Search Results for author: Chen Zhao

Found 85 papers, 29 papers with code

Bridging the Generalization Gap in Text-to-SQL Parsing with Schema Expansion

no code implementations ACL 2022 Chen Zhao, Yu Su, Adam Pauls, Emmanouil Antonios Platanios

Text-to-SQL parsers map natural language questions to programs that are executable over tables to generate answers, and are typically evaluated on large-scale datasets like Spider (Yu et al., 2018).

Domain Generalization SQL Parsing +1

Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction

no code implementations ECCV 2020 Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li

Depth completion is a widely studied problem of predicting a dense depth map from a sparse set of measurements and a single RGB image.

Depth Completion graph construction

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation

1 code implementation EMNLP 2021 Chen Zhao, Chenyan Xiong, Jordan Boyd-Graber, Hal Daumé III

This paper investigates whether models can learn to find evidence from a large corpus, with only distant supervision from answer labels for model training, thereby generating no additional annotation cost.

Open-Domain Question Answering Retrieval

Just a Glimpse: Rethinking Temporal Information for Video Continual Learning

no code implementations28 May 2023 Lama Alssum, Juan Leon Alcazar, Merey Ramazanova, Chen Zhao, Bernard Ghanem

Studying continual learning in the video domain poses even more challenges, as video data contains a large number of frames, which places a higher burden on the replay memory.

class-incremental learning Class Incremental Learning +1

Mixture of Prompt Experts for Generalizable and Interpretable Question Answering

1 code implementation24 May 2023 Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan Boyd-Graber

By strategically selecting the best specialized model for each given question, our MOPE system significantly outperforms any single specialized model on a collection of 12 QA datasets from four reasoning types.

Answer Selection

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs

no code implementations23 May 2023 Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho

Large language models (LLMs) have achieved widespread success on a variety of in-context few-shot tasks, but this success is typically evaluated via correctness rather than consistency.

Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network

no code implementations21 May 2023 Chen Zhao, Zhihui Xu, Guang-Uei Hung, Weihua Zhou

The presence of atherosclerotic lesions in coronary arteries is the underlying pathophysiological basis of CAD, and accurate extraction of individual arterial branches using invasive coronary angiography (ICA) is crucial for stenosis detection and CAD diagnosis.

Graph Matching Semantic Segmentation

Multi-crop Contrastive Learning for Unsupervised Image-to-Image Translation

no code implementations24 Apr 2023 Chen Zhao, Wei-Ling Cai, Zheng Yuan, Cheng-Wei Hu

Recently, image-to-image translation methods based on contrastive learning achieved state-of-the-art results in many tasks.

Contrastive Learning Translation +1

Large-capacity and Flexible Video Steganography via Invertible Neural Network

1 code implementation CVPR 2023 Chong Mou, Youmin Xu, Jiechong Song, Chen Zhao, Bernard Ghanem, Jian Zhang

For large-capacity, we present a reversible pipeline to perform multiple videos hiding and recovering through a single invertible neural network (INN).

Spectral Normalized Dual Contrastive Regularization for Image-to-Image Translation

no code implementations22 Apr 2023 Chen Zhao, Wei-Ling Cai, Zheng Yuan

In order to improve the global structure information of the generated images, we formulate a semantically contrastive loss to make the global semantic structure of the generated images similar to the real images from the target domain in the semantic feature space.

Contrastive Learning Image-to-Image Translation +1

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

1 code implementation17 Mar 2023 Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang

In this work, we propose a training-Free conditional Diffusion Model (FreeDoM) used for various conditions.

Face Detection

A Unified Continual Learning Framework with General Parameter-Efficient Tuning

1 code implementation17 Mar 2023 Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang

The "pre-training $\rightarrow$ downstream adaptation" presents both new opportunities and challenges for Continual Learning (CL).

Continual Learning

Open Set Action Recognition via Multi-Label Evidential Learning

no code implementations CVPR 2023 Chen Zhao, Dawei Du, Anthony Hoogs, Christopher Funk

Existing methods for open-set action recognition focus on novelty detection that assumes video clips show a single action, which is unrealistic in the real world.

