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08/17/2022
Learn to Detect and Detect to Learn: Structure Learning and Decision Feedback for MIMO-OFDM Receive Processing
One of the major open challenges in MIMO-OFDM receive processing is how ...
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04/06/2022
Equivalence and Duality of Polycyclic Codes Associated with Trinomials over Finite Fields
In this paper, several conjectures proposed in [2] are studied, involvin...
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10/03/2021
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
In this paper, we introduce a structure-based neural network architectur...
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12/24/2020
Global Context Networks
The Non-Local Network (NLNet) presents a pioneering approach for capturi...
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08/26/2020
DRG: Dual Relation Graph for Human-Object Interaction Detection
We tackle the challenging problem of human-object interaction (HOI) dete...
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07/11/2020
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching
Significant progress has been made in Video Object Segmentation (VOS), t...
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02/16/2020
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
We address the problem of discovering 3D parts for objects in unseen cat...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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04/25/2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
The Non-Local Network (NLNet) presents a pioneering approach for capturi...
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04/25/2019
Spatial-Temporal Relation Networks for Multi-Object Tracking
Recent progress in multiple object tracking (MOT) has shown that a robus...
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11/24/2017
Deep High Dynamic Range Imaging with Large Foreground Motions
This paper proposes the first non-flow-based deep framework for high dyn...
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11/24/2017