14 citations · 18 across the 8 of their papers we have counts for
8 papers
Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos
Yujin Ham, Junho Kim, Vivek Boominathan +1
Egocentric "walking tour" videos provide a rich source of image data to develop rich and diverse visual models of environments around the world. However, the significant presence o…
The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations
Kushal Vyas, Alper Kayabasi, Daniel Kim +3
The approximation and convergence properties of implicit neural representations (INRs) are known to be highly sensitive to parameter initialization strategies. While several data-d…
EgoGroups: A Benchmark For Detecting Social Groups of People in the Wild
Jeffri Murrugarra-Llerena, Pranav Chitale, Zicheng Liu +4
Social group detection, or the identification of humans involved in reciprocal interpersonal interactions (e.g., family members, friends, and customers and merchants), is a crucial…
GViT: Representing Images as Gaussians for Visual Recognition
Jefferson Hernandez, Ruozhen He, Guha Balakrishnan +2
We introduce GVIT, a classification framework that abandons conventional pixel or patch grid input representations in favor of a compact set of learnable 2D Gaussians. Each image i…
Fairness and Bias Mitigation in Computer Vision: A Survey
Sepehr Dehdashtian, Ruozhen He, Yi Li +4
Computer vision systems have witnessed rapid progress over the past two decades due to multiple advances in the field. As these systems are increasingly being deployed in high-stak…
Taming Data and Transformers for Audio Generation
Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin +2
The scalability of ambient sound generators is hindered by data scarcity, insufficient caption quality, and limited scalability in model architecture. This work addresses these cha…
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan +1
In this work, we address the challenge of multi-task image generation with limited data for denoising diffusion probabilistic models (DDPM), a class of generative models that produ…
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation
Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez
Diffusion models have revolutionized image generation in recent years, yet they are still limited to a few sizes and aspect ratios. We propose ElasticDiffusion, a novel training-fr…