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20182023
most citedUnified Generative Adversarial Networks for Controllable Image-to-Image Translation

52 citations · 381 across the 46 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.CV2021

Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking

Yidi Li, Hong Liu, Hao Tang

Multi-modal fusion is proven to be an effective method to improve the accuracy and robustness of speaker tracking, especially in complex scenarios. However, how to combine the hete…

cs.CV2021★ 3 cited

Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model

Zipeng Xu, Tianwei Lin, Hao Tang +6

To achieve disentangled image manipulation, previous works depend heavily on manual annotation. Meanwhile, the available manipulations are limited to a pre-defined set the models w…

cs.CV2021★ 2 cited

Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation

Bin Ren, Hao Tang, Nicu Sebe

It is hard to generate an image at target view well for previous cross-view image translation methods that directly adopt a simple encoder-decoder or U-Net structure, especially fo…

cs.CV2021

Cross-View Exocentric to Egocentric Video Synthesis

Gaowen Liu, Hao Tang, Hugo Latapie +2

Cross-view video synthesis task seeks to generate video sequences of one view from another dramatically different view. In this paper, we investigate the exocentric (third-person)…

cs.CV2021★ 21 cited

Transformer-Based Source-Free Domain Adaptation

Guanglei Yang, Hao Tang, Zhun Zhong +4

In this paper, we study the task of source-free domain adaptation (SFDA), where the source data are not available during target adaptation. Previous works on SFDA mainly focus on a…

cs.CV2021★ 7 cited

Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization

Jichao Zhang, Aliaksandr Siarohin, Hao Tang +4

Controllable person image generation aims to produce realistic human images with desirable attributes such as a given pose, cloth textures, or hairstyles. However, the large spatia…