Liang Lin

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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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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Blockwisely Supervised Neural Architecture Search with Knowledge Distillation

Neural Architecture Search (NAS), aiming at automatically designing netw...
11/29/2019 ∙ by Changlin Li, et al. ∙ 19 ∙ share

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Layout-Graph Reasoning for Fashion Landmark Detection

Detecting dense landmarks for diverse clothes, as a fundamental techniqu...
10/04/2019 ∙ by Weijiang Yu, et al. ∙ 17 ∙ share

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Adaptively Connected Neural Networks

This paper presents a novel adaptively connected neural network (ACNet) ...
04/07/2019 ∙ by Guangrun Wang, et al. ∙ 14 ∙ share

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Neural Task Planning with And-Or Graph Representations

This paper focuses on semantic task planning, i.e., predicting a sequenc...
08/25/2018 ∙ by Tianshui Chen, et al. ∙ 12 ∙ share

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3D Human Pose Machines with Self-supervised Learning

Driven by recent computer vision and robotic applications, recovering 3D...
01/12/2019 ∙ by Keze Wang, et al. ∙ 12 ∙ 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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Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition

Humans can naturally understand an image in depth with the aid of rich k...
07/02/2018 ∙ by Tianshui Chen, et al. ∙ 10 ∙ share

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Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark

Person re-identification (ReID) benefits greatly from the accurate annot...
04/08/2019 ∙ by Guangrun Wang, et al. ∙ 10 ∙ share

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Deep Reasoning with Knowledge Graph for Social Relationship Understanding

Social relationships (e.g., friends, couple etc.) form the basis of the ...
07/02/2018 ∙ by Zhouxia Wang, et al. ∙ 8 ∙ 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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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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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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Instance-level Human Parsing via Part Grouping Network

Instance-level human parsing towards real-world human analysis scenarios...
08/01/2018 ∙ by Ke Gong, et al. ∙ 4 ∙ 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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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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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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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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Toward Characteristic-Preserving Image-based Virtual Try-On Network

Image-based virtual try-on systems for fitting a new in-shop clothes int...
07/20/2018 ∙ by Bochao Wang, et al. ∙ 2 ∙ share

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Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

Beyond the existing single-person and multiple-person human parsing task...
08/02/2018 ∙ by Qixian Zhou, et al. ∙ 2 ∙ share

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Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding

Object categories inherently form a hierarchy with different levels of c...
08/14/2018 ∙ by Tianshui Chen, et al. ∙ 2 ∙ share

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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

This paper reviews the first challenge on efficient perceptual image enh...
10/03/2018 ∙ by Andrey Ignatov, et al. ∙ 2 ∙ 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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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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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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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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Learning to Segment Human by Watching YouTube

An intuition on human segmentation is that when a human is moving in a v...
10/04/2017 ∙ by Xiaodan Liang, et al. ∙ 0 ∙ share

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Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning

Sketch portrait generation benefits a wide range of applications such as...
10/04/2017 ∙ by Dongyu Zhang, et al. ∙ 0 ∙ share

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Visual Tracking via Learning Dynamic Patch-based Graph Representation

Existing visual tracking methods usually localize a target object with a...
10/04/2017 ∙ by Chenglong Li, et al. ∙ 0 ∙ share

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Scene Parsing by Weakly Supervised Learning with Image Descriptions

This paper investigates a fundamental problem of scene understanding: ho...
09/27/2017 ∙ by Ruimao Zhang, et al. ∙ 0 ∙ share

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Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy

This work investigates how the traditional image classification pipeline...
08/08/2015 ∙ by Zhanglin Peng, 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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Recurrent 3D Pose Sequence Machines

3D human articulated pose recovery from monocular image sequences is ver...
07/31/2017 ∙ by Mude Lin, et al. ∙ 0 ∙ share

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Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning

Aiming at improving performance of visual classification in a cost-effec...
07/28/2017 ∙ by Ziliang Chen, et al. ∙ 0 ∙ share

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Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning

Single image super resolution (SR), which refers to reconstruct a higher...
07/26/2017 ∙ by Yukai Shi, et al. ∙ 0 ∙ share

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Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction

This paper aims at task-oriented action prediction, i.e., predicting a s...
07/15/2017 ∙ by Liang Lin, et al. ∙ 0 ∙ share

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Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing

Human parsing has recently attracted a lot of research interests due to ...
03/16/2017 ∙ by Ke Gong, et al. ∙ 0 ∙ share

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Interpretable Structure-Evolving LSTM

This paper develops a general framework for learning interpretable data ...
03/08/2017 ∙ by Xiaodan Liang, et al. ∙ 0 ∙ share

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Active Self-Paced Learning for Cost-Effective and Progressive Face Identification

This paper aims to develop a novel cost-effective framework for face ide...
01/13/2017 ∙ by Liang Lin, et al. ∙ 0 ∙ share

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Cost-Effective Active Learning for Deep Image Classification

Recent successes in learning-based image classification, however, heavil...
01/13/2017 ∙ by Keze Wang, et al. ∙ 0 ∙ share

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Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning

Cross-domain visual data matching is one of the fundamental problems in ...
05/13/2016 ∙ by Liang Lin, et al. ∙ 0 ∙ share

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Learning to Segment Object Proposals via Recursive Neural Networks

To avoid the exhaustive search over locations and scales, current state-...
12/04/2016 ∙ by Tianshui Chen, et al. ∙ 0 ∙ share

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Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning

Human pose estimation (i.e., locating the body parts / joints of a perso...
08/13/2016 ∙ by Keze Wang, et al. ∙ 0 ∙ share

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Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning

Recently, machine learning based single image super resolution (SR) appr...
07/25/2016 ∙ by Yukai Shi, et al. ∙ 0 ∙ share

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LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

Semantic labeling of RGB-D scenes is crucial to many intelligent applica...
04/18/2016 ∙ by Zhen Li, et al. ∙ 0 ∙ share

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DARI: Distance metric And Representation Integration for Person Verification

The past decade has witnessed the rapid development of feature represent...
04/15/2016 ∙ by Guangrun Wang, et al. ∙ 0 ∙ share

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Deep Structured Scene Parsing by Learning with Image Descriptions

This paper addresses a fundamental problem of scene understanding: How t...
04/08/2016 ∙ by Liang Lin, et al. ∙ 0 ∙ share

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Geometric Scene Parsing with Hierarchical LSTM

This paper addresses the problem of geometric scene parsing, i.e. simult...
04/07/2016 ∙ by Zhanglin Peng, et al. ∙ 0 ∙ share

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Joint Detection and Identification Feature Learning for Person Search

Existing person re-identification benchmarks and methods mainly focus on...
04/07/2016 ∙ by Tong Xiao, et al. ∙ 0 ∙ share

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Liang Lin

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