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Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
We tackle human image synthesis, including human motion imitation, appea...
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Deblurring by Realistic Blurring
Existing deep learning methods for image deblurring typically train mode...
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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...
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Fine-grained Image-to-Image Transformation towards Visual Recognition
Existing image-to-image transformation approaches primarily focus on syn...
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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...
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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...
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Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
In this paper, we address a novel task, namely weakly-supervised spatio-...
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Learning to Compose Dynamic Tree Structures for Visual Contexts
We propose to compose dynamic tree structures that place the objects in ...
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Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
In this paper, we study 1-bit convolutional neural networks (CNNs), of w...
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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...
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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...
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Adversarial Spatio-Temporal Learning for Video Deblurring
Camera shake or target movement often leads to undesired blur effects in...
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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...
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End-to-end Active Object Tracking via Reinforcement Learning
In this paper, we propose an active object tracking approach, which prov...
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Multiple Object Tracking: A Literature Review
Multiple Object Tracking (MOT) is an important computer vision problem w...
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