.

Instruction Following

Joint Uplink and Downlink Resource Allocation Towards Energy-efficient Transmission for URLLC

no code implementations25 May 2023 Kang Li, Pengcheng Zhu, Yan Wang, Fu-Chun Zheng, Xiaohu You

With the proposed packet delivery mechanism, we jointly optimize bandwidth allocation and power control of uplink and downlink, antenna configuration, and subchannel assignment to minimize the average total power under the constraint of URLLC transmission requirements.

Privacy-preserving Adversarial Facial Features

no code implementations CVPR 2023 Zhibo Wang, He Wang, Shuaifan Jin, Wenwen Zhang, Jiahui Hu, Yan Wang, Peng Sun, Wei Yuan, Kaixin Liu, Kui Ren

In this paper, we propose an adversarial features-based face privacy protection (AdvFace) approach to generate privacy-preserving adversarial features, which can disrupt the mapping from adversarial features to facial images to defend against reconstruction attacks.

Face Recognition Privacy Preserving

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial

1 code implementation7 May 2023 Venkat Nemani, Luca Biggio, Xun Huan, Zhen Hu, Olga Fink, Anh Tran, Yan Wang, Xiaoge Zhang, Chao Hu

In this tutorial, we aim to provide a holistic lens on emerging UQ methods for ML models with a particular focus on neural networks and the applications of these UQ methods in tackling engineering design as well as prognostics and health management problems.

Decision Making Management +2

FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation

no code implementations26 Apr 2023 Yan Wang, Jian Cheng, Yixin Chen, Shuai Shao, Lanyun Zhu, Zhenzhou Wu, Tao Liu, Haogang Zhu

In FVP, the visual prompt is parameterized using only a small amount of low-frequency learnable parameters in the input frequency space, and is learned by minimizing the segmentation loss between the predicted segmentation of the prompted target image and reliable pseudo segmentation label of the target image under the frozen model.

Image Segmentation Medical Image Segmentation +4

Experience-Based Evolutionary Algorithms for Expensive Optimization

1 code implementation9 Apr 2023 Xunzhao Yu, Yan Wang, Ling Zhu, Dimitar Filev, Xin Yao

Our experimental results on expensive multi-objective and constrained optimization problems demonstrate that experiences gained from related tasks are beneficial for the saving of evaluation budgets on the target problem.

Evolutionary Algorithms Meta-Learning

Efficient Decision-based Black-box Patch Attacks on Video Recognition

no code implementations ICCV 2023 Kaixun Jiang, Zhaoyu Chen, Hao Huang, Jiafeng Wang, Dingkang Yang, Bo Li, Yan Wang, Wenqiang Zhang

First, STDE introduces target videos as patch textures and only adds patches on keyframes that are adaptively selected by temporal difference.

Video Recognition

VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection

2 code implementations20 Mar 2023 Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang

In autonomous driving, Vehicle-Infrastructure Cooperative 3D Object Detection (VIC3D) makes use of multi-view cameras from both vehicles and traffic infrastructure, providing a global vantage point with rich semantic context of road conditions beyond a single vehicle viewpoint.

3D Object Detection Autonomous Driving +2

SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation

1 code implementation15 Mar 2023 Siqi Fan, Zhe Wang, Yan Wang, Jingjing Liu

For semantic segmentation in urban scene understanding, RGB cameras alone often fail to capture a clear holistic topology in challenging lighting conditions.

Data Augmentation Segmentation +2

Calibration-free BEV Representation for Infrastructure Perception

1 code implementation7 Mar 2023 Siqi Fan, Zhe Wang, Xiaoliang Huo, Yan Wang, Jingjing Liu

Effective BEV object detection on infrastructure can greatly improve traffic scenes understanding and vehicle-toinfrastructure (V2I) cooperative perception.

