304 citations · 352 across the 3 of their papers we have counts for
4 papers
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks
Unaiza Ahsan, Chen Sun, Irfan Essa
We propose an action recognition framework using Gen- erative Adversarial Networks. Our model involves train- ing a deep convolutional generative adversarial network (DCGAN) using…
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation
Chuang Gan, Yandong Li, Haoxiang Li +2
Rich and dense human labeled datasets are among the main enabling factors for the recent advance on vision-language understanding. Many seemingly distant annotations (e.g., semanti…
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun, Abhinav Shrivastava, Saurabh Singh +1
The success of deep learning in vision can be attributed to: (a) models with high capacity; (b) increased computational power; and (c) availability of large-scale labeled data. Sin…
ACD: Action Concept Discovery from Image-Sentence Corpora
Jiyang Gao, Chen Sun, Ram Nevatia
Action classification in still images is an important task in computer vision. It is challenging as the appearances of ac- tions may vary depending on their context (e.g. associate…