Action Detection Open Set Action Recognition

An Automated Vulnerability Detection Framework for Smart Contracts

no code implementations20 Jan 2023 Feng Mi, Chen Zhao, Zhuoyi Wang, Sadaf MD Halim, Xiaodi Li, Zhouxiang Wu, Latifur Khan, Bhavani Thuraisingham

With the increase of the adoption of blockchain technology in providing decentralized solutions to various problems, smart contracts have become more popular to the point that billions of US Dollars are currently exchanged every day through such technology.

Metric Learning Vulnerability Detection

AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms

no code implementations11 Jan 2023 Chen Zhao, Zhihui Xu, Jingfeng Jiang, Michele Esposito, Drew Pienta, Guang-Uei Hung, Weihua Zhou

Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary artery disease (CAD).

Graph Matching

xFBD: Focused Building Damage Dataset and Analysis

no code implementations23 Dec 2022 Dennis Melamed, Cameron Johnson, Chen Zhao, Russell Blue, Philip Morrone, Anthony Hoogs, Brian Clipp

This new challenge involves a new dataset and metrics indicating solution performance when damage is more local and limited than in xBD.

Localizing Objects in 3D from Egocentric Videos with Visual Queries

no code implementations14 Dec 2022 Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem

With the recent advances in video and 3D understanding, novel 4D spatio-temporal challenges fusing both concepts have emerged.

3D Reconstruction Retrieval

LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation

no code implementations29 Nov 2022 Chen Zhao, Yinlin Hu, Mathieu Salzmann

Object location priors have been shown to be critical for the standard 6D object pose estimation setting, where the training and testing objects are the same.

6D Pose Estimation 6D Pose Estimation using RGB +3

Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization

1 code implementation25 Nov 2022 Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem

Temporal action localization (TAL) requires long-form reasoning to predict actions of various durations and complex content.

Temporal Action Localization

SoccerNet 2022 Challenges Results

7 code implementations5 Oct 2022 Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc Cuong Pham, Ralph Ewerth, Ran Song, RenGang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, YaQian Zhao, Yi Yu, YingYing Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.

Action Spotting Camera Calibration +3

A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure

no code implementations3 Oct 2022 Xuewei Cao, Joyce H Keyak, Sigurdur Sigurdsson, Chen Zhao, Weihua Zhou, Anqi Liu, Thomas Lang, Hong-Wen Deng, Vilmundur Gudnason, Qiuying Sha

The results showed that the average of the area under the receive operating characteristic curve (AUC) using PC1 was always higher than that using all FE parameters combined in the male subjects.

DCE: Offline Reinforcement Learning With Double Conservative Estimates

no code implementations27 Sep 2022 Chen Zhao, Kai Xing Huang, Chun Yuan

Previous conservative estimation methods are usually difficult to avoid the impact of OOD actions on Q-value estimates.

D4RL reinforcement-learning +1

On the Relation between Sensitivity and Accuracy in In-context Learning

no code implementations16 Sep 2022 Yanda Chen, Chen Zhao, Zhou Yu, Kathleen McKeown, He He

In-context learning (ICL) suffers from oversensitivity to the prompt, making it unreliable in real-world scenarios.

Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images

no code implementations7 Aug 2022 Fubao Zhu, Guojie Wang, Chen Zhao, Saurabh Malhotra, Min Zhao, Zhuo He, Jianzhou Shi, Zhixin Jiang, Weihua Zhou

Five-fold cross-validation with 180 stress and 201 rest MPIs was used for training and internal validation; the remaining images were used for testing.

Model Optimization Translation

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms

no code implementations24 Jun 2022 Yinghui Meng, Zhenglong Du, Chen Zhao, Minghao Dong, Drew Pienta, Zhihui Xu, Weihua Zhou

A deep learning model U-Net 3+, which incorporates the full-scale skip connections and deep supervisions, was proposed for automatic extraction of coronary arteries from ICAs.

Decision Making Transfer Learning

Re-Examining Calibration: The Case of Question Answering

1 code implementation25 May 2022 Chenglei Si, Chen Zhao, Sewon Min, Jordan Boyd-Graber

Building on those observations, we propose a new calibration metric, MacroCE, that better captures whether the model assigns low confidence to wrong predictions and high confidence to correct predictions.

Open-Domain Question Answering

Adaptive Fairness-Aware Online Meta-Learning for Changing Environments

no code implementations20 May 2022 Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen

Furthermore, to determine a good model parameter at each round, we propose a novel adaptive fairness-aware online meta-learning algorithm, namely FairSAOML, which is able to adapt to changing environments in both bias control and model precision.