3D Object Detection object-detection

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation

no code implementations13 Feb 2023 Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang

In recommendation scenarios, there are two long-standing challenges, i. e., selection bias and data sparsity, which lead to a significant drop in prediction accuracy for both Click-Through Rate (CTR) and post-click Conversion Rate (CVR) tasks.

counterfactual Multi-Task Learning +1

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models

1 code implementation10 Feb 2023 Yang Liu, Dingkang Yang, Yan Wang, Jing Liu, Jun Liu, Azzedine Boukerche, Peng Sun, Liang Song

Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance systems, enabling the temporal or spatial identification of anomalous events within videos.

Anomaly Detection Event Detection +1

IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning

no code implementations7 Feb 2023 Ling Guo, Hao Wu, Wenwen Zhou, Yan Wang, Tao Zhou

We propose a novel framework for uncertainty quantification via information bottleneck (IB-UQ) for scientific machine learning tasks, including deep neural network (DNN) regression and neural operator learning (DeepONet).

Data Augmentation Operator learning +2

Exploring Invariant Representation for Visible-Infrared Person Re-Identification

no code implementations2 Feb 2023 Lei Tan, Yukang Zhang, ShengMei Shen, Yan Wang, Pingyang Dai, Xianming Lin, Yongjian Wu, Rongrong Ji

Cross-spectral person re-identification, which aims to associate identities to pedestrians across different spectra, faces a main challenge of the modality discrepancy.

Data Augmentation Person Re-Identification

A Counterfactual Collaborative Session-based Recommender System

1 code implementation31 Jan 2023 Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin

Next, COCO-SBRS adopts counterfactual inference to recommend items based on the outputs of the pre-trained recommendation model considering the causalities to alleviate the data sparsity problem.

counterfactual Counterfactual Inference +1

Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning

no code implementations CVPR 2023 Ming Li, Qingli Li, Yan Wang

The second key element is that we design class balanced adaptive thresholds via considering the empirical distribution of all training data in local clients, to encourage a balanced training process.

Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One

no code implementations ICCV 2023 Qiankun Ma, Jiyao Gao, Bo Zhan, Yunpeng Guo, Jiliu Zhou, Yan Wang

Conventional semi-supervised learning (SSL) lies in the close-set assumption that the labeled and unlabeled sets contain data with the same seen classes, called in-distribution (ID) data.

Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle

1 code implementation ICCV 2023 Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji

In this paper, we try to solve this problem by introducing a principled and unified framework based on Information Bottleneck (IB) theory, which further guides us to an automatic pruning approach.

Network Pruning

MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery

1 code implementation CVPR 2023 Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang

Our strategy encourages unlabeled images to learn organ semantics in relative locations from the labeled images (cross-branch) and enhances the learning ability for small organs (within-branch).

Anatomy Data Augmentation +4

GeneFormer: Learned Gene Compression using Transformer-based Context Modeling

no code implementations16 Dec 2022 Zhanbei Cui, Yu Liao, Tongda Xu, Yan Wang

Then, we propose fixed-length parallel grouping to accelerate the decoding speed of our autoregressive model.

Data Compression

SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud

1 code implementation6 Dec 2022 Yan Wang, Junbo Yin, Wei Li, Pascal Frossard, Ruigang Yang, Jianbing Shen

However, these UDA solutions just yield unsatisfactory 3D detection results when there is a severe domain shift, e. g., from Waymo (64-beam) to nuScenes (32-beam).

3D Object Detection Autonomous Driving +5

Generalizing Math Word Problem Solvers via Solution Diversification

1 code implementation1 Dec 2022 Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang

In this paper, we design a new training framework for an MWP solver by introducing a solution buffer and a solution discriminator.


Meta Architecture for Point Cloud Analysis

1 code implementation CVPR 2023 Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji

However, the lack of a unified framework to interpret those networks makes any systematic comparison, contrast, or analysis challenging, and practically limits healthy development of the field.

ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression

no code implementations20 Nov 2022 Yiqi Jin, Ziyu Zhu, Tongda Xu, Yuhuan Lin, Yan Wang

For octree-based point cloud compression, previous works show that the information of ancestor nodes and sibling nodes are equally important for predicting current node.

FedVMR: A New Federated Learning method for Video Moment Retrieval

no code implementations28 Oct 2022 Yan Wang, Xin Luo, Zhen-Duo Chen, Peng-Fei Zhang, Meng Liu, Xin-Shun Xu

As the first that is explored in VMR field, the new task is defined as video moment retrieval with distributed data.

Federated Learning Moment Retrieval +1

Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers

2 code implementations5 Oct 2022 Yan Wang, Gautham Vasan, A. Rupam Mahmood

A common setup for a robotic agent is to have two different computers simultaneously: a resource-limited local computer tethered to the robot and a powerful remote computer connected wirelessly.

Reinforcement Learning (RL)

Spatial Moment Pooling Improves Neural Image Assessment

no code implementations29 Sep 2022 Tongda Xu, Yifan Shao, Yan Wang, Hongwei Qin

In recent years, there has been widespread attention drawn to convolutional neural network (CNN) based blind image quality assessment (IQA).

Blind Image Quality Assessment

Multi-scale Attention Network for Single Image Super-Resolution

1 code implementation28 Sep 2022 Yan Wang, Yusen Li, Gang Wang, Xiaoguang Liu

In this paper, we propose a CNN-based multi-scale attention network (MAN), which consists of multi-scale large kernel attention (MLKA) and a gated spatial attention unit (GSAU), to improve the performance of convolutional SR networks.

Blocking Image Super-Resolution +1

HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

1 code implementation21 Sep 2022 Xiangzuo Huo, Gang Sun, Shengwei Tian, Yan Wang, Long Yu, Jun Long, Wendong Zhang, Aolun Li

A parallel hierarchy of local and global feature blocks is designed to efficiently extract local features and global representations at various semantic scales, with the flexibility to model at different scales and linear computational complexity relevant to image size.

Image Classification Inductive Bias +1

Flexible Neural Image Compression via Code Editing

no code implementations19 Sep 2022 Chenjian Gao, Tongda Xu, Dailan He, Hongwei Qin, Yan Wang

Neural image compression (NIC) has outperformed traditional image codecs in rate-distortion (R-D) performance.

Image Compression Quantization

S$^3$R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification

no code implementations19 Sep 2022 Xingran Xie, Yan Wang, Qingli Li

More concretely, we propose to learn a set of linear coefficients that can be used to represent one band by the remaining bands via masking out these bands.

Contrastive Learning Image Classification +1

Trustworthy Recommender Systems

no code implementations10 Aug 2022 Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci

However, researchers lack a systematic overview and discussion of the literature in this novel and fast developing field of TRSs.

Recommendation Systems

Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions

no code implementations6 Aug 2022 Siddharth H. Nair, Vijay Govindarajan, Theresa Lin, Yan Wang, Eric H. Tseng, Francesco Borrelli

The proposed approach is demonstrated on a longitudinal control example, with uncertainties in predictions of the autonomous and surrounding vehicles.

Autonomous Driving

Effidit: Your AI Writing Assistant

no code implementations3 Aug 2022 Shuming Shi, Enbo Zhao, Duyu Tang, Yan Wang, Piji Li, Wei Bi, Haiyun Jiang, Guoping Huang, Leyang Cui, Xinting Huang, Cong Zhou, Yong Dai, Dongyang Ma

In Effidit, we significantly expand the capacities of a writing assistant by providing functions in five categories: text completion, error checking, text polishing, keywords to sentences (K2S), and cloud input methods (cloud IME).

