Search Results for author: Tao Hu

Found 26 papers, 4 papers with code

Human-Object Interaction Detection via Disentangled Transformer

no code implementations20 Apr 2022 Desen Zhou, Zhichao Liu, Jian Wang, Leshan Wang, Tao Hu, Errui Ding, Jingdong Wang

To associate the predictions of disentangled decoders, we first generate a unified representation for HOI triplets with a base decoder, and then utilize it as input feature of each disentangled decoder.

Human-Object Interaction Detection

GaTector: A Unified Framework for Gaze Object Prediction

no code implementations7 Dec 2021 Binglu Wang, Tao Hu, Baoshan Li, Xiaojuan Chen, Zhijie Zhang

In this paper, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way.

Gaze Estimation Gaze Prediction +1

EgoRenderer: Rendering Human Avatars from Egocentric Camera Images

no code implementations ICCV 2021 Tao Hu, Kripasindhu Sarkar, Lingjie Liu, Matthias Zwicker, Christian Theobalt

We next combine the target pose image and the textures into a combined feature image, which is transformed into the output color image using a neural image translation network.

Texture Synthesis Translation

CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation

no code implementations28 Jul 2021 Tao Hu, Chengjiang Long, Chunxia Xiao

Based on those constraints, a category-consistent and relativistic diverse conditional GAN (CRD-CGAN) is proposed to synthesize $K$ photo-realistic images simultaneously.

Text to image generation Text-to-Image Generation

Self-Supervised 3D Mesh Reconstruction From Single Images

no code implementations CVPR 2021 Tao Hu, LiWei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia

Recent single-view 3D reconstruction methods reconstruct object's shape and texture from a single image with only 2D image-level annotation.

3D Reconstruction Image Generation +1

Exploring the impact of under-reported cases on the COVID-19 spatiotemporal distribution using healthcare worker infection data

no code implementations10 Nov 2020 Peixiao Wang, Tao Hu, Hongqiang Liu, Xinyan Zhu

Therefore, in this paper, a novel framework was proposed to explore the impact of under-reporting on COVID-19 spatiotemporal distributions, and empirical analysis was carried out using infection data of healthcare workers in Wuhan and Hubei (excluding Wuhan).

Hierarchical Modes Exploring in Generative Adversarial Networks

no code implementations5 Mar 2020 Mengxiao Hu, Jinlong Li, Maolin Hu, Tao Hu

In conditional Generative Adversarial Networks (cGANs), when two different initial noises are concatenated with the same conditional information, the distance between their outputs is relatively smaller, which makes minor modes likely to collapse into large modes.

Text to image generation Text-to-Image Generation +1

Multi-object Tracking via End-to-end Tracklet Searching and Ranking

no code implementations4 Mar 2020 Tao Hu, Lichao Huang, Han Shen

Recent works in multiple object tracking use sequence model to calculate the similarity score between the detections and the previous tracklets.

Multi-Object Tracking Multiple Object Tracking

Learning to Generate Dense Point Clouds with Textures on Multiple Categories

1 code implementation22 Dec 2019 Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker

In this paper, we propose a novel approach for reconstructing point clouds from RGB images.

3D Reconstruction

3D Shape Completion with Multi-view Consistent Inference

no code implementations28 Nov 2019 Tao Hu, Zhizhong Han, Matthias Zwicker

We formulate the regularization term as a consistency loss that encourages geometric consistency among multiple views, while the data term guarantees that the optimized views do not drift away too much from a learned shape descriptor.

SILCO: Show a Few Images, Localize the Common Object

no code implementations ICCV 2019 Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees G. M. Snoek

To that end, we introduce a spatial similarity module that searches the spatial commonality among the given images.

Few-Shot Learning

A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms

no code implementations27 Sep 2019 Ruisen Luo, Tao Hu, Zuodong Tang, Chen Wang, Xiaofeng Gong, Haiyan Tu

To solve the problem of inaccurate recognition of types of communication signal modulation, a RNN neural network recognition algorithm combining residual block network with attention mechanism is proposed.

Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network

1 code implementation2 Aug 2019 Tao Hu, Lichao Huang, Xian-Ming Liu, Han Shen

Our tracker achieves leading performance in OTB2013, OTB2015, VOT2015, VOT2016 and LaSOT, and operates at a real-time speed of 26 FPS, which indicates our method is effective and practical.

Frame Motion Estimation +1

VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling

no code implementations26 Jul 2019 Tao Hu, Chengjiang Long, Leheng Zhang, Chunxia Xiao

In this paper, we propose a novel way to interpret text information by extracting visual feature presentation from multiple high-resolution and photo-realistic synthetic images generated by Text-to-image Generative Adversarial Network (GAN) to improve the performance of image labeling.

Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion

no code implementations17 Apr 2019 Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker

Different from image-to-image translation network that completes each view separately, our novel network, multi-view completion net (MVCN), leverages information from all views of a 3D shape to help the completion of each single view.

Image-to-Image Translation Translation

Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification

no code implementations6 Aug 2018 Tao Hu, Jizheng Xu, Cong Huang, Honggang Qi, Qingming Huang, Yan Lu

Besides, we propose attention regularization and attention dropout to weakly supervise the generating process of attention maps.

Classification Fine-Grained Image Classification +1

Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network

no code implementations18 Mar 2018 Tao Hu, Honggang Qi, Jizheng Xu, Qingming Huang

Only one self-iterative regressor is trained to learn the descent directions for samples from coarse stages to fine stages, and parameters are iteratively updated by the same regressor.

Ranked #13 on Face Alignment on 300W (NME_inter-pupil (%, Common) metric)

Face Alignment

A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data

no code implementations2 Mar 2015 Cengiz Pehlevan, Tao Hu, Dmitri B. Chklovskii

Such networks learn the principal subspace, in the sense of principal component analysis (PCA), by adjusting synaptic weights according to activity-dependent learning rules.

A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization

no code implementations2 Mar 2015 Tao Hu, Cengiz Pehlevan, Dmitri B. Chklovskii

Here, to overcome this problem, we derive sparse dictionary learning from a novel cost-function - a regularized error of the symmetric factorization of the input's similarity matrix.

Dictionary Learning

Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning

no code implementations28 Aug 2014 Chao Zhang, DaCheng Tao, Tao Hu, Xiang Li

We are mainly concerned with two theoretical questions: 1) under what conditions does RMTL perform better with a smaller task sample size than STL?

Generalization Bounds Multi-Task Learning

A Neuron as a Signal Processing Device

no code implementations12 May 2014 Tao Hu, Zaid J. Towfic, Cengiz Pehlevan, Alex Genkin, Dmitri B. Chklovskii

Here we propose to view a neuron as a signal processing device that represents the incoming streaming data matrix as a sparse vector of synaptic weights scaled by an outgoing sparse activity vector.

A mechanistic model of early sensory processing based on subtracting sparse representations

no code implementations NeurIPS 2012 Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii

However, feedback inhibitory circuits are common in early sensory circuits and furthermore their dynamics may be nonlinear.

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