Houqiang Li

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Professor and Doctoral tutor of the Department of Electronic Engineering and Information Science at the University of Science and Technology of China

Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training

The pre-trained neural models have recently achieved impressive performa...
04/19/2021 ∙ by Chenyi Lei, et al. ∙ 0 ∙ share

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TransVG: End-to-End Visual Grounding with Transformers

In this paper, we present a neat yet effective transformer-based framewo...
04/17/2021 ∙ by Jiajun Deng, et al. ∙ 0 ∙ share

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ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation

Now, the pre-training technique is ubiquitous in natural language proces...
04/16/2021 ∙ by Weizhen Qi, et al. ∙ 0 ∙ share

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Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) targets recognizing new categories...
04/05/2021 ∙ by Chaoqun Wang, et al. ∙ 0 ∙ share

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Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE

Given an incomplete image without additional constraint, image inpaintin...
03/18/2021 ∙ by Jialun Peng, et al. ∙ 5 ∙ share

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IOT: Instance-wise Layer Reordering for Transformer Structures

With sequentially stacked self-attention, (optional) encoder-decoder att...
03/05/2021 ∙ by Jinhua Zhu, et al. ∙ 0 ∙ share

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Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

Recent advances on 3D object detection heavily rely on how the 3D data a...
12/31/2020 ∙ by Jiajun Deng, et al. ∙ 0 ∙ share

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Contrastive Transformation for Self-supervised Correspondence Learning

In this paper, we focus on the self-supervised learning of visual corres...
12/09/2020 ∙ by Ning Wang, et al. ∙ 14 ∙ share

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Unsupervised Pre-training for Person Re-identification

In this paper, we present a large scale unlabeled person re-identificati...
12/07/2020 ∙ by Dengpan Fu, et al. ∙ 5 ∙ share

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Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition

Skeleton-based human action recognition has attracted much attention wit...
11/26/2020 ∙ by Zhen Huang, et al. ∙ 0 ∙ share

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Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

Contrastive learning has achieved great success in self-supervised visua...
11/19/2020 ∙ by Xinyue Huo, et al. ∙ 5 ∙ share

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Can Semantic Labels Assist Self-Supervised Visual Representation Learning?

Recently, contrastive learning has largely advanced the progress of unsu...
11/17/2020 ∙ by Longhui Wei, et al. ∙ 0 ∙ share

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ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine

In a sponsored search engine, generative retrieval models are recently p...
10/21/2020 ∙ by Weizhen Qi, et al. ∙ 9 ∙ share

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Masked Contrastive Representation Learning for Reinforcement Learning

Improving sample efficiency is a key research problem in reinforcement l...
10/15/2020 ∙ by Jinhua Zhu, et al. ∙ 0 ∙ share

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Boosting Continuous Sign Language Recognition via Cross Modality Augmentation

Continuous sign language recognition (SLR) deals with unaligned video-te...
10/11/2020 ∙ by Junfu Pu, et al. ∙ 0 ∙ share

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Improving Person Re-identification with Iterative Impression Aggregation

Our impression about one person often updates after we see more aspects ...
09/21/2020 ∙ by Dengpan Fu, et al. ∙ 0 ∙ share

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Global-local Enhancement Network for NMFs-aware Sign Language Recognition

Sign language recognition (SLR) is a challenging problem, involving comp...
08/24/2020 ∙ by Hezhen Hu, et al. ∙ 0 ∙ share

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Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation

Existing person re-identification methods rely on the visual sensor to c...
08/10/2020 ∙ by Yiheng Liu, et al. ∙ 0 ∙ share

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Unsupervised Deep Representation Learning for Real-Time Tracking

The advancement of visual tracking has continuously been brought by deep...
07/22/2020 ∙ by Ning Wang, et al. ∙ 23 ∙ share

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Single Shot Video Object Detector

Single shot detectors that are potentially faster and simpler than two-s...
07/07/2020 ∙ by Jiajun Deng, et al. ∙ 0 ∙ share

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Efficient Integer-Arithmetic-Only Convolutional Neural Networks

Integer-arithmetic-only networks have been demonstrated effective to red...
06/21/2020 ∙ by Hengrui Zhao, et al. ∙ 0 ∙ share

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Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination

Visual tracking can be easily disturbed by similar surrounding objects. ...
06/18/2020 ∙ by Ning Wang, et al. ∙ 4 ∙ share

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Long Short-Term Relation Networks for Video Action Detection

It has been well recognized that modeling human-object or object-object ...
03/31/2020 ∙ by Dong Li, et al. ∙ 0 ∙ share

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Incorporating BERT into Neural Machine Translation

The recently proposed BERT has shown great power on a variety of natural...
02/17/2020 ∙ by Jinhua Zhu, et al. ∙ 0 ∙ share

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Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition

Despite the recent success of deep learning in continuous sign language ...
02/08/2020 ∙ by Hao Zhou, et al. ∙ 6 ∙ share

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Soft Hindsight Experience Replay

