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09/01/2022
Improved Sparse Vector Code Based on Optimized Spreading Matrix for Short-Packet URLLC in mMTC
Recently, the sparse vector code (SVC) is emerging as a promising soluti...
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07/26/2022
Data-aided Active User Detection with False Alarm Correction in Grant-Free Transmission
In most existing grant-free (GF) studies, the two key tasks, namely acti...
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07/12/2022
Dynamic Proposals for Efficient Object Detection
Object detection is a basic computer vision task to loccalize and catego...
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07/01/2022
Grant-Free Transmission by LDPC Matrix Mapping and Integrated Cover-MPA Detector
In this paper, a novel transceiver architecture is proposed to simultane...
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08/25/2021
Robust High-Resolution Video Matting with Temporal Guidance
We introduce a robust, real-time, high-resolution human video matting me...
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05/16/2021
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization
Post-training quantization methods use a set of calibration data to comp...
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04/08/2021
Progressive Temporal Feature Alignment Network for Video Inpainting
Video inpainting aims to fill spatio-temporal "corrupted" regions with p...
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03/22/2021
DeepViT: Towards Deeper Vision Transformer
Vision transformers (ViTs) have been successfully applied in image class...
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03/22/2021
AutoSpace: Neural Architecture Search with Less Human Interference
Current neural architecture search (NAS) algorithms still require expert...
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12/07/2020
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
Video instance segmentation is a complex task in which we need to detect...
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07/04/2020
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
Model quantization helps to reduce model size and latency of deep neural...
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04/04/2020
Neural Architecture Search for Lightweight Non-Local Networks
Non-Local (NL) blocks have been widely studied in various vision tasks. ...
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12/21/2019
Towards Efficient Training for Neural Network Quantization
Quantization reduces computation costs of neural networks but suffers fr...
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12/20/2019
AdaBits: Neural Network Quantization with Adaptive Bit-Widths
Deep neural networks with adaptive configurations have gained increasing...
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12/20/2019
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Designing of search space is a critical problem for neural architecture ...
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07/30/2019
Weakly Supervised Body Part Parsing with Pose based Part Priors
Human body part parsing refers to the task of predicting the semantic se...
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05/12/2019
Video Instance Segmentation
In this paper we present a new computer vision task, named video instanc...
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04/19/2019
Context-Aware Zero-Shot Recognition
We present a novel problem setting in zero-shot learning, zero-shot obje...
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04/08/2019
Streamlined Dense Video Captioning
Dense video captioning is an extremely challenging task since accurate a...
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12/21/2018
Slimmable Neural Networks
We present a simple and general method to train a single neural network ...
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09/06/2018
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Learning long-term spatial-temporal features are critical for many video...
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09/03/2018
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
Learning long-term spatial-temporal features are critical for many video...
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02/04/2018
Efficient Video Object Segmentation via Network Modulation
Video object segmentation targets at segmenting a specific object throug...
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11/21/2016
Dense Captioning with Joint Inference and Visual Context
Dense captioning is a newly emerging computer vision topic for understan...
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06/30/2015