Search Results for author: Wen Wang

Found 77 papers, 31 papers with code

AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort

no code implementations19 Nov 2023 Wen Wang, Canyu Zhao, Hao Chen, Zhekai Chen, Kecheng Zheng, Chunhua Shen

We empirically find that sparse control conditions, such as bounding boxes, are suitable for layout planning, while dense control conditions, e. g., sketches and keypoints, are suitable for generating high-quality image content.

Image Generation Story Visualization

CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation

1 code implementation14 Nov 2023 Weixiang Yan, Haitian Liu, Yunkun Wang, Yunzhe Li, Qian Chen, Wen Wang, Tingyu Lin, Weishan Zhao, Li Zhu, Shuiguang Deng, Hari Sundaram

To bridge these gaps between existing benchmarks and expectations from practical applications, we introduce CodeScope, an execution-based, multilingual, multi-task, multi-dimensional evaluation benchmark for comprehensively gauging LLM capabilities on coding tasks.

Code Generation

Loss Masking Is Not Needed in Decoder-only Transformer for Discrete-token Based ASR

no code implementations8 Nov 2023 Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Shiliang Zhang, Chong Deng, Yukun Ma, Hai Yu, Jiaqing Liu, Chong Zhang

Specifically, all these models utilize Loss Masking on the input speech tokens for the ASR task, which means that these models do not explicitly model the dependency between the speech tokens.

Object-aware Inversion and Reassembly for Image Editing

no code implementations18 Oct 2023 Zhen Yang, Dinggang Gui, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen

Specifically, we design a new search metric, which determines the optimal inversion steps for each editing pair, by jointly considering the editability of the target and the fidelity of the non-editing region.

Benchmarking Denoising

Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling

1 code implementation18 Oct 2023 Hai Yu, Chong Deng, Qinglin Zhang, Jiaqing Liu, Qian Chen, Wen Wang

Our approach improve $F_1$ of old SOTA by 3. 42 (73. 74 -> 77. 16) and reduces $P_k$ by 1. 11 points (15. 0 -> 13. 89) on WIKI-727K and achieves an average relative reduction of 4. 3% on $P_k$ on WikiSection.

Information Retrieval Segmentation +2

CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation

1 code implementation8 Oct 2023 Weixiang Yan, Yuchen Tian, Yunzhe Li, Qian Chen, Wen Wang

To advance research on code translation and meet diverse requirements of real-world applications, we construct CodeTransOcean, a large-scale comprehensive benchmark that supports the largest variety of programming languages for code translation.

Code Translation Machine Translation +1

Multi-Functional Reconfigurable Intelligent Surface: System Modeling and Performance Optimization

no code implementations4 Oct 2023 Wen Wang, Wanli Ni, Hui Tian, Yonina C. Eldar, Rui Zhang

In this paper, we propose and study a multi-functional reconfigurable intelligent surface (MF-RIS) architecture.

Performance Analysis and Optimization of Reconfigurable Multi-Functional Surface Assisted Wireless Communications

no code implementations4 Oct 2023 Wen Wang, Wanli Ni, Hui Tian, Naofal Al-Dhahir

To realize a self-sustainable communication system, we investigate the use of MF-RIS in improving the sum-rate of multi-user wireless networks.

Improving BERT with Hybrid Pooling Network and Drop Mask

no code implementations14 Jul 2023 Qian Chen, Wen Wang, Qinglin Zhang, Chong Deng, Ma Yukun, Siqi Zheng

Transformer-based pre-trained language models, such as BERT, achieve great success in various natural language understanding tasks.

Language Modelling Masked Language Modeling +2

Exploiting Correlations Between Contexts and Definitions with Multiple Definition Modeling

no code implementations24 May 2023 Linhan Zhang, Qian Chen, Wen Wang, Yuxin Jiang, Bing Li, Wei Wang, Xin Cao

In this paper, we carefully design a new task called Multiple Definition Modeling (MDM) that pool together all contexts and definition of target words.

Enhancing Generation through Summarization Duality and Explicit Outline Control

no code implementations23 May 2023 Yunzhe Li, Qian Chen, Weixiang Yan, Wen Wang, Qinglin Zhang, Hari Sundaram

To address this, we propose a novel explicit outline control method for more effective utilization of generated outlines.

Text Generation

Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings

1 code implementation18 May 2023 Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Chong Deng, Hai Yu, Jiaqing Liu, Yukun Ma, Chong Zhang

Prior studies diagnose the anisotropy problem in sentence representations from pre-trained language models, e. g., BERT, without fine-tuning.

