b'Yang Xiao'

research

∙ 01/02/2023

Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge

The widespread code reuse allows vulnerabilities to proliferate among a ...

Shouguo Yang, et al. ∙

research

∙ 09/19/2022

A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

We propose a simple, yet powerful approach for unsupervised object segme...

Georgy Ponimatkin, et al. ∙

research

∙ 09/15/2022

PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking

Estimating the relative pose of a new object without prior knowledge is ...

Van Nguyen Nguyen, et al. ∙

research

∙ 08/23/2022

Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling

Training deep neural network (DNN) with noisy labels is practically chal...

Boshen Zhang, et al. ∙

research

∙ 07/15/2022

Continual Learning For On-Device Environmental Sound Classification

Continuously learning new classes without catastrophic forgetting is a c...

Yang Xiao, et al. ∙

research

∙ 05/04/2022

Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification

In this paper, we ask the research question of whether all the datasets ...

Yang Xiao, et al. ∙

research

∙ 05/03/2022

CANShield: Signal-based Intrusion Detection for Controller Area Networks

Modern vehicles rely on a fleet of electronic control units (ECUs) conne...

Md Hasan Shahriar, et al. ∙

research

∙ 04/11/2022

Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness

It is critical for a keyword spotting model to have a small footprint as...

Dianwen Ng, et al. ∙

research

∙ 03/31/2022

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

We present a method that can recognize new objects and estimate their 3D...

Van Nguyen Nguyen, et al. ∙

research

∙ 03/30/2022

Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting

Catastrophic forgetting is a thorny challenge when updating keyword spot...

Yang Xiao, et al. ∙

research

∙ 02/25/2022

DataLab: A Platform for Data Analysis and Intervention

Despite data's crucial role in machine learning, most existing tools and...

Yang Xiao, et al. ∙

research

∙ 12/10/2021

Decentralized Spectrum Access System: Vision, Challenges, and a Blockchain Solution

Spectrum access system (SAS) is widely considered the de facto solution ...

Yang Xiao, et al. ∙

research

∙ 10/22/2021

1st Place Solution for the UVO Challenge on Video-based Open-World Segmentation 2021

In this report, we introduce our (pretty straightforard) two-step "detec...

Yuming Du, et al. ∙

research

∙ 10/19/2021

1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021

We describe our two-stage instance segmentation framework we use to comp...

Yuming Du, et al. ∙

research

∙ 05/12/2021

PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning

Motivated by the need of estimating the pose (viewpoint) of arbitrary ob...

Yang Xiao, et al. ∙

research

∙ 04/25/2021

Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos

The ability to localize and segment objects from unseen classes would op...

Yuming Du, et al. ∙

research

∙ 04/13/2021

EXPLAINABOARD: An Explainable Leaderboard for NLP

With the rapid development of NLP research, leaderboards have emerged as...

Pengfei Liu, et al. ∙

research

∙ 11/17/2020

Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources

Sentiment analysis of user-generated reviews or comments on products and...

Sicheng Zhao, et al. ∙

research

∙ 10/11/2020

Partial FC: Training 10 Million Identities on a Single Machine

Face recognition has been an active and vital topic among computer visio...

Xiang An, et al. ∙

research

∙ 07/23/2020

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

Detecting objects and estimating their viewpoint in images are key tasks...

Yang Xiao, et al. ∙

research

∙ 07/23/2020

Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference Application

We formalize concepts around geometric occlusion in 2D images (i.e., ign...

Xuchong Qiu, et al. ∙

research

∙ 07/11/2020

ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification

Face verification can be regarded as a 2-class fine-grained visual recog...

Fu Xiong, et al. ∙

research

∙ 05/28/2020

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

Towards 3D object tracking in point clouds, a novel point-to-box network...

Haozhe Qi, et al. ∙

research

∙ 05/12/2020

3DV: 3D Dynamic Voxel for Action Recognition in Depth Video

To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) ...

Yancheng Wang, et al. ∙

research

∙ 04/27/2020

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

We propose a meta-learning approach that learns from multiple tasks in a...

Shell Xu Hu, et al. ∙

research

∙ 03/30/2020

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

In this work, we study how well different type of approaches generalise ...

Anil Armagan, et al. ∙

research

∙ 03/19/2020

Towards Cognitive Routing based on Deep Reinforcement Learning

Routing is one of the key functions for stable operation of network infr...

Jiawei Wu, et al. ∙

research

∙ 02/20/2020

Modeling the Impact of Network Connectivity on Consensus Security of Proof-of-Work Blockchain

Blockchain, the technology behind the popular Bitcoin, is considered a "...

Yang Xiao, et al. ∙

research

∙ 08/27/2019

A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image

For 3D hand and body pose estimation task in depth image, a novel anchor...

Fu Xiong, et al. ∙

research

∙ 06/12/2019

Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects

Most deep pose estimation methods need to be trained for specific object...

Yang Xiao, et al. ∙

research

∙ 04/30/2019

Comparative evaluation of 2D feature correspondence selection algorithms

Correspondence selection aiming at seeking correct feature correspondenc...

Chen Zhao, et al. ∙

research

∙ 04/15/2019

Enforcing Private Data Usage Control with Blockchain and Attested Off-chain Contract Execution

The abundance of rich varieties of data is enabling many transformative ...

Yang Xiao, et al. ∙

research

∙ 04/08/2019

A Survey of Distributed Consensus Protocols for Blockchain Networks

Since the inception of Bitcoin, cryptocurrencies and the underlying bloc...

Yang Xiao, et al. ∙

research

∙ 02/21/2019

Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and Practices

Effective and real-time eyeblink detection is of wide-range applications...

Guilei Hu, et al. ∙

research

∙ 07/29/2018

Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification

Person re-identification is indeed a challenging visual recognition task...

Fu Xiong, et al. ∙

research

∙ 06/29/2018

Action Recognition for Depth Video using Multi-view Dynamic Images

Dynamic image is the recently emerged action representation paradigm abl...

Yang Xiao, et al. ∙

research

∙ 04/06/2018

Performance Evaluation of 3D Correspondence Grouping Algorithms

This paper presents a thorough evaluation of several widely-used 3D corr...

Jiaqi Yang, et al. ∙

research

∙ 07/07/2017

TasselNet: Counting maize tassels in the wild via local counts regression network

Accurately counting maize tassels is important for monitoring the growth...

Hao Lu, et al. ∙

Yang Xiao

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