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Anchor-Free Person Search
Person search aims to simultaneously localize and identify a query perso...
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SwiftNet: Real-time Video Object Segmentation
In this work we present SwiftNet for real-time semi-supervised video obj...
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Occluded Video Instance Segmentation
Can our video understanding systems perceive objects when a heavy occlus...
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Multi-shot Temporal Event Localization: a Benchmark
Current developments in temporal event or action localization usually ta...
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Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Semantic segmentation (SS) is an important perception manner for self-dr...
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Dual Attention GANs for Semantic Image Synthesis
In this paper, we focus on the semantic image synthesis task that aims a...
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Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Semantic segmentation is important for many real-world systems, e.g., au...
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Bipartite Graph Reasoning GANs for Person Image Generation
We present a novel Bipartite Graph Reasoning GAN (BiGraphGAN) for the ch...
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Corner Proposal Network for Anchor-free, Two-stage Object Detection
The goal of object detection is to determine the class and location of o...
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FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
While scene text recognition techniques have been widely used in commerc...
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XingGAN for Person Image Generation
We propose a novel Generative Adversarial Network (XingGAN or CrossingGA...
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Neural Architecture Search for Lightweight Non-Local Networks
Non-Local (NL) blocks have been widely studied in various vision tasks. ...
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Holistically-Attracted Wireframe Parsing
This paper presents a fast and parsimonious parsing method to accurately...
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AutoScale: Learning to Scale for Crowd Counting
Crowd counting in images is a widely explored but challenging task. Thou...
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Learning Regional Attraction for Line Segment Detection
This paper presents regional attraction of line segment maps, and hereby...
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Anchor Diffusion for Unsupervised Video Object Segmentation
Unsupervised video object segmentation has often been tackled by methods...
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Asymmetric Non-local Neural Networks for Semantic Segmentation
The non-local module works as a particularly useful technique for semant...
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View N-gram Network for 3D Object Retrieval
How to aggregate multi-view representations of a 3D shape object into an...
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Symmetry-constrained Rectification Network for Scene Text Recognition
Reading text in the wild is a very challenging task due to the diversity...
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Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting
Dense crowd counting aims to predict thousands of human instances from a...
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Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting
Dense crowd counting aims to predict thousands of human instances from a...
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CenterNet: Keypoint Triplets for Object Detection
In object detection, keypoint-based approaches often suffer a large numb...
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CenterNet: Object Detection with Keypoint Triplets
In object detection, keypoint-based approaches often suffer a large numb...
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Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
Accurate multi-organ abdominal CT segmentation is essential to many clin...
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Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
This paper focuses on learning transferable adversarial examples specifi...
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Adversarial Metric Attack for Person Re-identification
Person re-identification (re-ID) has attracted much attention recently d...
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Hypergraph Convolution and Hypergraph Attention
Recently, graph neural networks have attracted great attention and achie...
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Learn to Interpret Atari Agents
Deep Reinforcement Learning (DeepRL) models surpass human-level performa...
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Learning Transferable Adversarial Examples via Ghost Networks
The recent development of adversarial attack has proven that ensemble-ba...
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Learning Attraction Field Representation for Robust Line Segment Detection
This paper presents a region-partition based attraction field dual repre...
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Hard-Aware Point-to-Set Deep Metric for Person Re-identification
Person re-identification (re-ID) is a highly challenging task due to lar...
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PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Weakly Supervised Object Detection (WSOD), using only image-level annota...
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Triplet-Center Loss for Multi-View 3D Object Retrieval
Most existing 3D object recognition algorithms focus on leveraging the s...
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Divide and Fuse: A Re-ranking Approach for Person Re-identification
As re-ranking is a necessary procedure to boost person re-identification...
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Scalable Person Re-identification on Supervised Smoothed Manifold
Most existing person re-identification algorithms either extract robust ...
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GIFT: A Real-time and Scalable 3D Shape Search Engine
Projective analysis is an important solution for 3D shape retrieval, sin...
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Deep Learning Representation using Autoencoder for 3D Shape Retrieval
We study the problem of how to build a deep learning representation for ...
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