Pramish Paudel

I am a researcher at INSAIT, where I am fortunate to work with Prof. Luc Van Gool and Prof. Dr. Danda Pani Paudel.

My goal is to build world models that can reason about cause and effect, so that AI can make scientific discoveries. I approach this from the representation: models that learn from video should respect the fundamental physical laws of the world. My latest work, iSEE, learns one of them, object permanence, from video without labels.

From January 2025 to July 2026, I was also CTO and co-founder of Sceneverse AI (later WideLabs AI), where I worked with Pilatus Aircraft on visual assistance for technicians.

I did my B.E. in Computer Engineering at Pulchowk Campus, Tribhuvan University, Nepal. My thesis was published at ECCV 2024 as iHuman, the first-ever top-tier computer vision conference paper from a Nepalese institute.

I am applying to PhD programs for Fall 2027.

E-mail: pramish[dot]paudel[at]gmail[dot]com

Publications

* equal contribution

iSEE: Object Permanence Through Self-Supervision

Pramish Paudel, Ajad Chhatkuli, Luc Van Gool, Danda Pani Paudel

Under review Paper Project Code

A self-supervised method that learns object permanence from video without labels; within 4.1 mAP of a supervised tracker on LA-CATER.
Vision Transformers Need Cross Aggregation for Patch Semantics (CALiT)

Ajad Chhatkuli, Pramish Paudel, Deheng Zhang, Kanzhi Wu, Luc Van Gool, Danda Pani Paudel

Under review Project

A loss on the CLS token sends most ViT patches nearly the same gradient. Cross aggregation fixes this and sharpens patch features, for 0.6% extra FLOPs on ViT-S.
iARCS: Iterative Agentic RL for Controllable 3D Scene Generation

Pramish Paudel*, Saugat Adhikari*, Ashok Prasad Neupane*, Ajad Chhatkuli, Danda Pani Paudel

Under review; presented at the Synthetic Data for Computer Vision Workshop, CVPR 2026 Paper Project Code Data

Agentic RL that steers 3D scene generators toward language-specified constraints.
iADD: Improving Alignment and Diversity in Diffusion Policy Optimization

Pramish Paudel*, Saugat Adhikari*, Ashok Prasad Neupane*, Ajad Chhatkuli, Danda Pani Paudel

Under review Paper Project Code

RL post-training that improves both alignment and diversity of diffusion models.
SceneBench: A Hierarchical Benchmark for Vision-Language Understanding of 3D Scenes

Anubhav Khanal, Prabigya Acharya, Roshni Poudel, Sujan Kapali, Bigyan Bhatta, Pramish Paudel, Francois Rameau, Danda Pani Paudel

Under review Paper

A benchmark for vision-language understanding of 3D scenes.
iHuman: Instant Animatable Digital Humans From Monocular Videos

Pramish Paudel, Anubhav Khanal, Danda Pani Paudel, Jyoti Tandukar, Ajad Chhatkuli

ECCV 2024 Paper Project Code Video

Animatable 3D human reconstruction from monocular video. My undergraduate thesis.

Honors & Awards

INSAIT Summer Undergraduate Research Fellowship (SURF), 2024. Fully funded research fellowship for undergraduates worldwide; acceptance rate under 2%.
University Grants Commission (UGC) Grant, 2023. Brought ~US$30K from UGC Nepal to my department for my project; one of 18 recipients across Nepal.
Hult Prize Global Accelerator, Boston, 2022. Won the regional summit with MeasureMe.AI and reached the top 16 of 30,000+ teams competing for the US$1 million prize.
Merit-based Scholarship, 2021. Awarded for one semester, Department of Electronics and Computer Engineering, Pulchowk Campus.

Academic Service

Reviewer: ICLR, IEEE RA-L, ACM TOMM