Guanbin Li

Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos

Temporal grounding of natural language in untrimmed videos is a fundamen...
09/18/2020 ∙ by Jie Wu, et al. ∙ 0 ∙ share

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Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection

Object detectors are usually trained with large amount of labeled data, ...
09/17/2020 ∙ by Ganlong Zhao, et al. ∙ 0 ∙ share

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Online Alternate Generator against Adversarial Attacks

The field of computer vision has witnessed phenomenal progress in recent...
09/17/2020 ∙ by Haofeng Li, et al. ∙ 1 ∙ share

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Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition

Existing vision-based action recognition is susceptible to occlusion and...
09/01/2020 ∙ by Yang Liu, et al. ∙ 11 ∙ share

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Active Object Search

In this work, we investigate an Active Object Search (AOS) task that is ...
08/03/2020 ∙ by Jie Wu, et al. ∙ 12 ∙ share

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Peeking into occluded joints: A novel framework for crowd pose estimation

Although occlusion widely exists in nature and remains a fundamental cha...
03/23/2020 ∙ by Lingteng Qiu, et al. ∙ 1 ∙ share

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Efficient Crowd Counting via Structured Knowledge Transfer

Crowd counting is an application-oriented task and its inference efficie...
03/23/2020 ∙ by Lingbo Liu, et al. ∙ 5 ∙ share

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Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread

Recently deep convolutional neural networks have achieved significant su...
01/22/2020 ∙ by Haofeng Li, et al. ∙ 8 ∙ share

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Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video

Temporally language grounding in untrimmed videos is a newly-raised task...
01/18/2020 ∙ by Jie Wu, et al. ∙ 12 ∙ share

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Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction

Due to the widespread applications in real-world scenarios, metro riders...
01/14/2020 ∙ by Jingwen Chen, et al. ∙ 0 ∙ share

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An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation

We focus on Unsupervised Domain Adaptation (UDA) for the task of semanti...
12/18/2019 ∙ by Jihan Yang, et al. ∙ 5 ∙ share

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Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation

Recently 3D volumetric organ segmentation attracts much research interes...
11/23/2019 ∙ by Chaowei Fang, et al. ∙ 13 ∙ share

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Self-Enhanced Convolutional Network for Facial Video Hallucination

As a domain-specific super-resolution problem, facial image hallucinatio...
11/23/2019 ∙ by Chaowei Fang, et al. ∙ 19 ∙ share

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Knowledge Graph Transfer Network for Few-Shot Recognition

Few-shot learning aims to learn novel categories from very few samples g...
11/21/2019 ∙ by Riquan Chen, et al. ∙ 0 ∙ share

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Generalizing Energy-based Generative ConvNets from Particle Evolution Perspective

Compared with Generative Adversarial Networks (GAN), the Energy-Based ge...
10/31/2019 ∙ by Yang Wu, et al. ∙ 24 ∙ share

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Dynamic Graph Attention for Referring Expression Comprehension

Referring expression comprehension aims to locate the object instance de...
09/18/2019 ∙ by Sibei Yang, et al. ∙ 0 ∙ share

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A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension

Referring expression comprehension aims to localize the object instance ...
09/16/2019 ∙ by Yue Liao, et al. ∙ 0 ∙ share

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Motion Guided Attention for Video Salient Object Detection

Video salient object detection aims at discovering the most visually dis...
09/16/2019 ∙ by Haofeng Li, et al. ∙ 7 ∙ share

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ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction

As a crucial component in intelligent transportation systems, crowd flow...
09/02/2019 ∙ by Lingbo Liu, et al. ∙ 0 ∙ share

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Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid

Matching clothing images from customers and online shopping stores has r...
08/30/2019 ∙ by Zhanghui Kuang, et al. ∙ 0 ∙ share

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Crowd Counting with Deep Structured Scale Integration Network

Automatic estimation of the number of people in unconstrained crowded sc...
08/23/2019 ∙ by Lingbo Liu, et al. ∙ 49 ∙ share

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Semi-Supervised Video Salient Object Detection Using Pseudo-Labels

Deep learning-based video salient object detection has recently achieved...
08/12/2019 ∙ by Pengxiang Yan, et al. ∙ 2 ∙ share

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Semi-supervised Skin Detection by Network with Mutual Guidance

In this paper we present a new data-driven method for robust skin detect...
08/06/2019 ∙ by Yi He, et al. ∙ 3 ∙ share

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Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching

A broad range of cross-m-domain generation researches boil down to match...
07/08/2019 ∙ by Ziliang Chen, et al. ∙ 6 ∙ share

