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06/30/2023
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing
Vision transformers (ViTs) have significantly changed the computer visio...
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03/26/2023
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Label-efficient and reliable semantic segmentation is essential for many...
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11/29/2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Modern deep neural networks tend to be evaluated on static test sets. On...
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04/25/2022
Temporal Relevance Analysis for Video Action Models
In this paper, we provide a deep analysis of temporal modeling for actio...
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07/19/2021
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition
The modern open internet contains billions of public images of human fac...
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06/08/2021
Simulated Adversarial Testing of Face Recognition Models
Most machine learning models are validated and tested on fixed datasets....
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06/04/2021
ZeroWaste Dataset: Towards Automated Waste Recycling
Less than 35 leads to increased soil and sea pollution and is one of the...
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06/11/2020
SegNBDT: Visual Decision Rules for Segmentation
The black-box nature of neural networks limits model decision interpreta...
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06/11/2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks
In this work, we develop efficient disruptions of black-box image transl...
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04/01/2020
NBDT: Neural-Backed Decision Trees
Deep learning is being adopted in settings where accurate and justifiabl...
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03/13/2020
Explainable Deep Classification Models for Domain Generalization
Conventionally, AI models are thought to trade off explainability for lo...
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12/23/2019
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
In this work, we address the problem of learning an ensemble of speciali...
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06/05/2019
Multi-way Encoding for Robustness
Deep models are state-of-the-art for many computer vision tasks includin...
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12/06/2018
Guided Zoom: Questioning Network Evidence for Fine-grained Classification
We propose Guided Zoom, an approach that utilizes spatial grounding to m...
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05/23/2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
We propose a guided dropout regularizer for deep networks based on the e...
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03/02/2018
Hashing with Mutual Information
Binary vector embeddings enable fast nearest neighbor retrieval in large...
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01/09/2018
Moments in Time Dataset: one million videos for event understanding
We present the Moments in Time Dataset, a large-scale human-annotated co...
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11/18/2017
Excitation Backprop for RNNs
Deep models are state-of-the-art for many vision tasks including video a...
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05/23/2017
Hashing as Tie-Aware Learning to Rank
Hashing, or learning binary embeddings of data, is frequently used in ne...
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03/27/2017
MIHash: Online Hashing with Mutual Information
Learning-based hashing methods are widely used for nearest neighbor retr...
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12/22/2015
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
Recently, attempts have been made to collect millions of videos to train...
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11/10/2015
