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Improving Person Re-identification with Iterative Impression Aggregation
Our impression about one person often updates after we see more aspects ...
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Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Convolutional Neural Networks (CNNs) are known to rely more on local tex...
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Distillation Guided Residual Learning for Binary Convolutional Neural Networks
It is challenging to bridge the performance gap between Binary CNN (BCNN...
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Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
A recent approach for object detection and human pose estimation is to r...
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Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates
The typical bottom-up human pose estimation framework includes two stage...
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Weakly-Supervised Action Localization by Generative Attention Modeling
Weakly-supervised temporal action localization is a problem of learning ...
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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Deep neural networks have exhibited promising performance in image super...
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Efficient Semantic Video Segmentation with Per-frame Inference
In semantic segmentation, most existing real-time deep models trained wi...
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Object-Contextual Representations for Semantic Segmentation
In this paper, we address the problem of semantic segmentation and focus...
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Cross View Fusion for 3D Human Pose Estimation
We present an approach to recover absolute 3D human poses from multi-vie...
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Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation
In this paper, we are interested in bottom-up multi-person human pose es...
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Global-Local Temporal Representations For Video Person Re-Identification
This paper proposes the Global-Local Temporal Representation (GLTR) to e...
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Deep High-Resolution Representation Learning for Visual Recognition
High-resolution representations are essential for position-sensitive vis...
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Interlaced Sparse Self-Attention for Semantic Segmentation
In this paper, we present a so-called interlaced sparse self-attention a...
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MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification
An effective and efficient person re-identification (ReID) algorithm wil...
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Group Re-Identification with Multi-grained Matching and Integration
The task of re-identifying groups of people underdifferent camera views ...
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High-Resolution Representations for Labeling Pixels and Regions
High-resolution representation learning plays an essential role in many ...
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Structured Knowledge Distillation for Semantic Segmentation
In this paper, we investigate the knowledge distillation strategy for tr...
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Deep High-Resolution Representation Learning for Human Pose Estimation
This is an official pytorch implementation of Deep High-Resolution Repre...
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Collaborative Quantization for Cross-Modal Similarity Search
Cross-modal similarity search is a problem about designing a search syst...
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Supervised Quantization for Similarity Search
In this paper, we address the problem of searching for semantically simi...
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Deep Triplet Quantization
Deep hashing establishes efficient and effective image retrieval by end-...
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Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation
Cross-platform recommendation aims to improve the recommendation accurac...
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Weakly Supervised Dense Event Captioning in Videos
Dense event captioning aims to detect and describe all events of interes...
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Accelerating Deep Neural Networks with Spatial Bottleneck Modules
This paper presents an efficient module named spatial bottleneck for acc...
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OCNet: Object Context Network for Scene Parsing
Context is essential for various computer vision tasks. The state-of-the...
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IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks
In this paper, we are interested in building lightweight and efficient c...
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Part-Aligned Bilinear Representations for Person Re-identification
We propose a novel network that learns a part-aligned representation for...
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IGCV2: Interleaved Structured Sparse Convolutional Neural Networks
In this paper, we study the problem of designing efficient convolutional...
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Object Detection in Videos by Short and Long Range Object Linking
We address the problem of detecting objects in videos with the interest ...
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LVreID: Person Re-Identification with Long Sequence Videos
This paper mainly establishes a large-scale Long sequence Video database...
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Composite Quantization
This paper studies the compact coding approach to approximate nearest ne...
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Human Pose Estimation using Global and Local Normalization
In this paper, we address the problem of estimating the positions of hum...
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Training Better CNNs Requires to Rethink ReLU
With the rapid development of Deep Convolutional Neural Networks (DCNNs)...
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Deeply-Learned Part-Aligned Representations for Person Re-Identification
In this paper, we address the problem of person re-identification, which...
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Orthogonal and Idempotent Transformations for Learning Deep Neural Networks
Identity transformations, used as skip-connections in residual networks,...
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Interleaved Group Convolutions for Deep Neural Networks
In this paper, we present a simple and modularized neural network archit...
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Learning Correspondence Structures for Person Re-identification
This paper addresses the problem of handling spatial misalignments due t...
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Deep Convolutional Neural Networks with Merge-and-Run Mappings
A deep residual network, built by stacking a sequence of residual blocks...
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A Survey on Learning to Hash
Nearest neighbor search is a problem of finding the data points from the...
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Deeply-Fused Nets
In this paper, we present a novel deep learning approach, deeply-fused n...
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Good Practice in CNN Feature Transfer
The objective of this paper is the effective transfer of the Convolution...
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A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes
This paper addresses the problem of detecting coherent motions in crowd ...
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DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
A key problem in salient object detection is how to effectively model th...
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Person Re-identification with Correspondence Structure Learning
This paper addresses the problem of handling spatial misalignments due t...
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Group K-Means
We study how to learn multiple dictionaries from a dataset, and approxim...
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Salient Object Detection: A Discriminative Regional Feature Integration Approach
Salient object detection has been attracting a lot of interest, and rece...
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Deep Regression for Face Alignment
In this paper, we present a deep regression approach for face alignment....
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Hashing for Similarity Search: A Survey
Similarity search (nearest neighbor search) is a problem of pursuing the...
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