Yu-Gang Jiang

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Computer Science and Director of Shanghai Engineering Research Center for Video Technology and System at Fudan University, Chin

A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization

Emotional content is a crucial ingredient in user-generated videos. Howe...
12/21/2018 ∙ by Guoyun Tu, et al. ∙ 24 ∙ share

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Clean-Label Backdoor Attacks on Video Recognition Models

Deep neural networks (DNNs) are vulnerable to backdoor attacks which can...
03/06/2020 ∙ by Shihao Zhao, et al. ∙ 11 ∙ share

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LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition

This paper presents LiteEval, a simple yet effective coarse-to-fine fram...
12/03/2019 ∙ by Zuxuan Wu, et al. ∙ 9 ∙ share

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Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Affective computing and cognitive theory are widely used in modern human...
01/17/2020 ∙ by Wenxuan Wang, et al. ∙ 9 ∙ share

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Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

We propose an end-to-end deep learning architecture that produces a 3D s...
04/05/2018 ∙ by Nanyang Wang, et al. ∙ 8 ∙ share

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Long-Term Cloth-Changing Person Re-identification

Person re-identification (Re-ID) aims to match a target person across ca...
05/26/2020 ∙ by Xuelin Qian, et al. ∙ 5 ∙ share

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Object Detection from Scratch with Deep Supervision

We propose Deeply Supervised Object Detectors (DSOD), an object detectio...
09/25/2018 ∙ by Zhiqiang Shen, et al. ∙ 4 ∙ share

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Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness

Evaluating the robustness of a defense model is a challenging task in ad...
06/24/2020 ∙ by Linxi Jiang, et al. ∙ 1 ∙ share

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Left-Right Skip-DenseNets for Coarse-to-Fine Object Categorization

Inspired by the recent neuroscience studies on the left-right asymmetry ...
10/28/2017 ∙ by Changmao Cheng, et al. ∙ 0 ∙ share

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Multi-scale Deep Learning Architectures for Person Re-identification

Person Re-identification (re-id) aims to match people across non-overlap...
09/15/2017 ∙ by Xuelin Qian, et al. ∙ 0 ∙ share

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DSOD: Learning Deeply Supervised Object Detectors from Scratch

We present Deeply Supervised Object Detector (DSOD), a framework that ca...
08/03/2017 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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Learning Fashion Compatibility with Bidirectional LSTMs

The ubiquity of online fashion shopping demands effective recommendation...
07/18/2017 ∙ by Xintong Han, et al. ∙ 0 ∙ share

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Aggregating Frame-level Features for Large-Scale Video Classification

This paper introduces the system we developed for the Google Cloud & You...
07/04/2017 ∙ by Shaoxiang Chen, et al. ∙ 0 ∙ share

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Weakly Supervised Dense Video Captioning

This paper focuses on a novel and challenging vision task, dense video c...
04/05/2017 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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Iterative Object and Part Transfer for Fine-Grained Recognition

The aim of fine-grained recognition is to identify sub-ordinate categori...
03/29/2017 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization

Emotional content is a key element in user-generated videos. However, it...
11/16/2015 ∙ by Baohan Xu, et al. ∙ 0 ∙ share

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Deep Learning for Video Classification and Captioning

Accelerated by the tremendous increase in Internet bandwidth and storage...
09/22/2016 ∙ by Zuxuan Wu, et al. ∙ 0 ∙ share

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The THUMOS Challenge on Action Recognition for Videos "in the Wild"

Automatically recognizing and localizing wide ranges of human actions ha...
04/21/2016 ∙ by Haroon Idrees, et al. ∙ 0 ∙ share

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Evaluating Two-Stream CNN for Video Classification

Videos contain very rich semantic information. Traditional hand-crafted ...
04/08/2015 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification

Classifying videos according to content semantics is an important proble...
04/07/2015 ∙ by Zuxuan Wu, et al. ∙ 0 ∙ share

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Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks

In this paper, we study the challenging problem of categorizing videos a...
02/25/2015 ∙ by Yu-Gang Jiang, et al. ∙ 0 ∙ share

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Pose-Normalized Image Generation for Person Re-identification

Person Re-identification (re-id) faces two major challenges: the lack of...
12/06/2017 ∙ by Xuelin Qian, et al. ∙ 0 ∙ share

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Learning to score and summarize figure skating sport videos

This paper focuses on fully understanding the figure skating sport video...
02/08/2018 ∙ by Bing Zhang, et al. ∙ 0 ∙ share

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Semantic Feature Augmentation in Few-shot Learning

A fundamental problem with few-shot learning is the scarcity of data in ...
04/15/2018 ∙ by Zitian Chen, et al. ∙ 0 ∙ share

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Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging

Image retagging aims to improve tag quality of social images by refining...
04/12/2018 ∙ by Jinhui Tang, et al. ∙ 0 ∙ share

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Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification

Videos are inherently multimodal. This paper studies the problem of how ...
06/14/2017 ∙ by Yu-Gang Jiang, et al. ∙ 0 ∙ share

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Recurrent Fusion Network for Image Captioning

Recently, much advance has been made in image captioning, and an encoder...
07/26/2018 ∙ by Wenhao Jiang, et al. ∙ 0 ∙ share

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Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks

Recent studies on unsupervised image-to-image translation have made rema...
07/23/2018 ∙ by Minjun Li, et al. ∙ 0 ∙ share

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Learning to score the figure skating sports videos

This paper targets at learning to score the figure skating sports videos...
02/08/2018 ∙ by Bing Zhang, et al. ∙ 0 ∙ share

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Recent Advances in Zero-shot Recognition

With the recent renaissance of deep convolution neural networks, encoura...
10/13/2017 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Non-local NetVLAD Encoding for Video Classification

This paper describes our solution for the 2^nd YouTube-8M video understa...
09/29/2018 ∙ by Yongyi Tang, et al. ∙ 0 ∙ share

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Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective

This paper studies the problem of domain division problem which aims to ...
10/17/2018 ∙ by HanZe Dong, et al. ∙ 0 ∙ share

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Composite Binary Decomposition Networks

Binary neural networks have great resource and computing efficiency, whi...
11/16/2018 ∙ by You Qiaoben, et al. ∙ 0 ∙ share

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Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network

Sketch has been employed as an effective communicative tool to express t...
11/28/2018 ∙ by Peng Lu, et al. ∙ 0 ∙ share

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NAIS: Neural Attentive Item Similarity Model for Recommendation

Item-to-item collaborative filtering (aka. item-based CF) has been long ...
09/19/2018 ∙ by Xiangnan He, et al. ∙ 0 ∙ share

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Black-box Adversarial Attacks on Video Recognition Models

Deep neural networks (DNNs) are known for their vulnerability to adversa...
04/10/2019 ∙ by Linxi Jiang, et al. ∙ 0 ∙ share

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Heuristic Black-box Adversarial Attacks on Video Recognition Models

We study the problem of attacking video recognition models in the black-...
11/21/2019 ∙ by Zhipeng Wei, et al. ∙ 0 ∙ share

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Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt

Previous researches of sketches often considered sketches in pixel forma...
05/19/2020 ∙ by Hangyu Lin, et al. ∙ 0 ∙ share

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Yu-Gang Jiang

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