Search Results for author: Ning Zhang

Found 89 papers, 17 papers with code

Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model

no code implementations ECCV 2020 Ning Zhang, Junchi Yan

In this work, we propose novel perspectives on the DBD problem and design convenient approach to build a real-time cost-effective DBD model.

Data Augmentation

Learning and Verification of Task Structure in Instructional Videos

no code implementations23 Mar 2023 Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell

We introduce a new pre-trained video model, VideoTaskformer, focused on representing the semantics and structure of instructional videos.

Activity Recognition

Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace

no code implementations21 Feb 2023 Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash

In this paper we presents Que2Engage, a search EBR system built towards bridging the gap between retrieval and ranking for end-to-end optimizations.


HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation

no code implementations18 Jan 2023 Xiaoye Qian, YouBao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin

To mitigate this issue, we propose Hierarchical Spatial-Temporal transFormers (HSTFormer) to capture multi-level joints' spatial-temporal correlations from local to global gradually for accurate 3D HPE.

3D Human Pose Estimation

Artificial intelligence for diagnosing and predicting survival of patients with renal cell carcinoma: Retrospective multi-center study

no code implementations12 Jan 2023 Siteng Chen, Xiyue Wang, Jun Zhang, Liren Jiang, Ning Zhang, Feng Gao, Wei Yang, Jinxi Xiang, Sen yang, Junhua Zheng, Xiao Han

The OSrisk for the prediction of 5-year survival status achieved AUC of 0. 784 (0. 746-0. 819) in the TCGA cohort, which was further verified in the independent General cohort and the CPTAC cohort, with AUC of 0. 774 (0. 723-0. 820) and 0. 702 (0. 632-0. 765), respectively.

whole slide images

Performance Analysis and Enhancement of Beamforming Training in 802.11ad

no code implementations2 Jan 2023 Wen Wu, Nan Cheng, Ning Zhang, Peng Yang, Khalid Aldubaikhy, Xuemin, Shen

Since the derived BF training efficiency is an implicit function, to reveal the relationship between system parameters and BF training performance, we also derive an approximate expression of BF training efficiency.

Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching

no code implementations2 Jan 2023 Wen Wu, Ning Zhang, Nan Cheng, Yujie Tang, Khalid Aldubaikhy, Xuemin, Shen

In this paper, we propose a device-to-device (D2D) assisted cooperative edge caching (DCEC) policy for millimeter (mmWave) dense networks, which cooperatively utilizes the cache resource of users and SBSs in proximity.


Revisiting the Stack-Based Inverse Tone Mapping

no code implementations CVPR 2023 Ning Zhang, Yuyao Ye, Yang Zhao, Ronggang Wang

In this paper, we revisit the stack-based ITM approaches and propose a novel method to reconstruct HDR radiance from a single image, which only needs to estimate two exposure images.

inverse tone mapping Inverse-Tone-Mapping +1

SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples

1 code implementation CVPR 2023 Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang

LiDAR-based perception is a central component of autonomous driving, playing a key role in tasks such as vehicle localization and obstacle detection.

Autonomous Driving

Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks

no code implementations31 Dec 2022 Wen Wu, Kaige Qu, Peng Yang, Ning Zhang, Xuemin, Shen, Weihua Zhuang

Since the problem is NP-hard due to coupled network planning and network operation stages, we develop a Two timescAle netWork Slicing (TAWS) algorithm by collaboratively integrating reinforcement learning (RL) and optimization methods, which can jointly make network planning and operation decisions.

Reinforcement Learning (RL) Stochastic Optimization

CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields

no code implementations23 Nov 2022 Keqiang Sun, Shangzhe Wu, Ning Zhang, Zhaoyang Huang, Quan Wang, Hongsheng Li

Capitalizing on the recent advances in image generation models, existing controllable face image synthesis methods are able to generate high-fidelity images with some levels of controllability, e. g., controlling the shapes, expressions, textures, and poses of the generated face images.

