17 citations · 39 across the 26 of their papers we have counts for
5 papers · 2 filters
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation
Utkarsh Nath, Rajeev Goel, Eun Som Jeon +5
To address the data scarcity associated with 3D assets, 2D-lifting techniques such as Score Distillation Sampling (SDS) have become a widely adopted practice in text-to-3D generati…
Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation
Tz-Ying Wu, Kyle Min, Subarna Tripathi +1
Video understanding typically requires fine-tuning the large backbone when adapting to new domains. In this paper, we leverage the egocentric video foundation models (Ego-VFMs) bas…
SViTT-Ego: A Sparse Video-Text Transformer for Egocentric Video
Hector A. Valdez, Kyle Min, Subarna Tripathi
Pretraining egocentric vision-language models has become essential to improving downstream egocentric video-text tasks. These egocentric foundation models commonly use the transfor…
Contrastive Language Video Time Pre-training
Hengyue Liu, Kyle Min, Hector A. Valdez +1
We introduce LAVITI, a novel approach to learning language, video, and temporal representations in long-form videos via contrastive learning. Different from pre-training on video-t…
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model
Changhoon Kim, Kyle Min, Yezhou Yang
In the evolving landscape of text-to-image (T2I) diffusion models, the remarkable capability to generate high-quality images from textual descriptions faces challenges with the pot…