Fairness Meta-Learning

ETAD: Training Action Detection End to End on a Laptop

1 code implementation14 May 2022 Shuming Liu, Mengmeng Xu, Chen Zhao, Xu Zhao, Bernard Ghanem

We propose to sequentially forward the snippet frame through the video encoder, and backward only a small necessary portion of gradients to update the encoder.

Action Detection Video Understanding

End-to-End Active Speaker Detection

1 code implementation27 Mar 2022 Juan Leon Alcazar, Moritz Cordes, Chen Zhao, Bernard Ghanem

Recent advances in the Active Speaker Detection (ASD) problem build upon a two-stage process: feature extraction and spatio-temporal context aggregation.

Audio-Visual Active Speaker Detection

R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

1 code implementation24 Mar 2022 Qiankun Gao, Chen Zhao, Bernard Ghanem, Jian Zhang

After RRL, the classification head is refined with global class-balanced classification loss to address the data imbalance issue as well as learn the decision boundaries between new and previous classes.

class-incremental learning Class Incremental Learning +3

Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction

no code implementations19 Mar 2022 Haocheng Yuan, Chen Zhao, Shichao Fan, Jiaxi Jiang, Jiaqi Yang

To the best of our knowledge, the proposed method is the first to mine 3D semantic consistent keypoints from a mutual reconstruction view.

Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects

no code implementations16 Mar 2022 Chen Zhao, Yinlin Hu, Mathieu Salzmann

In this paper, we tackle the task of estimating the 3D orientation of previously-unseen objects from monocular images.


SegTAD: Precise Temporal Action Detection via Semantic Segmentation

no code implementations3 Mar 2022 Chen Zhao, Merey Ramazanova, Mengmeng Xu, Bernard Ghanem

To address these issues and precisely model temporal action detection, we formulate the task of temporal action detection in a novel perspective of semantic segmentation.

Action Detection object-detection +2

Layer Adaptive Deep Neural Networks for Out-of-distribution Detection

1 code implementation1 Mar 2022 Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen

During the forward pass of Deep Neural Networks (DNNs), inputs gradually transformed from low-level features to high-level conceptual labels.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

Ego4D: Around the World in 3,000 Hours of Egocentric Video

3 code implementations CVPR 2022 Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei HUANG, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.

De-identification Ethics

Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images

1 code implementation11 Oct 2021 Chen Zhao, Shi Shi, Zhuo He, Cheng Wang, Zhongqiang Zhao, Xinli Li, Yanli Zhou, Weihua Zhou

By integrating the spatial features from each cardiac frame of the gated MPS and the temporal features from the sequential cardiac frames of the gated MPS, we developed a Spatial-Temporal V-Net (ST-VNet) for automatic extraction of RV endocardial and epicardial contours.

Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos

no code implementations6 Oct 2021 Yinghui Meng, Minghao Dong, Xumin Dai, Haipeng Tang, Chen Zhao, Jingfeng Jiang, Shun Xu, Ying Zhou, Fubao Zhu1, Zhihui Xu, Weihua Zhou

More specifically, a detection algorithm is first used to detect the key points of coronary arteries, and then an optical flow method is employed to track the trajectories of the selected key points.

Anatomy Optical Flow Estimation

What's in a Name? Answer Equivalence For Open-Domain Question Answering

1 code implementation11 Sep 2021 Chenglei Si, Chen Zhao, Jordan Boyd-Graber

We incorporate answers for two settings: evaluation with additional answers and model training with equivalent answers.

Natural Questions Open-Domain Question Answering +1

Fairness-Aware Online Meta-learning

no code implementations21 Aug 2021 Chen Zhao, Feng Chen, Bhavani Thuraisingham

To overcome such issues and bridge the gap, in this paper for the first time we proposed a novel online meta-learning algorithm, namely FFML, which is under the setting of unfairness prevention.

Classification Fairness +1

FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework

no code implementations25 Apr 2021 Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen

With the proliferation of edge smart devices and the Internet of Vehicles (IoV) technologies, intelligent fatigue detection has become one of the most-used methods in our daily driving.

