b'Ali Borji'

research

∙ 05/28/2023

Key-Value Transformer

Transformers have emerged as the prevailing standard solution for variou...

0 Ali Borji, et al. ∙

research

∙ 02/06/2023

A Categorical Archive of ChatGPT Failures

Large language models have been demonstrated to be valuable in different...

0 Ali Borji, et al. ∙

research

∙ 01/29/2023

Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification

Test sets are an integral part of evaluating models and gauging progress...

0 Ali Borji, et al. ∙

research

∙ 01/28/2023

BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models

We introduce a new test set for visual question answering (VQA) called B...

0 Ali Borji, et al. ∙

research

∙ 11/04/2022

Logits are predictive of network type

We show that it is possible to predict which deep network has generated ...

0 Ali Borji, et al. ∙

research

∙ 10/02/2022

Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2

The field of image synthesis has made great strides in the last couple o...

0 Ali Borji, et al. ∙

research

∙ 08/23/2022

How good are deep models in understanding the generated images?

My goal in this paper is twofold: to study how well deep models can unde...

0 Ali Borji, et al. ∙

research

∙ 08/04/2022

A New Kind of Adversarial Example

Almost all adversarial attacks are formulated to add an imperceptible pe...

0 Ali Borji, et al. ∙

research

∙ 07/31/2022

Is current research on adversarial robustness addressing the right problem?

Short answer: Yes, Long answer: No! Indeed, research on adversarial robu...

0 Ali Borji, et al. ∙

research

∙ 07/21/2022

SplitMixer: Fat Trimmed From MLP-like Models

We present SplitMixer, a simple and lightweight isotropic MLP-like archi...

0 Ali Borji, et al. ∙

research

∙ 06/23/2022

Complementary datasets to COCO for object detection

For nearly a decade, the COCO dataset has been the central test bed of r...

0 Ali Borji, et al. ∙

research

∙ 06/21/2022

Sensitivity of Average Precision to Bounding Box Perturbations

Object detection is a fundamental vision task. It has been highly resear...

0 Ali Borji, et al. ∙

research

∙ 03/19/2022

CNNs and Transformers Perceive Hybrid Images Similar to Humans

Hybrid images is a technique to generate images with two interpretations...

0 Ali Borji, et al. ∙

research

∙ 02/20/2022

Overparametrization improves robustness against adversarial attacks: A replication study

Overparametrization has become a de facto standard in machine learning. ...

0 Ali Borji, et al. ∙

research

∙ 03/17/2021

Pros and Cons of GAN Evaluation Measures: New Developments

This work is an update of a previous paper on the same topic published a...

0 Ali Borji, et al. ∙

research

∙ 03/09/2021

Enhancing sensor resolution improves CNN accuracy given the same number of parameters or FLOPS

High image resolution is critical to obtain a good performance in many c...

0 Ali Borji, et al. ∙

research

∙ 03/08/2021

Contemplating real-world object classification

Deep object recognition models have been very successful over benchmark ...

0 Ali Borji, et al. ∙

research

∙ 08/31/2020

Shape Defense

Humans rely heavily on shape information to recognize objects. Conversel...

1 Ali Borji, et al. ∙

research

∙ 08/30/2020

A Compact Deep Architecture for Real-time Saliency Prediction

Saliency computation models aim to imitate the attention mechanism in th...

0 Samad Zabihi, et al. ∙

research

∙ 05/13/2020

Adversarial examples are useful too!

Deep learning has come a long way and has enjoyed an unprecedented succe...

26 Ali Borji, et al. ∙

research

∙ 04/26/2020

Harnessing adversarial examples with a surprisingly simple defense

I introduce a very simple method to defend against adversarial examples....

0 Ali Borji, et al. ∙

research

∙ 04/05/2020

Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors

Object detection remains as one of the most notorious open problems in c...

0 Ali Borji, et al. ∙

research

∙ 04/04/2020

ObjectNet Dataset: Reanalysis and Correction

Recently, Barbu et al introduced a dataset called ObjectNet which includ...

9 Ali Borji, et al. ∙

research

∙ 12/23/2019

White Noise Analysis of Neural Networks

A white noise analysis of modern deep neural networks is presented to un...

29 Ali Borji, et al. ∙

research

∙ 11/27/2019

Empirical Upper-bound in Object Detection and More

Object detection remains as one of the most notorious open problems in c...

6 Ali Borji, et al. ∙

research

∙ 11/18/2019

A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories

Deep neural networks are vulnerable to adversarial attacks....

0 Zhaohui Che, et al. ∙

research

∙ 05/25/2019

DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction

This paper presents a conceptually simple and effective Deep Audio-Visua...

