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06/17/2023
MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction
This report introduces the 1st place winning solution for the Autonomous...
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01/18/2023
Deep Dynamic Scene Deblurring from Optical Flow
Deblurring can not only provide visually more pleasant pictures and make...
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12/29/2022
Multi-Agent Deep Reinforcement Learning Based Resource Management in SWIPT Enabled Cellular Networks with H2H/M2M Co-Existence
Machine-to-Machine (M2M) communication is crucial in developing Internet...
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10/06/2022
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks
Weight and activation binarization can efficiently compress deep neural ...
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03/07/2022
Privacy Leakage in Proactive VR Streaming: Modeling and Tradeoff
Proactive tile-based virtual reality (VR) video streaming employs the vi...
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12/31/2021
Scene-Adaptive Attention Network for Crowd Counting
In recent years, significant progress has been made on the research of c...
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12/21/2021
SOIT: Segmenting Objects with Instance-Aware Transformers
This paper presents an end-to-end instance segmentation framework, terme...
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11/04/2021
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay – 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual
Online continual learning in the wild is a very difficult task in machin...
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10/20/2021
FoV Privacy-aware VR Streaming
Proactive tile-based virtual reality (VR) video streaming can use the tr...
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07/21/2021
Anomaly Detection via Self-organizing Map
Anomaly detection plays a key role in industrial manufacturing for produ...
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07/19/2021
InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
Multi-person pose estimation is an attractive and challenging task. Exis...
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07/04/2021
Direct Measure Matching for Crowd Counting
Traditional crowd counting approaches usually use Gaussian assumption to...
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05/31/2021
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
In this paper, we focus on the multi-object tracking (MOT) problem of au...
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04/29/2021
Spatial Privacy-aware VR streaming
Proactive tile-based virtual reality (VR) video streaming employs the cu...
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04/20/2021
Privacy-aware VR streaming
Proactive tile-based virtual reality (VR) video streaming employs the cu...
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03/03/2021
Self-Distribution Binary Neural Networks
In this work, we study the binary neural networks (BNNs) of which both t...
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03/02/2021
Efficient Deep Image Denoising via Class Specific Convolution
Deep neural networks have been widely used in image denoising during the...
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01/03/2021
Duration-Squeezing-Aware Communication and Computing for Proactive VR
Proactive tile-based virtual reality video streaming computes and delive...
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10/03/2020
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration
To apply deep CNNs to mobile terminals and portable devices, many schola...
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04/23/2020
Few-Shot Class-Incremental Learning
The ability to incrementally learn new classes is crucial to the develop...
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10/30/2019
Universal Adversarial Perturbations Against Person Re-Identification
Person re-identification (re-ID) has made great progress and achieved hi...
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10/30/2019
Prediction, Communication, and Computing Duration Optimization for VR Video Streaming
Proactive tile-based video streaming can avoid motion-to-photon latency ...
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10/30/2019
Matching Prediction to Communication and Computing in Proactive VR Video Streaming
Proactive tile-based video streaming can avoid motion-to-photon latency ...
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10/30/2019
Matching Capabilities of Prediction to Communication and Computing for Proactive VR Video Streaming
Proactive tile-based video streaming can avoid motion-to-photon latency ...
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08/14/2019
Person Re-identification in Aerial Imagery
Nowadays, with the rapid development of consumer Unmanned Aerial Vehicle...
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08/10/2019
Bayesian Loss for Crowd Count Estimation with Point Supervision
In crowd counting datasets, each person is annotated by a point, which i...
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04/17/2019
Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets
Frequent mine disasters cause a large number of casualties and property ...
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04/17/2019
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation
In recent years, the generation of conversation content based on deep ne...
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11/13/2018
Embedding Electronic Health Records for Clinical Information Retrieval
Neural network representation learning frameworks have recently shown to...
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05/20/2016