Federated Learning Model Optimization

Complex Factoid Question Answering with a Free-Text Knowledge Graph

no code implementations23 Mar 2021 Chen Zhao, Chenyan Xiong, Xin Qian, Jordan Boyd-Graber

DELFT's advantage comes from both the high coverage of its free-text knowledge graph-more than double that of dbpedia relations-and the novel graph neural network which reasons on the rich but noisy free-text evidence.

Graph Question Answering Question Answering +1

A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images

no code implementations21 Feb 2021 Fubao Zhu, Zhengyuan Gao, Chen Zhao, Hanlei Zhu, Yong Dong, Jingfeng Jiang, Neng Dai, Weihua Zhou

In this paper, we aim to develop a deep learning-based method using an encoder-decoder deep architecture to automatically extract both lumen and MA border.

A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images

no code implementations3 Feb 2021 Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou

In this study, we proposed an approach based on deep learning for the automatic extraction of the periosteal and endosteal contours of proximal femur in order to differentiate cortical and trabecular bone compartments.

Interactive Segmentation

Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus

no code implementations3 Feb 2021 Chen Zhao, Xiao-Shan Gao

In this paper, we propose a general scheme to analyze the gradient vanishing phenomenon, also known as the barren plateau phenomenon, in training quantum neural networks with the ZX-calculus.

A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms

no code implementations25 Jan 2021 Chen Zhao, Haipeng Tang, Daniel McGonigle, Zhuo He, Chaoyang Zhang, Yu-Ping Wang, Hong-Wen Deng, Robert Bober, Weihua Zhou

We aim to develop an automatic algorithm by deep learning to extract coronary arteries from ICAs. In this study, a multi-input and multi-scale (MIMS) U-Net with a two-stage recurrent training strategy was proposed for the automatic vessel segmentation.


Progressive Correspondence Pruning by Consensus Learning

no code implementations ICCV 2021 Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann

Correspondence selection aims to correctly select the consistent matches (inliers) from an initial set of putative correspondences.

Denoising Pose Estimation +1

Wetting equilibrium in a rectangular channel

no code implementations3 Dec 2020 Tian Yu, Qicheng Sun, Chen Zhao, Jiajia Zhou, Masao Doi

When a capillary channel with corners is wetted by a fluid, there are regions where the fluid fills the whole cross-section and regions where only the corners are filled by the fluid.

Soft Condensed Matter

A Nested Bi-level Optimization Framework for Robust Few Shot Learning

no code implementations13 Nov 2020 KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Rishabh Iyer, Feng Chen

Model-Agnostic Meta-Learning (MAML), a popular gradient-based meta-learning framework, assumes that the contribution of each task or instance to the meta-learner is equal.

Few-Shot Learning

A Primal-Dual Subgradient Approachfor Fair Meta Learning

1 code implementation26 Sep 2020 Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan

In this work, we propose a Primal-Dual Fair Meta-learning framework, namely PDFM, which learns to train fair machine learning models using only a few examples based on data from related tasks.

Fairness Few-Shot Learning

Unfairness Discovery and Prevention For Few-Shot Regression

no code implementations23 Sep 2020 Chen Zhao, Feng Chen

In this work, we first discover discrimination from data using a causal Bayesian knowledge graph which not only demonstrates the dependency of the protected variable on target but also indicates causal effects between all variables.

Fairness Meta-Learning +1

Fair Meta-Learning For Few-Shot Classification

no code implementations23 Sep 2020 Chen Zhao, Changbin Li, Jincheng Li, Feng Chen

Artificial intelligence nowadays plays an increasingly prominent role in our life since decisions that were once made by humans are now delegated to automated systems.

BIG-bench Machine Learning Classification +3

Rank-Based Multi-task Learning for Fair Regression

no code implementations23 Sep 2020 Chen Zhao, Feng Chen

In this work, we develop a novel fairness learning approach for multi-task regression models based on a biased training dataset, using a popular rank-based non-parametric independence test, i. e., Mann Whitney U statistic, for measuring the dependency between target variable and protected variables.

Fairness Multi-Task Learning +1

A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network

no code implementations20 Jun 2020 Xuan Hua, Jungang Han, Chen Zhao, Haipeng Tang, Zhuo He, Jinshan Tang, Qing-Hui Chen, Shaojie Tang, Weihua Zhou

This paper presents an end-to-end ECG signal classification method based on a novel segmentation strategy via 1D Convolutional Neural Networks (CNN) to aid the classification of ECG signals.