Face Generation

Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention

no code implementations10 Nov 2022 Yifan Liu, YouBao Tang, Ning Zhang, Ruei-Sung Lin, Haoqian Wang

Temporal action localization (TAL) aims to detect the boundary and identify the class of each action instance in a long untrimmed video.

Optical Flow Estimation Temporal Action Localization

Reward Delay Attacks on Deep Reinforcement Learning

1 code implementation8 Sep 2022 Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher Gill, Ning Zhang

We find that this mitigation remains insufficient to ensure robustness to attacks that delay, but preserve the order, of rewards.

Q-Learning reinforcement-learning +1

PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation

no code implementations22 Jul 2022 Yirui Wang, Shenghua He, YouBao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han

In order to cope with the increasing demand for labeling data and privacy issues with human detection, synthetic data has been used as a substitute and showing promising results in human detection and tracking tasks.

Benchmarking Domain Adaptation +1

Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields

no code implementations16 Jun 2022 Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li

Capitalizing on the recent advances in image generation models, existing controllable face image synthesis methods are able to generate high-fidelity images with some levels of controllability, e. g., controlling the shapes, expressions, textures, and poses of the generated face images.

Face Generation

FadMan: Federated Anomaly Detection across Multiple Attributed Networks

no code implementations27 May 2022 Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang

The proposed algorithm FadMan is a vertical federated learning framework for public node aligned with many private nodes of different features, and is validated on two tasks correlated anomaly detection on multiple attributed networks and anomaly detection on an attributeless network using five real-world datasets.

Anomaly Detection Data Integration +1

Stability of China's Stock Market: Measure and Forecast by Ricci Curvature on Network

no code implementations14 Apr 2022 Xinyu Wang, Liang Zhao, Ning Zhang, Liu Feng, Haibo Lin

As far as we know, this is the first paper to apply Ricci curvature to forecast the systemic stability of domestic stock market, and our results show that Ricci curvature has good explanatory power for the market stability and can be a good indicator to judge the future risk and volatility of the domestic market.

Time Series Analysis

D3PG: Dirichlet DDPG for Task Partitioning and Offloading With Constrained Hybrid Action Space in Mobile-Edge Computing

no code implementations IEEE 2022 Laha Ale, Scott A. King, Ning Zhang, Abdul Rahman Sattar, Janahan Skandaraniyam

Mobile-edge computing (MEC) has been regarded as a promising paradigm to reduce service latency for data processing in the Internet of Things (IoT) by provisioning computing resources at the network edges.

Edge-computing General Reinforcement Learning +2

Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions

no code implementations24 Mar 2022 Yuntao Wang, Zhou Su, Ning Zhang, Ruidong Li

Unmanned aerial vehicles (UAVs) can help facilitate cost-effective and flexible service provisioning in future smart cities.

energy trading Privacy Preserving +1

Hierarchical BERT for Medical Document Understanding

no code implementations11 Mar 2022 Ning Zhang, Maciej Jankowski

Other than the ICD code assignment, we conduct a variety of other NLU tasks on a large commercial dataset named as TrialTrove, to showcase MDBERT's strength in delivering different levels of semantics.

Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search

no code implementations23 Feb 2022 Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang

To further adapt to both various data distributions and different types of devices with heterogeneous embedded hardware platforms, inspired by meta-learning, a Cluster Federated Direct Neural Architecture Search (CFDNAS) framework is proposed to achieve device-aware NAS, in the sense that each device can learn a tailored deep learning model for its particular data distribution and hardware constraint.

Federated Learning Meta-Learning +1

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval

no code implementations15 Feb 2022 Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao MJ Wang, Hugo Chen, Tamara L. Berg, Ning Zhang

We introduce CommerceMM - a multimodal model capable of providing a diverse and granular understanding of commerce topics associated to the given piece of content (image, text, image+text), and having the capability to generalize to a wide range of tasks, including Multimodal Categorization, Image-Text Retrieval, Query-to-Product Retrieval, Image-to-Product Retrieval, etc.