Keywords to Sentences Retrieval +3

Weakly Supervised Video Salient Object Detection via Point Supervision

no code implementations15 Jul 2022 Shuyong Gao, Haozhe Xing, Wei zhang, Yan Wang, Qianyu Guo, Wenqiang Zhang

Several works attempt to use scribble annotations to mitigate this problem, but point supervision as a more labor-saving annotation method (even the most labor-saving method among manual annotation methods for dense prediction), has not been explored.

Object object-detection +3

Few-Shot Semantic Relation Prediction across Heterogeneous Graphs

no code implementations11 Jul 2022 Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou

In real-world scenarios, new semantic relations constantly emerge and they typically appear with only a few labeled data.

Meta-Learning Relation

Multi-agent systems with CBF-based controllers -- collision avoidance and liveness from instability

no code implementations11 Jul 2022 Mrdjan Jankovic, Mario Santillo, Yan Wang

Monte Carlo simulations show that decentralized, host-only control policies and CCS lack liveness while the PCCA policy performs as well as the Centralized.

Collision Avoidance

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

1 code implementation6 Jul 2022 Yuan YAO, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan Yuille, Yongyi Lu

Previous methods proposed Variational Autoencoder (VAE) based models to learn the distribution of shape for a particular organ and used it to automatically evaluate the quality of a segmentation prediction by fitting it into the learned shape distribution.

Image Segmentation Pancreas Segmentation +3

Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera

1 code implementation30 Jun 2022 Hongrui Cai, Wanquan Feng, Xuetao Feng, Yan Wang, Juyong Zhang

We propose Neural-DynamicReconstruction (NDR), a template-free method to recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D camera.

Dynamic Reconstruction Monocular Reconstruction +2

Automatic Prosody Annotation with Pre-Trained Text-Speech Model

1 code implementation16 Jun 2022 Ziqian Dai, Jianwei Yu, Yan Wang, Nuo Chen, Yanyao Bian, Guangzhi Li, Deng Cai, Dong Yu

Prosodic boundary plays an important role in text-to-speech synthesis (TTS) in terms of naturalness and readability.

Speech Synthesis Text-To-Speech Synthesis

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities

no code implementations22 May 2022 Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal

In recent years, sequential recommender systems (SRSs) and session-based recommender systems (SBRSs) have emerged as a new paradigm of RSs to capture users' short-term but dynamic preferences for enabling more timely and accurate recommendations.

Session-Based Recommendations

A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting

2 code implementations20 May 2022 Weiguo Zhu, Yongqi Sun, Xintong Yi, Yan Wang

In this paper, based on the maximal information coefficient, we present two elaborate spatiotemporal representations, spatial correlation information (SCorr) and temporal correlation information (TCorr).

Traffic Prediction

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

2 code implementations11 May 2022 Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.

Image Super-Resolution

Effectively Using Long and Short Sessions for Multi-Session-based Recommendations

no code implementations9 May 2022 Zihan Wang, Gang Wu, Yan Wang

The RNN often used in previous work is not suitable to process short sessions, because RNN only focuses on the sequential relationship, which we find is not the only relationship between items in short sessions.

Session-Based Recommendations

Language Models Can See: Plugging Visual Controls in Text Generation

1 code implementation5 May 2022 Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lingpeng Kong, Nigel Collier

MAGIC is a flexible framework and is theoretically compatible with any text generation tasks that incorporate image grounding.

Image Captioning Image-text matching +3

Edge-enhanced Feature Distillation Network for Efficient Super-Resolution

1 code implementation19 Apr 2022 Yan Wang

With the recently massive development in convolution neural networks, numerous lightweight CNN-based image super-resolution methods have been proposed for practical deployments on edge devices.

Image Super-Resolution

Weakly-Supervised Salient Object Detection Using Point Supervision

1 code implementation22 Mar 2022 Shuyong Gao, Wei zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang

Then we develop a transformer-based point-supervised saliency detection model to produce the first round of saliency maps.

Object object-detection +3

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

5 code implementations CVPR 2022 Dailan He, Ziming Yang, Weikun Peng, Rui Ma, Hongwei Qin, Yan Wang

Recently, learned image compression techniques have achieved remarkable performance, even surpassing the best manually designed lossy image coders.

