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09/27/2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
With the shift towards on-device deep learning, ensuring a consistent be...
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03/31/2022
MeMOT: Multi-Object Tracking with Memory
We propose an online tracking algorithm that performs the object detecti...
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03/31/2022
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
We propose a memory efficient method, named Stochastic Backpropagation (...
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01/06/2022
Contrastive Neighborhood Alignment
We present Contrastive Neighborhood Alignment (CNA), a manifold learning...
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07/07/2021
Long Short-Term Transformer for Online Action Detection
In this paper, we present Long Short-term TRansformer (LSTR), a new temp...
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07/06/2021
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Online tracking of multiple objects in videos requires strong capacity o...
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07/03/2021
Learning Hierarchical Graph Neural Networks for Image Clustering
We propose a hierarchical graph neural network (GNN) model that learns h...
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06/08/2021
Harnessing Unrecognizable Faces for Face Recognition
The common implementation of face recognition systems as a cascade of a ...
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05/13/2021
Compatibility-aware Heterogeneous Visual Search
We tackle the problem of visual search under resource constraints. Exist...
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05/07/2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
Behavior of deep neural networks can be inconsistent between different v...
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02/25/2021
CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
As facial interaction systems are prevalently deployed, security and rel...
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02/18/2021
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
This paper reports methods and results in the DeeperForensics Challenge ...
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12/16/2020
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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11/18/2020
Positive-Congruent Training: Towards Regression-Free Model Updates
Reducing inconsistencies in the behavior of different versions of an AI ...
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10/30/2020
SMOT: Single-Shot Multi Object Tracking
We present single-shot multi-object tracker (SMOT), a new tracking frame...
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10/06/2020
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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10/03/2020
3D-Aided Data Augmentation for Robust Face Understanding
Data augmentation has been highly effective in narrowing the data gap an...
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07/13/2020
Towards causal benchmarking of bias in face analysis algorithms
Measuring algorithmic bias is crucial both to assess algorithmic fairnes...
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06/11/2020
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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04/29/2020
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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03/26/2020
Towards Backward-Compatible Representation Learning
We propose a way to learn visual features that are compatible with previ...
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08/20/2019
Action recognition with spatial-temporal discriminative filter banks
Action recognition has seen a dramatic performance improvement in the la...
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02/19/2019
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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06/14/2018
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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05/05/2018
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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04/16/2018
Optimizing Video Object Detection via a Scale-Time Lattice
High-performance object detection relies on expensive convolutional netw...
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01/23/2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Dynamics of human body skeletons convey significant information for huma...
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06/09/2017
Face Detection through Scale-Friendly Deep Convolutional Networks
In this paper, we share our experience in designing a convolutional netw...
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05/08/2017
Temporal Segment Networks for Action Recognition in Videos
Deep convolutional networks have achieved great success for image recogn...
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03/09/2017
UntrimmedNets for Weakly Supervised Action Recognition and Detection
Current action recognition methods heavily rely on trimmed videos for mo...
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03/08/2017
A Pursuit of Temporal Accuracy in General Activity Detection
Detecting activities in untrimmed videos is an important but challenging...
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10/04/2016
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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08/02/2016
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Deep convolutional networks have achieved great success for visual recog...
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08/02/2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
This paper presents the method that underlies our submission to the untr...
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07/08/2015
Towards Good Practices for Very Deep Two-Stream ConvNets
Deep convolutional networks have achieved great success for object recog...
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09/11/2014