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04/25/2022
Graph Auto-Encoders for Network Completion
Completing a graph means inferring the missing nodes and edges from a pa...
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12/30/2021
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Corrupted labels and class imbalance are commonly encountered in practic...
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12/05/2021
Intention Recognition for Multiple Agents
Intention recognition is an important step to facilitate collaboration i...
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06/29/2021
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
One essential problem in skeleton-based action recognition is how to ext...
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03/29/2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification
Generalizable person Re-Identification (ReID) has attracted growing atte...
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01/20/2021
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
In object detection, bounding box regression (BBR) is a crucial step tha...
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10/20/2020
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition
One essential problem in skeleton-based action recognition is how to ext...
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08/09/2020
Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition
Current methods for skeleton-based human action recognition usually work...
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01/18/2020
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
Network structures in various backgrounds play important roles in social...
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07/15/2019
Slow Feature Analysis for Human Action Recognition
Slow Feature Analysis (SFA) extracts slowly varying features from a quic...
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05/16/2019
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons
Current methods for skeleton-based human action recognition usually work...
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05/16/2019
Richlt Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons
Current methods for skeleton-based human action recognition usually work...
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03/06/2019
Large-Scale Pedestrian Retrieval Competition
The Large-Scale Pedestrian Retrieval Competition (LSPRC) mainly focuses ...
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12/30/2018
A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data
In this work, we present Gumbel Graph Network, a model-free deep learnin...
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10/18/2017
Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
Person Re-identification (ReID) is to identify the same person across di...
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11/29/2016
A Large-scale Distributed Video Parsing and Evaluation Platform
Visual surveillance systems have become one of the largest data sources ...
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11/17/2016
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization
State-of-the-art methods treat pedestrian attribute recognition as a mul...
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03/23/2016
