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18 papers · 2 filters
Detect-and-Track: Efficient Pose Estimation in Videos
Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani +2
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video. We propose an extremely lightweight yet highly effective approach t…
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen +5
In this work, we propose a goal-driven collaborative task that combines language, perception, and action. Specifically, we develop a Collaborative image-Drawing game between two ag…
A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu +2
Most existing zero-shot learning methods consider the problem as a visual semantic embedding one. Given the demonstrated capability of Generative Adversarial Networks(GANs) to gene…
Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He +2
Most methods for object instance segmentation require all training examples to be labeled with segmentation masks. This requirement makes it expensive to annotate new categories an…
End-to-End Supervised Product Quantization for Image Search and Retrieval
Benjamin Klein, Lior Wolf
Product Quantization, a dictionary based hashing method, is one of the leading unsupervised hashing techniques. While it ignores the labels, it harnesses the features to construct…
Non-local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta +1
Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper, we present non-local operations as a generic family of…