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80 papers · 1 filter
CASE: Context-Aware Semantic Expansion
Jialong Han, Aixin Sun, Haisong Zhang +2
In this paper, we define and study a new task called Context-Aware Semantic Expansion (CASE). Given a seed term in a sentential context, we aim to suggest other terms that well fit…
TextTubes for Detecting Curved Text in the Wild
Joël Seytre, Jon Wu, Alessandro Achille
We present a detector for curved text in natural images. We model scene text instances as tubes around their medial axes and introduce a parametrization-invariant loss function. We…
What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant
Alejandro Mottini, Amber Roy Chowdhury
A considerable part of the success experienced by Voice-controlled virtual assistants (VVA) is due to the emotional and personalized experience they deliver, with humor being a key…
Sampling-Free Learning of Bayesian Quantized Neural Networks
Jiahao Su, Milan Cvitkovic, Furong Huang
Bayesian learning of model parameters in neural networks is important in scenarios where estimates with well-calibrated uncertainty are important. In this paper, we propose Bayesia…
Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks
Chenguang Wang
Heterogeneous information network (HIN) has shown its power of modeling real world data as a multi-typed entity-relation graph. Meta-path is the key contributor to this power since…
Fashion Outfit Complementary Item Retrieval
Yen-Liang Lin, Son Tran, Larry S. Davis
Complementary fashion item recommendation is critical for fashion outfit completion. Existing methods mainly focus on outfit compatibility prediction but not in a retrieval setting…