activity
20142026
most citedSalient Object Detection: A Benchmark

1.4k citations · 4.4k across the 74 of their papers we have counts for

collaborators

84 papers

cs.CV2026

A New Kind of Adversarial Example: Measuring the Human-Model Gap, and Its Relationship to OOD Detection

Ali Borji

Almost all adversarial attacks add an imperceptible perturbation to fool a model. We instead study the opposite: a large, clearly visible perturbation that causes the model to keep…

cs.CV2024

Addressing a fundamental limitation in deep vision models: lack of spatial attention

Ali Borji

The primary aim of this manuscript is to underscore a significant limitation in current deep learning models, particularly vision models. Unlike human vision, which efficiently sel…

cs.CV2023

Key-Value Transformer

Ali Borji

Transformers have emerged as the prevailing standard solution for various AI tasks, including computer vision and natural language processing. The widely adopted Query, Key, and Va…

cs.CL2023★ 99 cited

A Categorical Archive of ChatGPT Failures

Ali Borji

Large language models have been demonstrated to be valuable in different fields. ChatGPT, developed by OpenAI, has been trained using massive amounts of data and simulates human co…

cs.CV2023★ 1 cited

Qualitative Failures of Image Generation Models and Their Application in Detecting Deepfakes

Ali Borji

The ability of image and video generation models to create photorealistic images has reached unprecedented heights, making it difficult to distinguish between real and fake images…

cs.CV2023

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

Ali Borji

Test sets are an integral part of evaluating models and gauging progress in object recognition, and more broadly in computer vision and AI. Existing test sets for object recognitio…