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Learning to Recognize Patch-Wise Consistency for Deepfake Detection
We propose to detect Deepfake generated by face manipulation based on on...
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Positive-Congruent Training: Towards Regression-Free Model Updates
Reducing inconsistencies in the behavior of different versions of an AI ...
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SMOT: Single-Shot Multi Object Tracking
We present single-shot multi-object tracker (SMOT), a new tracking frame...
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Online Action Detection in Streaming Videos with Time Buffers
We formulate the problem of online temporal action detection in live str...
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3D-Aided Data Augmentation for Robust Face Understanding
Data augmentation has been highly effective in narrowing the data gap an...
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Towards causal benchmarking of bias in face analysis algorithms
Measuring algorithmic bias is crucial both to assess algorithmic fairnes...
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On Improving Temporal Consistency for Online Face Liveness Detection
In this paper, we focus on improving the online face liveness detection ...
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Motion Guided 3D Pose Estimation from Videos
We propose a new loss function, called motion loss, for the problem of m...
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Towards Backward-Compatible Representation Learning
We propose a way to learn visual features that are compatible with previ...
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Action recognition with spatial-temporal discriminative filter banks
Action recognition has seen a dramatic performance improvement in the la...
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WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
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From Trailers to Storylines: An Efficient Way to Learn from Movies
The millions of movies produced in the human history are valuable resour...
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Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Neural net classifiers trained on data with annotated class labels can a...
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Optimizing Video Object Detection via a Scale-Time Lattice
High-performance object detection relies on expensive convolutional netw...
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Dynamics of human body skeletons convey significant information for huma...
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Face Detection through Scale-Friendly Deep Convolutional Networks
In this paper, we share our experience in designing a convolutional netw...
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Temporal Segment Networks for Action Recognition in Videos
Deep convolutional networks have achieved great success for image recogn...
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UntrimmedNets for Weakly Supervised Action Recognition and Detection
Current action recognition methods heavily rely on trimmed videos for mo...
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A Pursuit of Temporal Accuracy in General Activity Detection
Detecting activities in untrimmed videos is an important but challenging...
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Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Convolutional Neural Networks (CNNs) have made remarkable progress on sc...
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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Deep convolutional networks have achieved great success for visual recog...
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CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
This paper presents the method that underlies our submission to the untr...
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Towards Good Practices for Very Deep Two-Stream ConvNets
Deep convolutional networks have achieved great success for object recog...
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DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
In this paper, we propose multi-stage and deformable deep convolutional ...
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