Huijuan Xu | DeepAI

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∙ 12/12/2022

CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection

Pedestrian detection in the wild remains a challenging problem especiall...

0 Tianliang Zhang, et al. ∙

∙ 07/24/2022

Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions

Action understanding has evolved into the era of fine granularity, as mo...

0 Zhi Li, et al. ∙

∙ 07/04/2022

Disentangled Action Recognition with Knowledge Bases

Action in video usually involves the interaction of human with objects. ...

10 Zhekun Luo, et al. ∙

∙ 07/02/2022

Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency

The knowledge graph (KG) stores a large amount of structural knowledge, ...

0 Jin Liu, et al. ∙

∙ 11/24/2020

Temporal Action Detection with Multi-level Supervision

Training temporal action detection in videos requires large amounts of l...

0 Baifeng Shi, et al. ∙

∙ 10/16/2020

Auxiliary Task Reweighting for Minimum-data Learning

Supervised learning requires a large amount of training data, limiting i...

0 Baifeng Shi, et al. ∙

∙ 04/01/2020

Spatio-Temporal Action Detection with Multi-Object Interaction

Spatio-temporal action detection in videos requires localizing the actio...

13 Huijuan Xu, et al. ∙

∙ 03/31/2020

Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning

Weakly-supervised action localization problem requires training a model ...

5 Zhekun Luo, et al. ∙

∙ 03/31/2020

Revisiting Few-shot Activity Detection with Class Similarity Control

Many interesting events in the real world are rare making preannotated m...

28 Huijuan Xu, et al. ∙

∙ 03/09/2020

A New Meta-Baseline for Few-Shot Learning

Meta-learning has become a popular framework for few-shot learning in re...

11 Yinbo Chen, et al. ∙

∙ 12/20/2019

Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks

Human action is naturally compositional: humans can easily recognize and...

12 Joanna Materzyńska, et al. ∙

∙ 12/16/2019

Learning Canonical Representations for Scene Graph to Image Generation

Generating realistic images of complex visual scenes becomes very challe...

15 Roei Herzig, et al. ∙

∙ 09/27/2019

wMAN: Weakly-supervised Moment Alignment Network for Text-based Video Segment Retrieval

Given a video and a sentence, the goal of weakly-supervised video moment...

23 Reuben Tan, et al. ∙

∙ 06/19/2019

Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing

By leveraging the concept of mobile edge computing (MEC), massive amount...

5 Lei Lei, et al. ∙

∙ 06/05/2019

Two-Stream Region Convolutional 3D Network for Temporal Activity Detection

We address the problem of temporal activity detection in continuous, unt...

2 Huijuan Xu, et al. ∙

∙ 12/25/2018

Similarity R-C3D for Few-shot Temporal Activity Detection

Many activities of interest are rare events, with only a few labeled exa...

4 Huijuan Xu, et al. ∙

∙ 12/04/2018

Classifying Collisions with Spatio-Temporal Action Graph Networks

Events defined by the interaction of objects in a scene often are of cri...

0 Roei Herzig, et al. ∙

∙ 12/03/2018

A Two-Stream Variational Adversarial Network for Video Generation

Video generation is an inherently challenging task, as it requires the m...

0 Ximeng Sun, et al. ∙

∙ 04/13/2018

Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning

We propose a novel method capable of retrieving clips from untrimmed vid...

0 Huijuan Xu, et al. ∙

∙ 02/28/2018

Joint Event Detection and Description in Continuous Video Streams

As a fine-grained video understanding task, dense video captioning invol...

0 Huijuan Xu, et al. ∙

∙ 01/28/2018

Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection

Activity detection is a fundamental problem in computer vision. Detectin...

0 Yancheng Bai, et al. ∙

∙ 03/22/2017

R-C3D: Region Convolutional 3D Network for Temporal Activity Detection

We address the problem of activity detection in continuous, untrimmed vi...

0 Huijuan Xu, et al. ∙

∙ 11/17/2015

Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering

We address the problem of Visual Question Answering (VQA), which require...

0 Huijuan Xu, et al. ∙

∙ 12/15/2014

Translating Videos to Natural Language Using Deep Recurrent Neural Networks

Solving the visual symbol grounding problem has long been a goal of arti...

0 Subhashini Venugopalan, et al. ∙

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