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07/16/2023
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment
This paper studies distributed online learning under Byzantine attacks. ...
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06/29/2023
Joint Latency-Energy Minimization for Fog-Assisted Wireless IoT Networks
This work aims to present a joint resource allocation method for a fog-a...
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10/29/2022
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks
In distributed learning systems, robustness issues may arise from two so...
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08/08/2022
Two-Stream Networks for Object Segmentation in Videos
Existing matching-based approaches perform video object segmentation (VO...
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08/04/2022
QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM
This paper focuses on online kernel learning over a decentralized networ...
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05/27/2022
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
We present a simple yet effective fully convolutional one-stage 3D objec...
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04/07/2022
Adaptive-Gravity: A Defense Against Adversarial Samples
This paper presents a novel model training solution, denoted as Adaptive...
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01/19/2022
Poseur: Direct Human Pose Regression with Transformers
We propose a direct, regression-based approach to 2D human pose estimati...
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10/18/2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
As a promising distributed learning technology, analog aggregation based...
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05/29/2021
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
We propose a fully convolutional multi-person pose estimation framework ...
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04/28/2021
Twins: Revisiting Spatial Attention Design in Vision Transformers
Very recently, a variety of vision transformer architectures for dense p...
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04/08/2021
Joint Optimization of Communications and Federated Learning Over the Air
Federated learning (FL) is an attractive paradigm for making use of rich...
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03/30/2021
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
For distributed learning among collaborative users, this paper develops ...
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03/29/2021
TFPose: Direct Human Pose Estimation with Transformers
We propose a human pose estimation framework that solves the task in the...
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02/22/2021
Do We Really Need Explicit Position Encodings for Vision Transformers?
Almost all visual transformers such as ViT or DeiT rely on predefined po...
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02/05/2021
Instance and Panoptic Segmentation Using Conditional Convolutions
We propose a simple yet effective framework for instance and panoptic se...
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12/03/2020
BoxInst: High-Performance Instance Segmentation with Box Annotations
We present a high-performance method that can achieve mask-level instanc...
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11/19/2020
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions
Recently, fully-convolutional one-stage networks have shown superior per...
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09/18/2020
The Capacity of Multi-user Private Information Retrieval for Computationally Limited Databases
We present a private information retrieval (PIR) scheme that allows a us...
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06/14/2020
FCOS: A simple and strong anchor-free object detector
In computer vision, object detection is one of most important tasks, whi...
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03/26/2020
Mask Encoding for Single Shot Instance Segmentation
To date, instance segmentation is dominated by twostage methods, as pion...
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03/12/2020
Conditional Convolutions for Instance Segmentation
We propose a simple yet effective instance segmentation framework, terme...
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02/03/2020
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
We present a method for depth estimation with monocular images, which ca...
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01/06/2020
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
3D point cloud semantic and instance segmentation is crucial and fundame...
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01/02/2020
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
Instance segmentation is one of the fundamental vision tasks. Recently, ...
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11/18/2019
DirectPose: Direct End-to-End Multi-Person Pose Estimation
We propose the first direct end-to-end multi-person pose estimation fram...
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10/17/2019
Convolutional Character Networks
Recent progress has been made on developing a unified framework for join...
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09/15/2019
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
In this paper, we propose a communication- and computation-efficient alg...
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06/11/2019
NAS-FCOS: Fast Neural Architecture Search for Object Detection
The success of deep neural networks relies on significant architecture e...
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06/06/2019
A Class of Distributed Event-Triggered Average Consensus Algorithms for Multi-Agent Systems
This paper proposes a class of distributed event-triggered algorithms th...
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04/02/2019
FCOS: Fully Convolutional One-Stage Object Detection
We propose a fully convolutional one-stage object detector (FCOS) to sol...
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03/12/2019
Knowledge Adaptation for Efficient Semantic Segmentation
Both accuracy and efficiency are of significant importance to the task o...
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03/05/2019
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Recent semantic segmentation methods exploit encoder-decoder architectur...
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03/09/2018
Single Shot TextSpotter with Explicit Alignment and Attention
Text detection and recognition in natural images have long been consider...
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09/12/2016