349 citations · 1.3k across the 36 of their papers we have counts for
10 papers · 1 filter
Visual to Sound: Generating Natural Sound for Videos in the Wild
Yipin Zhou, Zhaowen Wang, Chen Fang +2
As two of the five traditional human senses (sight, hearing, taste, smell, and touch), vision and sound are basic sources through which humans understand the world. Often correlate…
Multi-Content GAN for Few-Shot Font Style Transfer
Samaneh Azadi, Matthew Fisher, Vladimir Kim +3
In this work, we focus on the challenge of taking partial observations of highly-stylized text and generalizing the observations to generate unobserved glyphs in the ornamented typ…
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Wang-Cheng Kang, Chen Fang, Zhaowen Wang +1
Building effective recommender systems for domains like fashion is challenging due to the high level of subjectivity and the semantic complexity of the features involved (i.e., fas…
Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding
Shuai Tang, Hailin Jin, Chen Fang +2
Context plays an important role in human language understanding, thus it may also be useful for machines learning vector representations of language. In this paper, we explore an a…
Photometric Stabilization for Fast-forward Videos
Xuaner Cecilia Zhang, Joon-Young Lee, Kalyan Sunkavalli +1
Videos captured by consumer cameras often exhibit temporal variations in color and tone that are caused by camera auto-adjustments like white-balance and exposure. When such videos…
Trimming and Improving Skip-thought Vectors
Shuai Tang, Hailin Jin, Chen Fang +2
The skip-thought model has been proven to be effective at learning sentence representations and capturing sentence semantics. In this paper, we propose a suite of techniques to tri…
Rethinking Skip-thought: A Neighborhood based Approach
Shuai Tang, Hailin Jin, Chen Fang +2
We study the skip-thought model with neighborhood information as weak supervision. More specifically, we propose a skip-thought neighbor model to consider the adjacent sentences as…
Universal Style Transfer via Feature Transforms
Yijun Li, Chen Fang, Jimei Yang +3
Universal style transfer aims to transfer arbitrary visual styles to content images. Existing feed-forward based methods, while enjoying the inference efficiency, are mainly limite…
AMC: Attention guided Multi-modal Correlation Learning for Image Search
Kan Chen, Trung Bui, Fang Chen +2
Given a user's query, traditional image search systems rank images according to its relevance to a single modality (e.g., image content or surrounding text). Nowadays, an increasin…
Diversified Texture Synthesis with Feed-forward Networks
Yijun Li, Chen Fang, Jimei Yang +3
Recent progresses on deep discriminative and generative modeling have shown promising results on texture synthesis. However, existing feed-forward based methods trade off generalit…