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05/28/2023
Key-Value Transformer
Transformers have emerged as the prevailing standard solution for variou...
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02/06/2023
A Categorical Archive of ChatGPT Failures
Large language models have been demonstrated to be valuable in different...
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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...
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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...
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11/04/2022
Logits are predictive of network type
We show that it is possible to predict which deep network has generated ...
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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...
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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...
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08/04/2022
A New Kind of Adversarial Example
Almost all adversarial attacks are formulated to add an imperceptible pe...
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07/31/2022
Is current research on adversarial robustness addressing the right problem?
Short answer: Yes, Long answer: No! Indeed, research on adversarial robu...
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07/21/2022
SplitMixer: Fat Trimmed From MLP-like Models
We present SplitMixer, a simple and lightweight isotropic MLP-like archi...
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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...
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06/21/2022
Sensitivity of Average Precision to Bounding Box Perturbations
Object detection is a fundamental vision task. It has been highly resear...
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03/19/2022
CNNs and Transformers Perceive Hybrid Images Similar to Humans
Hybrid images is a technique to generate images with two interpretations...
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02/20/2022
Overparametrization improves robustness against adversarial attacks: A replication study
Overparametrization has become a de facto standard in machine learning. ...
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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...
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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...
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03/08/2021
Contemplating real-world object classification
Deep object recognition models have been very successful over benchmark ...
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08/31/2020
Shape Defense
Humans rely heavily on shape information to recognize objects. Conversel...
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08/30/2020
A Compact Deep Architecture for Real-time Saliency Prediction
Saliency computation models aim to imitate the attention mechanism in th...
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05/13/2020
Adversarial examples are useful too!
Deep learning has come a long way and has enjoyed an unprecedented succe...
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04/26/2020
Harnessing adversarial examples with a surprisingly simple defense
I introduce a very simple method to defend against adversarial examples....
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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...
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04/04/2020
ObjectNet Dataset: Reanalysis and Correction
Recently, Barbu et al introduced a dataset called ObjectNet which includ...
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12/23/2019
White Noise Analysis of Neural Networks
A white noise analysis of modern deep neural networks is presented to un...
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11/27/2019
Empirical Upper-bound in Object Detection and More
Object detection remains as one of the most notorious open problems in c...
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11/18/2019
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Deep neural networks are vulnerable to adversarial attacks....
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05/25/2019
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction
This paper presents a conceptually simple and effective Deep Audio-Visua...
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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...
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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...
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04/12/2019
Digging Deeper into Egocentric Gaze Prediction
This paper digs deeper into factors that influence egocentric gaze. Inst...
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04/02/2019
Adversarial Attacks against Deep Saliency Models
Currently, a plethora of saliency models based on deep neural networks h...
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03/06/2019
Understanding and Visualizing Deep Visual Saliency Models
Recently, data-driven deep saliency models have achieved high performanc...
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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...
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03/01/2019
Video Summarization via Actionness Ranking
To automatically produce a brief yet expressive summary of a long video,...
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12/01/2018
Multi-View Egocentric Video Summarization
With vast amounts of video content being uploaded to the Internet every ...
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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...
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10/11/2018
Bottom-up Attention, Models of
In this review, we examine the recent progress in saliency prediction an...
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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...
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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 ...
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08/14/2018
Cross-view image synthesis using geometry-guided conditional GANs
We address the problem of generating images across two drastically diffe...
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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...
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06/27/2018
Learning a Saliency Evaluation Metric Using Crowdsourced Perceptual Judgments
In the area of human fixation prediction, dozens of computational salien...
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05/26/2018
Enhanced-alignment Measure for Binary Foreground Map Evaluation
The existing binary foreground map (FM) measures to address various type...
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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...
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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...
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03/15/2018
What Catches the Eye? Visualizing and Understanding Deep Saliency Models
Deep convolutional neural networks have demonstrated high performances f...
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03/09/2018
Cross-View Image Synthesis using Conditional GANs
Learning to generate natural scenes has always been a challenging task i...
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03/08/2018
Analysis of Hand Segmentation in the Wild
A large number of works in egocentric vision have concentrated on action...
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02/09/2018
Pros and Cons of GAN Evaluation Measures
Generative models, in particular generative adverserial networks (GANs),...
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01/25/2018