Representation Learning Retrieval +1

A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment

no code implementations27 Jan 2022 Xizhe Wang, Ning Zhang, Jia Wang, Jing Ni, Xinzi Sun, John Zhang, Zitao Liu, Yu Cao, Benyuan Liu

To improve the IVF success rate, we propose a knowledge-based decision support system that can provide medical advice on the treatment protocol and medication adjustment for each patient visit during IVF treatment cycle.


Smart Director: An Event-Driven Directing System for Live Broadcasting

no code implementations11 Jan 2022 Yingwei Pan, Yue Chen, Qian Bao, Ning Zhang, Ting Yao, Jingen Liu, Tao Mei

To our best knowledge, our system is the first end-to-end automated directing system for multi-camera sports broadcasting, completely driven by the semantic understanding of sports events.

Event Detection Highlight Detection

Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence

no code implementations8 Jan 2022 Ning Zhang, MohammadReza Ebrahimi, Weifeng Li, Hsinchun Chen

In this study, we propose a novel framework for automated breaking of dark web CAPTCHA to facilitate dark web data collection.

Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency

no code implementations23 Oct 2021 Xuming An, Rongfei Fan, Han Hu, Ning Zhang, Saman Atapattu, Theodoros A. Tsiftsis

To solve this challenging problem, we decompose it as a one-dimensional search of task offloading decision problem and a non-convex optimization problem with task offloading decision given.


PROVES: Establishing Image Provenance using Semantic Signatures

1 code implementation21 Oct 2021 Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik

Modern AI tools, such as generative adversarial networks, have transformed our ability to create and modify visual data with photorealistic results.

Face Verification

Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach

no code implementations30 Jun 2021 Zhongda Chu, Ning Zhang, Fei Teng

In order to prevent the potential frequency instability due to the high Power Electronics (PE) penetration under an unintentional islanding event, this paper presents a novel microgrid scheduling model which explicitly models the system frequency dynamics as well as the long/short term uncertainty associated with renewable energy resources and load.


Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective

no code implementations22 Jun 2021 Ning Zhang, Qian Ma, Xu Chen

We show that enforced by a punishment strategy, such a cooperative strategy is a subgame perfect Nash equilibrium (SPNE) of the infinitely repeated game, under which some clients who are free riders at the NE of the stage game choose to be (partial) contributors.

Federated Learning

Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning

1 code implementation7 Jun 2021 Xin Yang, Ning Zhang, Donglin Wang

Fourth, we generate three corresponding masks based on the 20 selected ROIs from group ICA, the 20 ROIs selected from dictionary learning, and the 40 combined ROIs selected from both.

Dictionary Learning

AI-Native Network Slicing for 6G Networks

no code implementations18 May 2021 Wen Wu, Conghao Zhou, Mushu Li, Huaqing Wu, Haibo Zhou, Ning Zhang, Xuemin, Shen, Weihua Zhuang

Then, network slicing solutions are studied to support emerging AI services by constructing AI instances and performing efficient resource management, i. e., slicing for AI.


Connecting What to Say With Where to Look by Modeling Human Attention Traces

1 code implementation CVPR 2021 Zihang Meng, Licheng Yu, Ning Zhang, Tamara Berg, Babak Damavandi, Vikas Singh, Amy Bearman

Learning the grounding of each word is challenging, due to noise in the human-provided traces and the presence of words that cannot be meaningfully visually grounded.

Image Captioning Visual Grounding

Topology Learning Aided False Data Injection Attack without Prior Topology Information

no code implementations24 Feb 2021 Martin Higgins, Jiawei Zhang, Ning Zhang, Fei Teng

False Data Injection (FDI) attacks against powersystem state estimation are a growing concern for operators. Previously, most works on FDI attacks have been performedunder the assumption of the attacker having full knowledge ofthe underlying system without clear justification.

Range decreasing group homomorphisms and holomorphic maps between generalized loop spaces

no code implementations11 Feb 2021 Ning Zhang

$\mathcal{F}^{0}(V, M)$ be the component of $\mathcal{F}(V, \mathcal{G})$ resp.

