Liang Lin

A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning

Although deep convolutional neural networks (CNNs) have demonstrated rem...
10/15/2020 ∙ by Hongjun Wang, et al. ∙ 0 ∙ share

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Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems

A practical automatic textual math word problems (MWPs) solver should be...
10/14/2020 ∙ by Jinghui Qin, et al. ∙ 0 ∙ share

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GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems

Automatically evaluating dialogue coherence is a challenging but high-de...
10/08/2020 ∙ by Lishan Huang, et al. ∙ 0 ∙ share

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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...
09/25/2020 ∙ by Pengxu Wei, et al. ∙ 7 ∙ share

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Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

Recognizing multiple labels of an image is a practical yet challenging t...
09/20/2020 ∙ by Tianshui Chen, et al. ∙ 2 ∙ share

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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. ∙ 38 ∙ 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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Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View

Multi-view clustering methods have been a focus in recent years because ...
08/23/2020 ∙ by Junpeng Tan, et al. ∙ 0 ∙ share

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Component Divide-and-Conquer for Real-World Image Super-Resolution

In this paper, we present a large-scale Diverse Real-world image Super-R...
08/05/2020 ∙ by Pengxu Wei, et al. ∙ 0 ∙ 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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Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition

Data inconsistency and bias are inevitable among different facial expres...
08/03/2020 ∙ by Yuan Xie, et al. ∙ 0 ∙ share

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Fine-Grained Image Captioning with Global-Local Discriminative Objective

Significant progress has been made in recent years in image captioning, ...
07/21/2020 ∙ by Jie Wu, et al. ∙ 0 ∙ share

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EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

Finding out the computational redundant part of a trained Deep Neural Ne...
07/06/2020 ∙ by Bailin Li, et al. ∙ 4 ∙ share

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Bidirectional Graph Reasoning Network for Panoptic Segmentation

Recent researches on panoptic segmentation resort to a single end-to-end...
04/14/2020 ∙ by Yangxin Wu, et al. ∙ 9 ∙ share

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Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

The success of DNNs has driven the extensive applications of person re-i...
04/08/2020 ∙ by Hongjun Wang, 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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Linguistically Driven Graph Capsule Network for Visual Question Reasoning

Recently, studies of visual question answering have explored various arc...
03/23/2020 ∙ by Qingxing Cao, et al. ∙ 4 ∙ share

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Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis

Medical automatic diagnosis (MAD) aims to learn an agent that mimics the...
03/14/2020 ∙ by Junfan Lin, et al. ∙ 4 ∙ share

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DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution

Different from traditional image super-resolution task, real image super...
02/25/2020 ∙ by Yukai Shi, et al. ∙ 0 ∙ 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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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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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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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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Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

Resembling the rapid learning capability of human, low-shot learning emp...
09/28/2019 ∙ by Xiaopeng Yan, et al. ∙ 0 ∙ share

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Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network

Explanation and high-order reasoning capabilities are crucial for real-w...
09/23/2019 ∙ by Qingxing Cao, et al. ∙ 0 ∙ 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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Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition

Recognizing multiple labels of images is a practical and challenging tas...
08/20/2019 ∙ by Tianshui Chen, et al. ∙ 0 ∙ 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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Learning Compact Target-Oriented Feature Representations for Visual Tracking

Many state-of-the-art trackers usually resort to the pretrained convolut...
08/05/2019 ∙ by Chenglong Li, et al. ∙ 0 ∙ 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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Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks

(Unsupervised) Domain Adaptation (DA) seeks for classifying target insta...
07/08/2019 ∙ by Ziliang Chen, 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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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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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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Graphonomy: Universal Human Parsing via Graph Transfer Learning

Prior highly-tuned human parsing models tend to fit towards each dataset...
04/09/2019 ∙ by Ke Gong, et al. ∙ 0 ∙ 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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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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Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

Recent studies have shown remarkable advances in 3D human pose estimatio...
03/21/2019 ∙ by Xipeng Chen, et al. ∙ 0 ∙ share

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Knowledge-Embedded Routing Network for Scene Graph Generation

To understand a scene in depth not only involves locating/recognizing in...
03/08/2019 ∙ by Tianshui Chen, et al. ∙ 0 ∙ share

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End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

Beyond current conversational chatbots or task-oriented dialogue systems...
01/30/2019 ∙ by Lin Xu, et al. ∙ 0 ∙ 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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SNAS: Stochastic Neural Architecture Search

We propose Stochastic Neural Architecture Search (SNAS), an economical e...
12/24/2018 ∙ by Sirui Xie, et al. ∙ 0 ∙ share

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Liang Lin

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