b'Yuanjun Xiong'

research

∙ 09/27/2022

Towards Regression-Free Neural Networks for Diverse Compute Platforms

With the shift towards on-device deep learning, ensuring a consistent be...

0 Rahul Duggal, et al. ∙

research

∙ 03/31/2022

MeMOT: Multi-Object Tracking with Memory

We propose an online tracking algorithm that performs the object detecti...

6 Jiarui Cai, et al. ∙

research

∙ 03/31/2022

Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models

We propose a memory efficient method, named Stochastic Backpropagation (...

0 Feng Cheng, et al. ∙

research

∙ 01/06/2022

Contrastive Neighborhood Alignment

We present Contrastive Neighborhood Alignment (CNA), a manifold learning...

14 Pengkai Zhu, et al. ∙

research

∙ 07/07/2021

Long Short-Term Transformer for Online Action Detection

In this paper, we present Long Short-term TRansformer (LSTR), a new temp...

18 Mingze Xu, et al. ∙

research

∙ 07/06/2021

Semi-TCL: Semi-Supervised Track Contrastive Representation Learning

Online tracking of multiple objects in videos requires strong capacity o...

0 Wei Li, et al. ∙

research

∙ 07/03/2021

Learning Hierarchical Graph Neural Networks for Image Clustering

We propose a hierarchical graph neural network (GNN) model that learns h...

5 Yifan Xing, et al. ∙

research

∙ 06/08/2021

Harnessing Unrecognizable Faces for Face Recognition

The common implementation of face recognition systems as a cascade of a ...

1 Siqi Deng, et al. ∙

research

∙ 05/13/2021

Compatibility-aware Heterogeneous Visual Search

We tackle the problem of visual search under resource constraints. Exist...

11 Rahul Duggal, et al. ∙

research

∙ 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...

6 Yuqing Xie, et al. ∙

research

∙ 02/25/2021

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

As facial interaction systems are prevalently deployed, security and rel...

0 Yuanhan Zhang, et al. ∙

research

∙ 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 ...

12 Liming Jiang, et al. ∙

research

∙ 12/16/2020

Learning to Recognize Patch-Wise Consistency for Deepfake Detection

We propose to detect Deepfake generated by face manipulation based on on...

3 Tianchen Zhao, et al. ∙

research

∙ 11/18/2020

Positive-Congruent Training: Towards Regression-Free Model Updates

Reducing inconsistencies in the behavior of different versions of an AI ...

10 Sijie Yan, et al. ∙

research

∙ 10/30/2020

SMOT: Single-Shot Multi Object Tracking

We present single-shot multi-object tracker (SMOT), a new tracking frame...

0 Wei Li, et al. ∙

research

∙ 10/06/2020

Online Action Detection in Streaming Videos with Time Buffers

We formulate the problem of online temporal action detection in live str...

6 Bowen Zhang, et al. ∙

research

∙ 10/03/2020

3D-Aided Data Augmentation for Robust Face Understanding

Data augmentation has been highly effective in narrowing the data gap an...

0 Yifan Xing, et al. ∙

research

∙ 07/13/2020

Towards causal benchmarking of bias in face analysis algorithms

Measuring algorithmic bias is crucial both to assess algorithmic fairnes...

0 Guha Balakrishnan, et al. ∙

research

∙ 06/11/2020

On Improving Temporal Consistency for Online Face Liveness Detection

In this paper, we focus on improving the online face liveness detection ...

0 Xiang Xu, et al. ∙

research

∙ 04/29/2020

Motion Guided 3D Pose Estimation from Videos

We propose a new loss function, called motion loss, for the problem of m...

0 Jingbo Wang, et al. ∙

research

∙ 03/26/2020

Towards Backward-Compatible Representation Learning

We propose a way to learn visual features that are compatible with previ...

4 Yantao Shen, et al. ∙

research

∙ 08/20/2019

Action recognition with spatial-temporal discriminative filter banks

Action recognition has seen a dramatic performance improvement in the la...

26 Brais Martinez, et al. ∙

research

∙ 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...

6 Chen Change Loy, et al. ∙

research

∙ 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...

2 Qingqiu Huang, et al. ∙

research

∙ 05/05/2018

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Neural net classifiers trained on data with annotated class labels can a...

0 Zhirong Wu, et al. ∙

research

∙ 04/16/2018

Optimizing Video Object Detection via a Scale-Time Lattice

High-performance object detection relies on expensive convolutional netw...

0 Kai Chen, et al. ∙

research

∙ 01/23/2018

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Dynamics of human body skeletons convey significant information for huma...

0 Sijie Yan, et al. ∙

research

∙ 06/09/2017

Face Detection through Scale-Friendly Deep Convolutional Networks

In this paper, we share our experience in designing a convolutional netw...

0 Shuo Yang, et al. ∙

research

∙ 05/08/2017

Temporal Segment Networks for Action Recognition in Videos

Deep convolutional networks have achieved great success for image recogn...

0 Limin Wang, et al. ∙

research

∙ 03/09/2017

UntrimmedNets for Weakly Supervised Action Recognition and Detection

Current action recognition methods heavily rely on trimmed videos for mo...

0 Limin Wang, et al. ∙

research

∙ 03/08/2017

A Pursuit of Temporal Accuracy in General Activity Detection

Detecting activities in untrimmed videos is an important but challenging...

0 Yuanjun Xiong, et al. ∙

research

∙ 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...

0 Limin Wang, et al. ∙

research

∙ 08/02/2016

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Deep convolutional networks have achieved great success for visual recog...

0 Limin Wang, et al. ∙

research

∙ 08/02/2016

CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016

This paper presents the method that underlies our submission to the untr...

0 Yuanjun Xiong, et al. ∙

research

∙ 07/08/2015

Towards Good Practices for Very Deep Two-Stream ConvNets

Deep convolutional networks have achieved great success for object recog...

0 Limin Wang, et al. ∙

research

∙ 09/11/2014

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

In this paper, we propose multi-stage and deformable deep convolutional ...

0 Wanli Ouyang, et al. ∙

Yuanjun Xiong

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