activity
20142024
most citedDeep Domain Confusion: Maximizing for Domain Invariance

2.4k citations · 2.5k across the 23 of their papers we have counts for

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18 papers · 1 filter

cs.CV2024

SLANT: Spurious Logo ANalysis Toolkit

Maan Qraitem, Piotr Teterwak, Kate Saenko +1

Online content is filled with logos, from ads and social media posts to website branding and product placements. Consequently, these logos are prevalent in the extensive web-scrape…

cs.CV2024

Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models

Vitali Petsiuk, Kate Saenko

Motivated by ethical and legal concerns, the scientific community is actively developing methods to limit the misuse of Text-to-Image diffusion models for reproducing copyrighted,…

cs.CV2023

Multiscale Video Pretraining for Long-Term Activity Forecasting

Reuben Tan, Matthias De Lange, Michael Iuzzolino +4

Long-term activity forecasting is an especially challenging research problem because it requires understanding the temporal relationships between observed actions, as well as the v…

cs.CV20232 cited

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting

Dina Bashkirova, Samarth Mishra, Diala Lteif +16

Label-efficient and reliable semantic segmentation is essential for many real-life applications, especially for industrial settings with high visual diversity, such as waste sortin…

cs.CV20231 cited

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection

Kuniaki Saito, Donghyun Kim, Piotr Teterwak +2

Building object detectors that are robust to domain shifts is critical for real-world applications. Prior approaches fine-tune a pre-trained backbone and risk overfitting it to in-…

cs.CV20231 cited

MaskSketch: Unpaired Structure-guided Masked Image Generation

Dina Bashkirova, Jose Lezama, Kihyuk Sohn +2

Recent conditional image generation methods produce images of remarkable diversity, fidelity and realism. However, the majority of these methods allow conditioning only on labels o…