27 citations · 123 across the 10 of their papers we have counts for
12 papers
EdgeWise: Bringing Long-Horizon Agents to the Edge via Selective Cloud Delegation
Zeru Shi, Jindong Jiang, Ryo Hachiuma +10
Complex and long-horizon agent tasks often rely on frontier models deployed in the cloud to achieve strong performance. However, using these models for every step of a long-horizon…
Accelerating Video Diffusion via Training-Free Trajectory Routing
Mustafa Munir, Huy Vu, Shreyas Misra +7
Video diffusion is computationally expensive, as it requires executing a large model across many denoising steps. Even with step-distillation, inference remains expensive because e…
The Shortest Route Is Not Always the Fastest: Probability-Modeled Stereoscopic Eye Movement Completion Time in VR
Budmonde Duinkharjav, Benjamin Liang, Anjul Patney +2
Speed and consistency of target-shifting play a crucial role in human ability to perform complex tasks. Shifting our gaze between objects of interest quickly and consistently requi…
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection
Yazhou Xing, Amrita Mazumdar, Anjul Patney +5
Low dynamic range (LDR) cameras cannot deal with wide dynamic range inputs, frequently leading to local overexposure issues. We present a learning-based system to reduce these arti…
Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency
Budmonde Duinkharjav, Praneeth Chakravarthula, Rachel Brown +2
We aim to ask and answer an essential question "how quickly do we react after observing a displayed visual target?" To this end, we present psychophysical studies that characterize…
FOVQA: Blind Foveated Video Quality Assessment
Yize Jin, Anjul Patney, Richard Webb +1
Previous blind or No Reference (NR) video quality assessment (VQA) models largely rely on features drawn from natural scene statistics (NSS), but under the assumption that the imag…
Evaluating Foveated Video Quality Using Entropic Differencing
Yize Jin, Anjul Patney, Alan Bovik
Virtual Reality is regaining attention due to recent advancements in hardware technology. Immersive images / videos are becoming widely adopted to carry omnidirectional visual info…
Learning to Compress Videos without Computing Motion
Meixu Chen, Todd Goodall, Anjul Patney +1
With the development of higher resolution contents and displays, its significant volume poses significant challenges to the goals of acquiring, transmitting, compressing, and displ…
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg +4
Disentanglement learning is crucial for obtaining disentangled representations and controllable generation. Current disentanglement methods face several inherent limitations: diffi…
Spoke-Darts for High-Dimensional Blue-Noise Sampling
Scott A. Mitchell, Mohamed S. Ebeida, Muhammad A. Awad +6
Blue noise sampling has proved useful for many graphics applications, but remains underexplored in high-dimensional spaces due to the difficulty of generating distributions and pro…
Piko: A Design Framework for Programmable Graphics Pipelines
Anjul Patney, Stanley Tzeng, Kerry A. Seitz +1
We present Piko, a framework for designing, optimizing, and retargeting implementations of graphics pipelines on multiple architectures. Piko programmers express a graphics pipelin…
k-d Darts: Sampling by k-Dimensional Flat Searches
Mohamed S. Ebeida, Anjul Patney, Scott A. Mitchell +3
We formalize the notion of sampling a function using k-d darts. A k-d dart is a set of independent, mutually orthogonal, k-dimensional subspaces called k-d flats. Each dart has d c…