b'Larry Davis'

Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories

The standard way of training video models entails sampling at each itera...
04/02/2021 ∙ by Xitong Yang, et al. ∙ 0 ∙ share

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Knowledge Evolution in Neural Networks

Deep learning relies on the availability of a large corpus of data (labe...
03/09/2021 ∙ by Ahmed Taha, et al. ∙ 0 ∙ share

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SVMax: A Feature Embedding Regularizer

A neural network regularizer (e.g., weight decay) boosts performance by ...
03/04/2021 ∙ by Ahmed Taha, et al. ∙ 0 ∙ share

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Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Over the past six years, deep generative models have achieved a qualitat...
12/16/2020 ∙ by Ning Yu, et al. ∙ 0 ∙ share

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The Lottery Ticket Hypothesis for Object Recognition

Recognition tasks, such as object recognition and keypoint estimation, h...
12/08/2020 ∙ by Sharath Girish, et al. ∙ 0 ∙ share

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SLADE: A Self-Training Framework For Distance Metric Learning

Most existing distance metric learning approaches use fully labeled data...
11/20/2020 ∙ by Jiali Duan, et al. ∙ 4 ∙ share

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Analyzing and Mitigating Compression Defects in Deep Learning

With the proliferation of deep learning methods, many computer vision pr...
11/17/2020 ∙ by Max Ehrlich, et al. ∙ 1 ∙ share

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Hierarchical Contrastive Motion Learning for Video Action Recognition

One central question for video action recognition is how to model motion...
07/20/2020 ∙ by Xitong Yang, et al. ∙ 4 ∙ share

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ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors

The widely adopted sequential variant of Non Maximum Suppression (or Gre...
07/19/2020 ∙ by Rohun Tripathi, et al. ∙ 0 ∙ share

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A Generic Visualization Approach for Convolutional Neural Networks

Retrieval networks are essential for searching and indexing. Compared to...
07/19/2020 ∙ by Ahmed Taha, et al. ∙ 59 ∙ share

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Layout Generation and Completion with Self-attention

We address the problem of layout generation for diverse domains such as ...
06/25/2020 ∙ by Kamal Gupta, et al. ∙ 5 ∙ share

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Quantization Guided JPEG Artifact Correction

The JPEG image compression algorithm is the most popular method of image...
04/17/2020 ∙ by Max Ehrlich, et al. ∙ 10 ∙ share

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Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Generative Adversarial Networks (GANs) have brought about rapid progress...
04/07/2020 ∙ by Ning Yu, et al. ∙ 5 ∙ share

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Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors

We present a systematic study of adversarial attacks on state-of-the-art...
10/31/2019 ∙ by Zuxuan Wu, et al. ∙ 73 ∙ share

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A weakly supervised adaptive triplet loss for deep metric learning

We address the problem of distance metric learning in visual similarity ...
09/27/2019 ∙ by Xiaonan Zhao, et al. ∙ 0 ∙ share

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STEP: Spatio-Temporal Progressive Learning for Video Action Detection

In this paper, we propose Spatio-TEmporal Progressive (STEP) action dete...
04/19/2019 ∙ by Xitong Yang, et al. ∙ 8 ∙ share

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Unsupervised Data Uncertainty Learning in Visual Retrieval Systems

We introduce an unsupervised formulation to estimate heteroscedastic unc...
02/07/2019 ∙ by Ahmed Taha, et al. ∙ 10 ∙ share

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In Defense of the Triplet Loss for Visual Recognition

We employ triplet loss as a space embedding regularizer to boost classif...
01/24/2019 ∙ by Ahmed Taha, et al. ∙ 0 ∙ share

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Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems

We cast visual retrieval as a regression problem by posing triplet loss ...
01/23/2019 ∙ by Ahmed Taha, et al. ∙ 0 ∙ share

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Deep Residual Learning in the JPEG Transform Domain

We introduce a general method of performing Residual Network inference a...
12/31/2018 ∙ by Max Ehrlich, et al. ∙ 0 ∙ share

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Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation

We propose novel Stacked Spatio-Temporal Graph Convolutional Networks (S...
11/26/2018 ∙ by Pallabi Ghosh, et al. ∙ 0 ∙ share

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Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images

Research in computer graphics has been in pursuit of realistic image gen...
11/20/2018 ∙ by Ning Yu, et al. ∙ 12 ∙ share

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Learning GAN fingerprints towards Image Attribution

Recent advances in Generative Adversarial Networks (GANs) have shown inc...
11/20/2018 ∙ by Ning Yu, et al. ∙ 0 ∙ share

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Two Stream Self-Supervised Learning for Action Recognition

We present a self-supervised approach using spatio-temporal signals betw...
06/16/2018 ∙ by Ahmed Taha, et al. ∙ 0 ∙ share

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Learning to Color from Language

Automatic colorization is the process of adding color to greyscale image...
04/17/2018 ∙ by Varun Manjunatha, et al. ∙ 0 ∙ share

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Deep Motion Boundary Detection

Motion boundary detection is a crucial yet challenging problem. Prior me...
04/13/2018 ∙ by Xiaoqing Yin, et al. ∙ 0 ∙ share

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Class Subset Selection for Transfer Learning using Submodularity

In recent years, it is common practice to extract fully-connected layer ...
03/30/2018 ∙ by Varun Manjunatha, et al. ∙ 0 ∙ share

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Face-MagNet: Magnifying Feature Maps to Detect Small Faces

In this paper, we introduce the Face Magnifier Network (Face-MageNet), a...
03/14/2018 ∙ by Pouya Samangouei, et al. ∙ 0 ∙ share

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Boundary-sensitive Network for Portrait Segmentation

Compared to the general semantic segmentation problem, portrait segmenta...
12/22/2017 ∙ by Xianzhi Du, et al. ∙ 0 ∙ share

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SSH: Single Stage Headless Face Detector

We introduce the Single Stage Headless (SSH) face detector. Unlike two s...
08/14/2017 ∙ by Mahyar Najibi, et al. ∙ 0 ∙ share

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The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives

Visual narrative is often a combination of explicit information and judi...
11/16/2016 ∙ by Mohit Iyyer, et al. ∙ 0 ∙ share

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Weakly Supervised Learning of Heterogeneous Concepts in Videos

Typical textual descriptions that accompany online videos are 'weak': i....
07/12/2016 ∙ by Sohil Shah, et al. ∙ 0 ∙ share

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Learning Discriminative Features via Label Consistent Neural Network

Deep Convolutional Neural Networks (CNN) enforces supervised information...
02/03/2016 ∙ by Zhuolin Jiang, et al. ∙ 0 ∙ share

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Learning Structured Ordinal Measures for Video based Face Recognition

This paper presents a structured ordinal measure method for video-based ...
07/09/2015 ∙ by Ran He, et al. ∙ 0 ∙ share

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Larry Davis

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