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09/20/2023
Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
Deepfake has taken the world by storm, triggering a trust crisis. Curren...
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08/03/2023
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
Electrocardiogram (ECG) is a widely used diagnostic tool for detecting h...
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07/08/2023
Autonomy 2.0: The Quest for Economies of Scale
With the advancement of robotics and AI technologies in the past decade,...
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07/02/2023
Query-Efficient Decision-based Black-Box Patch Attack
Deep neural networks (DNNs) have been showed to be highly vulnerable to ...
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05/18/2023
Towards Generalizable Data Protection With Transferable Unlearnable Examples
Artificial Intelligence (AI) is making a profound impact in almost every...
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05/18/2023
Re-thinking Data Availablity Attacks Against Deep Neural Networks
The unauthorized use of personal data for commercial purposes and the cl...
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05/18/2023
Content-based Unrestricted Adversarial Attack
Unrestricted adversarial attacks typically manipulate the semantic conte...
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12/23/2022
Graph Federated Learning with Hidden Representation Sharing
Learning on Graphs (LoG) is widely used in multi-client systems when eac...
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12/04/2022
Learning Bifunctional Push-grasping Synergistic Strategy for Goal-agnostic and Goal-oriented Tasks
Both goal-agnostic and goal-oriented tasks have practical value for robo...
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11/27/2022
Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods
With the popularity of cryptocurrencies and the remarkable development o...
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09/01/2022
Federated Learning with Label Distribution Skew via Logits Calibration
Traditional federated optimization methods perform poorly with heterogen...
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07/25/2022
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations
While fine-tuning based methods for few-shot object detection have achie...
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07/22/2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection
Most of existing methods for few-shot object detection follow the fine-t...
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05/12/2022
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition
Recently, Flat-LAttice Transformer (FLAT) has achieved great success in ...
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05/03/2022
Copy Motion From One to Another: Fake Motion Video Generation
One compelling application of artificial intelligence is to generate a v...
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03/29/2022
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
Multi-frame human pose estimation has long been a compelling and fundame...
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03/16/2022
Towards Practical Certifiable Patch Defense with Vision Transformer
Patch attacks, one of the most threatening forms of physical attack in a...
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02/23/2022
Residual Bootstrap Exploration for Stochastic Linear Bandit
We propose a new bootstrap-based online algorithm for stochastic linear ...
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01/28/2022
Dual Learning Music Composition and Dance Choreography
Music and dance have always co-existed as pillars of human activities, c...
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01/07/2022
Motion Prediction via Joint Dependency Modeling in Phase Space
Motion prediction is a classic problem in computer vision, which aims at...
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12/30/2021
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction
Predicting human motion from historical pose sequence is crucial for a m...
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12/03/2021
Music-to-Dance Generation with Optimal Transport
Dance choreography for a piece of music is a challenging task, having to...
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07/12/2021
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
Recently, word enhancement has become very popular for Chinese Named Ent...
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03/17/2021
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
Human motion prediction from historical pose sequence is at the core of ...
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03/12/2021
Deep Dual Consecutive Network for Human Pose Estimation
Multi-frame human pose estimation in complicated situations is challengi...
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09/05/2019
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
Deep neural network (DNN) quantization converting floating-point (FP) da...
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03/20/2019
Convolution with even-sized kernels and symmetric padding
Compact convolutional neural networks gain efficiency mainly through dep...
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05/15/2018
Robust and Efficient Graph Correspondence Transfer for Person Re-identification
Spatial misalignment caused by variations in poses and viewpoints is one...
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04/01/2018
Graph Correspondence Transfer for Person Re-identification
In this paper, we propose a graph correspondence transfer (GCT) approach...
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02/27/2018
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
Batch Normalization (BN) has been proven to be quite effective at accele...
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02/13/2018
Training and Inference with Integers in Deep Neural Networks
Researches on deep neural networks with discrete parameters and their de...
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11/27/2017