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05/10/2021
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data
Event cameras are activity-driven bio-inspired vision sensors, thereby r...
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03/29/2021
Adaptive Methods for Real-World Domain Generalization
Invariant approaches have been remarkably successful in tackling the pro...
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03/23/2021
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency
Weakly supervised instance segmentation reduces the cost of annotations ...
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08/13/2020
What leads to generalization of object proposals?
Object proposal generation is often the first step in many detection mod...
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04/02/2019
Activity Driven Weakly Supervised Object Detection
Weakly supervised object detection aims at reducing the amount of superv...
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05/02/2018
Exploring the Limits of Weakly Supervised Pretraining
State-of-the-art visual perception models for a wide range of tasks rely...
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06/09/2017
Learning to Learn from Noisy Web Videos
Understanding the simultaneously very diverse and intricately fine-grain...
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11/09/2015
Detecting events and key actors in multi-person videos
Multi-person event recognition is a challenging task, often with many pe...
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05/02/2015