4 papers · 1 filter
Adaptive Hierarchical Decomposition of Large Deep Networks
Sumanth Chennupati, Sai Nooka, Shagan Sah +1
Deep learning has recently demonstrated its ability to rival the human brain for visual object recognition. As datasets get larger, a natural question to ask is if existing deep le…
Vector Learning for Cross Domain Representations
Shagan Sah, Chi Zhang, Thang Nguyen +3
Recently, generative adversarial networks have gained a lot of popularity for image generation tasks. However, such models are associated with complex learning mechanisms and deman…
Semantically Invariant Text-to-Image Generation
Shagan Sah, Dheeraj Peri, Ameya Shringi +4
Image captioning has demonstrated models that are capable of generating plausible text given input images or videos. Further, recent work in image generation has shown significant…
Batch-normalized Recurrent Highway Networks
Chi Zhang, Thang Nguyen, Shagan Sah +3
Gradient control plays an important role in feed-forward networks applied to various computer vision tasks. Previous work has shown that Recurrent Highway Networks minimize the pro…