Language Modelling Semantic Textual Similarity +3

SegGPT: Segmenting Everything In Context

1 code implementation6 Apr 2023 Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang

We unify various segmentation tasks into a generalist in-context learning framework that accommodates different kinds of segmentation data by transforming them into the same format of images.

 Ranked #1 on Few-Shot Semantic Segmentation on PASCAL-5i (5-Shot) (using extra training data)

Few-Shot Semantic Segmentation Panoptic Segmentation +4

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

1 code implementation30 Mar 2023 Wen Wang, Kangyang Xie, Zide Liu, Hao Chen, Yue Cao, Xinlong Wang, Chunhua Shen

Our vid2vid-zero leverages off-the-shelf image diffusion models, and doesn't require training on any video.

Image Generation Video Alignment +1

Meeting Action Item Detection with Regularized Context Modeling

no code implementations27 Mar 2023 Jiaqing Liu, Chong Deng, Qinglin Zhang, Qian Chen, Wen Wang

We construct and release the first Chinese meeting corpus with manual action item annotations.

Contrastive Learning

MUG: A General Meeting Understanding and Generation Benchmark

1 code implementation24 Mar 2023 Qinglin Zhang, Chong Deng, Jiaqing Liu, Hai Yu, Qian Chen, Wen Wang, Zhijie Yan, Jinglin Liu, Yi Ren, Zhou Zhao

To prompt SLP advancement, we establish a large-scale general Meeting Understanding and Generation Benchmark (MUG) to benchmark the performance of a wide range of SLP tasks, including topic segmentation, topic-level and session-level extractive summarization and topic title generation, keyphrase extraction, and action item detection.

Extractive Summarization Keyphrase Extraction +1

Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)

no code implementations24 Mar 2023 Qinglin Zhang, Chong Deng, Jiaqing Liu, Hai Yu, Qian Chen, Wen Wang, Zhijie Yan, Jinglin Liu, Yi Ren, Zhou Zhao

ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) focuses on prompting a wide range of spoken language processing (SLP) research on meeting transcripts, as SLP applications are critical to improve users' efficiency in grasping important information in meetings.

Extractive Summarization Keyphrase Extraction

Weighted Sampling for Masked Language Modeling

no code implementations28 Feb 2023 Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Xin Cao, Kongzhang Hao, Yuxin Jiang, Wei Wang

Experiments on the Semantic Textual Similarity benchmark (STS) show that WSBERT significantly improves sentence embeddings over BERT.

Language Modelling Masked Language Modeling +4

Fast Contextual Scene Graph Generation With Unbiased Context Augmentation

no code implementations CVPR 2023 Tianlei Jin, Fangtai Guo, Qiwei Meng, Shiqiang Zhu, Xiangming Xi, Wen Wang, Zonghao Mu, Wei Song

Therefore, at the context level, we can produce diverse context descriptions by using a context augmentation method based on the original dataset.

Graph Generation Scene Graph Generation

SegGPT: Towards Segmenting Everything in Context

no code implementations ICCV 2023 Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang

We unify various segmentation tasks into a generalist in-context learning framework that accommodates different kinds of segmentation data by transforming them into the same format of images.

Few-Shot Semantic Segmentation Panoptic Segmentation +3

Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning

1 code implementation CVPR 2023 Wenju Sun, Qingyong Li, Jing Zhang, Wen Wang, Yangli-ao Geng

BMKP decouples the functions of learning and knowledge remembering via a bilevel-memory design: a working memory responsible for adaptively model learning, to ensure plasticity; a long-term memory in charge of enduringly storing the knowledge incorporated within the learned model, to guarantee stability.

Incremental Learning

Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation

1 code implementation16 Dec 2022 Qian Yang, Qian Chen, Wen Wang, Baotian Hu, Min Zhang

Moreover, the pipelined approaches of retrieval and generation might result in poor generation performance when retrieval performance is low.

Answer Generation Language Modelling +3

DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect

no code implementations14 Dec 2022 Jinglin Liu, Zhenhui Ye, Qian Chen, Siqi Zheng, Wen Wang, Qinglin Zhang, Zhou Zhao

Recently, binaural audio synthesis (BAS) has emerged as a promising research field for its applications in augmented and virtual realities.

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

1 code implementation CVPR 2023 Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang

In this work, we present Painter, a generalist model which addresses these obstacles with an "image"-centric solution, that is, to redefine the output of core vision tasks as images, and specify task prompts as also images.

