619 citations · 3.7k across the 114 of their papers we have counts for
20 papers · 1 filter
Structured Generative Adversarial Networks
Zhijie Deng, Hao Zhang, Xiaodan Liang +4
We study the problem of conditional generative modeling based on designated semantics or structures. Existing models that build conditional generators either require massive labele…
Learning to Segment Human by Watching YouTube
Xiaodan Liang, Yunchao Wei, Liang Lin +4
An intuition on human segmentation is that when a human is moving in a video, the video-context (e.g., appearance and motion clues) may potentially infer reasonable mask informatio…
Attention-Aware Face Hallucination via Deep Reinforcement Learning
Qingxing Cao, Liang Lin, Yukai Shi +2
Face hallucination is a domain-specific super-resolution problem with the goal to generate high-resolution (HR) faces from low-resolution (LR) input images. In contrast to existing…
Dual Motion GAN for Future-Flow Embedded Video Prediction
Xiaodan Liang, Lisa Lee, Wei Dai +1
Future frame prediction in videos is a promising avenue for unsupervised video representation learning. Video frames are naturally generated by the inherent pixel flows from preced…
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
Yuan Yuan, Xiaodan Liang, Xiaolong Wang +2
In this paper, we investigate a weakly-supervised object detection framework. Most existing frameworks focus on using static images to learn object detectors. However, these detect…
Generative Semantic Manipulation with Contrasting GAN
Xiaodan Liang, Hao Zhang, Eric P. Xing
Generative Adversarial Networks (GANs) have recently achieved significant improvement on paired/unpaired image-to-image translation, such as photo sketch and artist pa…