849 citations · 1.1k across the 20 of their papers we have counts for
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Weakly Supervised Cascaded Convolutional Networks
Ali Diba, Vivek Sharma, Ali Pazandeh +2
Object detection is a challenging task in visual understanding domain, and even more so if the supervision is to be weak. Recently, few efforts to handle the task without expensive…
Cross-Modal Scene Networks
Yusuf Aytar, Lluis Castrejon, Carl Vondrick +2
People can recognize scenes across many different modalities beyond natural images. In this paper, we investigate how to learn cross-modal scene representations that transfer acros…
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
We capitalize on large amounts of unlabeled video in order to learn a model of scene dynamics for both video recognition tasks (e.g. action classification) and video generation tas…
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns
Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash +1
The recognition of human actions and the determination of human attributes are two tasks that call for fine-grained classification. Indeed, often rather small and inconspicuous obj…
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Lluis Castrejon, Yusuf Aytar, Carl Vondrick +2
People can recognize scenes across many different modalities beyond natural images. In this paper, we investigate how to learn cross-modal scene representations that transfer acros…
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka
Multi-scale deep CNNs have been used successfully for problems mapping each pixel to a label, such as depth estimation and semantic segmentation. It has also been shown that such a…