Keypoint Detection Personalized Segmentation +1

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

6 code implementations CVPR 2023 Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao

We launch EVA, a vision-centric foundation model to explore the limits of visual representation at scale using only publicly accessible data.

 Ranked #1 on Object Detection on COCO-O (using extra training data)

Action Classification Action Recognition +9

RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery

no code implementations30 Sep 2022 Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao

The extraction of sequence patterns from a collection of functionally linked unlabeled DNA sequences is known as DNA motif discovery, and it is a key task in computational biology.

reinforcement-learning Reinforcement Learning (RL)

Diffsound: Discrete Diffusion Model for Text-to-sound Generation

1 code implementation20 Jul 2022 Dongchao Yang, Jianwei Yu, Helin Wang, Wen Wang, Chao Weng, Yuexian Zou, Dong Yu

In this study, we investigate generating sound conditioned on a text prompt and propose a novel text-to-sound generation framework that consists of a text encoder, a Vector Quantized Variational Autoencoder (VQ-VAE), a decoder, and a vocoder.

Audio Generation

TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot

1 code implementation8 Jul 2022 Wen Wang, Shunda Hu, Shiqiang Zhu, Wei Song, Zheyuan Lin, Tianlei Jin, Zonghao Mu, Yuanhai Zhou

A service robot serving safely and politely needs to track the surrounding people robustly, especially for Tour-Guide Robot (TGR).

Multi-Object Tracking

CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose

1 code implementation CVPR 2023 Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, DaCheng Tao

Motivated by the progress of visual-language research, we propose that pre-trained language models (e. g., CLIP) can facilitate animal pose estimation by providing rich prior knowledge for describing animal keypoints in text.

Animal Pose Estimation Contrastive Learning

Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI

no code implementations29 May 2022 Wen Wang, Wanli Ni, Hui Tian, Zhaohui Yang, Chongwen Huang, Kai-Kit Wong

This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks.

A Simple yet Effective Framework for Active Learning to Rank

no code implementations20 May 2022 Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin

To handle the diverse query requests from users at web-scale, Baidu has done tremendous efforts in understanding users' queries, retrieve relevant contents from a pool of trillions of webpages, and rank the most relevant webpages on the top of results.

Active Learning Learning-To-Rank

DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware Decoder

1 code implementation30 Mar 2022 Jiaao Zhan, Qian Chen, Boxing Chen, Wen Wang, Yu Bai, Yang Gao

We propose a novel and general Dependency-Aware Decoder (DePA) to enhance target dependency modeling in the decoder of fully NAT models from two perspectives: decoder self-attention and decoder input.

Machine Translation Translation

Towards Data-Efficient Detection Transformers

2 code implementations17 Mar 2022 Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, DaCheng Tao

Besides, we introduce a simple yet effective label augmentation method to provide richer supervision and improve data efficiency.

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers

1 code implementation5 Jan 2022 Wenju Sun, Qingyong Li, Jing Zhang, Danyu Wang, Wen Wang, Yangli-ao Geng

DisCOIL follows the basic principle of POC, but it adopts variational auto-encoders (VAE) instead of other well-established one-class classifiers (e. g. deep SVDD), because a trained VAE can not only identify the probability of an input sample belonging to a class but also generate pseudo samples of the class to assist in learning new tasks.

Class Incremental Learning Incremental Learning +1

Supervised Homogeneity Fusion: a Combinatorial Approach

no code implementations4 Jan 2022 Wen Wang, Shihao Wu, Ziwei Zhu, Ling Zhou, Peter X. -K. Song

Fusing regression coefficients into homogenous groups can unveil those coefficients that share a common value within each group.

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

1 code implementation Findings (ACL) 2022 Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao

In this work, we propose a novel unsupervised embedding-based KPE approach, Masked Document Embedding Rank (MDERank), to address this problem by leveraging a mask strategy and ranking candidates by the similarity between embeddings of the source document and the masked document.

Contrastive Learning Document Embedding +4

FP-DETR: Detection Transformer Advanced by Fully Pre-training

no code implementations ICLR 2022 Wen Wang, Yang Cao, Jing Zhang, DaCheng Tao

To this end, we propose the task adapter which leverages self-attention to model the contextual relation between object query embedding.

object-detection Object Detection +1

Parsing Table Structures in the Wild

2 code implementations ICCV 2021 Rujiao Long, Wen Wang, Nan Xue, Feiyu Gao, Zhibo Yang, Yongpan Wang, Gui-Song Xia

In contrast to existing studies that mainly focus on parsing well-aligned tabular images with simple layouts from scanned PDF documents, we aim to establish a practical table structure parsing system for real-world scenarios where tabular input images are taken or scanned with severe deformation, bending or occlusions.