Efficient learning in the environment with sparse rewards is one of the ...
02/06/2020 ∙ by Qiwei He, et al. ∙ 0 ∙ share

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A Generalization Theory based on Independent and Task-Identically Distributed Assumption

Existing generalization theories analyze the generalization performance ...
11/28/2019 ∙ by Guanhua Zheng, et al. ∙ 0 ∙ share

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Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

Model-based reinforcement learning algorithms tend to achieve higher sam...
11/28/2019 ∙ by Qi Zhou, et al. ∙ 18 ∙ share

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Quantization Networks

Although deep neural networks are highly effective, their high computati...
11/21/2019 ∙ by Jiwei Yang, et al. ∙ 0 ∙ share

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AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups

Self-supervised learning by predicting transformations has demonstrated ...
11/16/2019 ∙ by Feng Lin, et al. ∙ 0 ∙ share

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Video-based compression for plenoptic point clouds

The plenoptic point cloud that has multiple colors from various directio...
11/04/2019 ∙ by Li Li, et al. ∙ 0 ∙ share

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Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization

Existing methods for person re-identification (Re-ID) are mostly based o...
10/25/2019 ∙ by Qiaokang Xie, et al. ∙ 18 ∙ share

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An End-to-End Foreground-Aware Network for Person Re-Identification

Person re-identification is a crucial task of identifying pedestrians of...
10/25/2019 ∙ by Yiheng Liu, et al. ∙ 15 ∙ share

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Relation Distillation Networks for Video Object Detection

It has been well recognized that modeling object-to-object relations wou...
08/26/2019 ∙ by Jiajun Deng, et al. ∙ 0 ∙ share

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Real-Time Correlation Tracking via Joint Model Compression and Transfer

Correlation filters (CF) have received considerable attention in visual ...
07/23/2019 ∙ by Ning Wang, et al. ∙ 3 ∙ share

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Online Filter Clustering and Pruning for Efficient Convnets

Pruning filters is an effective method for accelerating deep neural netw...
05/28/2019 ∙ by Zhengguang Zhou, et al. ∙ 0 ∙ share

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Progressive Learning of Low-Precision Networks

Recent years have witnessed the great advance of deep learning in a vari...
05/28/2019 ∙ by Zhengguang Zhou, et al. ∙ 0 ∙ share

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Deep Learning-Based Video Coding: A Review and A Case Study

The past decade has witnessed great success of deep learning technology ...
04/29/2019 ∙ by Dong Liu, et al. ∙ 0 ∙ share

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Unsupervised Deep Tracking

We propose an unsupervised visual tracking method in this paper. Differe...
04/03/2019 ∙ by Ning Wang, et al. ∙ 16 ∙ share

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Occupancy-map-based rate distortion optimization for video-based point cloud compression

The state-of-the-art video-based point cloud compression scheme projects...
02/11/2019 ∙ by Li Li, et al. ∙ 0 ∙ share

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Spatial and Temporal Mutual Promotion for Video-based Person Re-identification

Video-based person re-identification is a crucial task of matching video...
12/26/2018 ∙ by Yiheng Liu, et al. ∙ 0 ∙ share

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Affinity Derivation and Graph Merge for Instance Segmentation

We present an instance segmentation scheme based on pixel affinity infor...
11/27/2018 ∙ by Yiding Liu, et al. ∙ 0 ∙ share

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In Defense of the Classification Loss for Person Re-Identification

The recent research for person re-identification has been focused on two...
09/16/2018 ∙ by Yao Zhai, et al. ∙ 0 ∙ share

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Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network

Spatio-temporal contexts are crucial in understanding human actions in v...
05/08/2018 ∙ by Yunfeng Wang, et al. ∙ 0 ∙ share

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Visual Attribute-augmented Three-dimensional Convolutional Neural Network for Enhanced Human Action Recognition

Visual attributes in individual video frames, such as the presence of ch...
05/08/2018 ∙ by Yunfeng Wang, et al. ∙ 0 ∙ share

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To Create What You Tell: Generating Videos from Captions

We are creating multimedia contents everyday and everywhere. While autom...
04/23/2018 ∙ by Yingwei Pan, et al. ∙ 0 ∙ share

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Towards Open-Set Identity Preserving Face Synthesis

We propose a framework based on Generative Adversarial Networks to disen...
03/29/2018 ∙ by Jianmin Bao, et al. ∙ 0 ∙ share

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Video-based Sign Language Recognition without Temporal Segmentation

Millions of hearing impaired people around the world routinely use some ...
01/30/2018 ∙ by Jie Huang, et al. ∙ 0 ∙ share

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Feature Selective Networks for Object Detection

Objects for detection usually have distinct characteristics in different...
11/24/2017 ∙ by Yao Zhai, et al. ∙ 0 ∙ share

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Neural network-based arithmetic coding of intra prediction modes in HEVC

In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC...
09/18/2017 ∙ by Rui Song, et al. ∙ 0 ∙ share

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Houqiang Li

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