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05/31/2023
Humans in 4D: Reconstructing and Tracking Humans with Transformers
We present an approach to reconstruct humans and track them over time. A...
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04/03/2023
On the Benefits of 3D Pose and Tracking for Human Action Recognition
In this work we study the benefits of using tracking and 3D poses for ac...
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02/01/2022
Fully Online Meta-Learning Without Task Boundaries
While deep networks can learn complex functions such as classifiers, det...
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12/08/2021
Tracking People by Predicting 3D Appearance, Location Pose
In this paper, we present an approach for tracking people in monocular v...
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11/15/2021
Tracking People with 3D Representations
We present a novel approach for tracking multiple people in video. Unlik...
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10/19/2020
Meta-learning the Learning Trends Shared Across Tasks
Meta-learning stands for 'learning to learn' such that generalization to...
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06/17/2020
Self-supervised Knowledge Distillation for Few-shot Learning
Real-world contains an overwhelmingly large number of object classes, le...
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06/02/2020
A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store
Counterfeit apps impersonate existing popular apps in attempts to misgui...
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03/25/2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Humans can continuously learn new knowledge as their experience grows. I...
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03/17/2020
Incremental Object Detection via Meta-Learning
In a real-world setting, object instances from new classes may be contin...
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11/26/2019
TimeCaps: Capturing Time Series Data with Capsule Networks
Capsule networks excel in understanding spatial relationships in 2D data...
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06/03/2019
Random Path Selection for Incremental Learning
Incremental life-long learning is a main challenge towards the long-stan...
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04/21/2019
DeepCaps: Going Deeper with Capsule Networks
Capsule Network is a promising concept in deep learning, yet its true po...
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04/17/2019
TextCaps : Handwritten Character Recognition with Very Small Datasets
Many localized languages struggle to reap the benefits of recent advance...
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10/16/2018
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos
Activity recognition in videos in a deep-learning setting---or otherwise...
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04/26/2018
