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11/12/2022
NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets
We propose a post-processor, called NeighborTrack, that leverages neighb...
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11/09/2022
Designing Network Design Strategies Through Gradient Path Analysis
Designing a high-efficiency and high-quality expressive network architec...
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07/06/2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLOv7 surpasses all known object detectors in both speed and accuracy i...
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03/16/2022
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video
Learning to capture human motion is essential to 3D human pose and shape...
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05/10/2021
You Only Learn One Representation: Unified Network for Multiple Tasks
People “understand” the world via vision, hearing, tactile, and also the...
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11/16/2020
Scaled-YOLOv4: Scaling Cross Stage Partial Network
We show that the YOLOv4 object detection neural network based on the CSP...
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05/19/2020
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization
The goal of this work is to provide a viable solution based on reinforce...
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04/23/2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
There are a huge number of features which are said to improve Convolutio...
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11/27/2019
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Neural networks have enabled state-of-the-art approaches to achieve incr...
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03/27/2018
A New Target-specific Object Proposal Generation Method for Visual Tracking
Object proposal generation methods have been widely applied to many comp...
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12/25/2017
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression
Despite recent progress, computational visual aesthetic is still challen...
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12/19/2017