Search Results for author: Tong Wu

Found 30 papers, 8 papers with code

Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion

1 code implementation NeurIPS 2021 Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin

We adopt DCD to evaluate the point cloud completion task, where experimental results show that DCD pays attention to both the overall structure and local geometric details and provides a more reliable evaluation even when CD and EMD contradict each other.

Point Cloud Completion

Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion

1 code implementation24 Nov 2021 Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin

We adopt DCD to evaluate the point cloud completion task, where experimental results show that DCD pays attention to both the overall structure and local geometric details and provides a more reliable evaluation even when CD and EMD contradict each other.

Point Cloud Completion

Few-Shot Object Detection via Association and DIscrimination

no code implementations NeurIPS 2021 Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin

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

Few-Shot Object Detection Fine-tuning +2

Modeling spatial waves of Wolbachia invasion for controlling mosquito-borne diseases

no code implementations24 Aug 2021 Zhuolin Qu, Tong Wu, James Mac Hyman

Field trials and modeling studies have shown that the fraction of infection among the mosquitoes must exceed a threshold level for the infection to persist.

Generalizing Nucleus Recognition Model in Multi-source Images via Pruning

no code implementations6 Jul 2021 Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang

In addition, the model is optimized by fine-tuning on merged domains to eliminate the interference of class mismatching among various domains.

Domain Generalization Fine-tuning

Adversarial Robustness under Long-Tailed Distribution

1 code implementation CVPR 2021 Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin

We then perform a systematic study on existing long-tailed recognition methods in conjunction with the adversarial training framework.

Adversarial Robustness

Towards Evaluating and Training Verifiably Robust Neural Networks

1 code implementation CVPR 2021 Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

Recent works have shown that interval bound propagation (IBP) can be used to train verifiably robust neural networks.

RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning

no code implementations31 Mar 2021 Tong Wu, Jorge Ortiz

We introduce a new semi-supervised, time series anomaly detection algorithm that uses deep reinforcement learning (DRL) and active learning to efficiently learn and adapt to anomalies in real-world time series data.

Active Learning Anomaly Detection +1

Hot electron generation through near-field excitation of plasmonic nanoresonators

no code implementations11 Mar 2021 Felix Binkowski, Tong Wu, Philippe Lalanne, Sven Burger, Alexander O. Govorov

We theoretically study hot electron generation through the emission of a dipole source coupled to a nanoresonator on a metal surface.

Optics Mesoscale and Nanoscale Physics

Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition

1 code implementation13 Oct 2020 Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu

To this end, in this work, we present a novel end-to-end 3D lip motion Network (3LMNet) by utilizing the sentence-level 3D lip motion (S3DLM) to recognize speakers in both the text-independent and text-dependent contexts.

Speaker Recognition Text-Independent Speaker Recognition

TM-NET: Deep Generative Networks for Textured Meshes

no code implementations13 Oct 2020 Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao Zhang

We introduce a conditional autoregressive model for texture generation, which can be conditioned on both part geometry and textures already generated for other parts to achieve texture compatibility.

Graphics

Physical Adversarial Attack on Vehicle Detector in the Carla Simulator

no code implementations31 Jul 2020 Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang

In this paper, we tackle the issue of physical adversarial examples for object detectors in the wild.

Adversarial Attack

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

1 code implementation ECCV 2020 Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

We present a new loss function called Distribution-Balanced Loss for the multi-label recognition problems that exhibit long-tailed class distributions.

Classification General Classification +1

Adversarial Robustness of Deep Sensor Fusion Models

no code implementations23 Jun 2020 Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik

First, we find that the fusion model is usually both more accurate, and more robust against single-source attacks than single-sensor deep neural networks.

2D Object Detection Adversarial Robustness +4

Meta Segmentation Network for Ultra-Resolution Medical Images

no code implementations19 Feb 2020 Tong Wu, Yuan Xie, Yanyun Qu, Bicheng Dai, Shuxin Chen

MSN can fast generate the weights of fusion layers through a simple meta-learner, requiring only a few training samples and epochs to converge.

Meta-Learning Semantic Segmentation

Representation Learning of EHR Data via Graph-Based Medical Entity Embedding

no code implementations7 Oct 2019 Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang

Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare informatics that turns heterogeneous medical records into structured and actionable information.

Graph Embedding

Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning

no code implementations26 Sep 2019 Yue Wang, Tong Wu, Yunlong Wang, Gao Wang

Models have been proposed to extract temporal patterns from longitudinal electronic health records (EHR) for clinical predictive models.

Defending Against Physically Realizable Attacks on Image Classification

2 code implementations ICLR 2020 Tong Wu, Liang Tong, Yevgeniy Vorobeychik

Finally, we demonstrate that adversarial training using our new attack yields image classification models that exhibit high robustness against the physically realizable attacks we study, offering the first effective generic defense against such attacks.

Classification General Classification +1

AIBench: An Industry Standard Internet Service AI Benchmark Suite

no code implementations13 Aug 2019 Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye

On the basis of the AIBench framework, abstracting the real-world data sets and workloads from one of the top e-commerce providers, we design and implement the first end-to-end Internet service AI benchmark, which contains the primary modules in the critical paths of an industry scale application and is scalable to deploy on different cluster scales.

Learning-To-Rank

SDM-NET: Deep Generative Network for Structured Deformable Mesh

no code implementations13 Aug 2019 Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang

At the structural level, we train a Structured Parts VAE (SP-VAE), which jointly learns the part structure of a shape collection and the part geometries, ensuring a coherence between global shape structure and surface details.

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model

no code implementations1 Jul 2019 Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare.

Time Series

Human Action Attribute Learning From Video Data Using Low-Rank Representations

no code implementations23 Dec 2016 Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

Representation of human actions as a sequence of human body movements or action attributes enables the development of models for human activity recognition and summarization.

Action Recognition

Learning the nonlinear geometry of high-dimensional data: Models and algorithms

no code implementations21 Dec 2014 Tong Wu, Waheed U. Bajwa

This paper revisits the problem of data-driven learning of these geometric structures and puts forth two new nonlinear geometric models for data describing "related" objects/phenomena.

Painting Analysis Using Wavelets and Probabilistic Topic Models

no code implementations26 Jan 2014 Tong Wu, Gungor Polatkan, David Steel, William Brown, Ingrid Daubechies, Robert Calderbank

In this paper, computer-based techniques for stylistic analysis of paintings are applied to the five panels of the 14th century Peruzzi Altarpiece by Giotto di Bondone.

Topic Models

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