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07/05/2023
MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers
The input tokens to Vision Transformers carry little semantic meaning as...
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04/11/2023
Revisiting Single-gated Mixtures of Experts
Mixture of Experts (MoE) are rising in popularity as a means to train ex...
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04/11/2023
Computational Pathology: A Survey Review and The Way Forward
Computational Pathology (CoPath) is an interdisciplinary science that au...
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04/05/2022
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection
High-resolution images are widely adopted for high-performance object de...
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04/27/2021
FrameExit: Conditional Early Exiting for Efficient Video Recognition
In this paper, we propose a conditional early exiting framework for effi...
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04/23/2021
Skip-Convolutions for Efficient Video Processing
We propose Skip-Convolutions to leverage the large amount of redundancie...
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04/03/2020
TimeGate: Conditional Gating of Segments in Long-range Activities
When recognizing a long-range activity, exploring the entire video is ex...
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03/31/2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Convolutional Neural Networks experience catastrophic forgetting when op...
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07/15/2019
Batch-Shaped Channel Gated Networks
We present a method for gating deep-learning architectures on a fine-gra...
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07/22/2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Tumor proliferation is an important biomarker indicative of the prognosi...
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05/10/2017