Complex Variables Functional Analysis Representation Theory 58D15, 46T25, 22E66, 58C10, 32H02

Newtonalized Orthogonal Matching Pursuit for Linear Frequency Modulated Pulse Frequency Agile Radar

no code implementations29 Jan 2021 Jiang Zhu, Honghui Guo, Ning Zhang, Chunyi Song, Zhiwei Xu

The linear frequency modulated (LFM) frequency agile radar (FAR) can synthesize a wide signal bandwidth through coherent processing while keeping the bandwidth of each pulse narrow.

Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model

1 code implementation14 Dec 2020 MohammadReza Ebrahimi, Ning Zhang, James Hu, Muhammad Taqi Raza, Hsinchun Chen

Recently, deep learning-based static anti-malware detectors have achieved success in identifying unseen attacks without requiring feature engineering and dynamic analysis.

Feature Engineering Language Modelling +1

Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency

no code implementations25 Nov 2020 Xuming An, Rongfei Fan, Han Hu, Ning Zhang, Saman Atapattu, Theodoros A. Tsiftsis

To solve this challenging problem, we decompose it as a one-dimensional search of task offloading decision problem and a non-convex optimization problem with task offloading decision given.

Edge-computing Information Theory Information Theory

DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing

no code implementations17 Aug 2020 Qiang Liu, Tao Han, Ning Zhang, Ye Wang

Network slicing enables multiple virtual networks run on the same physical infrastructure to support various use cases in 5G and beyond.

reinforcement-learning Reinforcement Learning (RL)

Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications

no code implementations15 Jul 2020 Xianfu Chen, Celimuge Wu, Zhi Liu, Ning Zhang, Yusheng Ji

Facing the trend of merging wireless communications and multi-access edge computing (MEC), this article studies computation offloading in the beyond fifth-generation networks.

Edge-computing Reinforcement Learning (RL)

Energy and Information Management of Electric Vehicular Network: A Survey

no code implementations17 May 2020 Nan Chen, Miao Wang, Ning Zhang, Xuemin, Shen

In this paper, we provide a comprehensive survey on the deployment and management of EVN considering all three aspects of energy flow, data communication, and computation.

Management Scheduling

Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

no code implementations13 May 2020 Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei

Inspired by the human "visual tracking" capability which leverages motion cues to distinguish the target from the background, we propose a Two-Stream Residual Convolutional Network (TS-RCN) for visual tracking, which successfully exploits both appearance and motion features for model update.

Visual Object Tracking Visual Tracking +1

Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding

no code implementations20 Apr 2020 Qingchun Hou, Ning Zhang, Daniel S. Kirschen, Ershun Du, Yaohua Cheng, Chongqing Kang

Data-driven techniques provide a promising way to identify security rules that can be embedded in economic dispatch model to keep power system operating states secure.

DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things

no code implementations12 Apr 2020 Yi Ding, Guozheng Wu, Dajiang Chen, Ning Zhang, Linpeng Gong, Mingsheng Cao, Zhiguang Qin

Specifically, in DeepEDN, the Cycle-Generative Adversarial Network (Cycle-GAN) is employed as the main learning network to transfer the medical image from its original domain into the target domain.

3D Aggregated Faster R-CNN for General Lesion Detection

no code implementations29 Jan 2020 Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo

This classifier branch is equipped with Feature Aggregation and Local Magnification Layers to enhance the classifier branch.

Computed Tomography (CT) Lesion Detection +2

Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data

no code implementations18 Dec 2019 Yaxing Chen, Qinghua Zheng, Dan Liu, Zheng Yan, Wenhai Sun, Ning Zhang, Wenjing Lou, Y. Thomas Hou

On one hand, such work lacks of supporting scalable access control over multiple data users.

Cryptography and Security Databases Distributed, Parallel, and Cluster Computing

Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features

no code implementations19 Nov 2019 Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu

We analyze the lesion-vs-image scale carefully and propose a large-size feature pyramid network (LFPN) to preserve more image details for mini lesion instance detection.

