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05/23/2023
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
We propose a novel multimodal video benchmark - the Perception Test - to...
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04/13/2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Recent works have shown that large models pretrained on common visual le...
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09/30/2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Self-supervised methods have achieved remarkable success in transfer lea...
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03/16/2022
Object discovery and representation networks
The promise of self-supervised learning (SSL) is to leverage large amoun...
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03/13/2022
Power-Based Side-Channel Attack for AES Key Extraction on the ATMega328 Microcontroller
We demonstrate the extraction of an AES secret key from flash memory on ...
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02/22/2022
Hierarchical Perceiver
General perception systems such as Perceivers can process arbitrary moda...
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02/04/2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Dilated and transposed convolutions are widely used in modern convolutio...
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07/30/2021
Perceiver IO: A General Architecture for Structured Inputs Outputs
The recently-proposed Perceiver model obtains good results on several do...
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03/19/2021
Efficient Visual Pretraining with Contrastive Detection
Self-supervised pretraining has been shown to yield powerful representat...
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02/09/2021
A Deep Learning Approach for Characterizing Major Galaxy Mergers
Fine-grained estimation of galaxy merger stages from observations is a k...
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07/28/2020
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions
Autonomous racing provides the opportunity to test safety-critical perce...
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10/23/2019
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations
Important workloads, such as machine learning and graph analytics applic...
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10/12/2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM
The effectiveness of deep neural networks (DNN) in vision, speech, and l...
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02/11/2018
Understanding Recurrent Neural State Using Memory Signatures
We demonstrate a network visualization technique to analyze the recurren...
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12/13/2017
Applying the Residue Number System to Network Inference
This work explores the lesser studied objective of optimizing the multip...
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07/12/2017
