Wenhan Luo

is this you? claim profile

0 followers
Columbia University

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

We tackle human image synthesis, including human motion imitation, appea...
11/18/2020 ∙ by Wen Liu, et al. ∙ 6 ∙ share

read it
Deblurring by Realistic Blurring

Existing deep learning methods for image deblurring typically train mode...
04/04/2020 ∙ by Kaihao Zhang, et al. ∙ 67 ∙ share

read it
Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video

In this paper, we study the problem of weakly-supervised temporal ground...
01/25/2020 ∙ by Zhenfang Chen, et al. ∙ 0 ∙ share

read it
Fine-grained Image-to-Image Transformation towards Visual Recognition

Existing image-to-image transformation approaches primarily focus on syn...
01/12/2020 ∙ by Wei Xiong, et al. ∙ 14 ∙ share

read it
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling

Pedestrian detection methods have been significantly improved with the d...
12/18/2019 ∙ by Tianrui Liu, et al. ∙ 15 ∙ share

read it
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

We tackle the human motion imitation, appearance transfer, and novel vie...
09/26/2019 ∙ by Wen Liu, et al. ∙ 1 ∙ share

read it
Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video

In this paper, we address a novel task, namely weakly-supervised spatio-...
06/06/2019 ∙ by Zhenfang Chen, et al. ∙ 0 ∙ share

read it
Learning to Compose Dynamic Tree Structures for Visual Contexts

We propose to compose dynamic tree structures that place the objects in ...
12/05/2018 ∙ by Kaihua Tang, et al. ∙ 20 ∙ share

read it
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance

In this paper, we study 1-bit convolutional neural networks (CNNs), of w...
11/04/2018 ∙ by Zechun Liu, et al. ∙ 0 ∙ share

read it
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning

We study active object tracking, where a tracker takes visual observatio...
08/10/2018 ∙ by Wenhan Luo, et al. ∙ 2 ∙ share

read it
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm

In this work, we study the 1-bit convolutional neural networks (CNNs), o...
08/01/2018 ∙ by Zechun Liu, et al. ∙ 0 ∙ share

read it
Adversarial Spatio-Temporal Learning for Video Deblurring

Camera shake or target movement often leads to undesired blur effects in...
03/28/2018 ∙ by Kaihao Zhang, et al. ∙ 0 ∙ share

read it
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks

Taking a photo outside, can we predict the immediate future, e.g., how w...
09/22/2017 ∙ by Wei Xiong, et al. ∙ 0 ∙ share

read it
End-to-end Active Object Tracking via Reinforcement Learning

In this paper, we propose an active object tracking approach, which prov...
05/30/2017 ∙ by Wenhan Luo, et al. ∙ 0 ∙ share

read it
Multiple Object Tracking: A Literature Review

Multiple Object Tracking (MOT) is an important computer vision problem w...
09/26/2014 ∙ by Wenhan Luo, et al. ∙ 0 ∙ share

read it

Wenhan Luo

Featured Co-authors

Wei Liu

Jiebo Luo

Tong Zhang

Hongdong Li

Xin Yang

Lin Ma

Yizhou Wang

Tae-Kyun Kim

Hanwang Zhang

Baoyuan Wu

Peng Sun

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

Deblurring by Realistic Blurring

Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video

Fine-grained Image-to-Image Transformation towards Visual Recognition

Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video

Learning to Compose Dynamic Tree Structures for Visual Contexts

Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance

End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm

Adversarial Spatio-Temporal Learning for Video Deblurring

Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks

End-to-end Active Object Tracking via Reinforcement Learning

Multiple Object Tracking: A Literature Review