94 citations · 142 across the 5 of their papers we have counts for
5 papers
Visually Grounded Continual Learning of Compositional Phrases
Xisen Jin, Junyi Du, Arka Sadhu +2
Humans acquire language continually with much more limited access to data samples at a time, as compared to contemporary NLP systems. To study this human-like language acquisition…
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
Jiyang Gao, Zijian, Guo +2
Fine-grained image labels are desirable for many computer vision applications, such as visual search or mobile AI assistant. These applications rely on image classification models…
TALL: Temporal Activity Localization via Language Query
Jiyang Gao, Chen Sun, Zhenheng Yang +1
This paper focuses on temporal localization of actions in untrimmed videos. Existing methods typically train classifiers for a pre-defined list of actions and apply them in a slidi…
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks
Chen Sun, Manohar Paluri, Ronan Collobert +2
This paper aims to classify and locate objects accurately and efficiently, without using bounding box annotations. It is challenging as objects in the wild could appear at arbitrar…
Automatic Concept Discovery from Parallel Text and Visual Corpora
Chen Sun, Chuang Gan, Ram Nevatia
Humans connect language and vision to perceive the world. How to build a similar connection for computers? One possible way is via visual concepts, which are text terms that relate…