330 citations · 359 across the 3 of their papers we have counts for
8 papers
CPARR: Category-based Proposal Analysis for Referring Relationships
Chuanzi He, Haidong Zhu, Jiyang Gao +2
The task of referring relationships is to localize subject and object entities in an image satisfying a relationship query, which is given in the form of \texttt{<subject, predicat…
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Alvin Wan, Xiaoliang Dai, Peizhao Zhang +9
Differentiable Neural Architecture Search (DNAS) has demonstrated great success in designing state-of-the-art, efficient neural networks. However, DARTS-based DNAS's search space i…
Video Object Grounding using Semantic Roles in Language Description
Arka Sadhu, Kan Chen, Ram Nevatia
We explore the task of Video Object Grounding (VOG), which grounds objects in videos referred to in natural language descriptions. Previous methods apply image grounding based algo…
Zero-Shot Grounding of Objects from Natural Language Queries
Arka Sadhu, Kan Chen, Ram Nevatia
A phrase grounding system localizes a particular object in an image referred to by a natural language query. In previous work, the phrases were restricted to have nouns that were e…
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization
Wentao Cheng, Weisi Lin, Kan Chen +1
Image-based localization (IBL) aims to estimate the 6DOF camera pose for a given query image. The camera pose can be computed from 2D-3D matches between a query image and Structure…
Billion-scale semi-supervised learning for image classification
I. Zeki Yalniz, Hervé Jégou, Kan Chen +2
This paper presents a study of semi-supervised learning with large convolutional networks. We propose a pipeline, based on a teacher/student paradigm, that leverages a large collec…