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20182025
most citedVisual Classification via Description from Large Language Models

57 citations · 83 across the 12 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 1 cited

Task Bias in Vision-Language Models

Sachit Menon, Ishaan Preetam Chandratreya, Carl Vondrick

Incidental supervision from language has become a popular approach for learning generic visual representations that can be prompted to perform many recognition tasks in computer vi…

cs.CV2022★ 1 cited

Doubly Right Object Recognition: A Why Prompt for Visual Rationales

Chengzhi Mao, Revant Teotia, Amrutha Sundar +4

Many visual recognition models are evaluated only on their classification accuracy, a metric for which they obtain strong performance. In this paper, we investigate whether compute…

cs.CV2022★ 57 cited

Visual Classification via Description from Large Language Models

Sachit Menon, Carl Vondrick

Vision-language models (VLMs) such as CLIP have shown promising performance on a variety of recognition tasks using the standard zero-shot classification procedure -- computing sim…

cs.LG2022★ 2 cited

Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse

Sachit Menon, David Blei, Carl Vondrick

Variational autoencoders (VAEs) suffer from posterior collapse, where the powerful neural networks used for modeling and inference optimize the objective without meaningfully using…

cs.CV2022★ 5 cited

Shadows Shed Light on 3D Objects

Ruoshi Liu, Sachit Menon, Chengzhi Mao +3

3D reconstruction is a fundamental problem in computer vision, and the task is especially challenging when the object to reconstruct is partially or fully occluded. We introduce a…