Classification General Classification

A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images

no code implementations9 Jun 2020 Chen Zhao, Joyce H. Keyak, Jinshan Tang, Tadashi S. Kaneko, Sundeep Khosla, Shreyasee Amin, Elizabeth J. Atkinson, Lan-Juan Zhao, Michael J. Serou, Chaoyang Zhang, Hui Shen, Hong-Wen Deng, Weihua Zhou

During the experiments for the entire cohort then for male and female subjects separately, 90% of the subjects were used in 10-fold cross-validation for training and internal validation, and to select the optimal parameters of the proposed models; the rest of the subjects were used to evaluate the performance of models.

Image Segmentation Semantic Segmentation +1

QDNN: DNN with Quantum Neural Network Layers

1 code implementation29 Dec 2019 Chen Zhao, Xiao-Shan Gao

In this paper, we introduce a quantum extension of classical DNN, QDNN.

Image Classification

Learning Semantic Neural Tree for Human Parsing

no code implementations ECCV 2020 Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu

In this paper, we design a novel semantic neural tree for human parsing, which uses a tree architecture to encode physiological structure of human body, and designs a coarse to fine process in a cascade manner to generate accurate results.

Human Parsing Semantic Segmentation

G-TAD: Sub-Graph Localization for Temporal Action Detection

5 code implementations CVPR 2020 Mengmeng Xu, Chen Zhao, David S. Rojas, Ali Thabet, Bernard Ghanem

In this work, we propose a graph convolutional network (GCN) model to adaptively incorporate multi-level semantic context into video features and cast temporal action detection as a sub-graph localization problem.

Temporal Action Localization

Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

1 code implementation1 Nov 2019 Chen Zhao, Jiaqi Yang, Xin Xiong, Angfan Zhu, Zhiguo Cao, Xin Li

To the best of our knowledge, this work is the first principled approach toward adaptively combining global and local information under the context of RI point cloud analysis.

General Classification Point Cloud Classification

Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

2 code implementations CVPR 2020 Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang

Specifically, we incorporate convolutional operations along edges of the tree structure, and use the routing functions in each node to determine the root-to-leaf computational paths within the tree.

Fine-Grained Image Classification Fine-Grained Visual Categorization

Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence

no code implementations3 Sep 2019 Chen Zhao, Jiaqi Yang, Ke Xian, Zhiguo Cao, Xin Li

Matching corresponding features between two images is a fundamental task to computer vision with numerous applications in object recognition, robotics, and 3D reconstruction.

3D Reconstruction Object Recognition

Comparative evaluation of 2D feature correspondence selection algorithms

1 code implementation30 Apr 2019 Chen Zhao, Jiaqi Yang, Yang Xiao, Zhiguo Cao

Correspondence selection aiming at seeking correct feature correspondences from raw feature matches is pivotal for a number of feature-matching-based tasks.

Learning to Fuse Local Geometric Features for 3D Rigid Data Matching

no code implementations27 Apr 2019 Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao

This paper presents a simple yet very effective data-driven approach to fuse both low-level and high-level local geometric features for 3D rigid data matching.

ThumbNet: One Thumbnail Image Contains All You Need for Recognition

no code implementations10 Apr 2019 Chen Zhao, Bernard Ghanem

Although deep convolutional neural networks (CNNs) have achieved great success in computer vision tasks, its real-world application is still impeded by its voracious demand of computational resources.

NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

1 code implementation CVPR 2019 Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang

Feature correspondence selection is pivotal to many feature-matching based tasks in computer vision.

A dataset and baselines for sequential open-domain question answering

no code implementations EMNLP 2018 Ahmed Elgohary, Chen Zhao, Jordan Boyd-Graber

Previous work on question-answering systems mainly focuses on answering individual questions, assuming they are independent and devoid of context.

Information Retrieval Open-Domain Question Answering +1

LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning

1 code implementation9 May 2016 Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermuller, Yiannis Aloimonos

LightNet is a lightweight, versatile and purely Matlab-based deep learning framework.

Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization

no code implementations30 Apr 2014 Jian Zhang, Chen Zhao, Debin Zhao, Wen Gao

From many fewer acquired measurements than suggested by the Nyquist sampling theory, compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high probability when it exhibits sparsity in some domain.

Compressive Sensing

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