Image Compression

ContrastMask: Contrastive Learning to Segment Every Thing

1 code implementation CVPR 2022 Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen

In this framework, annotated masks of seen categories and pseudo masks of unseen categories serve as a prior for contrastive learning, where features from the mask regions (foreground) are pulled together, and are contrasted against those from the background, and vice versa.

Instance Segmentation Segmentation +1

Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition

no code implementations16 Feb 2022 Yimu Wang, Kun Yu, Yan Wang, Hui Xue

In this paper, to extract a better feature for advancing the performance, we propose a novel method, namely multi-view fusion transformer (MVFT) along with a novel attention mechanism.

Human Activity Recognition Time Series +1

Post-Training Quantization for Cross-Platform Learned Image Compression

no code implementations15 Feb 2022 Dailan He, Ziming Yang, Yuan Chen, Qi Zhang, Hongwei Qin, Yan Wang

It has been witnessed that learned image compression has outperformed conventional image coding techniques and tends to be practical in industrial applications.

Image Compression Quantization

A Contrastive Framework for Neural Text Generation

2 code implementations13 Feb 2022 Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier

Text generation is of great importance to many natural language processing applications.

Text Generation

A Survey on Retrieval-Augmented Text Generation

no code implementations2 Feb 2022 Huayang Li, Yixuan Su, Deng Cai, Yan Wang, Lemao Liu

Recently, retrieval-augmented text generation attracted increasing attention of the computational linguistics community.

Machine Translation Response Generation +3

Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra

1 code implementation1 Feb 2022 Liang Liao, Sen Lin, Lun Li, Xiuwei Zhang, Song Zhao, Yan Wang, Xinqiang Wang, Qi Gao, Jingyu Wang

Higher order singular value decomposition (HOSVD) extends the SVD and can approximate higher order data using sums of a few rank-one components.

Protum: A New Method For Prompt Tuning Based on "[MASK]"

no code implementations28 Jan 2022 Pan He, Yuxi Chen, Yan Wang, Yanru Zhang

In response to the above issue, we propose a new \textbf{Pro}mpt \textbf{Tu}ning based on "[\textbf{M}ASK]" (\textbf{Protum}) method in this paper, which constructs a classification task through the information carried by the hidden layer of "[MASK]" tokens and then predicts the labels directly rather than the answer tokens.

Language Modelling

Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation

no code implementations24 Dec 2021 Zhiwei Liu, Xiangyu Zhu, Lu Yang, Xiang Yan, Ming Tang, Zhen Lei, Guibo Zhu, Xuetao Feng, Yan Wang, Jinqiao Wang

In the second stage, we design a mesh refinement transformer (MRT) to respectively refine each coarse reconstruction result via a self-attention mechanism.

Ranked #61 on 3D Human Pose Estimation on 3DPW (MPJPE metric)

3D human pose and shape estimation 3D Reconstruction

Intriguing Findings of Frequency Selection for Image Deblurring

2 code implementations23 Nov 2021 Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang

Blur was naturally analyzed in the frequency domain, by estimating the latent sharp image and the blur kernel given a blurry image.

Deblurring Image Deblurring +1

Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation

no code implementations14 Oct 2021 Hangcheng Dong, Jingxiao Liao, Yan Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu

Our main contributions are that we propose the theorems to characterize the optimal solution of the PWLA problem and present the LNN method for solving it.

Exploring Dense Retrieval for Dialogue Response Selection

1 code implementation13 Oct 2021 Tian Lan, Deng Cai, Yan Wang, Yixuan Su, Heyan Huang, Xian-Ling Mao

In this study, we present a solution to directly select proper responses from a large corpus or even a nonparallel corpus that only consists of unpaired sentences, using a dense retrieval model.

Conversational Response Selection Retrieval