0 Hamed R. Tavakoli, et al. ∙

research

∙ 05/16/2019

GazeGAN: A Generative Adversarial Saliency Model based on Invariance Analysis of Human Gaze During Scene Free Viewing

Data size is the bottleneck for developing deep saliency models, because...

0 Zhaohui Che, et al. ∙

research

∙ 05/16/2019

Leverage eye-movement data for saliency modeling: Invariance Analysis and a Robust New Model

Data size is the bottleneck for developing deep saliency models, because...

0 Zhaohui Che, et al. ∙

research

∙ 04/12/2019

Digging Deeper into Egocentric Gaze Prediction

This paper digs deeper into factors that influence egocentric gaze. Inst...

0 Hamed R. Tavakoli, et al. ∙

research

∙ 04/02/2019

Adversarial Attacks against Deep Saliency Models

Currently, a plethora of saliency models based on deep neural networks h...

0 Zhaohui Che, et al. ∙

research

∙ 03/06/2019

Understanding and Visualizing Deep Visual Saliency Models

Recently, data-driven deep saliency models have achieved high performanc...

0 Sen He, et al. ∙

research

∙ 03/06/2019

A Synchronized Multi-Modal Attention-Caption Dataset and Analysis

In this work, we present a novel multi-modal dataset consisting of eye m...

0 Sen He, et al. ∙

research

∙ 03/01/2019

Video Summarization via Actionness Ranking

To automatically produce a brief yet expressive summary of a long video,...

6 Mohamed Elfeki, et al. ∙

research

∙ 12/01/2018

Multi-View Egocentric Video Summarization

With vast amounts of video content being uploaded to the Internet every ...

0 Mohamed Elfeki, et al. ∙

research

∙ 12/01/2018

From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval

First-person (egocentric) and third person (exocentric) videos are drast...

0 Mohamed Elfeki, et al. ∙

research

∙ 10/11/2018

Bottom-up Attention, Models of

In this review, we examine the recent progress in saliency prediction an...

0 Ali Borji, et al. ∙

research

∙ 10/10/2018

Invariance Analysis of Saliency Models versus Human Gaze During Scene Free Viewing

Most of current studies on human gaze and saliency modeling have used hi...

4 Zhaohui Che, et al. ∙

research

∙ 10/08/2018

Saliency Prediction in the Deep Learning Era: An Empirical Investigation

Visual saliency models have enjoyed a big leap in performance in recent ...

4 Ali Borji, et al. ∙

research

∙ 08/14/2018

Cross-view image synthesis using geometry-guided conditional GANs

We address the problem of generating images across two drastically diffe...

0 Krishna Regmi, et al. ∙

research

∙ 07/28/2018

Improving Sequential Determinantal Point Processes for Supervised Video Summarization

It is now much easier than ever before to produce videos. While the ubiq...

4 Aidean Sharghi, et al. ∙

research

∙ 06/27/2018

Learning a Saliency Evaluation Metric Using Crowdsourced Perceptual Judgments

In the area of human fixation prediction, dozens of computational salien...

0 Changqun Xia, et al. ∙

research

∙ 05/26/2018

Enhanced-alignment Measure for Binary Foreground Map Evaluation

The existing binary foreground map (FM) measures to address various type...

0 Deng-Ping Fan, et al. ∙

research

∙ 03/27/2018

Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction

In this paper, we aim at solving pixel-wise binary problems, including s...

0 Qibin Hou, et al. ∙

research

∙ 03/16/2018

Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

In this paper, we provide a comprehensive evaluation of salient object d...

0 Deng-Ping Fan, et al. ∙

research

∙ 03/15/2018

What Catches the Eye? Visualizing and Understanding Deep Saliency Models

Deep convolutional neural networks have demonstrated high performances f...

0 Sen He, et al. ∙

research

∙ 03/09/2018

Cross-View Image Synthesis using Conditional GANs

Learning to generate natural scenes has always been a challenging task i...

0 Krishna Regmi, et al. ∙

research

∙ 03/08/2018

Analysis of Hand Segmentation in the Wild

A large number of works in egocentric vision have concentrated on action...

0 Aisha Urooj Khan, et al. ∙

research

∙ 02/09/2018

Pros and Cons of GAN Evaluation Measures

Generative models, in particular generative adverserial networks (GANs),...

0 Ali Borji, et al. ∙

research

∙ 01/25/2018

Visual Weather Temperature Prediction

In this paper, we attempt to employ convolutional recurrent neural netwo...

0 Wei-Ta Chu, et al. ∙

Ali Borji

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