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07/21/2023
ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection
Object detection is the key technique to a number of Computer Vision app...
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05/11/2022
TDT: Teaching Detectors to Track without Fully Annotated Videos
Recently, one-stage trackers that use a joint model to predict both dete...
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01/11/2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Learning visual knowledge from massive weakly-labeled web videos has att...
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12/07/2019
Long Term Temporal Context for Per-Camera Object Detection
In static monitoring cameras, useful contextual information can stretch ...
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10/28/2017
Topology Adaptive Graph Convolutional Networks
Convolution acts as a local feature extractor in convolutional neural ne...
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07/29/2017
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
In this paper, we develop deep spatio-temporal neural networks to sequen...
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05/26/2017
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
While domain adaptation has been actively researched in recent years, mo...
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03/17/2017