Lesion Detection object-detection +2

Bounding Regression Errors in Data-driven Power Grid Steady-state Models

no code implementations30 Oct 2019 Yuxiao Liu, Bolun Xu, Audun Botterud, Ning Zhang, Chongqing Kang

Results identify how the bounds decrease with additional power grid physical knowledge or more training data.


Fast mmwave Beam Alignment via Correlated Bandit Learning

no code implementations7 Sep 2019 Wen Wu, Nan Cheng, Ning Zhang, Peng Yang, Weihua Zhuang, Xuemin, Shen

Beam alignment (BA) is to ensure the transmitter and receiver beams are accurately aligned to establish a reliable communication link in millimeter-wave (mmwave) systems.

AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy

no code implementations5 Sep 2019 Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu

Though challenging, with the great advances in object detection techniques, automated polyp detection still demonstrates a great potential in reducing the false negative rate while maintaining a high precision.

object-detection Object Detection

Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

no code implementations ICCV 2019 Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng

Existing video-based human pose estimation methods extensively apply large networks onto every frame in the video to localize body joints, which suffer high computational cost and hardly meet the low-latency requirement in realistic applications.

2D Human Pose Estimation Pose Estimation

Weakly Supervised Body Part Segmentation with Pose based Part Priors

no code implementations30 Jul 2019 Zhengyuan Yang, Yuncheng Li, Linjie Yang, Ning Zhang, Jiebo Luo

The core idea is first converting the sparse weak labels such as keypoints to the initial estimate of body part masks, and then iteratively refine the part mask predictions.

Face Parsing Semantic Segmentation

Gridless Multisnapshot Variational Line Spectral Estimation from Coarsely Quantized Samples

no code implementations20 Jun 2019 Ning Zhang, Jiang Zhu, Zhiwei Xu

Due to the increasing demand for low power and higher sampling rates, low resolution quantization for data acquisition has drawn great attention recently.


Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning

no code implementations20 Jun 2019 Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik

We then use these in a double-oracle framework to obtain an approximate equilibrium of the game, which in turn yields a robust stochastic policy for the defender.

Intrusion Detection reinforcement-learning +1

Online Learning for Supervised Dimension Reduction

no code implementations ICLR 2019 Ning Zhang, Qiang Wu

The purpose of this paper is to propose new online learning approaches for supervised dimension reduction.

Dimensionality Reduction regression

Context-Aware Zero-Shot Recognition

1 code implementation19 Apr 2019 Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang

We present a novel problem setting in zero-shot learning, zero-shot object recognition and detection in the context.

Object Recognition Zero-Shot Learning

Laplace Landmark Localization

no code implementations ICCV 2019 Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, and Sergey Tulyakov

Our method claims state-of-the-art on all of the 300W benchmarks and ranks second-to-best on the Annotated Facial Landmarks in the Wild (AFLW) dataset.

Ranked #4 on Face Alignment on AFLW-19 (NME_box (%, Full) metric)

Face Alignment Facial Landmark Detection

Visual Attention Model for Name Tagging in Multimodal Social Media

no code implementations ACL 2018 Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji

Everyday billions of multimodal posts containing both images and text are shared in social media sites such as Snapchat, Twitter or Instagram.

Natural Language Understanding Question Answering

Overlapping Sliced Inverse Regression for Dimension Reduction

no code implementations23 Jun 2018 Ning Zhang, Zhou Yu, Qiang Wu

The new algorithm, called overlapping sliced inverse regression (OSIR), is able to estimate the effective dimension reduction space and determine the number of effective factors more accurately.

Dimensionality Reduction regression

An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints

no code implementations3 Jun 2018 Zhe Li, Xuehan Xiong, Zhou Ren, Ning Zhang, Xiaoyu Wang, Tianbao Yang

In this paper, we study how to design a genetic programming approach for optimizing the structure of a CNN for a given task under limited computational resources yet without imposing strong restrictions on the search space.

Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features

no code implementations28 Aug 2017 Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Ning Zhang, Yevgeniy Vorobeychik

A conventional approach to evaluate ML robustness to such attacks, as well as to design robust ML, is by considering simplified feature-space models of attacks, where the attacker changes ML features directly to effect evasion, while minimizing or constraining the magnitude of this change.

Intrusion Detection Malware Detection

Interactions of Fungi with Concrete: Significant Importance for Bio-Based Self-Healing Concrete

no code implementations4 Aug 2017 Jing Luo, Xiaobo Chen, Jada Crump, Hui Zhou, David G. Davies, Guangwen Zhou, Ning Zhang, Congrui Jin

The goal of this study is to explore a new self-healing concept in which fungi are used as a self-healing agent to promote calcium mineral precipitation to fill the cracks in concrete.

X-Ray Diffraction (XRD)

Deep Reinforcement Learning-based Image Captioning with Embedding Reward

no code implementations CVPR 2017 Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li

The policy network serves as a local guidance by providing the confidence of predicting the next word according to the current state.

Decision Making Image Captioning +2

AutoScaler: Scale-Attention Networks for Visual Correspondence

no code implementations17 Nov 2016 Shenlong Wang, Linjie Luo, Ning Zhang, Jia Li

We propose AutoScaler, a scale-attention network to explicitly optimize this trade-off in visual correspondence tasks.

Optical Flow Estimation

A Hierarchical Distributed Processing Framework for Big Image Data

no code implementations3 Jul 2016 Le Dong, Zhiyu Lin, Yan Liang, Ling He, Ning Zhang, Qi Chen, Xiaochun Cao, Ebroul lzquierdo

The proposed ICP framework consists of two mechanisms, i. e. SICP (Static ICP) and DICP (Dynamic ICP).

Fine-grained pose prediction, normalization, and recognition

no code implementations22 Nov 2015 Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell

Pose variation and subtle differences in appearance are key challenges to fine-grained classification.

General Classification Pose Prediction

Compact Bilinear Pooling

6 code implementations CVPR 2016 Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell

Bilinear models has been shown to achieve impressive performance on a wide range of visual tasks, such as semantic segmentation, fine grained recognition and face recognition.

Face Recognition Few-Shot Learning +3

Sparse learning of maximum likelihood model for optimization of complex loss function

no code implementations18 Nov 2015 Ning Zhang, Prathamesh Chandrasekar

In this paper, we study the problem of optimizing the complex performance measure directly to obtain a predictive model.

Image Classification Sparse Learning

Deep Domain Confusion: Maximizing for Domain Invariance

7 code implementations10 Dec 2014 Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell

Recent reports suggest that a generic supervised deep CNN model trained on a large-scale dataset reduces, but does not remove, dataset bias on a standard benchmark.

Domain Adaptation Model Selection

Do Convnets Learn Correspondence?

no code implementations NeurIPS 2014 Jonathan Long, Ning Zhang, Trevor Darrell

Convolutional neural nets (convnets) trained from massive labeled datasets have substantially improved the state-of-the-art in image classification and object detection.

General Classification Image Classification +3

Part-based R-CNNs for Fine-grained Category Detection

no code implementations15 Jul 2014 Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell

Semantic part localization can facilitate fine-grained categorization by explicitly isolating subtle appearance differences associated with specific object parts.

Fine-Grained Image Classification object-detection +1

PANDA: Pose Aligned Networks for Deep Attribute Modeling

1 code implementation CVPR 2014 Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev

We propose a method for inferring human attributes (such as gender, hair style, clothes style, expression, action) from images of people under large variation of viewpoint, pose, appearance, articulation and occlusion.

General Classification Object Recognition

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

8 code implementations6 Oct 2013 Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

We evaluate whether features extracted from the activation of a deep convolutional network trained in a fully supervised fashion on a large, fixed set of object recognition tasks can be re-purposed to novel generic tasks.

Domain Adaptation Object Recognition +2

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