167 citations · 546 across the 27 of their papers we have counts for
5 papers · 1 filter
Adaptive Object Detection Using Adjacency and Zoom Prediction
Yongxi Lu, Tara Javidi, Svetlana Lazebnik
State-of-the-art object detection systems rely on an accurate set of region proposals. Several recent methods use a neural network architecture to hypothesize promising object loca…
Active Object Localization with Deep Reinforcement Learning
Juan C. Caicedo, Svetlana Lazebnik
We present an active detection model for localizing objects in scenes. The model is class-specific and allows an agent to focus attention on candidate regions for identifying the c…
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang, Yin Li, Svetlana Lazebnik
This paper proposes a method for learning joint embeddings of images and text using a two-branch neural network with multiple layers of linear projections followed by nonlinearitie…
Training Deeper Convolutional Networks with Deep Supervision
Liwei Wang, Chen-Yu Lee, Zhuowen Tu +1
One of the most promising ways of improving the performance of deep convolutional neural networks is by increasing the number of convolutional layers. However, adding layers makes…
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes +3
The Flickr30k dataset has become a standard benchmark for sentence-based image description. This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k…