activity
20192026
most citedThe Spectral Bias of the Deep Image Prior

23 citations · 27 across the 26 of their papers we have counts for

collaborators
Showing 2026Show all

11 papers · 1 filter

quant-ph2026

Utility-Based Path Selection and Configuration in Quantum Networks via Layered Shortest Paths

Leonardo Bacciottini, Subhransu Maji, Don Towsley +1

A path in a quantum network is a chain of repeaters that distributes entanglement between two users. Selecting a path requires balancing the rate and quality (e.g., fidelity) of th…

cs.CV2026

Scalable Model-Assisted Multi-Target Estimation in Large Image Collections

Max Hamilton, Jinlin Lai, Daniel Sheldon +1

Computer vision models are increasingly used as measurement tools to estimate population-level quantities from large image collections, but prediction errors introduce bias and the…

cs.CV2026

WildProp: Visual Estimation of Wildlife Body Proportions at Scale

Mustafa Chasmai, Aaron Sun, Subhransu Maji

Population-level morphometric measurements underpin ecological and evolutionary studies but traditionally require controlled imaging or physical specimen handling, limiting scalabi…

eess.IV2026

CATRF: Codec-Adaptive TriPlane Radiance Fields for Volumetric Content Delivery

Tung-I Chen, Lingdong Wang, Subhransu Maji +1

Volumetric media promises next-generation content delivery applications, but its bandwidth demand remains a key bottleneck. Implicit and hybrid volumetric representations reduce mo…

cs.SD2026

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study

Wuao Liu, Mustafa Chasmai, Subhransu Maji +1

Bioacoustic recognition requires fine-grained acoustic understanding to distinguish similar-sounding species. However, many large-scale data repositories such as iNaturalist are we…

q-bio.PE2026

Centering Ecological Goals in Automated Identification of Individual Animals

Lukas Picek, Timm Haucke, Lukáš Adam +16

Recognizing individual animals over time is central to many ecological and conservation questions, including estimating abundance, survival, movement, and social structure. Recent…

cs.CV2026

Active Measurement of Two-Point Correlations

Max Hamilton, Daniel Sheldon, Subhransu Maji

Two-point correlation functions (2PCF) are widely used to characterize how points cluster in space. In this work, we study the problem of measuring the 2PCF over a large set of poi…

cs.CV2026

RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs

Logan Lawrence, Mustafa Chasmai, Rangel Daroya +8

Fine-grained bird species identification in the wild is frequently unanswerable from a single image: key cues may be non-visual (e.g. vocalization), or obscured due to occlusion, c…

cs.CV2026

3D Space as a Scratchpad for Editable Text-to-Image Generation

Oindrila Saha, Vojtech Krs, Radomir Mech +3

Recent progress in large language models (LLMs) has shown that reasoning improves when intermediate thoughts are externalized into explicit workspaces, such as chain-of-thought tra…

astro-ph.GA2026

FEAST: Probing Hierarchical Star Formation with the Spatial Distributions of Young Star Clusters

Drew Lapeer, Daniela Calzetti, Kathryn Grasha +19

We apply the angular two-point correlation function (TPCF) to the spatial distribution of young star clusters (YSCs) in four nearby star forming galaxies (NGC 628, NGC 4449, M51, a…

cond-mat.mtrl-sci2026

Assessment of the synthetic feasibility of hypothetical zeolite-like materials based on ZeoNet

Yachan Liu, Elaine Wu, Ping Yang +4

A suite of classifiers was developed to distinguish experimentally synthesized zeolites from computationally predicted zeolite-like structures. Using convolutional neural networks…