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08/19/2023
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces
The exploitation of Deepfake techniques for malicious intentions has dri...
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08/10/2023
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
The commonly adopted detect-then-match approach to registration finds di...
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06/28/2023
Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction
Surface reconstruction from raw point clouds has been studied for decade...
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06/23/2023
Decoupled Diffusion Models with Explicit Transition Probability
Recent diffusion probabilistic models (DPMs) have shown remarkable abili...
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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 ...
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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...
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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 ...
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03/14/2023
Rotation-Invariant Transformer for Point Cloud Matching
The intrinsic rotation invariance lies at the core of matching point clo...
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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...
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03/02/2023
Task-Specific Context Decoupling for Object Detection
Classification and localization are two main sub-tasks in object detecti...
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09/27/2022
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
Successful point cloud registration relies on accurate correspondences e...
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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...
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02/14/2022
Geometric Transformer for Fast and Robust Point Cloud Registration
We study the problem of extracting accurate correspondences for point cl...
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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...
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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...
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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...
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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...
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06/28/2020
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
Data sparsity is an inherent challenge in the recommender systems, where...
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06/28/2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Graph Convolutional Network (GCN) is widely used in graph data learning ...
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05/02/2019
Spectrum-enhanced Pairwise Learning to Rank
To enhance the performance of the recommender system, side information i...
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05/02/2019
Visually-aware Recommendation with Aesthetic Features
Visual information plays a critical role in human decision-making proces...
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05/02/2019
Efficient Contour Computation of Group-based Skyline
Skyline, aiming at finding a Pareto optimal subset of points in a multi-...
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03/28/2019
ThunderNet: Towards Real-time Generic Object Detection
Real-time generic object detection on mobile platforms is a crucial but ...
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09/16/2018
Aesthetic-based Clothing Recommendation
Recently, product images have gained increasing attention in clothing re...
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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...
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03/27/2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Depthwise convolutions provide significant performance benefits owing to...
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03/24/2018
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Compact neural networks are inclined to exploit "sparsely-connected" con...
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02/11/2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
We present Fast-Downsampling MobileNet (FD-MobileNet), an efficient and ...
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01/31/2018
Visually Explainable Recommendation
Images account for a significant part of user decisions in many applicat...
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05/13/2016