no code implementations • 15 Apr 2024 • Mia Chiquier, Utkarsh Mall, Carl Vondrick
To address these limitations, we present a novel method that discovers interpretable yet discriminative sets of attributes for visual recognition.
no code implementations • 12 Dec 2023 • Utkarsh Mall, Cheng Perng Phoo, Meilin Kelsey Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala
We introduce a method to train vision-language models for remote-sensing images without using any textual annotations.
no code implementations • CVPR 2023 • Utkarsh Mall, Bharath Hariharan, Kavita Bala
While a vast amount of spatio-temporal satellite image data is readily available, most of it remains unlabelled.
1 code implementation • ICCV 2021 • Utkarsh Mall, Bharath Hariharan, Kavita Bala
Annotating the full set of attributes for a novel category proves to be a tedious and expensive task in deployment.
2 code implementations • CVPR 2021 • Jang Hyun Cho, Utkarsh Mall, Kavita Bala, Bharath Hariharan
With our novel learning objective, our framework can learn high-level semantic concepts.
Ranked #3 on Unsupervised Semantic Segmentation on COCO-Stuff-171
no code implementations • 4 Dec 2020 • Utkarsh Mall, Kavita Bala, Tamara Berg, Kristen Grauman
The fashion sense -- meaning the clothing styles people wear -- in a geographical region can reveal information about that region.
1 code implementation • ICCV 2019 • Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala
Understanding fashion styles and trends is of great potential interest to retailers and consumers alike.
no code implementations • 9 Dec 2017 • Utkarsh Mall, G. Roshan Lal, Siddhartha Chaudhuri, Parag Chaudhuri
We present a deep, bidirectional, recurrent framework for cleaning noisy and incomplete motion capture data.