Object Detection

Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation

1 code implementation20 Jul 2021 Qinglin Zhang, Qian Chen, YaLi Li, Jiaqing Liu, Wen Wang

Evaluations are conducted on the English Wiki-727K document segmentation benchmark, a Chinese Wikipedia-based document segmentation dataset we created, and an in-house Chinese spoken document dataset.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition

no code implementations7 Jul 2021 Chengzhi Jiang, Yanzhou Su, Wen Wang, Haiwei Bai, Haijun Liu, Jian Cheng

This method, named IntraLoss, explicitly performs gradient enhancement in the anisotropic region so that the intra-class distribution continues to shrink, resulting in isotropic and more compact intra-class distribution and further margin between identities.

Face Recognition

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

1 code implementation ICCV 2021 Wenyuan Xue, Baosheng Yu, Wen Wang, DaCheng Tao, Qingyong Li

A table arranging data in rows and columns is a very effective data structure, which has been widely used in business and scientific research.

Cell Detection Graph Reconstruction +1

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition

1 code implementation ACL 2021 Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu

Although these methods have the innate ability to handle nested NER, they suffer from high computational cost, ignorance of boundary information, under-utilization of the spans that partially match with entities, and difficulties in long entity recognition.

Chinese Named Entity Recognition named-entity-recognition +3

Reranking Machine Translation Hypotheses with Structured and Web-based Language Models

no code implementations25 Apr 2021 Wen Wang, Andreas Stolcke, Jing Zheng

In this paper, we investigate the use of linguistically motivated and computationally efficient structured language models for reranking N-best hypotheses in a statistical machine translation system.

Language Modelling Machine Translation +2

Discriminative Self-training for Punctuation Prediction

no code implementations21 Apr 2021 Qian Chen, Wen Wang, Mengzhe Chen, Qinglin Zhang

Punctuation prediction for automatic speech recognition (ASR) output transcripts plays a crucial role for improving the readability of the ASR transcripts and for improving the performance of downstream natural language processing applications.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning

no code implementations21 Apr 2021 Qian Chen, Wen Wang, Qinglin Zhang

In this paper, we propose a novel joint textual-phonetic pre-training approach for learning spoken language representations, aiming at exploring the full potentials of phonetic information to improve SLU robustness to ASR errors.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

Graph-Based Tri-Attention Network for Answer Ranking in CQA

no code implementations5 Mar 2021 Wei zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang

However, they encounter two main limitations: (1) Correlations between answers in the same question are often overlooked.

Question Answering

What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education

no code implementations3 Dec 2020 Wen Wang, Honglei Zhuang, Mi Zhou, Hanyu Liu, Beibei Li

Based on these insights, we then propose a hierarchical course BERT model to predict teachers' performance in online education.

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection

1 code implementation11 Mar 2020 Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu

Outlier detection (OD) is a key machine learning (ML) task for identifying abnormal objects from general samples with numerous high-stake applications including fraud detection and intrusion detection.

Dimensionality Reduction Fraud Detection +2

Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection

no code implementations3 Mar 2020 Qian Chen, Mengzhe Chen, Bo Li, Wen Wang

With the increased applications of automatic speech recognition (ASR) in recent years, it is essential to automatically insert punctuation marks and remove disfluencies in transcripts, to improve the readability of the transcripts as well as the performance of subsequent applications, such as machine translation, dialogue systems, and so forth.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Sequential Neural Networks for Noetic End-to-End Response Selection

1 code implementation3 Mar 2020 Qian Chen, Wen Wang

The noetic end-to-end response selection challenge as one track in the 7th Dialog System Technology Challenges (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context.

Goal-Oriented Dialog

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

1 code implementation19 Feb 2020 Wen Wang, Wei zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha

Specifically, we build a Multi-Relational Item Graph (MRIG) based on all behavior sequences from all sessions, involving target and auxiliary behavior types.

Representation Learning

A Comprehensive Study on Temporal Modeling for Online Action Detection

1 code implementation21 Jan 2020 Wen Wang, Xiaojiang Peng, Yu Qiao, Jian Cheng

Online action detection (OAD) is a practical yet challenging task, which has attracted increasing attention in recent years.