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Cross-Modal Relationship Inference for Grounding Referring Expressions

Grounding referring expressions is a fundamental yet challenging task fa...
06/11/2019 ∙ by Sibei Yang, et al. ∙ 0 ∙ share

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Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction

Taxi demand prediction has recently attracted increasing research intere...
05/15/2019 ∙ by Lingbo Liu, et al. ∙ 3 ∙ share

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ROSA: Robust Salient Object Detection against Adversarial Attacks

Recently salient object detection has witnessed remarkable improvement o...
05/09/2019 ∙ by Haofeng Li, et al. ∙ 0 ∙ share

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Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning

Face hallucination is a domain-specific super-resolution problem that ai...
05/04/2019 ∙ by Yukai Shi, et al. ∙ 1 ∙ share

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Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Recent progress in biomedical image segmentation based on deep convoluti...
04/27/2019 ∙ by Xiang He, et al. ∙ 0 ∙ share

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Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition

Facial action unit (AU) recognition is a crucial task for facial express...
04/22/2019 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment

The collection of internet images has been growing in an astonishing spe...
04/01/2019 ∙ by Kan Wu, et al. ∙ 0 ∙ share

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Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions

Three-dimensional object recognition has recently achieved great progres...
12/11/2018 ∙ by Weikai Chen, et al. ∙ 14 ∙ share

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Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning

Facial landmark localization plays a critical role in face recognition a...
12/10/2018 ∙ by Lingbo Liu, et al. ∙ 4 ∙ share

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FRAME Revisited: An Interpretation View Based on Particle Evolution

FRAME (Filters, Random fields, And Maximum Entropy) is an energy-based d...
12/04/2018 ∙ by Xu Cai, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach

Unsupervised domain adaptation aims to mitigate the domain shift when tr...
11/19/2018 ∙ by Ruijia Xu, et al. ∙ 0 ∙ share

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Cross-Modal Attentional Context Learning for RGB-D Object Detection

Recognizing objects from simultaneously sensed photometric (RGB) and dep...
10/30/2018 ∙ by Guanbin Li, et al. ∙ 4 ∙ share

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Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview

Semantic image parsing, which refers to the process of decomposing image...
10/10/2018 ∙ by Lili Huang, et al. ∙ 2 ∙ share

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Attentive Crowd Flow Machines

Traffic flow prediction is crucial for urban traffic management and publ...
09/01/2018 ∙ by Lingbo Liu, et al. ∙ 0 ∙ share

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Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining

Single image rain streaks removal has recently witnessed substantial pro...
08/04/2018 ∙ by Guanbin Li, et al. ∙ 4 ∙ share

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Crowd Counting using Deep Recurrent Spatial-Aware Network

Crowd counting from unconstrained scene images is a crucial task in many...
07/02/2018 ∙ by Lingbo Liu, et al. ∙ 0 ∙ share

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Visual Question Reasoning on General Dependency Tree

The collaborative reasoning for understanding each image-question pair i...
03/31/2018 ∙ by Qingxing Cao, et al. ∙ 0 ∙ share

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Contrast-Oriented Deep Neural Networks for Salient Object Detection

Deep convolutional neural networks have become a key element in the rece...
03/30/2018 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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Weakly Supervised Salient Object Detection Using Image Labels

Deep learning based salient object detection has recently achieved great...
03/17/2018 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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Context-Aware Semantic Inpainting

Recently image inpainting has witnessed rapid progress due to generative...
12/21/2017 ∙ by Haofeng Li, et al. ∙ 0 ∙ share

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Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition

Recognizing multiple labels of images is a fundamental but challenging t...
12/20/2017 ∙ by Tianshui Chen, et al. ∙ 0 ∙ share

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Multi-label Image Recognition by Recurrently Discovering Attentional Regions

This paper proposes a novel deep architecture to address multi-label ima...
11/08/2017 ∙ by Zhouxia Wang, et al. ∙ 0 ∙ share

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Attention-Aware Face Hallucination via Deep Reinforcement Learning

Face hallucination is a domain-specific super-resolution problem with th...
08/10/2017 ∙ by Qingxing Cao, et al. ∙ 0 ∙ share

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Visual Saliency Detection Based on Multiscale Deep CNN Features

Visual saliency is a fundamental problem in both cognitive and computati...
09/07/2016 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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Deep Contrast Learning for Salient Object Detection

Salient object detection has recently witnessed substantial progress due...
03/07/2016 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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Visual Saliency Based on Multiscale Deep Features

Visual saliency is a fundamental problem in both cognitive and computati...
03/30/2015 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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Guanbin Li

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