Zheng Qin | DeepAI

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∙ 03/18/2023

MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking

The main challenge of Multi-Object Tracking (MOT) lies in maintaining a ...

0 Zheng Qin, et al. ∙

∙ 03/17/2023

Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration

We study the problem of outlier correspondence pruning for non-rigid poi...

0 Zheng Qin, et al. ∙

∙ 03/15/2023

Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement

Template matching is a fundamental task in computer vision and has been ...

0 Zhirui Gao, et al. ∙

∙ 03/14/2023

Rotation-Invariant Transformer for Point Cloud Matching

The intrinsic rotation invariance lies at the core of matching point clo...

0 Hao Yu, et al. ∙

∙ 03/03/2023

Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection

Deepfake techniques have been widely used for malicious purposes, prompt...

0 Juan Hu, et al. ∙

∙ 03/02/2023

Task-Specific Context Decoupling for Object Detection

Classification and localization are two main sub-tasks in object detecti...

0 Jiayuan Zhuang, et al. ∙

∙ 09/27/2022

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration

Successful point cloud registration relies on accurate correspondences e...

7 Hao Yu, et al. ∙

∙ 04/28/2022

Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast

We present an approach to learn voice-face representations from the talk...

7 Boqing Zhu, et al. ∙

∙ 02/14/2022

Geometric Transformer for Fast and Robust Point Cloud Registration

We study the problem of extracting accurate correspondences for point cl...

1 Zheng Qin, et al. ∙

∙ 01/17/2021

A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence

Log-based cyber threat hunting has emerged as an important solution to c...

0 Peng Gao, et al. ∙

∙ 10/26/2020

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence

Log-based cyber threat hunting has emerged as an important solution to c...

15 Peng Gao, et al. ∙

∙ 10/22/2020

Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning

The future of mobility-as-a-Service (Maas)should embrace an integrated s...

0 Shen Ren, et al. ∙

∙ 06/28/2020

Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning

Implicit feedback data is extensively explored in recommendation as it i...

0 Wenhui Yu, et al. ∙

∙ 06/28/2020

Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation

Data sparsity is an inherent challenge in the recommender systems, where...

0 Wenhui Yu, et al. ∙

∙ 06/28/2020

Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters

Graph Convolutional Network (GCN) is widely used in graph data learning ...

0 Wenhui Yu, et al. ∙

∙ 05/02/2019

Spectrum-enhanced Pairwise Learning to Rank

To enhance the performance of the recommender system, side information i...

0 Wenhui Yu, et al. ∙

∙ 05/02/2019

Visually-aware Recommendation with Aesthetic Features

Visual information plays a critical role in human decision-making proces...

0 Wenhui Yu, et al. ∙

∙ 05/02/2019

Efficient Contour Computation of Group-based Skyline

Skyline, aiming at finding a Pareto optimal subset of points in a multi-...

0 Wenhui Yu, et al. ∙

∙ 03/28/2019

ThunderNet: Towards Real-time Generic Object Detection

Real-time generic object detection on mobile platforms is a crucial but ...

22 Zheng Qin, et al. ∙

∙ 09/16/2018

Aesthetic-based Clothing Recommendation

Recently, product images have gained increasing attention in clothing re...

0 Wenhui Yu, et al. ∙

∙ 04/10/2018

Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors

Modern object detectors usually suffer from low accuracy issues, as fore...

0 Hao Yu, et al. ∙

∙ 03/27/2018

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions

Depthwise convolutions provide significant performance benefits owing to...

0 Zheng Qin, et al. ∙

∙ 03/24/2018

Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications

Compact neural networks are inclined to exploit "sparsely-connected" con...

0 Zheng Qin, et al. ∙

∙ 02/11/2018

FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy

We present Fast-Downsampling MobileNet (FD-MobileNet), an efficient and ...

0 Zheng Qin, et al. ∙

∙ 01/31/2018

Visually Explainable Recommendation

Images account for a significant part of user decisions in many applicat...

0 Xu Chen, et al. ∙

∙ 05/13/2016

Transfer Hashing with Privileged Information

Most existing learning to hash methods assume that there are sufficient ...

0 Joey Tianyi Zhou, et al. ∙