activity
20212026
most citedAstroformer: More Data Might not be all you need for Classification

7 citations · 14 across the 17 of their papers we have counts for

collaborators

18 papers

astro-ph.EP2026

A Very Fast Symplectic Integrator for Planetary Systems: WHFast512 in x86 Assembly

Rishit Dagli, Hanno Rein

Long-term integrations of planetary systems are used in a variety of astrophysical applications, for example to determine a system's stability. In this paper, we describe significa…

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CV2026

Adaptive Volumetric Mechanical Property Fields Invariant to Resolution

Rishit Dagli, Donglai Xiang, Vismay Modi +4

Accurate mechanical properties (or materials) Young's modulus (), Poisson's ratio () and density () are essential for reliable physics simulation of digital worlds, but mo…

cs.CL2026

PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf

Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner +17

Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because revi…

cs.LG2026

STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations

Rishit Dagli, Abir Harrasse, Luke Zhang +4

Training Data Attribution (TDA) seeks to trace a model's predictions back to its training data. The gold standard for TDA relies on causal interventions, observing how a model chan…

cs.GR2026

FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes

Donglai Xiang, Vismay Modi, Rishit Dagli +5

We present a novel formulation for mesh-free, reduced-order simulation of deformable hyperelastic objects. Existing work in reduced-order elastodynamic simulation represents the in…

cs.RO2026

RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies

Jenai Xuning Yang, Rishit Dagli, Alex Zook +5

The pursuit of general-purpose robotics has yielded impressive foundation models, yet simulation-based benchmarking remains a bottleneck due to rapid performance saturation and a l…

cs.CV2025

VoMP: Predicting Volumetric Mechanical Property Fields

Rishit Dagli, Donglai Xiang, Vismay Modi +7

Physical simulation relies on spatially-varying mechanical properties, often laboriously hand-crafted. VoMP is a feed-forward method trained to predict Young's modulus (), Poiss…

cs.GR2025

Squeeze3D: Extreme Neural Compression with Latent Space Bridging

Rishit Dagli, Yushi Guan, Sankeerth Durvasula +2

We propose Squeeze3D, a novel framework that leverages implicit prior knowledge learnt by existing pre-trained encoders and decoders to compress 3D data at extremely high compressi…

cs.CV2025

Can Vision-Language Models Answer Face to Face Questions in the Real-World?

Reza Pourreza, Rishit Dagli, Apratim Bhattacharyya +3

AI models have made significant strides in recent years in their ability to describe and answer questions about real-world images. They have also made progress in the ability to co…

cs.CV2024

AirLetters: An Open Video Dataset of Characters Drawn in the Air

Rishit Dagli, Guillaume Berger, Joanna Materzynska +2

We introduce AirLetters, a new video dataset consisting of real-world videos of human-generated, articulated motions. Specifically, our dataset requires a vision model to predict l…

cs.CV2024★ 1 cited

NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild

Rishit Dagli, Atsuhiro Hibi, Rahul G. Krishnan +1

Current methods for performing 3D reconstruction and novel view synthesis (NVS) in ultrasound imaging data often face severe artifacts when training NeRF-based approaches. The arti…

eess.IV2024

Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraft

Ian Vyse, Rishit Dagli, Dav Vrat Chadha +26

Satellite remote sensing missions have gained popularity over the past fifteen years due to their ability to cover large swaths of land at regular intervals, making them ideal for…

cs.CV2024★ 1 cited

SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound

Rishit Dagli, Shivesh Prakash, Robert Wu +1

Generating combined visual and auditory sensory experiences is critical for the consumption of immersive content. Recent advances in neural generative models have enabled the creat…

eess.IV2024★ 1 cited

DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images

Rishit Dagli

Imaging under extremely low-light conditions presents a significant challenge and is an ill-posed problem due to the low signal-to-noise ratio (SNR) caused by minimal photon captur…

cs.SD2024

Tuning In: Analysis of Audio Classifier Performance in Clinical Settings with Limited Data

Hamza Mahdi, Eptehal Nashnoush, Rami Saab +4

This study assesses deep learning models for audio classification in a clinical setting with the constraint of small datasets reflecting real-world prospective data collection. We…

cs.CV2023★ 7 cited

Astroformer: More Data Might not be all you need for Classification

Rishit Dagli

Recent advancements in areas such as natural language processing and computer vision rely on intricate and massive models that have been trained using vast amounts of unlabelled or…

cs.CV2021★ 4 cited

CPPE-5: Medical Personal Protective Equipment Dataset

Rishit Dagli, Ali Mustufa Shaikh

We present a new challenging dataset, CPPE - 5 (Medical Personal Protective Equipment), with the goal to allow the study of subordinate categorization of medical personal protectiv…