3 citations · 8 across the 5 of their papers we have counts for
11 papers · 1 filter
Training-free Object Counting with Prompts
Zenglin Shi, Ying Sun, Mengmi Zhang
This paper tackles the problem of object counting in images. Existing approaches rely on extensive training data with point annotations for each object, making data collection labo…
Efficient Zero-shot Visual Search via Target and Context-aware Transformer
Zhiwei Ding, Xuezhe Ren, Erwan David +3
Visual search is a ubiquitous challenge in natural vision, including daily tasks such as finding a friend in a crowd or searching for a car in a parking lot. Human rely heavily on…
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu +2
Visual search is a ubiquitous and often challenging daily task, exemplified by looking for the car keys at home or a friend in a crowd. An intriguing property of some classical sea…
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
Philipp Bomatter, Mengmi Zhang, Dimitar Karev +3
Context is of fundamental importance to both human and machine vision; e.g., an object in the air is more likely to be an airplane than a pig. The rich notion of context incorporat…
What am I Searching for: Zero-shot Target Identity Inference in Visual Search
Mengmi Zhang, Gabriel Kreiman
Can we infer intentions from a person's actions? As an example problem, here we consider how to decipher what a person is searching for by decoding their eye movement behavior. We…
Putting visual object recognition in context
Mengmi Zhang, Claire Tseng, Gabriel Kreiman
Context plays an important role in visual recognition. Recent studies have shown that visual recognition networks can be fooled by placing objects in inconsistent contexts (e.g., a…