Online Action Detection

A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification

no code implementations28 Nov 2019 Wen Wang, Lijun Du, Yinxing Gao, Yanzhou Su, Feng Wang, Jian Cheng

Concretely, for remote sensing image scene classification, we would like to map images from the same scene to feature vectors that are close, and map images from different scenes to feature vectors that are widely separated.

Classification General Classification +2

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models

no code implementations19 Aug 2019 Zhi-Xiu Ye, Qian Chen, Wen Wang, Zhen-Hua Ling

We also observe that fine-tuned models after the proposed pre-training approach maintain comparable performance on other NLP tasks, such as sentence classification and natural language inference tasks, compared to the original BERT models.

Common Sense Reasoning Natural Language Inference +2

Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision

no code implementations10 Jun 2019 Hao Lang, Wen Wang

The RBSMA algorithm improves the test set accuracy by 7. 8% relative compared to the standard beam search.

Spoken Language Understanding Test

The General Pair-based Weighting Loss for Deep Metric Learning

no code implementations30 May 2019 Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su

A large amount of loss functions based on pair distances have been presented in the literature for guiding the training of deep metric learning.

Image Retrieval Metric Learning +1

Attention: A Big Surprise for Cross-Domain Person Re-Identification

no code implementations30 May 2019 Haijun Liu, Jian Cheng, Shiguang Wang, Wen Wang

Unlike existing cross-domain Re-ID methods, leveraging the auxiliary information of those unlabeled target-domain data, we aim at enhancing the model generalization and adaptation by discriminative feature learning, and directly exploiting a pre-trained model to new domains (datasets) without any utilization of the information from target domains.

Person Re-Identification

BERT for Joint Intent Classification and Slot Filling

14 code implementations28 Feb 2019 Qian Chen, Zhu Zhuo, Wen Wang

Intent classification and slot filling are two essential tasks for natural language understanding.

General Classification intent-classification +4

Sequential Attention-based Network for Noetic End-to-End Response Selection

4 code implementations9 Jan 2019 Qian Chen, Wen Wang

The noetic end-to-end response selection challenge as one track in Dialog System Technology Challenges 7 (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context.

Conversational Response Selection Goal-Oriented Dialog

Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy

no code implementations29 Nov 2018 Wen Wang, Rema Padman, Nirav Shah

Stratifying patients at risk for postoperative complications may facilitate timely and accurate workups and reduce the burden of adverse events on patients and the health system.

Temporal Action Detection by Joint Identification-Verification

no code implementations19 Oct 2018 Wen Wang, Yongjian Wu, Haijun Liu, Shiguang Wang, Jian Cheng

Temporal action detection aims at not only recognizing action category but also detecting start time and end time for each action instance in an untrimmed video.

Action Detection

Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition

no code implementations16 Feb 2018 Vikramjit Mitra, Wen Wang, Chris Bartels, Horacio Franco, Dimitra Vergyri

This paper explores the use of multi-view features and their discriminative transforms in a convolutional deep neural network (CNN) architecture for a continuous large vocabulary speech recognition task.

speech-recognition Speech Recognition +1

Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets

no code implementations CVPR 2017 Wen Wang, Ruiping Wang, Shiguang Shan, Xilin Chen

For face recognition with image sets, while most existing works mainly focus on building robust set models with hand-crafted feature, it remains a research gap to learn better image representations which can closely match the subsequent image set modeling and classification.

Face Recognition General Classification +2

Exploiting Out-of-Domain Data Sources for Dialectal Arabic Statistical Machine Translation

no code implementations7 Sep 2015 Katrin Kirchhoff, Bing Zhao, Wen Wang

Statistical machine translation for dialectal Arabic is characterized by a lack of data since data acquisition involves the transcription and translation of spoken language.

Machine Translation Translation

Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets

no code implementations CVPR 2015 Wen Wang, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen

This paper presents a method named Discriminant Analysis on Riemannian manifold of Gaussian distributions (DARG) to solve the problem of face recognition with image sets.

Face Identification Face Recognition +1

Deeply Coupled Auto-encoder Networks for Cross-view Classification

no code implementations10 Feb 2014 Wen Wang, Zhen Cui, Hong Chang, Shiguang Shan, Xilin Chen

In this paper, we propose a simple but effective coupled neural network, called Deeply Coupled Autoencoder Networks (DCAN), which seeks to build two deep neural networks, coupled with each other in every corresponding layers.

Classification Denoising +2

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