742 citations · 2.5k across the 92 of their papers we have counts for
10 papers · 1 filter
Deep Video Generation, Prediction and Completion of Human Action Sequences
Haoye Cai, Chunyan Bai, Yu-Wing Tai +1
Current deep learning results on video generation are limited while there are only a few first results on video prediction and no relevant significant results on video completion.…
MAVOT: Memory-Augmented Video Object Tracking
Boyu Liu, Yanzhao Wang, Yu-Wing Tai +1
We introduce a one-shot learning approach for video object tracking. The proposed algorithm requires seeing the object to be tracked only once, and employs an external memory to st…
Image Generation from Sketch Constraint Using Contextual GAN
Yongyi Lu, Shangzhe Wu, Yu-Wing Tai +1
In this paper we investigate image generation guided by hand sketch. When the input sketch is badly drawn, the output of common image-to-image translation follows the input edges d…
Deep High Dynamic Range Imaging with Large Foreground Motions
Shangzhe Wu, Jiarui Xu, Yu-Wing Tai +1
This paper proposes the first non-flow-based deep framework for high dynamic range (HDR) imaging of dynamic scenes with large-scale foreground motions. In state-of-the-art deep HDR…
Adversarial Attacks Beyond the Image Space
Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang +5
Generating adversarial examples is an intriguing problem and an important way of understanding the working mechanism of deep neural networks. Most existing approaches generated per…
Image Dehazing using Bilinear Composition Loss Function
Hui Yang, Jinshan Pan, Qiong Yan +3
In this paper, we introduce a bilinear composition loss function to address the problem of image dehazing. Previous methods in image dehazing use a two-stage approach which first e…
Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
Donghyeon Cho, Jinsun Park, Tae-Hyun Oh +2
This paper proposes a weakly- and self-supervised deep convolutional neural network (WSSDCNN) for content-aware image retargeting. Our network takes a source image and a target asp…
Attribute-Guided Face Generation Using Conditional CycleGAN
Yongyi Lu, Yu-Wing Tai, Chi-Keung Tang
We are interested in attribute-guided face generation: given a low-res face input image, an attribute vector that can be extracted from a high-res image (attribute image), our new…
A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
Jinsun Park, Yu-Wing Tai, Donghyeon Cho +1
In this paper, we introduce robust and synergetic hand-crafted features and a simple but efficient deep feature from a convolutional neural network (CNN) architecture for defocus e…
Accurate Single Stage Detector Using Recurrent Rolling Convolution
Jimmy Ren, Xiaohao Chen, Jianbo Liu +5
Most of the recent successful methods in accurate object detection and localization used some variants of R-CNN style two stage Convolutional Neural Networks (CNN) where plausible…